From 27fe841a0223c5befc14633eb6789a222f16491c Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:01:27 -0600
Subject: [PATCH 01/23] Add files via upload

updating main files in root directory
---
 QuESt.kv  | 46 ++++++++++++++++++++++++++++++++++++++++++----
 README.md | 33 +++++++++++++++++++++++++++++++++
 main.py   | 26 ++++++++++++++++++++++++++
 setup.py  |  3 ++-
 4 files changed, 103 insertions(+), 5 deletions(-)

diff --git a/QuESt.kv b/QuESt.kv
index 28a352c9..7489bf18 100644
--- a/QuESt.kv
+++ b/QuESt.kv
@@ -12,6 +12,7 @@
 #:include es_gui/apps/data_manager/rate_structure.kv
 #:include es_gui/apps/data_manager/load.kv
 #:include es_gui/apps/data_manager/widgets.kv
+#:include es_gui/apps/data_manager/power.kv
 #:include es_gui/apps/data_manager/pv.kv
 #:include es_gui/apps/data_manager/nsrdb.kv
 
@@ -32,6 +33,10 @@
 #:include es_gui/apps/tech_selection/tech_selection_wizard.kv
 #:include es_gui/apps/tech_selection/results_viewer.kv
 
+#:include es_gui/apps/equity/home.kv
+#:include es_gui/apps/equity/peaker_rep.kv
+#:include es_gui/apps/equity/reporting.kv
+
 #:include es_gui/proving_grounds/data_importer.kv
 #:include es_gui/proving_grounds/help_carousel.kv
 
@@ -93,12 +98,12 @@
             size_hint: (1, 0.75)
 
             GridLayout:
-                size_hint_x: 0.4
+                size_hint_x: 0.3
                 cols: 1
                 spacing: 5
                 row_force_default: True
-                row_default_height: self.height/6
-                padding: (100, 50)
+                row_default_height: self.height/4
+                padding: (5, 50)
 
                 AppSelectionIndexButton:
                     text: ('[font=Modern Pictograms][size=54]_[/font][/size]\nQuESt Data Manager')
@@ -112,6 +117,15 @@
                     text: ('[font=Modern Pictograms][size=54]p[/font][/size]\nQuESt BTM')
                     on_state: root.app_select_sm.current = 'btm'
                     
+
+            GridLayout:
+                size_hint_x: 0.3
+                cols: 1
+                spacing: 5
+                row_force_default: True
+                row_default_height: self.height/4
+                padding: (5, 50)
+
                 AppSelectionIndexButton:
                     text: ('[font=Modern Pictograms][size=54]6[/font][/size]\nQuESt Performance')
                     on_state: root.app_select_sm.current = 'performance'
@@ -120,6 +134,11 @@
                     text: ('[font=Modern Pictograms][size=54]E[/font][/size]\nTechnology Selection')
                     on_state: root.app_select_sm.current = 'technology selection'
 
+                AppSelectionIndexButton:
+                    #state: 'down'
+                    text: ('[font=Modern Pictograms][size=54]g[/font][/size]\nQuESt Equity')
+                    on_state: root.app_select_sm.current = 'equity'
+
             BoxLayout:
                 size_hint_x: 0.6
                 orientation: 'vertical'
@@ -140,7 +159,7 @@
                                 text: 'QuESt Data Manager'
 
                             AppSelectionDescBody:
-                                text: 'Manages the acquisition of data from ISO/RTOs, databases, and other sources for use in QuESt applications, including: \n *ISO/RTO historical market data \n *U.S. utility rate structures/tariffs \n *Commercial and residential building load profiles \n *Photovoltaic power system profiles \n *Weather data'
+                                text: 'Manages the acquisition of data from ISO/RTOs, databases, and other sources for use in QuESt applications, including: \n *ISO/RTO historical market data \n *U.S. utility rate structures/tariffs \n *Commercial and residential building load profiles \n *Photovoltaic power system profiles \n *Weather data \n *Powerplant dispatch and pollution data'
 
                             AnchorLayout:
                                 anchor_x: 'center'
@@ -221,7 +240,26 @@
                                 AppIndexGoButton:
                                     text: 'Get started'
                                     on_release: root.manager.launch_tech_selection()
+                    
+                    Screen:
+                        name: 'equity'
+
+                        AppSelectionDescBox:
+                            AppSelectionDescTitle:
+                                text: 'QuESt Equity' 
+
+                            AppSelectionDescBody:
+                                text: 'A collection of tools for energy equity and environmental justice (EEEJ) applications of energy storage systems:\n*replace a selected power plant with ES+PV'
+
+                            AnchorLayout:
+                                anchor_x: 'center'
+                                anchor_y: 'top'
+
+                                AppIndexGoButton:
+                                    text: 'Get started'
+                                    on_release: root.manager.launch_equity()
 
+                    
                     Screen:
                         name: 'handbook'
 
diff --git a/README.md b/README.md
index 2cf5c34d..fa43c88b 100644
--- a/README.md
+++ b/README.md
@@ -68,6 +68,13 @@ An application for identifying the energy storage technologies most suitable for
 
 <img src="patch_note_resources/gifs/tech_selection.gif" alt="Technology selection wizard charts" width=600px margin="auto" />
 
+#### QuESt Equity
+
+An application for assessing energy equity and environmental justice of energy storage projects. This application currently has the powerplant replacement wizard that estimates the health and climate benefits of substituting a powerplant with energy storage and PV. It then calculates the county level benefits to estimate how much the project would impact disadvantaged communities and people with low incomes.
+
+<img src="patch_note_resources/gifs/09_powerplant_rep.gif" alt="Powerplant replacement wizard charts" width=600px margin="auto" />
+
+
 ### Who should use it?
 The software is designed to be used by anyone with an interest in performing analysis of energy storage or its applications without having to create their own models or write their own code. It’s designed to be easy to use out of the box but also modifiable by the savvy user if they so choose. The software is intended to be used as a platform for running simulations, obtaining results, and using the information to inform planning decisions. 
 
@@ -271,6 +278,10 @@ It is approximately Albuquerque, NM.
 
 Leaving the text input field blank sets the tilt angle to the latitude of the site.
 
+> I try to download data for a powerplant and get "An error has occurred with the COBRA API."
+
+This can occur if you are requesting data for a powerplant outside of the continental U.S. or if there is some issue with the FIPS code for the county (e.g., it applies to a city instead of a county). We are working on correcting this kind of error but there is no fix at this time. 
+
 ### QuESt Valuation
 <a id="faq-valuation"></a>
 
@@ -321,6 +332,21 @@ This is a known issue. You can try to generate the report again in order to fix
 
 Since version 1.2.f, you can import your own time series data (PV and load profiles) through the user interface. You can also import your own data by adding to the QuESt data bank manually. See below for details.
 
+### QuESt Equity
+<a id="faq-equity"></a>
+
+> Can I adjust the powerplant parameters in the wizard?
+
+No, any adjustments must be made in QuESt Data Manager before saving the entire powerplant data file.
+
+> Can I use a PV profile sepororat from what the QuESt Data Manager downloads automatically for the powerplant?
+
+Yes. You would need to normalize it to the range [0,1] and then open the powerplant data file and replace the parameter "pv" with the new normalized profile. The wizard would then use the new profile when that powerplant data file was selected.
+
+> When I select more than three replacement fractions the figures don't display correctly and I can't read the lables.
+
+This is a known issue. The output file (labled outputfile.json) can be found in `/results/equity/YYYY_MM_DD_HHMMSS/` and has all of the results stored so that they can be plotted corectly thorugh another program. 
+
 #### Rate structure
 The rate structure files are stored as .json files in `/data/rate_structures/` after being downloaded through QuESt Data Manager. You can add a new file following the format of one downloaded using QuESt Data Manager. The general structure of the .json object is as follows:
 
@@ -358,6 +384,13 @@ The format is basically two columns; the "Date/Time" column gives the month, day
 
 Once new files are added to the `data` bank appropriately, they should be picked up in the relevant applications when you are prompted to make a selection.
 
+#### powerplant data and dispatch profile
+The powerplant data files are stored as .json files in `/data/power_plant/` after being downloaded through QuESt Data Manager. You can add a new file following the format of one downloaded using QuESt Data Manager. 
+
+The format has the plant medidata stored by parameter name. For example {"Name": "Calpine Hidalgo Energy Center",}. The parameter "plant_dispatch" has a hourly dispatch for 1 year in MW stored as a list of floating points [1,2,3,4,5,6 ...], while the parameter "pv" has a similar list of available PV resource but it is normalized to the range [0,1] on a per MW basis. The "COBRA_results" parameter stores the county level "Impacts" and a "Summary" of the total impacts across the country. The "health_impact_equity" parameter has data calculated by cross-referencing the "COBRA_results" with census data for each county. Classification as a disadvantaged communities is done by census tract so the population fraction of a county living in a disadvantaged community is calculated by the total population of census tracts within a county that are considered disadvantaged divided by the total population of the county. 
+
+Once new files are added to the `data` bank appropriately, they should be picked up in the relevant applications when you are prompted to make a selection.
+
 ## References
 <a id="references"></a>
 Nguyen, Tu A., David A. Copp, and Raymond H. Byrne. "Stacking Revenue of Energy Storage System from Resilience, T&D Deferral and Arbitrage." 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019.
diff --git a/main.py b/main.py
index 81811f62..84a1c6cc 100644
--- a/main.py
+++ b/main.py
@@ -66,6 +66,7 @@
 from es_gui.apps.data_manager.rate_structure import RateStructureDataScreen
 from es_gui.apps.data_manager.load import DataManagerLoadHomeScreen, DataManagerCommercialLoadScreen, DataManagerResidentialLoadScreen
 from es_gui.apps.data_manager.pv import PVwattsSearchScreen
+from es_gui.apps.data_manager.power import PowerPlantSearchScreen
 from es_gui.apps.data_manager.nsrdb import NSRDBDataScreen
 
 # Valuation
@@ -88,6 +89,11 @@
 from es_gui.apps.tech_selection.tech_selection_wizard import TechSelectionWizard
 from es_gui.apps.tech_selection.results_viewer import TechSelectionFeasible
 
+# Equity
+from es_gui.apps.equity.home import EquityHomeScreen
+from es_gui.apps.equity.peaker_rep import PeakerRepWizard
+from es_gui.apps.equity.results_viewer import PowerPlantResultsViewer
+
 # Font registration.
 LabelBase.register(name='Exo 2',
                    fn_regular=os.path.join('es_gui', 'resources', 'fonts', 'Exo_2', 'Exo2-Regular.ttf'),
@@ -240,6 +246,7 @@ def __init__(self, **kwargs):
         self.add_widget(DataManagerResidentialLoadScreen(name='data_manager_residential_load'))
         self.add_widget(PVwattsSearchScreen(name='data_manager_pvwatts'))
         self.add_widget(NSRDBDataScreen(name='data_manager_nsrdb'))
+        self.add_widget(PowerPlantSearchScreen(name='data_manager_power_plant'))
 
         # Energy storage valuation.
         self.add_widget(ValuationHomeScreen(name='valuation_home'))
@@ -262,6 +269,11 @@ def __init__(self, **kwargs):
         self.add_widget(TechSelectionWizard(name='tech_selection_wizard'))
         self.add_widget(TechSelectionFeasible(name='feasible_techs'))
     
+        # Equity applications.
+        self.add_widget(EquityHomeScreen(name='equity_home'))
+        self.add_widget(PeakerRepWizard(name='peaker_rep_wizard'))
+        self.add_widget(PowerPlantResultsViewer(name='equity_results_viewer'))
+    
     def launch_valuation(self):
         """"""
         data_manager = App.get_running_app().data_manager
@@ -303,6 +315,20 @@ def launch_performance(self):
             no_data_popup.open()
         else: 
             self.current = 'performance_home'
+    
+    def launch_equity(self):
+        """"""
+        data_manager = App.get_running_app().data_manager
+
+        try:
+            data_manager.scan_equity_data_bank()
+        except FileNotFoundError:
+            # 'data' directory does not exist.
+            no_data_popup = WarningPopup()
+            no_data_popup.popup_text.text = "Looks like you haven't downloaded any data yet. Try using QuESt Data Manager to get some data before returning here!"
+            no_data_popup.open()
+        else: 
+            self.current = 'equity_home'
             
     def launch_tech_selection(self):
         """"""    
diff --git a/setup.py b/setup.py
index f75df325..1c38bf8f 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 from distutils.core import Extension
 
 DISTNAME = "QuESt"
-VERSION = "1.6"
+VERSION = "1.7-beta"
 EXTENSIONS = []
 PYTHON_REQUIRES = ">=36"
 DESCRIPTION = "Sandia National Laboratories application suite for energy storage analysis and evaluation tools."
@@ -34,6 +34,7 @@
         "eppy",
         "openpyxl",
         "pyutilib",
+        "numpy_financial",
     ],
 }
 

From f035f26030cb15decaa5cd539dea0c4b8b75c487 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:02:25 -0600
Subject: [PATCH 02/23] Add files via upload

added powerplant replacement wizard gif
---
 .../gifs/09_powerplant_rep.gif                 | Bin 0 -> 799408 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 patch_note_resources/gifs/09_powerplant_rep.gif

diff --git a/patch_note_resources/gifs/09_powerplant_rep.gif b/patch_note_resources/gifs/09_powerplant_rep.gif
new file mode 100644
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From f113ef6880016c2376d6ddcc3ccc2e9e240c7510 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:04:26 -0600
Subject: [PATCH 03/23] Add files via upload

added equity directory to the file tree
---
 results/equity/plots/benefits map.png         | Bin 0 -> 335550 bytes
 results/equity/plots/cost-benefit.png         | Bin 0 -> 109013 bytes
 results/equity/report/images/static/DOE.png   | Bin 0 -> 120843 bytes
 .../report/images/static/Quest_Logo_RGB.png   | Bin 0 -> 18113 bytes
 .../report/images/static/Quest_Logo_RGB.svg   |  28 ++++++++++++++++++
 .../images/static/Quest_Logo_RGB_Reversed.png | Bin 0 -> 17358 bytes
 .../images/static/Quest_Logo_RGB_Reversed.svg |  28 ++++++++++++++++++
 results/equity/report/images/static/SNL.png   | Bin 0 -> 16145 bytes
 8 files changed, 56 insertions(+)
 create mode 100644 results/equity/plots/benefits map.png
 create mode 100644 results/equity/plots/cost-benefit.png
 create mode 100644 results/equity/report/images/static/DOE.png
 create mode 100644 results/equity/report/images/static/Quest_Logo_RGB.png
 create mode 100644 results/equity/report/images/static/Quest_Logo_RGB.svg
 create mode 100644 results/equity/report/images/static/Quest_Logo_RGB_Reversed.png
 create mode 100644 results/equity/report/images/static/Quest_Logo_RGB_Reversed.svg
 create mode 100644 results/equity/report/images/static/SNL.png

diff --git a/results/equity/plots/benefits map.png b/results/equity/plots/benefits map.png
new file mode 100644
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literal 0
HcmV?d00001


From f10c2912069fa14a12fe0a201be3d12c3f8fb94e Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:05:18 -0600
Subject: [PATCH 04/23] Add files via upload

added geojson license file to the list of licenses
---
 licenses/gepjson.txt | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)
 create mode 100644 licenses/gepjson.txt

diff --git a/licenses/gepjson.txt b/licenses/gepjson.txt
new file mode 100644
index 00000000..1d9d7baf
--- /dev/null
+++ b/licenses/gepjson.txt
@@ -0,0 +1,20 @@
+The MIT License (MIT)
+
+Copyright (c) 2018 Josh Baker
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of
+this software and associated documentation files (the "Software"), to deal in
+the Software without restriction, including without limitation the rights to
+use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
+the Software, and to permit persons to whom the Software is furnished to do so,
+subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
+FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
+COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
+IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
+CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
\ No newline at end of file

From bdebda807d9cf1a0630edaffe315090b56079d8b Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:12:14 -0600
Subject: [PATCH 05/23] Add files via upload

---
 quest.ini | 30 ++++++++++++++++++++++++++++++
 1 file changed, 30 insertions(+)
 create mode 100644 quest.ini

diff --git a/quest.ini b/quest.ini
new file mode 100644
index 00000000..36b6adff
--- /dev/null
+++ b/quest.ini
@@ -0,0 +1,30 @@
+[optimization]
+solver = glpk
+
+[connectivity]
+use_proxy = 1
+http_proxy = proxy.sandia.gov:80
+https_proxy = proxy.sandia.gov:80
+use_ssl_verify = 1
+
+[valuation]
+valuation_dms_save = 1
+valuation_dms_size = 20000
+
+[btm]
+btm_dms_save = 1
+btm_dms_size = 20000
+
+[datamanager-pjm]
+pjm_subscription_key = 
+
+[datamanager-isone]
+iso-ne_api_username = 
+
+[datamanager-openei]
+openei_key = jr6myvRcZrtgV0H2xgevAcXCMPe0hT3JOkwawd6v
+
+[performance]
+performance_dms_save = 1
+performance_dms_size = 20000
+

From db59695bc4ef2708b91cb42e33e70a180aaa658f Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:17:37 -0600
Subject: [PATCH 06/23] Add files via upload

fixed gif
---
 .../gifs/09_powerplant_rep.gif                | Bin 799408 -> 1191034 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/patch_note_resources/gifs/09_powerplant_rep.gif b/patch_note_resources/gifs/09_powerplant_rep.gif
index b30eecbc8f8b2eed6d6e1c98a0c7219c3dc6a4eb..0dfb110b9d19042cbcddb09182724e4c50533b9c 100644
GIT binary patch
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From 3c823be5f637f1325114a0413f6b73896968eb5c Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:19:40 -0600
Subject: [PATCH 07/23] Add files via upload

---
 .../disadvantaged_pop_by_county_2010.csv      |   3234 +
 .../_static/equity_analysis_params.json       |     74 +
 .../_static/geojson-counties-fips.json        | 459704 +++++++++++++++
 .../_static/power_plant_model_params.json     |     29 +
 4 files changed, 463041 insertions(+)
 create mode 100644 es_gui/apps/data_manager/_static/disadvantaged_pop_by_county_2010.csv
 create mode 100644 es_gui/apps/data_manager/_static/equity_analysis_params.json
 create mode 100644 es_gui/apps/data_manager/_static/geojson-counties-fips.json
 create mode 100644 es_gui/apps/data_manager/_static/power_plant_model_params.json

diff --git a/es_gui/apps/data_manager/_static/disadvantaged_pop_by_county_2010.csv b/es_gui/apps/data_manager/_static/disadvantaged_pop_by_county_2010.csv
new file mode 100644
index 00000000..61a00b81
--- /dev/null
+++ b/es_gui/apps/data_manager/_static/disadvantaged_pop_by_county_2010.csv
@@ -0,0 +1,3234 @@
+fips,Population,% in disadvantaged comunity,% low income (<200% poverty)
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diff --git a/es_gui/apps/data_manager/_static/equity_analysis_params.json b/es_gui/apps/data_manager/_static/equity_analysis_params.json
new file mode 100644
index 00000000..bbf16f33
--- /dev/null
+++ b/es_gui/apps/data_manager/_static/equity_analysis_params.json
@@ -0,0 +1,74 @@
+[
+    {
+        "name": "discount rate",
+        "attr name": "discount_rate",
+        "notes": "The discount rate for future costs and revenues (fuel costs, estimated health costs, etc).",
+        "max": 100,
+        "default": 3,
+        "step": 0.1,
+        "units": "%"
+    },
+    {
+        "name": "cost per ton of CO2",
+        "attr name": "cost_per_ton_of_CO2",
+        "notes": "The assumed cost per ton of CO2 procuded by the power plant. ",
+        "max": 10000,
+        "default": 93,
+        "step": 1,
+        "units": "$/ton"
+    },
+    {
+        "name": "cost per MW PV system",
+        "attr name": "cost_per_MW_PV_system",
+        "notes": "The per MW cost of the PV system",
+        "max": 10000000,
+        "default": 1200000,
+        "step": 1,
+        "units": "$/MW"
+    },
+    {
+        "name": "fixed (offset) cost of PV system",
+        "attr name": "fixed_cost_of_PV_system",
+        "notes": "The fixed cost of the PV system (can be negative).",
+        "max": 10000000,
+        "default": 0,
+        "step": 1,
+        "units": "$"
+    },
+    {
+        "name": "cost per MW BESS",
+        "attr name": "cost_per_MW_BESS",
+        "notes": "The per MW cost of the BESS.",
+        "max": 10000000,
+        "default": 3178,
+        "step": 1,
+        "units": "$/MW"
+    },
+    {
+        "name": "cost per MWh BESS",
+        "attr name": "cost_per_MWh_BESS",
+        "notes": "The per MWh cost of the BESS.",
+        "max": 10000000,
+        "default": 340478,
+        "step": 1,
+        "units": "$/MWh"
+    },
+    {
+        "name": "fixed cost (offset) of the BESS",
+        "attr name": "fixed_cost_of_the_BESS",
+        "notes": "The fixed (offset) cost of the BESS (can be negative).",
+        "max": 10000000,
+        "default": -31447,
+        "step": 1,
+        "units": "$"
+    },
+    {
+        "name": "BESS Round Trip Efficiency",
+        "attr name": "bess_round_trip_efficiency",
+        "notes": "The round trip efficiency of the battery energy storage system",
+        "max": 100,
+        "default": 90,
+        "step": 1,
+        "units": "%"
+    }
+]
\ No newline at end of file
diff --git a/es_gui/apps/data_manager/_static/geojson-counties-fips.json b/es_gui/apps/data_manager/_static/geojson-counties-fips.json
new file mode 100644
index 00000000..d3440ee4
--- /dev/null
+++ b/es_gui/apps/data_manager/_static/geojson-counties-fips.json
@@ -0,0 +1,459704 @@
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+            "id": "51041"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/es_gui/apps/data_manager/_static/power_plant_model_params.json b/es_gui/apps/data_manager/_static/power_plant_model_params.json
new file mode 100644
index 00000000..7baf44cb
--- /dev/null
+++ b/es_gui/apps/data_manager/_static/power_plant_model_params.json
@@ -0,0 +1,29 @@
+[
+    {
+        "name": "plant oris id",
+        "attr name": "Plant_id",
+        "notes": "The power plant's ORIS identification number",
+        "max": 10000000,
+        "default": 7762,
+        "step": 1,
+        "units": "#"
+    },
+    {
+        "name": "plant location id",
+        "attr name": "location_id",
+        "notes": "The location id for a given location at a power plant (use 0 for all locations at the power plant)",
+        "max": 100,
+        "default": 0,
+        "step": 1,
+        "units": "#"
+    },
+    {
+        "name": "year",
+        "attr name": "year",
+        "notes": "The year to retrive dispatch and polution data for",
+        "max": 10000000,
+        "default": 2021,
+        "step": 1,
+        "units": "format: yyyy"
+    }
+]
\ No newline at end of file

From dd9bbb5ac7b319ea8b1fce118882129ffc3970e6 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:20:11 -0600
Subject: [PATCH 08/23] Add files via upload

---
 es_gui/apps/data_manager/data_manager.py |  75 ++
 es_gui/apps/data_manager/home.kv         |  74 +-
 es_gui/apps/data_manager/home.py         |   5 +-
 es_gui/apps/data_manager/power.kv        | 108 +++
 es_gui/apps/data_manager/power.py        | 860 +++++++++++++++++++++++
 5 files changed, 1092 insertions(+), 30 deletions(-)
 create mode 100644 es_gui/apps/data_manager/power.kv
 create mode 100644 es_gui/apps/data_manager/power.py

diff --git a/es_gui/apps/data_manager/data_manager.py b/es_gui/apps/data_manager/data_manager.py
index fcb23c7f..84d64b09 100644
--- a/es_gui/apps/data_manager/data_manager.py
+++ b/es_gui/apps/data_manager/data_manager.py
@@ -127,6 +127,39 @@ def _scan_btm_data_bank():
         
         thread = threading.Thread(target=_scan_btm_data_bank)
         thread.start()       
+
+    def scan_equity_data_bank(self):
+        """Scans the equity data bank to determine what data has been downloaded."""
+        # Check if data bank exists.
+        # Check if data bank exists.
+        try:
+            os.listdir(self.data_bank_root)
+        except FileNotFoundError:
+            return
+
+        # Open loading screen.
+        self.loading_screen = LoadingModalView()
+        self.loading_screen.loading_text.text = 'Scanning data files...'
+        self.loading_screen.open()
+
+        self.n_threads_scanning = 1
+
+        def _scan_equity_data_bank():
+            # Quit?
+            if App.get_running_app().root.stop.is_set():
+                # Stop running this thread so the main Python process can exit.
+                return
+
+            self._scan_power_plant_data_bank()
+            self._scan_btm_pv_profile_data_bank()
+            
+
+            self.n_threads_scanning -= 1
+        
+        thread = threading.Thread(target=_scan_equity_data_bank)
+        thread.start()
+           
+    
     
     def _scan_rate_structure_data_bank(self):
         """Scans the saved rate structure data bank."""
@@ -224,6 +257,24 @@ def _scan_btm_pv_profile_data_bank(self):
             
         self.data_bank['PV profiles'] = pv_profile_data_bank
     
+    def _scan_power_plant_data_bank(self):
+        """Scans the saved power plant data bank."""
+        power_plant_root = os.path.join(self.data_bank_root, 'power_plant')
+        power_plant_data_bank = {}
+
+        try:
+            os.listdir(power_plant_root)
+        except FileNotFoundError:
+            return
+
+        for power_plant in os.scandir(power_plant_root):
+            if not power_plant.name.startswith('.'):
+                plant_key = power_plant.name.split('.')[0]
+                plant_val = power_plant.path
+                power_plant_data_bank[plant_key] = plant_val
+            
+        self.data_bank['power plants'] = power_plant_data_bank
+
     def get_rate_structures(self):
         """Returns a dictionary of all of the rate structures saved to the data bank."""
         # Sort by name alphabetically before returning.
@@ -254,6 +305,16 @@ def get_pv_profiles(self):
 
         return return_dict
     
+    def get_plants(self):
+        """Returns a dictionary of all of the power plants saved to the data bank."""
+        # Sort by name alphabetically before returning.
+        try:
+            return_dict = collections.OrderedDict(sorted(self.data_bank['power plants'].items(), key=lambda t: t[0]))
+        except KeyError:
+            raise(KeyError('It looks like no power plants have been saved.'))
+
+        return return_dict
+    
     def get_markets(self):
         """Returns a keys view of all of the markets for valuation available."""
         # self.scan_valuation_data_bank()
@@ -1233,6 +1294,20 @@ def get_btm_cost_savings_model_params(self):
             model_params_all = json.load(fp)
 
         return model_params_all
+
+    def get_power_plant_model_params(self):
+        """Returns the list of dictionaries of parameters for the power plant system model from the EPA databse."""
+        with open(os.path.join('es_gui', 'apps', 'data_manager', '_static', 'power_plant_model_params.json'), 'r') as fp:
+            model_params_all = json.load(fp)
+
+        return model_params_all
+    
+    def get_equity_analysis_params(self):
+        """Returns the list of dictionaries of parameters for the power plant system model from the EPA databse."""
+        with open(os.path.join('es_gui', 'apps', 'data_manager', '_static', 'equity_analysis_params.json'), 'r') as fp:
+            model_params_all = json.load(fp)
+
+        return model_params_all
     
     def get_pvwatts_search_params(self):
         """Returns the list of dictionaries of parameters for the PVWatts PV profile search."""
diff --git a/es_gui/apps/data_manager/home.kv b/es_gui/apps/data_manager/home.kv
index f2dc7c57..b24b8615 100644
--- a/es_gui/apps/data_manager/home.kv
+++ b/es_gui/apps/data_manager/home.kv
@@ -13,37 +13,53 @@
             text: '[font=Modern Pictograms][size=48]w[/size][/font] Internet connectivity is required to download data.'
             size_hint_y: 0.1
 
-        GridLayout:
-            cols: 1
-            spacing: 5
-            row_force_default: True
-            row_default_height: self.height/5
-            padding: (0, 50)
+        BoxLayout:
+            orientation: 'horizontal'
+            size_hint: (1, 0.75)
 
-            DataManagerMenuTileButton:
-                background_color: C(hex_primary)
-                text: 'ISO/RTO Market and Operations'
-                on_release: root.manager.current = 'data_manager_rto_mo_data'
-            
-            DataManagerMenuTileButton:
-                background_color: C(hex_primary)
-                text: 'Utility Rate Structures'
-                on_release: root.manager.current = 'data_manager_rate_structure_data'
-            
-            DataManagerMenuTileButton:
-                background_color: C(hex_primary)
-                text: 'Commercial/Residential Building Load Profiles'
-                on_release: root.manager.current = 'data_manager_load_home'
-            
-            DataManagerMenuTileButton:
-                background_color: C(hex_primary)
-                text: 'Photovoltaic Power Profiles'
-                on_release: root.manager.current = 'data_manager_pvwatts'
+            GridLayout:
+                cols: 1
+                spacing: 5
+                row_force_default: True
+                row_default_height: self.height/3
+                padding: (5, 50)
+
+                DataManagerMenuTileButton:
+                    background_color: C(hex_primary)
+                    text: 'ISO/RTO Market and Operations'
+                    on_release: root.manager.current = 'data_manager_rto_mo_data'
+                
+                DataManagerMenuTileButton:
+                    background_color: C(hex_primary)
+                    text: 'Utility Rate Structures'
+                    on_release: root.manager.current = 'data_manager_rate_structure_data'
+                
+                DataManagerMenuTileButton:
+                    background_color: C(hex_primary)
+                    text: 'Commercial/Residential Building Load Profiles'
+                    on_release: root.manager.current = 'data_manager_load_home'
+                
+            GridLayout:
+                cols: 1
+                spacing: 5
+                row_force_default: True
+                row_default_height: self.height/3
+                padding: (5, 50)
+                
+                DataManagerMenuTileButton:
+                    background_color: C(hex_primary)
+                    text: 'Photovoltaic Power Profiles'
+                    on_release: root.manager.current = 'data_manager_pvwatts'
+                    
+                DataManagerMenuTileButton:
+                    background_color: C(hex_primary)
+                    text: 'NSRDB Weather Data'
+                    on_release: root.manager.current = 'data_manager_nsrdb'
                 
-            DataManagerMenuTileButton:
-                background_color: C(hex_primary)
-                text: 'NSRDB Weather Data'
-                on_release: root.manager.current = 'data_manager_nsrdb'
+                DataManagerMenuTileButton:
+                    background_color: C(hex_primary)
+                    text: 'Powerplant Dispatch and Pollution Data'
+                    on_release: root.manager.current = 'data_manager_power_plant'
 
 <DataManagerMenuTileButton@MenuTileButton>:
     font: huge_font
diff --git a/es_gui/apps/data_manager/home.py b/es_gui/apps/data_manager/home.py
index 50a327af..7fd7e060 100644
--- a/es_gui/apps/data_manager/home.py
+++ b/es_gui/apps/data_manager/home.py
@@ -41,6 +41,8 @@ def open_help_carousel(self, *args):
         slide_06_text = "National Solar Radiation Database (NSRDB) weather data is available to download for performance applications. With the longitude and latitude of your desired location, a year of data may be obtained."
         
         slide_07_text = "Once a file name has been entered and the save button is clicked, the EnergyPlus weather converter will run (must have EnergyPlus installed and in the QuESt directory; see Performance Tool for more information). Simply select the location data csv file, ensure the selected output format is EnergyPlus weather format (EPW), and enter the file name to save."
+        
+        slide_08_text = "If there is an issue with the data from any one of the five necessary databases the download will fail. The benefits calculation is performed by adding powerplant pollution to tier 1 baseline in the COBRA 2023 forecast and multiplying the resulting value estimation by -1. This avoids problems where powerplant pollution exceeds baseline pollution."
 
         slides = [
             (os.path.join("es_gui", "resources", "help_views", "data_manager", "updated_home.png"), slide_01_text),
@@ -49,7 +51,8 @@ def open_help_carousel(self, *args):
             (os.path.join("es_gui", "resources", "help_views", "data_manager", "04.png"), slide_04_text),
             (os.path.join("es_gui", "resources", "help_views", "data_manager", "05.png"), slide_05_text),
             (os.path.join("es_gui", "resources", "help_views", "data_manager", "weather.png"), slide_06_text),
-            (os.path.join("es_gui", "resources", "help_views", "data_manager", "eplus_converter.png"), slide_07_text)
+            (os.path.join("es_gui", "resources", "help_views", "data_manager", "eplus_converter.png"), slide_07_text),
+            (os.path.join("es_gui", "resources", "help_views", "data_manager", "powerplant.png"), slide_08_text)
         ]
 
         help_carousel_view.add_slides(slides)
diff --git a/es_gui/apps/data_manager/power.kv b/es_gui/apps/data_manager/power.kv
new file mode 100644
index 00000000..b312e88f
--- /dev/null
+++ b/es_gui/apps/data_manager/power.kv
@@ -0,0 +1,108 @@
+<PowerPlantSearchScreen>:
+    api_key_input: api_key_input
+    param_widget: param_widget
+    save_name_field: save_name_field
+    save_button: save_button
+    facilities_button: facilities_button
+    ppnc_button: ppnc_button
+    explainer_text: explainer_text
+    
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 20
+
+        DataManagerTitle:
+            size_hint_y: 0.05
+            text: 'Search for Powerplant Dispatch and Polution Data.'
+        
+        BoxLayout:
+            orientation: 'vertical'
+            spacing: 10
+            padding: (100, 0)
+            size_hint_y: 0.05
+
+            BoxLayout:
+                orientation: 'horizontal'
+                spacing: 10
+
+                DataManagerBodyText:
+                    text: 'Data.gov API key [font=Modern Pictograms][color=00ADD0][ref=keyHelp]?[/ref][/color][/font]'
+                    markup: True
+                    on_ref_press: root.open_api_key_help()
+                    size_hint_x: 0.4
+
+                TextInput:
+                    id: api_key_input
+                    multiline: False
+                    #password: True
+                    write_tab: False
+                    hint_text: 'API key'
+                    text: app.App.get_running_app().config.get('datamanager-openei', 'openei_key')
+                    size_hint_x: 0.7
+                
+                TileButton:
+                    id: facilities_button
+                    background_color: C(hex_primary)
+                    size_hint_x: 0.6
+                    text: 'Update Facilities List'
+                    on_release: root.execute_facilities_query()     
+
+                TileButton:
+                    id: ppnc_button
+                    background_color: C(hex_primary)
+                    size_hint_x: 0.6
+                    text: 'Update PPNC Spreadsheet'
+                    on_release: root.execute_PPNC_query()  
+        
+        BoxLayout:
+            orientation: 'vertical'
+            size_hint_y: 0.95
+            padding: (100, 20)
+            spacing: 10
+            
+            PowerPlantSearchParameterWidget:
+                id: param_widget
+                size_hint_y: 0.10
+                padding: (100, 0)
+
+            BoxLayout:
+                orientation: 'horizontal'
+                size_hint_y: 0.7
+                spacing: 10
+                padding: 10
+            
+                BodyTextBase:
+                    id: explainer_text
+                    markup: True    
+                    text: ''   
+                    text: 'This program retrieves data from: \n 1) the EPA EPA Field Audit Checklist Tool (FACT), \n 2) NREL PVWatts, and \n 3) The EPA Power Plant and Neighboring Communities (PPNC) spreadsheet \n It then uses the power plant pollution data to estimate county-level health impacts through the EPA CO-Benefits Risk Assessment (COBRA) tool. Last, it multiplies the health impacts by the demography from Justice40 in each county to determine the distributional equitably. '
+                    size_hint_y: 0.6
+                                  
+                Image:
+                    source: 'es_gui/resources/logo/COBRA.png'
+        
+            BoxLayout:
+                orientation: 'horizontal'
+                spacing: 10
+                size_hint_y: 0.075
+
+                PowerPlantSaveNameTextInput:
+                    id: save_name_field
+                    multiline: False
+                    size_hint_x: 0.8
+                    write_tab: False
+                    hint_text: 'Enter a name for this power plant'
+                
+                TileButton:
+                    id: save_button
+                    background_color: C(hex_primary)
+                    size_hint_x: 0.2
+                    text: 'Save'
+                    on_release: root.execute_query()
+
+<PowerPlantSearchParameterWidget>:
+    cols: 1
+    row_force_default: True
+    row_default_height: 40
+    spacing: (75, 50)
diff --git a/es_gui/apps/data_manager/power.py b/es_gui/apps/data_manager/power.py
new file mode 100644
index 00000000..3b4512ac
--- /dev/null
+++ b/es_gui/apps/data_manager/power.py
@@ -0,0 +1,860 @@
+from __future__ import absolute_import
+from es_gui.apps.data_manager.utils import check_connection_settings
+from es_gui.proving_grounds.charts import RateScheduleChart
+from es_gui.apps.data_manager.data_manager import DataManagerException, DATA_HOME
+from es_gui.resources.widgets.common import InputError, WarningPopup, ConnectionErrorPopup, MyPopup, RecycleViewRow, FADEIN_DUR, LoadingModalView, PALETTE, rgba_to_fraction, fade_in_animation, DataGovAPIhelp, ParameterRow
+
+import os
+import io
+import calendar
+import datetime
+import logging
+import datetime as dt
+import webbrowser
+import json
+import csv
+from codecs import iterdecode
+from collections import defaultdict
+from openpyxl import load_workbook
+
+import requests
+import pandas as pd
+import numpy as np
+from kivy.animation import Animation
+from kivy.app import App
+from kivy.clock import Clock, mainthread
+from kivy.uix.screenmanager import ScreenManager, Screen, SlideTransition
+from kivy.uix.modalview import ModalView
+from kivy.uix.textinput import TextInput
+from kivy.uix.popup import Popup
+from kivy.uix.boxlayout import BoxLayout
+from kivy.uix.gridlayout import GridLayout
+from kivy.properties import ObjectProperty, NumericProperty, BooleanProperty, StringProperty, DictProperty
+
+from kivy.lang import Builder
+
+import urllib3
+urllib3.disable_warnings(
+    requests.packages.urllib3.exceptions.InsecureRequestWarning)
+
+
+MAX_WHILE_ATTEMPTS = 7
+
+URL_FACT = "https://api.epa.gov/FACT/1.0/emissions/hourlyData/csv/"
+URL_FACT_Facilities = "https://api.epa.gov/FACT/1.0/facilities?api_key="
+
+URL_PVWATTS = "https://developer.nrel.gov/api/pvwatts/v6.json?"
+
+PPNC_URL = 'https://www.epa.gov/sites/default/files/2021-05/power_plants_and_communities.xlsx'
+
+STATIC_HOME = 'es_gui/apps/data_manager/_static'
+
+
+class PowerPlantSearchScreen(Screen):
+    """DataManager screen for searching for Power Plant Dispatch and pollution Data through FACT."""
+
+    api_key = StringProperty('')
+
+    def __init__(self, **kwargs):
+        super(PowerPlantSearchScreen, self).__init__(**kwargs)
+
+        PowerPlantSaveNameTextInput.host_screen = self
+
+    def on_pre_enter(self):
+        if not self.param_widget.children:
+            self.param_widget.build()
+
+    def on_enter(self):
+
+        def _ref_link(text, ref):
+            return '[ref={0}][color=003359][u]{1}[/u][/color][/ref]'.format(ref, text)
+
+        def _go_to_webpage(instance, value):
+            if value == 'fact-api':
+                webbrowser.open(
+                    'https://www.epa.gov/airmarkets/field-audit-checklist-tool-fact')
+            elif value == 'pv-watts':
+                webbrowser.open('https://pvwatts.nrel.gov/')
+            elif value == 'ppnc-spreadsheet':
+                webbrowser.open(
+                    'https://www.epa.gov/airmarkets/power-plants-and-neighboring-communities')
+            elif value == 'cobra-api':
+                webbrowser.open('https://www.epa.gov/cobra')
+            elif value == 'justice40':
+                webbrowser.open('https://screeningtool.geoplatform.gov/en/#3/33.47/-97.5')
+
+        ab = self.manager.nav_bar
+        ab.set_title('Data Manager: Power Plant Dispatch and Pollution  Data')
+        text1 = 'This program retrieves data from: \n 1) the EPA EPA Field Audit Checklist Tool ({FACT}), \n '.format(
+            FACT=_ref_link('FACT', 'fact-api'))
+        text2 = '2) NREL\'s {PVWatts}, and \n 3) The EPA Power Plant and Neighboring Communities ({PPNC}) spreadsheet \n'.format(
+            PVWatts=_ref_link('PVWatts', 'pv-watts'), PPNC=_ref_link('PPNC', 'ppnc-spreadsheet'))
+        text3 = 'It then uses the power plant pollution data to estimate county-level health impacts through the EPA CO-Benefits Risk Assessment ({COBRA}) tool.'.format(
+            COBRA=_ref_link('COBRA', 'cobra-api'))
+        text4 = 'Last, it multiplies the health impacts by the demography from the {Justice40} in each county to determine the distributional equitably.'.format(
+            Justice40=_ref_link('Climate and Economic Justice Screening Tool', 'justice40'))
+        self.explainer_text.text = text1 + text2 + text3 + text4
+
+        self.explainer_text.bind(on_ref_press=_go_to_webpage)
+
+    def open_api_key_help(self):
+        """Opens the API key help ModalView."""
+        open_ei_help_view = DataGovAPIhelp()
+        open_ei_help_view.open()
+
+    def reset_screen(self):
+        """Resets the screen to its initial state."""
+        pass
+
+    def _validate_inputs(self):
+        """Validates the search parameters."""
+        # Check if an API key has been provided.
+        api_key = self.api_key_input.text
+        # oris locationid year quarter
+        if not api_key:
+            raise (InputError('Please enter an API key.'))
+
+        power_plant_params = self.param_widget.get_inputs()
+
+        return api_key, power_plant_params
+
+    def get_inputs(self):
+        """Retrieves the search inputs and validates them."""
+        api_key, power_plant_params = self._validate_inputs()
+
+        # Fixed values.
+        power_plant_params['api_key'] = api_key
+        #power_plant_params['location_id'] = '1'
+        #power_plant_params['quarter'] = '1'
+
+        return api_key, power_plant_params
+
+    def execute_facilities_query(self):
+        """Executes the FACT query using the given parameters."""
+        try:
+            api_key, power_plant_params = self.get_inputs()
+            self.api_key = api_key
+        except ValueError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            # Reset screen.
+            self.reset_screen()
+            self.facilities_button.disabled = True
+
+            try:
+                self._facilities_query_api()
+            except requests.ConnectionError:
+                popup = ConnectionErrorPopup()
+                popup.popup_text.text = 'There was an issue connecting to the API. Check your connection settings and try again.'
+                popup.open()
+
+    def _facilities_query_api(self):
+        """Uses FACT API to query for a PV profile."""
+        ssl_verify, proxy_settings = check_connection_settings()
+
+        # Form query.
+        api_query = URL_FACT_Facilities + self.api_key
+
+        try:
+            with requests.Session() as req:
+                http_request = req.get(api_query,
+                                       proxies=proxy_settings,
+                                       timeout=10,
+                                       verify=ssl_verify,
+                                       stream=True)
+                if http_request.status_code != requests.codes.ok:
+                    http_request.raise_for_status()
+        except requests.HTTPError as e:
+            logging.error('PowerPlantDM: {0}'.format(repr(e)))
+            raise requests.ConnectionError
+        except requests.exceptions.ProxyError:
+            logging.error('PowerPlantDM: Could not connect to proxy.')
+            raise requests.ConnectionError
+        except requests.ConnectionError as e:
+            logging.error(
+                'PowerPlantDM: Failed to establish a connection to the host server.')
+            raise requests.ConnectionError
+        except requests.Timeout as e:
+            logging.error('PowerPlantDM: The connection timed out.')
+            raise requests.ConnectionError
+        except requests.RequestException as e:
+            logging.error('PowerPlantDM: {0}'.format(repr(e)))
+            raise requests.ConnectionError
+        except Exception as e:
+            # Something else went wrong.
+            logging.error(
+                'PowerPlantDM: An unexpected error has occurred. ({0})'.format(repr(e)))
+            raise requests.ConnectionError
+        else:
+            request_content = http_request.json()
+
+            outname = 'facilities'
+            # Strip non-alphanumeric chars from given name for filename.
+            delchars = ''.join(c for c in map(
+                chr, range(256)) if not c.isalnum())
+            outname = outname.translate({ord(i): None for i in delchars})
+
+            # Save facilities list
+            destination_file = os.path.join(STATIC_HOME, outname + '.json')
+
+            with open(destination_file, 'w') as outfile:
+                json.dump(request_content, outfile)
+
+                logging.info(
+                    'PowerPlantDM: Facilities list successfully saved.')
+
+                popup = WarningPopup()
+                popup.title = 'Success!'
+                popup.popup_text.text = 'Facilities list successfully saved.'
+                popup.open()
+        finally:
+            self.facilities_button.disabled = False
+
+    def execute_PPNC_query(self):
+        """Executes a download of the Power Plants and Neighboring Communities spreadsheet."""
+        try:
+            api_key, power_plant_params = self.get_inputs()
+            self.api_key = api_key
+        except ValueError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            # Reset screen.
+            self.reset_screen()
+            self.ppnc_button.disabled = True
+
+            try:
+                self._PPNC_query_api()
+            except requests.ConnectionError:
+                popup = ConnectionErrorPopup()
+                popup.popup_text.text = 'There was an issue connecting to the API. Check your connection settings and try again.'
+                popup.open()
+
+    def _PPNC_query_api(self):
+        """Download of the Power Plants and Neighboring Communities spreadsheet."""
+        ssl_verify, proxy_settings = check_connection_settings()
+
+        try:
+            with requests.Session() as req:
+                http_request_ppc = req.get(PPNC_URL,
+                                           proxies=proxy_settings,
+                                           timeout=10,
+                                           verify=ssl_verify,
+                                           stream=True)
+                if http_request_ppc.status_code != requests.codes.ok:
+                    http_request_ppc.raise_for_status()
+        except requests.HTTPError as e:
+            logging.error('PowerPlantDM: {0}'.format(repr(e)))
+            raise requests.ConnectionError
+        except requests.exceptions.ProxyError:
+            logging.error('PowerPlantDM: Could not connect to proxy.')
+            raise requests.ConnectionError
+        except requests.ConnectionError as e:
+            logging.error(
+                'PowerPlantDM: Failed to establish a connection to the host server.')
+            raise requests.ConnectionError
+        except requests.Timeout as e:
+            logging.error('PowerPlantDM: The connection timed out.')
+            raise requests.ConnectionError
+        except requests.RequestException as e:
+            logging.error('PowerPlantDM: {0}'.format(repr(e)))
+            raise requests.ConnectionError
+        except Exception as e:
+            # Something else went wrong.
+            logging.error(
+                'PowerPlantDM: An unexpected error has occurred. ({0})'.format(repr(e)))
+            raise requests.ConnectionError
+        else:
+            # Save power_plants_and_communities.xlsx
+            destination_file_ppc = os.path.join(
+                STATIC_HOME, 'power_plants_and_communities.xlsx')
+            with open(destination_file_ppc, 'wb') as outfile:
+                outfile.write(http_request_ppc.content)
+
+                logging.info(
+                    'PowerPlantDM: Power Plants and Neighboring Communities spreadsheet successfully saved.')
+
+                popup = WarningPopup()
+                popup.title = 'Success!'
+                popup.popup_text.text = 'Power Plants and Neighboring Communities spreadsheet successfully saved.'
+                popup.open()
+        finally:
+            self.ppnc_button.disabled = False
+
+    def execute_query(self):
+        """Executes the FACT query using the given parameters."""
+        try:
+            api_key, power_plant_params = self.get_inputs()
+            self.api_key = api_key
+        except ValueError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            # Reset screen.
+            self.reset_screen()
+            self.save_button.disabled = True
+
+            try:
+                request_content = self._query_api(power_plant_params)
+            except requests.ConnectionError:
+                popup = ConnectionErrorPopup()
+                popup.popup_text.text = 'There was an issue connecting to the API. Check your connection settings and try again.'
+                popup.open()
+
+    def _query_api(self, power_plant_params):
+        """Uses FACT API to query for a normalized PV profile and powerplant data."""
+        ssl_verify, proxy_settings = check_connection_settings()
+
+        http_request = defaultdict(lambda: defaultdict(dict))
+
+        if not self.save_name_field.text:
+            popup = WarningPopup()
+            popup.popup_text.text = 'Please specify a name to save the power plant as.'
+            popup.open()
+            return
+        else:
+            outname = self.save_name_field.text
+
+        # pull the site location from the facilities data file
+        facilities_file = os.path.join(STATIC_HOME, 'facilities.json')
+        unit_list = []
+        with open(facilities_file, 'r') as f:
+            facilities_data = json.load(f)
+        for faci in facilities_data['data']:
+            if faci['orisCode'] == int(power_plant_params['Plant_id']):
+                name = faci['name']
+                latitude = faci['geographicLocation']['latitude']
+                longitude = faci['geographicLocation']['longitude']
+                nameplateCapacity = 0
+                if power_plant_params['location_id'] == '0':
+                    for unit in faci['units']:
+                        unit_list.append(unit['unitId'])
+
+        # Set up an api queary to get PV Watts solar data from the same location as the facility
+        pv_api_query = URL_PVWATTS
+        query_segs = []
+        pv_params = ([('azimuth', 180),
+                      ('losses', 14),
+                      ('system_capacity', 1000),
+                      ('lon', longitude),
+                      ('lat', latitude),
+                      ('module_type', 0),
+                      ('array_type', 0),
+                      ('dataset', 'tmy3'),
+                      ('radius', 0),
+                      ('timeframe', 'hourly'),
+                      ('api_key', self.api_key),
+                      ('tilt', latitude)])
+
+        for k, v in pv_params:
+            query_segs.append('{key}={value}'.format(key=k, value=v))
+
+        pv_api_query += '&'.join(query_segs)
+
+        try:
+            with requests.Session() as req:
+                logging.info(
+                    'PowerPlantDM: sending api request for power plant data')
+                for quarter in range(4):
+                    if power_plant_params['location_id'] == '0':
+                        for unit in unit_list:
+                            # Form query.
+                            api_query = URL_FACT + (power_plant_params['Plant_id'] + '/' +
+                                                    unit + '/' +
+                                                    power_plant_params['year'] + '/' +
+                                                    str(quarter+1) +
+                                                    '?api_key=' + self.api_key)
+                            # print(api_query)
+                            http_request[unit][quarter] = req.get(api_query,
+                                                                  proxies=proxy_settings,
+                                                                  timeout=10,
+                                                                  verify=ssl_verify,
+                                                                  stream=True)
+
+                            if http_request[unit][quarter].status_code != requests.codes.ok:
+                                http_request[unit][quarter].raise_for_status()
+                                break
+
+                    else:
+                        api_query = URL_FACT + (power_plant_params['Plant_id'] + '/' +
+                                                power_plant_params['location_id'] + '/' +
+                                                power_plant_params['year'] + '/' +
+                                                str(quarter+1) +
+                                                '?api_key=' + self.api_key)
+                        # print(api_query)
+                        http_request[quarter] = req.get(api_query,
+                                                        proxies=proxy_settings,
+                                                        timeout=10,
+                                                        verify=ssl_verify,
+                                                        stream=True)
+
+                        if http_request[quarter].status_code != requests.codes.ok:
+                            http_request[quarter].raise_for_status()
+                            break
+
+                logging.info(
+                    'PowerPlantDM: sending api request for pv data at power plant site')
+                http_request_pv = req.get(pv_api_query,
+                                          proxies=proxy_settings,
+                                          timeout=10,
+                                          verify=ssl_verify,
+                                          stream=True)
+                if http_request_pv.status_code != requests.codes.ok:
+                    http_request_pv.raise_for_status()
+        except requests.HTTPError as e:
+            logging.error('PowerPlantDM: {0}'.format(repr(e)))
+            raise requests.ConnectionError
+        except requests.exceptions.ProxyError:
+            logging.error('PowerPlantDM: Could not connect to proxy.')
+            raise requests.ConnectionError
+        except requests.ConnectionError as e:
+            logging.error(
+                'PowerPlantDM: Failed to establish a connection to the host server.')
+            raise requests.ConnectionError
+        except requests.Timeout as e:
+            logging.error('PowerPlantDM: The connection timed out.')
+            raise requests.ConnectionError
+        except requests.RequestException as e:
+            logging.error('PowerPlantDM: {0}'.format(repr(e)))
+            raise requests.ConnectionError
+        except Exception as e:
+            # Something else went wrong.
+            logging.error(
+                'PowerPlantDM: An unexpected error has occurred. ({0})'.format(repr(e)))
+            raise requests.ConnectionError
+        else:
+            request_content = dict()
+            request_content['Name'] = name
+            request_content['Oris_id'] = int(power_plant_params['Plant_id'])
+            request_content['lat'] = latitude
+            request_content['lon'] = longitude
+            request_content['year'] = int(power_plant_params['year'])
+
+            # cross referance with power plant comunities spreadsheet for pollution  numbers
+            logging.info(
+                'PowerPlantDM: loading large power plant comunities spreadsheet')
+            ppc_data_file = os.path.join(
+                STATIC_HOME, 'power_plants_and_communities.xlsx')
+            workbook = load_workbook(filename=ppc_data_file)
+            Plants_spreadsheet = workbook.active
+            # column 6 is the DOE/EIA ORIS plant or facility code
+            i = 1
+            row_number = 0
+            for value in Plants_spreadsheet.iter_rows(min_col=6, max_col=6, values_only=True):
+                if value[0] == request_content['Oris_id']:
+                    row_number = i
+                    break
+                i += 1
+
+            if row_number == 0:
+                logging.info(
+                    'PowerPlantDM: Error: could not find Oris_id in power plant comunities spreadsheet')
+            else:
+                # Plant nameplate capacity (MW) 29
+                request_content['NameplateCapacity'] = float(
+                    Plants_spreadsheet.cell(row=row_number, column=29).value)
+                # Plant FIPS state code 18
+                request_content['Plant_FIPS_state_code'] = Plants_spreadsheet.cell(
+                    row=row_number, column=18).value
+                # Plant FIPS county code 19
+                request_content['Plant_FIPS_county_code'] = Plants_spreadsheet.cell(
+                    row=row_number, column=19).value
+                # Plant capacity factor 28
+                request_content['CapacityFactor'] = float(
+                    Plants_spreadsheet.cell(row=row_number, column=28).value)
+                # Plant primary coal/oil/gas/ other fossil fuel category 26
+                request_content['FuelCategory'] = Plants_spreadsheet.cell(
+                    row=row_number, column=26).value
+
+                # Plant state
+                request_content['State'] = Plants_spreadsheet.cell(
+                    row=row_number, column=4).value
+                # Plant county 
+                request_content['County'] = Plants_spreadsheet.cell(
+                    row=row_number, column=20).value
+
+                # Total population within 3 miles (ACS2018) 150
+                request_content['population'] = int(
+                    Plants_spreadsheet.cell(row=row_number, column=150).value)
+                # PM 2.5 Emssions (tons)            318
+                request_content['PPNC_PM25_emissions'] = float(
+                    Plants_spreadsheet.cell(row=row_number, column=318).value)
+                # Plant annual NOx emissions (tons) 43
+                request_content['PPNC_NOx_emissions'] = float(
+                    Plants_spreadsheet.cell(row=row_number, column=43).value)
+                # Plant annual SO2 emissions (tons) 45
+                request_content['PPNC_SO2_emissions'] = float(
+                    Plants_spreadsheet.cell(row=row_number, column=45).value)
+                # Plant annual CO2 emissions (tons) 46
+                request_content['PPNC_CO2_emissions'] = float(
+                    Plants_spreadsheet.cell(row=row_number, column=46).value)
+                # Plant annual net generation (MWh) 41
+                request_content['PPNC_net_generation'] = float(
+                    Plants_spreadsheet.cell(row=row_number, column=41).value)
+
+                request_content['PM25_emissions_rate'] = request_content['PPNC_PM25_emissions'] / \
+                    request_content['PPNC_net_generation']
+                request_content['NOx_emissions_rate'] = request_content['PPNC_NOx_emissions'] / \
+                    request_content['PPNC_net_generation']
+                request_content['SO2_emissions_rate'] = request_content['PPNC_SO2_emissions'] / \
+                    request_content['PPNC_net_generation']
+                request_content['CO2_emissions_rate'] = request_content['PPNC_CO2_emissions'] / \
+                    request_content['PPNC_net_generation']
+
+            # log plant dispatch and pv resource avalibuility into request_content directory
+            request_content_pv = http_request_pv.json()
+            pv_profile = request_content_pv['outputs']['ac']
+            # note system_capacity is in kW whereas the output ac is in watts
+            # PV profile is normalized to the range [0,1]
+            pv_profile = [pv_profile[i]/(float(request_content_pv['inputs']
+                                         ['system_capacity'])*1000) for i in range(len(pv_profile))]
+            request_content['plant_dispatch'] = []
+            request_content['pv'] = pv_profile
+            bace_length = 0
+            if power_plant_params['location_id'] == '0':
+                for quarter in range(4):
+                    i = 0
+                    for unit in unit_list:
+                        http_request_content = http_request[unit][quarter].content.decode(
+                            'utf-8')
+                        cr = csv.reader(
+                            http_request_content.splitlines(), delimiter=',')
+
+                        data_list = list(cr)
+                        j = 0
+                        for row in data_list:
+                            if i == 0:  # for the first unit in the list add a new element to each list
+                                if j >= 1:  # skip the row of data lables
+                                    if row[2].isnumeric():
+                                        #print(row[2] + str(row[2].isnumeric()))
+                                        power = float(row[2])
+                                        #print('power : ' + str(power))
+                                        request_content['plant_dispatch'].append(
+                                            power)
+                                    else:
+                                        request_content['plant_dispatch'].append(
+                                            0.0)
+                            else:  # after that add each unit's plant_dispatch onto the total for the facility
+                                if j >= 1:  # skip the row of data lables
+                                    if row[2].isnumeric():
+                                        power = float(row[2])
+                                        #print('power : ' + str(power))
+                                        request_content['plant_dispatch'][bace_length+j -
+                                                                          1] = request_content['plant_dispatch'][bace_length+j-1] + power
+                            j += 1
+                        i += 1
+                    bace_length = len(request_content['plant_dispatch'])
+            else:
+                for quarter in range(4):
+                    http_request_content = http_request[quarter].content.decode(
+                        'utf-8')
+                    cr = csv.reader(
+                        http_request_content.splitlines(), delimiter=',')
+
+                    data_list = list(cr)
+                    j = 0
+                    for row in data_list:
+                        if j >= 1:  # skip the row of data lables
+                            try:
+                                request_content['plant_dispatch'].append(
+                                    float(row[2]))
+                            except:
+                                request_content['plant_dispatch'].append(0.0)
+                        j += 1
+            request_content['plant_total_MWh'] = sum(
+                request_content['plant_dispatch'])
+
+            request_content['PM25_emissions'] = request_content['PM25_emissions_rate'] * \
+                request_content['plant_total_MWh']
+            request_content['NOx_emissions'] = request_content['NOx_emissions_rate'] * \
+                request_content['plant_total_MWh']
+            request_content['SO2_emissions'] = request_content['SO2_emissions_rate'] * \
+                request_content['plant_total_MWh']
+            request_content['CO2_emissions'] = request_content['CO2_emissions_rate'] * \
+                request_content['plant_total_MWh']
+
+            # Queary the COBRA API to calculate health impacts and values in each county
+            logging.info(
+                'PowerPlantDM: sending api request for EPA COBRA tool')
+            api_query_token = "https://cobraapi.app.cloud.gov/api/token"
+            api_query_SummarizedControlEmissions = 'https://cobraapi.app.cloud.gov/api/SummarizedControlEmissions?'
+            api_post_EmissionsUpdate = 'https://cobraapi.app.cloud.gov/api/EmissionsUpdate'
+            api_get_Result = 'https://cobraapi.app.cloud.gov/api/Result/'
+
+            fipscodes = request_content['Plant_FIPS_state_code'] + \
+                request_content['Plant_FIPS_county_code']
+            # tier 1 applys to power plants due to the elivation and despersion of emmision
+            # tier 1 emissions are commmonly much less than calculated powerplant emissions. 
+            # The analysis performs the polution value calculation in reverse adding polution to the system and multiplying the value result by -1
+            tiers = "1"
+            finished_collecting_baseline = False
+            
+            try:
+                with requests.Session() as req:
+                    # request a simulation token
+                    http_request_token = req.get(api_query_token,
+                                                proxies=proxy_settings,
+                                                timeout=30,
+                                                verify=ssl_verify,
+                                                stream=True)
+                    request_content_token = http_request_token.json()
+                    token = request_content_token['value']
+
+                    # get the baseline emisions for the state / county where the power plant is located
+                    api_query_SummarizedControlEmissions_send = api_query_SummarizedControlEmissions + \
+                        'token=' + token + '&fipscodes=' + fipscodes + '&tiers=' + tiers
+
+                    http_request_BE = req.get(api_query_SummarizedControlEmissions_send,
+                                            proxies=proxy_settings,
+                                            timeout=10,
+                                            verify=ssl_verify,
+                                            stream=True)
+
+                    request_content_json = http_request_BE.json()
+
+                    if not request_content_json == {'baseline': [], 'control': []}:
+                        baseline = request_content_json['baseline'][0]
+                        payload = request_content_json['baseline'][0]
+
+                        # increase the baseline by the calculated powerplant polution
+                        print('tier : ' + tiers)
+                        print('Baseline NOX  : ' + str(baseline['NO2']))
+                        print('Baseline SO2  : ' + str(baseline['SO2']))
+                        print('Baseline PM25 : ' + str(baseline['PM25']))
+                        print('Peaker NOX  : ' +
+                            str(request_content['NOx_emissions']))
+                        print('Peaker SO2  : ' +
+                            str(request_content['SO2_emissions']))
+                        print('Peaker PM25 : ' +
+                            str(request_content['PM25_emissions']))
+
+                        payload['NO2'] = max(
+                            [0, baseline['NO2'] + request_content['NOx_emissions']])
+                        payload['SO2'] = max(
+                            [0, baseline['SO2'] + request_content['SO2_emissions']])
+                        payload['PM25'] = max(
+                            [0, baseline['PM25'] + request_content['PM25_emissions']])
+
+                        print('Final NOX  : ' + str(payload['NO2']))
+                        print('Final SO2  : ' + str(payload['SO2']))
+                        print('Final PM25 : ' + str(payload['PM25']))
+
+                        request_body = {
+                            "spec": {
+                                "fipscodes": [
+                                    fipscodes,
+                                ],
+                                "tiers": tiers,
+                                "token": token
+                            },
+                            "payload": payload
+                        }
+
+                        http_request_post_EmissionsUpdate = req.post(api_post_EmissionsUpdate,
+                                                                    json=request_body,
+                                                                    proxies=proxy_settings,
+                                                                    timeout=30,
+                                                                    verify=ssl_verify,
+                                                                    stream=True)
+
+                        api_get_Result = api_get_Result + token + '/00'
+                        http_request_post_Result = req.get(api_get_Result,
+                                                        proxies=proxy_settings,
+                                                        timeout=30,
+                                                        verify=ssl_verify,
+                                                        stream=True)
+
+                        request_content['COBRA_results'] = http_request_post_Result.json()
+
+                # Determin how much of the health impacts of the peaker
+                # pollution  is accrued by 1) disadvantage communities and 2) by
+                # people with low income (<200% poverty)
+                logging.info(
+                    'PowerPlantDM: loading justice40 community data to calculate pollution impact equity')
+                disadvantaged_population_file = os.path.join(
+                    STATIC_HOME, 'disadvantaged_pop_by_county_2010.csv')
+                pop = {}
+                dis = {}
+                low = {}
+                total_pop = 0
+                total_dis = 0
+                total_low = 0
+                header = True
+                with open(disadvantaged_population_file, newline='') as csvfile:
+                    csv_file = csv.reader(csvfile, delimiter=',')
+                    for row in csv_file:
+                        if not header:
+                            ID = row[0]
+                            pop[ID] = float(row[1])
+                            dis[ID] = float(row[2])
+                            low[ID] = float(row[3])
+                            total_pop = total_pop + pop[ID]
+                            total_dis = total_dis + pop[ID]*dis[ID]
+                            total_low = total_low + pop[ID]*low[ID]
+                        header = False
+
+                logging.info('PowerPlantDM: calculating pollution impact equity')
+                l_value_to_dis_per_county = []
+                h_value_to_dis_per_county = []
+                l_value_to_low_per_county = []
+                h_value_to_low_per_county = []
+
+                l_total_value = -request_content['COBRA_results']['Summary']['TotalHealthBenefitsValue_low']
+                h_total_value = -request_content['COBRA_results']['Summary']['TotalHealthBenefitsValue_high']
+
+                ben_frac = {}
+                max_frac = 0
+                for impact in request_content['COBRA_results']['Impacts']:
+                    FIPS = impact['FIPS']
+                    # Shannon County, SD (FIPS code = 46113) was renamed Oglala Lakota County and assigned anew FIPS code (46102) effective in 2014.
+                    if FIPS == '46102':
+                        FIPS = '46113'
+                    LV = -impact['C__Total_Health_Benefits_Low_Value']
+                    HV = -impact['C__Total_Health_Benefits_High_Value']
+                    ben_frac[FIPS] = HV/h_total_value
+                    if ben_frac[FIPS] > max_frac:
+                        max_frac = ben_frac[FIPS]
+                    l_value_to_dis_per_county.append(dis[FIPS]*LV)
+                    h_value_to_dis_per_county.append(dis[FIPS]*HV)
+                    l_value_to_low_per_county.append(low[FIPS]*LV)
+                    h_value_to_low_per_county.append(low[FIPS]*HV)
+
+                #print('low estemate of total health benfits  : $' + str(l_total_value))
+                #print('high estemate of total health benfits : $' + str(h_total_value))
+                #print('% of total population in disadvantaged comunities :' + str(total_dis/total_pop))
+                #print('% of total health benfits to disadvantaged comunities :' + str(sum(h_value_to_dis_per_county)/h_total_value))
+                #print('% of total population that is low income (<200% of poverty):' + str(total_low/total_pop))
+                #print('% of total health benfits to low income (<200% of poverty):' + str(sum(h_value_to_low_per_county)/h_total_value))
+                request_content['health_impact_equity'] = {}
+                request_content['health_impact_equity']['total_population'] = total_pop
+                request_content['health_impact_equity']['total_disadvantaged_population'] = total_dis
+                request_content['health_impact_equity']['total_low_income_population'] = total_low
+                request_content['health_impact_equity']['disadvantaged_population_fraction'] = total_dis/total_pop
+                request_content['health_impact_equity']['low_income_population_fraction'] = total_low/total_pop
+                request_content['health_impact_equity']['total_impact_on_disadvantaged_population_low'] = sum(
+                    l_value_to_dis_per_county)
+                request_content['health_impact_equity']['total_impact_on_disadvantaged_population_high'] = sum(
+                    h_value_to_dis_per_county)
+                request_content['health_impact_equity']['total_impact_on_low_income_population_low'] = sum(
+                    l_value_to_low_per_county)
+                request_content['health_impact_equity']['total_impact_on_low_income_population_high'] = sum(
+                    h_value_to_low_per_county)
+                request_content['health_impact_equity']['impact_on_disadvantaged_population_fraction'] = sum(
+                    h_value_to_dis_per_county)/h_total_value
+                request_content['health_impact_equity']['impact_on_low_income_population_fraction'] = sum(
+                    h_value_to_low_per_county)/h_total_value
+
+            except:
+                logging.info('PowerPlantDM: An error has occurred with the COBRA API.')
+                popup = WarningPopup()
+                popup.title = 'Error : '
+                popup.popup_text.text = 'An error has occurred with the COBRA API.'
+                popup.open()
+            else:
+                # Strip non-alphanumeric chars from given name for filename.
+                delchars = ''.join(c for c in map(
+                    chr, range(256)) if not c.isalnum())
+                outname = outname.translate({ord(i): None for i in delchars})
+
+                # Save.
+                destination_dir = os.path.join(DATA_HOME, 'power_plant')
+                os.makedirs(destination_dir, exist_ok=True)
+                destination_file = os.path.join(destination_dir, outname + '.json')
+
+                logging.info(
+                    'PowerPlantDM: saving power plant data file to: ' + destination_file)
+                if not os.path.exists(destination_file):
+                    with open(destination_file, 'w') as outfile:
+                        json.dump(request_content, outfile)
+
+                    logging.info(
+                        'PowerPlantDM: power plant data successfully saved.')
+
+                    popup = WarningPopup()
+                    popup.title = 'Success!'
+                    popup.popup_text.text = 'Power plant data successfully saved.'
+                    popup.open()
+                else:
+                    # File already exists with same name.
+                    popup = WarningPopup()
+                    popup.title = 'Error : '
+                    popup.popup_text.text = 'File already exists with same name.'
+                    popup.open()
+            
+        finally:
+            self.save_button.disabled = False
+
+
+class PowerPlantSaveNameTextInput(TextInput):
+    """TextInput field for entering the save name in the Power Plant Data Manager."""
+    host_screen = None
+
+    def keyboard_on_key_down(self, window, keycode, text, modifiers):
+        key, key_str = keycode
+
+        if key_str in ('enter', 'numpadenter'):
+            self.host_screen.execute_query()
+        else:
+            super(PowerPlantSaveNameTextInput, self).keyboard_on_key_down(
+                window, keycode, text, modifiers)
+
+        return True
+
+
+class PowerPlantSearchParameterWidget(GridLayout):
+    """Grid layout containing rows of parameter adjustment widgets."""
+
+    def build(self):
+        # Build the widget by creating a row for each parameter.
+        data_manager = App.get_running_app().data_manager
+        MODEL_PARAMS = data_manager.get_power_plant_model_params()
+
+        for param in MODEL_PARAMS:
+            row = ParameterRow(desc=param)
+            self.add_widget(row)
+            setattr(self, param['attr name'], row)
+
+    def _validate_inputs(self):
+        param_set = {}
+
+        for row in self.children:
+            attr_name = row.desc['attr name']
+
+            if not row.text_input.text:
+                attr_val = row.text_input.hint_text
+            else:
+                attr_val = row.text_input.text
+
+            if attr_val:
+                param_set[attr_name] = attr_val
+            else:
+                # Skip if values is None.
+                continue
+
+        return param_set
+
+    def get_inputs(self):
+        try:
+            params = self._validate_inputs()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            return params

From 01c24ab9e988670009fc7fdffafe5b271c97ecde Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:21:15 -0600
Subject: [PATCH 09/23] Add files via upload

main files for the powerplant replacement algorithm
---
 .../equity/__pycache__/home.cpython-37.pyc    | Bin 0 -> 1282 bytes
 .../equity/__pycache__/home.cpython-38.pyc    | Bin 0 -> 4122 bytes
 .../__pycache__/op_handler.cpython-37.pyc     | Bin 0 -> 1033 bytes
 .../__pycache__/op_handler.cpython-38.pyc     | Bin 0 -> 6293 bytes
 .../__pycache__/peaker_rep.cpython-37.pyc     | Bin 0 -> 15488 bytes
 .../__pycache__/peaker_rep.cpython-38.pyc     | Bin 0 -> 16401 bytes
 .../__pycache__/reporting.cpython-38.pyc      | Bin 0 -> 29110 bytes
 .../__pycache__/results_viewer.cpython-37.pyc | Bin 0 -> 2531 bytes
 .../__pycache__/results_viewer.cpython-38.pyc | Bin 0 -> 11486 bytes
 es_gui/apps/equity/home.kv                    |  44 +
 es_gui/apps/equity/home.py                    |  76 ++
 es_gui/apps/equity/op_handler.py              | 196 ++++
 es_gui/apps/equity/peaker_rep.kv              | 498 ++++++++++
 es_gui/apps/equity/peaker_rep.py              | 447 +++++++++
 es_gui/apps/equity/reporting.kv               |  51 +
 es_gui/apps/equity/reporting.py               | 932 ++++++++++++++++++
 es_gui/apps/equity/results_viewer.py          | 379 +++++++
 17 files changed, 2623 insertions(+)
 create mode 100644 es_gui/apps/equity/__pycache__/home.cpython-37.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/home.cpython-38.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/op_handler.cpython-37.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/op_handler.cpython-38.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/peaker_rep.cpython-37.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/peaker_rep.cpython-38.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/reporting.cpython-38.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/results_viewer.cpython-37.pyc
 create mode 100644 es_gui/apps/equity/__pycache__/results_viewer.cpython-38.pyc
 create mode 100644 es_gui/apps/equity/home.kv
 create mode 100644 es_gui/apps/equity/home.py
 create mode 100644 es_gui/apps/equity/op_handler.py
 create mode 100644 es_gui/apps/equity/peaker_rep.kv
 create mode 100644 es_gui/apps/equity/peaker_rep.py
 create mode 100644 es_gui/apps/equity/reporting.kv
 create mode 100644 es_gui/apps/equity/reporting.py
 create mode 100644 es_gui/apps/equity/results_viewer.py

diff --git a/es_gui/apps/equity/__pycache__/home.cpython-37.pyc b/es_gui/apps/equity/__pycache__/home.cpython-37.pyc
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new file mode 100644
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diff --git a/es_gui/apps/equity/home.kv b/es_gui/apps/equity/home.kv
new file mode 100644
index 00000000..4e26df64
--- /dev/null
+++ b/es_gui/apps/equity/home.kv
@@ -0,0 +1,44 @@
+<EquityHomeScreen>:
+    GridLayout:
+        rows: 1
+        padding: 15, 100
+        spacing: 100
+
+        BoxLayout:
+            orientation: 'vertical'
+            spacing: 10
+
+            ValuationHomeTitle:
+                text: 'Simulation'
+                size_hint_y: 0.1
+
+            GridLayout:
+                cols: 1
+                spacing: 10
+
+                BoxLayout:
+                    orientation: 'horizontal'
+                    spacing: 10
+
+                    MenuTileButton:
+                        background_color: C(hex_primary)
+                        text: '[font=Modern Pictograms][size=80]}[/size][/font]\nPowerplant Replacement'
+                        on_release: root.manager.current = 'peaker_rep_wizard'
+
+        BoxLayout:
+            orientation: 'vertical'
+            spacing: 10
+
+            ValuationHomeTitle:
+                text: 'Analysis'
+                size_hint_y: 0.1
+
+            BoxLayout:
+                orientation: 'horizontal'
+                spacing: 10
+
+                MenuTileButton:
+                    background_color: C(hex_secondary)
+                    text: '[font=Modern Pictograms][size=80]8[/size][/font]\nResults Viewer'
+                    on_release: root.manager.current = 'equity_results_viewer'
+
diff --git a/es_gui/apps/equity/home.py b/es_gui/apps/equity/home.py
new file mode 100644
index 00000000..f0efa560
--- /dev/null
+++ b/es_gui/apps/equity/home.py
@@ -0,0 +1,76 @@
+from __future__ import absolute_import
+
+import os
+from functools import partial
+
+from kivy.uix.screenmanager import Screen
+from kivy.app import App
+
+# from es_gui.tools.valuation.valuation_dms import ValuationDMS
+from es_gui.resources.widgets.common import WarningPopup, NavigationButton
+from es_gui.tools.equity.equity_dms import EquityDMS
+from es_gui.proving_grounds.help_carousel import HelpCarouselModalView
+from .op_handler import EquityOptimizerHandler
+
+class EquityHomeScreen(Screen):
+    """
+    The home screen for doing energy storage equitt analysis.
+    """
+    def __init__(self, **kwargs):
+        super(EquityHomeScreen, self).__init__(**kwargs)
+
+        # Initialize data management system.
+        self.dms = EquityDMS(
+            #max_memory=App.get_running_app().config.getint('equity', 'equity_dms_size')*1000,
+            #save_data=bool(App.get_running_app().config.getint('equity', 'equity_dms_save')),
+            save_name='equity_dms.p',
+            home_path='data',
+            )
+        self.handler = EquityOptimizerHandler(App.get_running_app().config.get('optimization', 'solver')) 
+        self.handler.dms = self.dms
+
+    def on_enter(self):
+        ab = self.manager.nav_bar
+        ab.reset_nav_bar()
+        ab.set_title('Energy Storage Equity Applications')
+
+        help_button = NavigationButton(
+            text='help',
+            on_release=self.open_help_carousel,
+        )
+
+        ab.action_view.add_widget(help_button)
+
+    def open_help_carousel(self, *args):
+        """
+        """
+        help_carousel_view = HelpCarouselModalView()
+        help_carousel_view.title.text = "QuESt Equity"
+
+        slide_01_text = "QuESt Equity has tools for analyzing energy equity applications for energy storage including powerplant replacement"
+
+        slide_02_text = "The list of powerplants is populated with the powerplant data downloaded using the QuESt Data Manger, Powerplant Dispatch and Pollution Data tool."
+
+        slide_03_text = "Select a set of analysis parameters. The replacement fractions set how much of the powerplant's yearly energy production will be replaced with ES+PV and are plotted together. The plots can hold up to three result sets. Selecting more than three produces results that can be read in an output report or file."
+
+        slide_04_text = "Select a dispatch offset assumption. The flexible dispatch assumption is appropriate for powerplants that have a low minimum dispatch or are comprised of many smaller generators that can be turned on/off independently. The fixed dispatch assumption is appropreate for powerplants with a high minimum dispatch."
+
+        slide_05_text = "Upon completion of the wizard, you will be taken to the summary report screen. There a number of reports you can browse through that summarize different aspects of the simulation results. A brief synopsis of each component of the results including some key numbers.\n\nThe 'Generate report' button can be used to produce a document that summarizes the wizard run."
+
+        slide_06_text = "This document includes your input selections, a primer on the mathematical model used, and all of the charts from the wizard summary reports.\n\nThe resulting HTML document and images are saved to the /results/*/report directory. You can view the report in a web browser."
+
+        slide_07_text = "You can view simulation results in more detail using the Results Viewer tool. You can plot time series data and export simulation results for external processing."
+
+
+        slides = [
+            (os.path.join("es_gui", "resources", "help_views", "equity", "home.png"), slide_01_text),
+            (os.path.join("es_gui", "resources", "help_views", "equity", "select_a_powerplant.png"), slide_02_text),
+            (os.path.join("es_gui", "resources", "help_views", "equity", "analysis_param.png"), slide_03_text),
+            (os.path.join("es_gui", "resources", "help_views", "equity", "dispatch_offset.png"), slide_04_text),
+            (os.path.join("es_gui", "resources", "help_views", "equity", "results.png"), slide_05_text),
+            (os.path.join("es_gui", "resources", "help_views", "equity", "report.png"), slide_06_text),
+            (os.path.join("es_gui", "resources", "help_views", "equity", "analysis_results_viewer.png"), slide_07_text)
+        ]
+
+        help_carousel_view.add_slides(slides)
+        help_carousel_view.open()
\ No newline at end of file
diff --git a/es_gui/apps/equity/op_handler.py b/es_gui/apps/equity/op_handler.py
new file mode 100644
index 00000000..2320152b
--- /dev/null
+++ b/es_gui/apps/equity/op_handler.py
@@ -0,0 +1,196 @@
+from __future__ import absolute_import
+
+import logging
+from datetime import datetime
+import calendar
+import pyutilib
+import numpy as np
+import json
+
+from kivy.clock import mainthread
+
+from es_gui.tools.equity.equity_optimizer import EquityOptimizer, BadParameterException, IncompatibleDataException
+
+class EquityOptimizerHandler:# create a spesific function for peaker palnt replacement 
+    """A handler for creating and solving Equity Optimizer instances as requested."""
+    dms = None
+    solved_ops = []
+
+    def __init__(self, solver_name='glpk'):
+        self.solver_name = solver_name 
+    
+
+    def process_requests(self, op_handler_requests, *args):
+        """Generates and solves PeakerRepOptimizer models based on the given requests.""" 
+        dms = self.dms
+
+        plant_data_path = op_handler_requests['plant_data']
+        dispatch_model = op_handler_requests['dispatch_model']
+        
+        params = op_handler_requests['params'][0]
+
+        handler_status = set()
+        # The problem will be solved K times in order to determin the battery/pv that will replace diferent perportions of the power plant dispatch
+
+        replacement_fractions = params['replacement_fractions']
+
+        solved_requests = []
+        for rp in replacement_fractions:
+            op = EquityOptimizer(solver=self.solver_name)
+            op.path = plant_data_path['path']
+            # Get data.
+            with open(plant_data_path['path']) as f:
+                plant_dispatch_json = json.load(f)
+                plant_dispatch = plant_dispatch_json['plant_dispatch']
+                pv_profile = plant_dispatch_json['pv']
+                op.PM25_emissions = plant_dispatch_json['PM25_emissions']
+                op.NOx_emissions = plant_dispatch_json['NOx_emissions']
+                op.SO2_emissions = plant_dispatch_json['SO2_emissions']
+                op.CO2_emissions = plant_dispatch_json['CO2_emissions']
+                # COBRA data calculated by adding tier 1 emmissions so benifits are negative impacts
+                op.Pollution_Low_Value = -plant_dispatch_json['COBRA_results']['Summary']['TotalHealthBenefitsValue_low']
+                op.Pollution_High_Value = -plant_dispatch_json['COBRA_results']['Summary']['TotalHealthBenefitsValue_high']
+                op.Pollution_Low_Mortality = -plant_dispatch_json['COBRA_results']['Summary']['Mortality_All_Cause__low_']
+                op.Pollution_High_Mortality = -plant_dispatch_json['COBRA_results']['Summary']['Mortality_All_Cause__high_']
+                op.total_population = plant_dispatch_json['health_impact_equity']['total_population']
+                op.total_disadvantaged_population = plant_dispatch_json['health_impact_equity']['total_disadvantaged_population']
+                op.total_low_income_population = plant_dispatch_json['health_impact_equity']['total_low_income_population']
+                op.disadvantaged_population_fraction = plant_dispatch_json['health_impact_equity']['disadvantaged_population_fraction']
+                op.low_income_population_fraction = plant_dispatch_json['health_impact_equity']['low_income_population_fraction']
+                op.total_impact_on_disadvantaged_population_low = plant_dispatch_json['health_impact_equity']['total_impact_on_disadvantaged_population_low']
+                op.total_impact_on_disadvantaged_population_high = plant_dispatch_json['health_impact_equity']['total_impact_on_disadvantaged_population_high']
+                op.total_impact_on_low_income_population_low = plant_dispatch_json['health_impact_equity']['total_impact_on_low_income_population_low']
+                op.total_impact_on_low_income_population_high = plant_dispatch_json['health_impact_equity']['total_impact_on_low_income_population_high']
+                op.impact_on_disadvantaged_population_fraction = plant_dispatch_json['health_impact_equity']['impact_on_disadvantaged_population_fraction']
+                op.impact_on_low_income_population_fraction = plant_dispatch_json['health_impact_equity']['impact_on_low_income_population_fraction']
+
+                
+            op.params_metadata = params
+            op.plant_metadata = plant_data_path
+
+            # Populate op.
+            op.discount_rate               = float(params['discount_rate'])/100.0
+            op.cost_per_ton_of_CO2         = float(params['cost_per_ton_of_CO2'])
+            op.cost_per_MW_PV_system       = float(params['cost_per_MW_PV_system'])
+            op.fixed_cost_of_PV_system     = float(params['fixed_cost_of_PV_system'])
+            op.cost_per_MW_BESS            = float(params['cost_per_MW_BESS'])
+            op.cost_per_MWh_BESS           = float(params['cost_per_MWh_BESS'])
+            op.fixed_cost_of_the_BESS      = float(params['fixed_cost_of_the_BESS'])
+            op.energy_efficiency           = float(params['bess_round_trip_efficiency'])/100.0
+
+            op.flexible_dispatch = dispatch_model['flexible_dispatch']
+            op.fixed_dispatch = dispatch_model['fixed_dispatch']
+            
+            # if one profile is taken from a leap year and the other is not, they will have diferent lengths 
+            # this selects the shortest profile length to use
+            op.n = min(len(plant_dispatch), len(pv_profile)) 
+            op.time = range(op.n)
+            op.soe_time = range(op.n+1)
+
+            # now we sort the profile to determin the dispatch percentials
+            total_energy = sum(plant_dispatch)
+            sort_plant_dispatch = np.sort(plant_dispatch)
+            cum_sum_energy = 0
+            for i in range(op.n):
+                cum_sum_energy = cum_sum_energy + sort_plant_dispatch[i]
+                if cum_sum_energy >= total_energy*rp:
+                    energy_percentile_power = sort_plant_dispatch[i]
+                    break
+
+            filtered_plant_dispatch = [0 for i in range(op.n)]
+            for i in range(op.n):
+                if plant_dispatch[i] <= energy_percentile_power:
+                    filtered_plant_dispatch[i] = plant_dispatch[i]
+
+
+            op.plant_dispatch = [plant_dispatch[i] for i in op.time]
+            op.filtered_plant_dispatch = [filtered_plant_dispatch[i] for i in op.time]
+            op.pv_profile = pv_profile 
+
+        
+            op.replacement_fraction = rp
+            try:
+                solved_op = self._solve_model(op)
+
+            except pyutilib.common._exceptions.ApplicationError as e:
+                logging.error('Op Handler: {error}'.format(error=e))
+
+                if 'No executable found' in e.args[0]:
+                    # Could not locate solver executable
+                    handler_status.add('* The executable for the selected solver could not be found; please check your installation.')
+                else:
+                    handler_status.add('* The problem may be infeasible.')
+            except IncompatibleDataException as e:
+                # Data exception raised by BtmOptimizer
+                logging.error(e)
+                handler_status.add('* The time series data has mismatched sizes.')
+            except AssertionError as e:
+                # An optimal solution could not be found as reported by the solver
+                logging.error('Op Handler: {error}'.format(error=e))
+                handler_status.add('* An optimal solution could not be found; the problem may be infeasible.')
+            else:
+                logging.info('Op Handler: Finished calculating')
+                solved_op = self._save_to_solved_ops(solved_op,rp)
+                solved_requests.append(solved_op)        
+
+        logging.info('Op Handler: Finished processing requested jobs.')
+        return solved_requests, handler_status
+        
+
+    def _solve_model(self, op):
+        
+        op.run()
+
+        return op
+
+    @staticmethod      
+    def _save_to_solved_ops(op,rp):
+        # time_finished = datetime.now().strftime('%A, %B %d, %Y %H:%M:%S')
+        time_finished = datetime.now().strftime('%b %d, %Y %H:%M:%S')
+
+        name_components = [time_finished,]
+
+        # Check for peaker name.
+        #print(op.plant_metadata)
+        #print(op.params_metadata)
+        powerplant_name = 'Powerplant Name: {0}'.format(op.plant_metadata['name'])
+        name_components.append(powerplant_name)
+
+        replacement_fraction_name = ' | Replacement Fraction: {0}'.format(op.replacement_fraction)
+        name_components.append(replacement_fraction_name)
+
+        if op.flexible_dispatch:
+            name_components.append(' | flexible dispatch')
+        if op.fixed_dispatch:
+            name_components.append(' | fixed dispatch')
+
+        name = ' | '.join(name_components)
+
+        results_dict = {}
+
+        results_dict['name'] = name
+        results_dict['optimizer'] = op
+        results_dict['time'] = time_finished
+        results_dict['run_medidata'] = {'path': op.path, 
+                        'replacement_fraction'        : op.replacement_fraction,
+                        'energy_capacity'             : op.energy_capacity,
+                        'power_capacity'              : op.power_capacity,
+                        'pv_capacity'                 : op.pv_capacity,
+                        'discount_rate'               : op.discount_rate,
+                        'cost_per_ton_of_CO2'         : op.cost_per_ton_of_CO2 ,
+                        'cost_per_MW_PV_system'       : op.cost_per_MW_PV_system,
+                        'fixed_cost_of_PV_system'     : op.fixed_cost_of_PV_system,
+                        'cost_per_MW_BESS'            : op.cost_per_MW_BESS ,
+                        'cost_per_MWh_BESS'           : op.cost_per_MWh_BESS,
+                        'fixed_cost_of_the_BESS'      : op.fixed_cost_of_the_BESS }
+
+        EquityOptimizerHandler.solved_ops.append(results_dict)
+
+        return (name, op)
+    
+    def get_solved_ops(self):
+        """Returns the list of solved Optimizer objects in reverse chronological order."""
+        return_list = reversed(self.solved_ops)
+
+        return return_list
+    
diff --git a/es_gui/apps/equity/peaker_rep.kv b/es_gui/apps/equity/peaker_rep.kv
new file mode 100644
index 00000000..28aa2eb0
--- /dev/null
+++ b/es_gui/apps/equity/peaker_rep.kv
@@ -0,0 +1,498 @@
+<PeakerRepWizard>:
+    content: content
+    sm: sm
+
+    BoxLayout:
+        orientation: 'vertical'
+        id: content
+
+        PeakerRepWizardScreenManager:
+            id: sm
+
+<PeakerRepWizardStart>:
+    content: content
+
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 5
+
+        WizardHeaderDesc:
+            text: 'Welcome to the es+pv powerplant repalcement wizard!'
+
+        BoxLayout:
+            orientation: 'vertical'
+            size_hint_y: 0.8
+            id: content
+            padding: (WIZ_PADDING_X, 0)
+            spacing: 10
+
+            WizardBodyText:
+                size_hint_y: 0.1
+                text: 'This wizard will guide you through the process of determining the size and power of energy storage and PV needed to replace the operation of a given peaker plant. The program then calculates how the reduction in pollution would concretely benefit the health of disadvantaged communities and people with low incomes.'
+            
+            BoxLayout:
+                orientation: 'horizontal'
+                size_hint_y: 0.3
+                spacing: 10
+                padding: 10
+
+                Image:
+                    source: 'es_gui/resources/images/equity_process_flow.png'
+
+            BoxLayout:
+                orientation: 'horizontal'
+                size_hint_y: 0.3
+                spacing: 10
+                padding: 10
+
+                Image:
+                    source: 'es_gui/resources/images/Disadvantaged_Communities.png'
+
+                Image:
+                    source: 'es_gui/resources/images/Low_Income.png'
+    
+        BoxLayout:
+            size_hint_y: 0.05
+
+            AnchorLayout:
+                anchor_x: 'right'
+                anchor_y: 'bottom'
+
+                WizardNextButton:
+                    text: 'Get started'
+                    size_hint_x: 0.15
+
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR
+                        root.manager.transition.direction = 'left'
+                        root._next_screen()
+
+
+<PeakerRepWizardPlantSelect>:
+    content: content
+    power_plant_rv: power_plant_rv
+
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 5
+
+        WizardHeaderDesc:
+            text: 'Select a powerplant.'
+
+        BoxLayout:
+            orientation: 'vertical'
+            size_hint_y: 0.8
+            id: content
+            opacity: 0
+            padding: (WIZ_PADDING_X, 10)
+            spacing: 10
+
+            WizardBodyText:
+                size_hint_y: 0.05
+                text: "Select a powerplant to replace with ES + PV"
+            
+            BoxLayout:
+                orientation: 'horizontal'
+                size_hint_y: 0.9
+                spacing: 20
+                padding: (0, 10)
+
+                BoxLayout:
+                    orientation: 'vertical'
+                    spacing: 10
+                    size_hint_x: 0.8
+                
+                    TitleTextBase:
+                        size_hint_y: 0.05
+                        color: C(hex_secondary)
+                        text: 'Data bank'
+                        font_size: large_font
+
+                    TextInput:
+                        size_hint_y: 0.1
+                        on_text: power_plant_rv.filter_rv_data(self.text)
+                        hint_text: 'Filter by name'
+                        multiline: False
+
+                    MyRecycleView:
+                        id: power_plant_rv
+                        viewclass: 'PeakerRepPowerPlantRecycleViewRow'  
+
+                        SelectableRecycleBoxLayout:
+                            multiselect: False
+                            touch_multiselect: False
+
+    
+        BoxLayout:
+            size_hint_y: 0.05
+
+            AnchorLayout:
+                anchor_x: 'left'
+                anchor_y: 'center'
+
+                WizardPrevButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR/2
+                        root.manager.transition.direction = 'right'
+                        root.manager.current = root.manager.previous()
+
+            AnchorLayout:
+                anchor_x: 'right'
+                anchor_y: 'center'
+
+                WizardNextButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR
+                        root.manager.transition.direction = 'left'
+                        root._next_screen()
+
+<PeakerRepWizardSystemParameters>:
+    content: content
+    param_widget: param_widget
+    rf_10_button: rf_10_button
+    rf_20_button: rf_20_button
+    rf_30_button: rf_30_button
+    rf_40_button: rf_40_button
+    rf_50_button: rf_50_button
+    rf_60_button: rf_60_button
+    rf_70_button: rf_70_button
+    rf_80_button: rf_80_button
+    rf_90_button: rf_90_button
+    rf_100_button: rf_100_button
+
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 10
+        
+        WizardHeaderDesc:
+            text: 'Specify the analysis parameters.'
+
+        BoxLayout:
+            orientation: 'horizontal'
+            padding: 10
+            spacing: 10
+
+            BoxLayout:
+                orientation: 'vertical'
+                size_hint_y: 1
+                id: content
+                opacity: 0
+                padding: (5, 5)
+                spacing: 10
+                
+                PeakerRepParameterWidget:
+                    id: param_widget
+                    # size_hint_y: 0.60
+                    padding: (5, 5)
+                
+            BoxLayout:
+                orientation: 'vertical'
+                size_hint_y: 0.8
+                size_hint_x: 0.3
+                padding: (5, 5)
+                spacing: 10
+                
+                WizardBodyText:
+                    size_hint_y: 0.2
+                    text: 'Replacement Fractions. \n (pick up to three)'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_10_button
+                    text: '10%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_20_button
+                    text: '20%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_30_button
+                    text: '30%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_40_button
+                    text: '40%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_50_button
+                    text: '50%'
+                    state: 'down'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_60_button
+                    text: '60%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_70_button
+                    text: '70%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_80_button
+                    text: '80%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_90_button
+                    text: '90%'
+
+                ToggleTileButton:
+                    size_hint_y: 0.07
+                    id: rf_100_button
+                    text: '100%'
+                    state: 'down'
+
+        BoxLayout:
+            size_hint_y: 0.05
+
+            AnchorLayout:
+                anchor_x: 'left'
+                anchor_y: 'center'
+
+                WizardPrevButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR/2
+                        root.manager.transition.direction = 'right'
+                        root.manager.current = root.manager.previous()
+
+            AnchorLayout:
+                anchor_x: 'right'
+                anchor_y: 'center'
+
+                WizardNextButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR
+                        root.manager.transition.direction = 'left'
+                        root._next_screen()
+
+<PeakerRepWizardModelAssumption>:
+    content: content
+    flexible_button: flexible_button
+    fixed_button: fixed_button
+
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 10
+        
+        WizardHeaderDesc:
+            text: 'Spesify how the ES+PV offsets powerplant output.'
+        
+        BoxLayout:
+            orientation: 'horizontal'
+            size_hint_y: 1
+            size_hint_x: 1
+            id: content
+            padding: (5, 5)
+            spacing: 10
+
+            BoxLayout:
+                orientation: 'vertical'
+                size_hint_y: 1
+                size_hint_x: 0.6
+                padding: (15, 0)
+                spacing: 10
+    
+                Image:
+                    source: 'es_gui/resources/images/powerplant_rep.png'
+
+                WizardBodyText:
+                    size_hint_y: 0.1
+                    size_hint_x: 0.5
+                    text: 'Pick a Dispatch Assumption'
+
+                ToggleTileButton:
+                    size_hint_y: 0.1
+                    size_hint_x: 0.6
+                    id: flexible_button
+                    text: 'Flexible Dispatch'
+                    on_release: root._flexible_button_on_release()
+                    state: 'down'
+
+                ToggleTileButton:
+                    size_hint_y: 0.1
+                    size_hint_x: 0.6
+                    spacing: 30
+                    id: fixed_button
+                    text: 'Fixed Dispatch'
+                    on_release: root._fixed_button_on_release()
+                
+                WizardBodyText:
+                    size_hint_y: 0.3
+                    size_hint_x: 0.5
+                    text: ' '
+
+            BoxLayout:
+                size_hint_y: 1
+                orientation: 'vertical'
+                padding: (0, 5)
+                spacing: 10
+                
+                BoxLayout:
+                    size_hint_y: 0.5
+                    orientation: 'horizontal'
+                    padding: (0,5)
+                    spacing: 10
+
+                    WizardBodyText:
+                        size_hint_x: 0.2
+                        text: 'Flexible dispatch allows the ES+PV to partially reduce the output of the powerplant.'
+                    Image:
+                        size_hint_x: 0.4
+                        source: 'es_gui/resources/images/powerplant_rep_flexible.png'
+                
+                BoxLayout:
+                    size_hint_y: 0.5
+                    orientation: 'horizontal'
+                    padding: (0,5)
+                    spacing: 10                    
+
+                    WizardBodyText:
+                        size_hint_x: 0.2
+                        text: 'Fixed dispatch requires the ES+PV to produce more power than the powerplant before the powerplant will be turned off.'
+                
+                    Image:
+                        size_hint_x: 0.4
+                        source: 'es_gui/resources/images/powerplant_rep_fixed.png'
+                    
+        BoxLayout:
+            size_hint_y: 0.05
+
+            AnchorLayout:
+                anchor_x: 'left'
+                anchor_y: 'center'
+
+                WizardPrevButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR/2
+                        root.manager.transition.direction = 'right'
+                        root.manager.current = root.manager.previous()
+
+            AnchorLayout:
+                anchor_x: 'right'
+                anchor_y: 'center'
+
+                WizardNextButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR
+                        root.manager.transition.direction = 'left'
+                        root._next_screen()
+
+<PeakerRepParameterWidget>:
+    cols: 1
+    row_force_default: True
+    row_default_height: 40
+    spacing: (125, 50)
+
+<PeakerRepWizardSummary>:
+    content: content
+    plant_data_label: plant_data_label
+    system_parameters_label: system_parameters_label
+
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 5
+
+        WizardHeaderDesc:
+            text: 'Summary of selections.'
+
+        BoxLayout:
+            orientation: 'horizontal'
+            size_hint_y: 0.8
+            id: content
+            opacity: 0
+            padding: (WIZ_PADDING_X, 0)
+            spacing: 10
+
+            BoxLayout:
+                orientation: 'vertical'
+                spacing: 10
+                padding: 30
+                
+                WizardBodyText:
+                    id: plant_data_label
+                    size_hint_y: 0.8
+
+            BoxLayout:
+                orientation: 'vertical'
+                spacing: 10
+                padding: 30
+
+                WizardBodyText:
+                    id: system_parameters_label
+    
+        BoxLayout:
+            size_hint_y: 0.05
+
+            AnchorLayout:
+                anchor_x: 'left'
+                anchor_y: 'center'
+
+                WizardPrevButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR/2
+                        root.manager.transition.direction = 'right'
+                        root.manager.current = root.manager.previous()
+
+            AnchorLayout:
+                anchor_x: 'right'
+                anchor_y: 'center'
+
+                WizardNextButton:
+                    on_release:
+                        root.manager.transition.duration = BASE_TRANSITION_DUR
+                        root.manager.transition.direction = 'left'
+                        root._next_screen()
+
+<PeakerRepWizardExecute>:
+    top_desc: top_desc
+    content: content
+    progress_label: progress_label
+
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 5
+
+        WizardHeaderDesc:
+            id: top_desc
+            text: 'Building and solving models... '
+            
+        BoxLayout:
+            orientation: 'horizontal'
+            size_hint_y: 0.85
+            id: content
+            padding: (self.width/16, self.height/12)
+            spacing: 10
+            #opacity: 0
+
+            ScrollView:
+                #size_hint_y: 0.8
+                minimum_height: self.height
+
+#                canvas.before:
+#                    Color:
+#                        rgb: C('#f3f2f1')
+#                        #rgba: [1, 1, 1, 0.8]
+#                    Rectangle:
+#                        pos: self.pos
+#                        size: self.size
+
+                WizardBodyText:
+                    id: progress_label
+                    text: 'This may take a while. Please wait patiently!  \n \n Note on interpreting results: replacement factors are calculated over a whole year of powerplant operation. Powerplants can sometimes operate for several days or weeks at a time to support a seasonal peak load. This means that it can be much more expensive to replace the hardest 10% of plant operation than the easiest 10%. \n Example 1: If a powerplant operates continuously at 10 MW, to replace 100% of its operation would need roughly 40 MW of PV (given 6 hours of peek daylight per day) and a 180 MWh battery to store all the excess energy produced during each day for use overnight. However, replacing 50% of its operation would only require 20 MW of PV, and a 60 MWh battery to support 12 total hours of output.   \n Example 2: A powerplant normally operates for 3 hours per day at 10 MW after the sun sets. Once in the given year the powerplant operates continuously for 10 days at 10 MW. To replace 100% of its operation would still need roughly 40 MW of PV and a 180 MWh battery to provide power during that one 10-day period of continuous operation. However, now replacing 50% of its operation would only require 5 MW of PV, and a 30 MWh battery to support all operation except that one period. '
+                    size_hint: 1, None
+        
+        BoxLayout:
+            size_hint_y: 0.05
+
diff --git a/es_gui/apps/equity/peaker_rep.py b/es_gui/apps/equity/peaker_rep.py
new file mode 100644
index 00000000..fd79b922
--- /dev/null
+++ b/es_gui/apps/equity/peaker_rep.py
@@ -0,0 +1,447 @@
+from __future__ import absolute_import, print_function
+
+import logging
+from functools import partial
+import webbrowser
+import calendar
+import os
+import numpy as np
+import threading
+import json
+
+from kivy.uix.screenmanager import Screen, ScreenManager, SlideTransition, ScreenManagerException
+from kivy.uix.label import Label
+from kivy.uix.gridlayout import GridLayout
+from kivy.uix.boxlayout import BoxLayout
+from kivy.properties import ObjectProperty, StringProperty, BooleanProperty, ListProperty, DictProperty
+from kivy.uix.recycleview.views import RecycleDataViewBehavior
+from kivy.uix.button import Button
+from kivy.uix.togglebutton import ToggleButton
+from kivy.animation import Animation
+from kivy.clock import Clock, mainthread
+from kivy.uix.behaviors import FocusBehavior
+from kivy.uix.recycleview.layout import LayoutSelectionBehavior
+from kivy.uix.recycleboxlayout import RecycleBoxLayout
+from kivy.app import App
+from kivy.uix.popup import Popup
+from kivy.uix.behaviors import ButtonBehavior
+from kivy.uix.image import Image
+from kivy.uix.modalview import ModalView
+from kivy.uix.textinput import TextInput
+from kivy.uix.checkbox import CheckBox
+
+# from es_gui.apps.valuation.reporting import Report
+from .reporting import PeakerRepReport
+from es_gui.resources.widgets.common import BodyTextBase, MyPopup, WarningPopup, TileButton, RecycleViewRow, InputError, BASE_TRANSITION_DUR, BUTTON_FLASH_DUR, ANIM_STAGGER, FADEIN_DUR, SLIDER_DUR, PALETTE, rgba_to_fraction, fade_in_animation, slow_blinking_animation, WizardCompletePopup, ParameterRow, ParameterGridWidget
+from es_gui.apps.data_manager.data_manager import DATA_HOME
+
+
+from es_gui.tools.equity.readdata import get_pv_profile_string
+from es_gui.tools.equity.readdata import get_power_plant_string
+
+
+class PeakerRepWizard(Screen):
+    """The main screen for the cost savings wizard. This hosts the nested screen manager for the actual wizard."""
+    def on_enter(self):
+        ab = self.manager.nav_bar
+        ab.set_title('ES+PV Peaker Replacement')
+
+        # self.sm.generate_start()
+
+    def on_leave(self):
+        # Reset wizard to initial state by removing all screens except the first.
+        self.sm.current = 'start_peaker'
+
+        if len(self.sm.screens) > 1:
+            self.sm.clear_widgets(screens=self.sm.screens[1:])
+
+
+class PeakerRepWizardScreenManager(ScreenManager):
+    """The screen manager for the peaker plant replacement wizard screens."""
+    def __init__(self, **kwargs):
+        super(PeakerRepWizardScreenManager, self).__init__(**kwargs)
+
+        self.transition = SlideTransition()
+        self.add_widget(PeakerRepWizardStart(name='start_peaker'))
+
+
+class PeakerRepWizardStart(Screen):
+    """The starting/welcome screen for the peaker replacement wizard."""
+    def _next_screen(self):
+        if not self.manager.has_screen('plant_select_peaker'):
+            screen = PeakerRepWizardPlantSelect(name='plant_select_peaker')
+            self.manager.add_widget(screen)
+
+        self.manager.transition.duration = BASE_TRANSITION_DUR
+        self.manager.transition.direction = 'left'
+        self.manager.current = 'plant_select_peaker'
+
+class PeakerRepWizardPlantSelect(Screen):
+    """The power plant selection screen for the peaker replacement wizard."""
+    power_plant_selected = DictProperty()
+    has_selection = BooleanProperty(False)
+    imported_data_selected = BooleanProperty(False)
+
+    def __init__(self, **kwargs):
+        super(PeakerRepWizardPlantSelect, self).__init__(**kwargs) 
+
+        PeakerRepPowerPlantRecycleViewRow.power_plnat_screen = self
+
+    def on_enter(self):
+        try:
+            data_manager = App.get_running_app().data_manager
+            #print([x[1] for x in data_manager.get_plants().items()])
+            plant_options = [
+                {
+                'name': x[0], 'path': x[1], 'descriptors': get_power_plant_string(x[1])
+                }  
+                for x in data_manager.get_plants().items()
+                ]
+            self.power_plant_rv.data = plant_options
+            self.power_plant_rv.unfiltered_data = plant_options
+        except Exception as e:
+            print(e)
+        
+        Clock.schedule_once(partial(fade_in_animation, self.content), 0)
+
+    def on_leave(self):
+        Animation.stop_all(self.content, 'opacity')
+        self.content.opacity = 0
+    
+    def on_plant_selected(self, instance, value):
+        try:
+            logging.info('PeakerRep: power plant selection changed to {0}.'.format(value['Name']))
+        except KeyError:
+            logging.info('PeakerRep: power plant selection reset.')
+            self.has_selection = False
+        else:
+            self.has_selection = True
+            self.imported_data_selected = False
+    
+    def on_imported_data_selected(self, instance, value):
+        if value:
+            self.open_data_importer_button.text = 'Data imported'
+            self.open_data_importer_button.background_color = rgba_to_fraction(PALETTE[3])
+            Clock.schedule_once(partial(slow_blinking_animation, self.open_data_importer_button), 0)
+
+            self.power_plant_rv.deselect_all_nodes()
+        else:
+            self.open_data_importer_button.text = 'Open data importer'
+            self.open_data_importer_button.background_color = rgba_to_fraction(PALETTE[0])
+            self.open_data_importer_button.opacity = 1
+            Animation.cancel_all(self.open_data_importer_button, 'opacity')
+
+    def _validate_inputs(self):
+        return self.power_plant_selected
+    
+    def get_selections(self):
+        """Retrieves screen's selections."""
+        try:
+            power_plant_selected = self._validate_inputs()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            return power_plant_selected
+    
+    def _next_screen(self):
+        if not self.manager.has_screen('system_parameters_peaker'):
+            screen = PeakerRepWizardSystemParameters(name='system_parameters_peaker')
+            self.manager.add_widget(screen)
+
+        self.manager.transition.duration = BASE_TRANSITION_DUR
+        self.manager.transition.direction = 'left'
+        self.manager.current = 'system_parameters_peaker'          
+        
+
+class PeakerRepPowerPlantRecycleViewRow(RecycleViewRow):
+    """The representation widget for node in the Power Plant selector RecycleView."""
+    power_plnat_screen = None
+
+    def on_touch_down(self, touch):
+        """Add selection on touch down."""
+        if super(PeakerRepPowerPlantRecycleViewRow, self).on_touch_down(touch):
+            return True
+        if self.collide_point(*touch.pos) and self.selectable:
+            return self.parent.select_with_touch(self.index, touch)
+
+    def apply_selection(self, rv, index, is_selected):
+        """Respond to the selection of items in the view."""
+        self.selected = is_selected
+
+        if is_selected:
+            self.power_plnat_screen.power_plant_selected = rv.data[self.index]
+    
+    def deselect_node(self):
+        super(PeakerRepPowerPlantRecycleViewRow, self).deselect_node(self)
+
+
+
+class PeakerRepWizardSystemParameters(Screen):
+    """"""
+
+    def on_pre_enter(self):
+        if not self.param_widget.children:
+            self.param_widget.build()
+    
+    def on_enter(self):
+        Clock.schedule_once(partial(fade_in_animation, self.content), 0)
+    
+    def on_leave(self):
+        Animation.stop_all(self.content, 'opacity')
+        self.content.opacity = 0
+    
+    def _validate_inputs(self):
+        replacement_fractions = []
+        if self.rf_10_button.state == 'down':
+            replacement_fractions.append(0.1)
+        if self.rf_20_button.state == 'down':
+            replacement_fractions.append(0.2)
+        if self.rf_30_button.state == 'down':
+            replacement_fractions.append(0.3)
+        if self.rf_40_button.state == 'down':
+            replacement_fractions.append(0.4)
+        if self.rf_50_button.state == 'down':
+            replacement_fractions.append(0.5)
+        if self.rf_60_button.state == 'down':
+            replacement_fractions.append(0.6)
+        if self.rf_70_button.state == 'down':
+            replacement_fractions.append(0.7)
+        if self.rf_80_button.state == 'down':
+            replacement_fractions.append(0.8)
+        if self.rf_90_button.state == 'down':
+            replacement_fractions.append(0.9)
+        if self.rf_100_button.state == 'down':
+            replacement_fractions.append(1.0)
+
+        params = self.param_widget.get_inputs()
+        params[0]['replacement_fractions'] = replacement_fractions
+        params_desc = self.param_widget.get_input_strings()
+        replacement_fractions_desc = 'powerplant replacement fractions: '
+        for i in range(len(replacement_fractions)):
+            replacement_fractions_desc += str(replacement_fractions[i]) + ', '
+        params_desc.append(replacement_fractions_desc)
+
+        return params, params_desc
+
+    def get_selections(self):
+        """Retrieves screen's selections."""
+        try:
+            params, params_desc = self._validate_inputs()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            return params, params_desc
+    
+    def _next_screen(self):
+        if not self.manager.has_screen('model_assumption'):
+            screen = PeakerRepWizardModelAssumption(name='model_assumption')
+            self.manager.add_widget(screen)
+        try:
+            self.get_selections()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            self.manager.transition.duration = BASE_TRANSITION_DUR
+            self.manager.transition.direction = 'left'
+            self.manager.current = 'model_assumption'
+
+
+class PeakerRepWizardModelAssumption(Screen):
+
+    """"""
+
+    def on_enter(self):
+        Clock.schedule_once(partial(fade_in_animation, self.content), 0)
+    
+    def on_leave(self):
+        Animation.stop_all(self.content, 'opacity')
+        self.content.opacity = 0
+
+    def _flexible_button_on_release(self):
+        self.fixed_button.state = 'normal'
+
+    def _fixed_button_on_release(self):
+        self.flexible_button.state = 'normal'
+
+    def _validate_inputs(self):
+        if self.flexible_button.state == 'down':
+            flexible_dispatch = True
+            fixed_dispatch = False
+        if self.fixed_button.state == 'down':
+            flexible_dispatch = False
+            fixed_dispatch = True
+
+        params = {}
+        params['flexible_dispatch'] = flexible_dispatch
+        params['fixed_dispatch'] = fixed_dispatch
+
+        params_desc = []
+        flexible_dispatch_desc = 'Flexible_dispatch : ' + str(flexible_dispatch)
+        params_desc.append(flexible_dispatch_desc)
+
+        fixed_dispatch_desc ='Fixed_dispatch : ' + str(fixed_dispatch) 
+        params_desc.append(fixed_dispatch_desc)
+
+        return params, params_desc
+
+    def get_selections(self):
+        """Retrieves screen's selections."""
+        try:
+            params, params_desc = self._validate_inputs()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            return params, params_desc
+    
+    def _next_screen(self):
+        if not self.manager.has_screen('peaker_summary'):
+            screen = PeakerRepWizardSummary(name='peaker_summary')
+            self.manager.add_widget(screen)
+        
+        try:
+            self.get_selections()
+        except InputError as e:
+            popup = WarningPopup()
+            popup.popup_text.text = str(e)
+            popup.open()
+        else:
+            self.manager.transition.duration = BASE_TRANSITION_DUR
+            self.manager.transition.direction = 'left'
+            self.manager.current = 'peaker_summary'
+
+class PeakerRepParameterWidget(ParameterGridWidget):
+    """Grid layout containing rows of parameter adjustment widgets."""
+    def build(self):
+        # Build the widget by creating a row for each parameter.
+        data_manager = App.get_running_app().data_manager
+        MODEL_PARAMS = data_manager.get_equity_analysis_params()
+
+        for param in MODEL_PARAMS:
+            row = ParameterRow(desc=param)
+            self.add_widget(row)
+            setattr(self, param['attr name'], row)
+
+
+class PeakerRepWizardSummary(Screen):
+    """"""
+    def get_selections(self):
+        sm = self.manager
+
+        op_handler_requests = {}
+
+        op_handler_requests['plant_data'] = sm.get_screen('plant_select_peaker').get_selections()
+        op_handler_requests['params'], op_handler_requests['param desc'] = sm.get_screen('system_parameters_peaker').get_selections()
+        op_handler_requests['dispatch_model'], op_handler_requests['dispatch model desc'] = sm.get_screen('model_assumption').get_selections()
+
+        return op_handler_requests
+
+    def on_enter(self):
+        Clock.schedule_once(partial(fade_in_animation, self.content), 0)
+
+        op_handler_requests = self.get_selections()
+        plant_data = op_handler_requests['plant_data']
+        #pv_profile = op_handler_requests['pv_profile']
+        system_params = op_handler_requests['param desc']
+        model_param = op_handler_requests['dispatch model desc']
+
+        # Power plant data label.
+        plant_data_text = '[b]Power Plant Data:[/b]\n'
+        plant_data_text += '\n'.join(plant_data.get('descriptors', ['None selected']))
+        self.plant_data_label.text = plant_data_text
+
+        # System parameters label.
+        system_parameters_text = '[b]System Parameters:[/b]\n'
+        system_parameters_text += '\n'.join(system_params)
+        system_parameters_text += '\n'.join(model_param)
+        self.system_parameters_label.text = system_parameters_text
+
+
+    
+    def on_leave(self):
+        Animation.stop_all(self.content, 'opacity')
+        self.content.opacity = 0
+
+    def _next_screen(self):
+        if not self.manager.has_screen('execute_peaker'):
+            screen = PeakerRepWizardExecute(name='execute_peaker')
+            self.manager.add_widget(screen)
+        
+        self.manager.transition.duration = BASE_TRANSITION_DUR
+        self.manager.transition.direction = 'left'
+        self.manager.current = 'execute_peaker'
+
+
+class PeakerRepWizardExecute(Screen):
+    """The screen for executing the prescribed optimizations for the cost savings wizard."""
+    solved_ops = []
+    report_attributes = {}
+
+    def on_enter(self):
+        self.execute_run()
+
+    # def on_leave(self):
+    #     self.progress_label.text = 'This may take a while. Please wait patiently!'
+
+    def execute_run(self):
+        equity_home = self.manager.parent.parent.manager.get_screen('equity_home')
+        ss = self.manager.get_screen('peaker_summary')
+
+        op_handler_requests = ss.get_selections()
+
+        # Send requests to handler.
+        handler = equity_home.handler
+        handler.solver_name = App.get_running_app().config.get('optimization', 'solver')
+
+
+
+        self.solved_ops, handler_status = handler.process_requests(op_handler_requests)
+
+        popup = WizardCompletePopup()
+
+        # Check PeakerOp handler status.
+        if len(handler_status) > 0:
+            if self.solved_ops:
+                # At least one model solved successfully.
+                popup.title = "Success!*"
+                popup.popup_text.text = '\n'.join([
+                    'All finished, but we found these issues:',
+                ]
+                + list(handler_status)
+                )
+            else:
+                # No models solved successfully.
+                popup.title = "Hmm..."
+                popup.popup_text.text = '\n'.join([
+                    'Unfortunately, none of the models were able to be solved. We found these issues:',
+                ]
+                + list(handler_status)
+                )
+
+                popup.results_button.text = "Take me back"
+                popup.bind(on_dismiss=lambda x: self.manager.parent.parent.manager.nav_bar.go_up_screen())  # Go back to Equity Home
+                popup.open()
+                return
+        
+        self.report_attributes = op_handler_requests
+
+        popup = WizardCompletePopup()
+
+        # if not handler_status:
+        #     popup.title = "Success!*"
+        #     popup.popup_text.text = "All calculations finished. Press 'OK' to proceed to the results.\n\n*At least one model (month) had issues being built and/or solved. Any such model will be omitted from the results."
+
+        popup.bind(on_dismiss=self._next_screen)
+        popup.open()
+
+    def _next_screen(self, *args):
+        """Adds the report screen if it does not exist and changes screens to it."""
+        report = PeakerRepReport(name='report', chart_data=self.solved_ops, report_attributes=self.report_attributes)
+        self.manager.switch_to(report, direction='left', duration=BASE_TRANSITION_DUR)
diff --git a/es_gui/apps/equity/reporting.kv b/es_gui/apps/equity/reporting.kv
new file mode 100644
index 00000000..232aff04
--- /dev/null
+++ b/es_gui/apps/equity/reporting.kv
@@ -0,0 +1,51 @@
+<PeakerRepGenerateReportMenu>:
+    size_hint: (0.95, 0.95)
+    auto_dismiss: False
+    sm: sm
+    generate_report_button: generate_report_button
+
+    BoxLayout:
+        orientation: 'horizontal'
+        padding: 10
+        spacing: 5
+
+        canvas.before:
+            Color:
+                rgba: C(hex_white)
+            Rectangle:
+                size: self.size
+                pos: self.pos
+
+        BoxLayout:
+            orientation: 'horizontal'
+            size_hint_x: 0.8
+            size_hint_y: 1.0
+            padding: 0
+
+            ReportScreenManager:
+                id: sm
+
+                Screen:
+
+        BoxLayout:
+            orientation: 'vertical'
+            size_hint_x: 0.2
+            padding: 10
+            spacing: 5
+
+            ReportBodyText:
+                #size_hint_y: 0.90
+                text: "Click 'Start' to generate a pro forma report for you to view and print. \n\nWe'll need to draw and save some figures from the wizard report so pardon us as we flip through some screens!"
+
+            TileButton:
+                id: generate_report_button
+                size_hint_y: 0.05
+                text: 'Start'
+                on_release: root.generate_report_screens()
+
+            TileButton:
+                size_hint_y: 0.05
+                text: 'Return'
+                on_release: root.dismiss()
+
+
diff --git a/es_gui/apps/equity/reporting.py b/es_gui/apps/equity/reporting.py
new file mode 100644
index 00000000..cbcf953a
--- /dev/null
+++ b/es_gui/apps/equity/reporting.py
@@ -0,0 +1,932 @@
+from random import sample, choice
+from functools import partial
+from collections import OrderedDict
+import calendar
+import os
+import datetime
+import webbrowser
+import base64
+from time import sleep
+import json
+import numpy_financial as npf
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+from matplotlib.patches import Polygon
+from mpl_toolkits.axes_grid1 import make_axes_locatable
+import numpy as np
+
+from math import sin
+
+from jinja2 import Environment, FileSystemLoader, select_autoescape
+from kivy.uix.screenmanager import Screen, ScreenManager, WipeTransition, NoTransition
+from kivy.uix.button import Button
+from kivy.uix.togglebutton import ToggleButton
+from kivy.uix.modalview import ModalView
+from kivy.clock import Clock
+#from kivy.garden.graph import Graph, MeshLinePlot
+
+from es_gui.proving_grounds.charts import BarChart, StackedBarChart, MultisetBarChart, PieChart, DonutChart, format_dollar_string
+from es_gui.resources.widgets.common import TWO_ABC_WIDTH, THREE_ABC_WIDTH, MyPopup, TileButton, PALETTE, rgba_to_fraction, ReportScreen, WizardReportInterface, ReportChartToggle
+
+STATIC_HOME = 'es_gui/apps/data_manager/_static'
+GEOJSON = "geojson-counties-fips.json"
+
+def format_long_dollar_string(value):
+    """Formats a float representing USD with comma separators, dollar sign, $M/$B where appropreate, and proper negative sign placement."""
+
+    if abs(value) > 1000000:
+        # $M
+        if value >= 0:
+            return_str = "${0:,.1f}M".format(value/1000000)
+        else:
+            return_str = "-${0:,.1f}M".format(-value/1000000)
+        if abs(value) > 1000000000:
+            # $B
+            if value >= 0:
+                return_str = "${0:,.2f}B".format(value/1000000000)
+            else:
+                return_str = "-${0:,.2f}B".format(-value/1000000000)
+    else:
+        if value >= 0:
+            return_str = "${0:,.0f}".format(value)
+        else:
+            return_str = "-${0:,.0f}".format(-value)
+    
+    return return_str
+
+class PeakerRepReport(WizardReportInterface):
+    chart_types = OrderedDict({
+        'Capital Cost': 'cost_bar',
+        'Power and Energy': 'power_and_energy',
+        'Pollution Reduction Benefits': 'pollution_reduction_benefits',
+        'Sotial Net Present Value (sNPV)': 'generate_NPV_bar_chart',
+        'Disadvantaged benefits fraction': 'disadvantaged_stackedbar_normalized',
+        'Disadvantaged sNPV': 'generate_disadvantaged_NPV_bar_chart',
+        'Low-Income benefits fraction': 'low_income_stackedbar_normalized',
+        'Low-Income sNPV': 'generate_low_income_NPV_bar_chart',
+                   })
+    
+    # Sometimes the charges/bills/savings can be negative so we can't use stacked bar or donut charts.
+
+    def __init__(self, chart_data, report_attributes, **kwargs):
+        super(PeakerRepReport, self).__init__(**kwargs)
+
+        self.chart_type = type
+        self.chart_data = chart_data
+        self.report_attributes = report_attributes
+
+        sm = self.report_sm
+        # self.generate_report_button.disabled = True
+
+        # Build chart type selection buttons and corresponding report screens.
+        for opt in self.chart_types.items():
+            button = ReportChartToggle(text=opt[0])
+            button.bind(state=partial(self.add_report, opt[1]))
+            self.chart_type_toggle.add_widget(button)
+
+            screen = PeakerRepReportScreen(type=opt[1], chart_data=self.chart_data, name=opt[1])
+            sm.add_widget(screen)
+    
+    def has_chart(self, name):
+        """Returns True if chart_data will generate a chart."""
+        has_chart_status = True
+        
+        return has_chart_status
+
+    def add_report(self, chart_type, *args):
+        # Adds a ReportScreen of type chart_type to the screen manager.
+        sm = self.report_sm
+        sm.transition = WipeTransition(duration=0.8, clearcolor=[1, 1, 1, 1])
+
+        if not sm.has_screen(chart_type):
+            screen = PeakerRepReportScreen(type=chart_type, chart_data=self.chart_data, name=chart_type)
+            sm.add_widget(screen)
+
+        sm.current = chart_type
+    
+    def open_generate_report_menu(self):
+        PeakerRepGenerateReportMenu.host_report = self
+        gen_report_menu = PeakerRepGenerateReportMenu()
+        gen_report_menu.open()
+
+
+class ReportScreenManager(ScreenManager):
+    transition = WipeTransition(duration=0.8, clearcolor=[1, 1, 1, 1])
+
+
+class PeakerRepReportScreen(ReportScreen):
+    """A report screen for the BTM Cost Savings Wizard."""
+
+    def __init__(self, type, chart_data, do_animation=True, **kwargs):
+        super(PeakerRepReportScreen, self).__init__(**kwargs)
+
+        self.chart_type = type
+        self.chart_data = chart_data
+        self.do_animation = do_animation
+
+        if self.chart_type == 'cost_bar':
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            self.chart = BarChart(bar_spacing=25, y_axis_format='${0:,.1f}', size_hint_x=1, do_animation=self.do_animation)
+            self.bind(on_enter=self.generate_cost_bar_chart)
+        elif self.chart_type == 'power_and_energy':
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            self.chart = BarChart(bar_spacing=25, y_axis_format='{0:,.0f}', size_hint_x=1, do_animation=self.do_animation)            
+            self.bind(on_enter=self.generate_power_energy_bar_chart)
+
+        elif self.chart_type == 'pollution_reduction_benefits':
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            self.chart = BarChart(bar_spacing=25, y_axis_format='${0:,.1f}', size_hint_x=1, do_animation=self.do_animation)
+            self.bind(on_enter=self.generate_pollution_bar_chart)
+
+        elif self.chart_type == 'generate_NPV_bar_chart':
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            self.chart = BarChart(bar_spacing=25, y_axis_format='${0:,.1f}', size_hint_x=1.0, do_animation=self.do_animation)
+            self.bind(on_enter=self.generate_NPV_bar_chart)
+
+        elif self.chart_type == 'disadvantaged_stackedbar_normalized':
+            # set up vertical orientation for stackedbar chart
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            # generate stackedbar chart
+            self.chart = StackedBarChart(bar_spacing=25, legend_width=TWO_ABC_WIDTH/4, y_axis_format='{0:n}%', size_hint_x=1.0, do_animation=self.do_animation)
+            self.bind(on_enter=partial(self.generate_disadvantaged_stackedbar_chart))
+        
+        elif self.chart_type == 'generate_disadvantaged_NPV_bar_chart':
+            # set up vertical orientation for stackedbar chart
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            # generate stackedbar chart
+            self.chart = BarChart(bar_spacing=25, y_axis_format='${0:,.1f}', size_hint_x=1.0, do_animation=self.do_animation)
+            self.bind(on_enter=self.generate_disadvantaged_NPV_bar_chart)
+
+        elif self.chart_type == 'low_income_stackedbar_normalized':
+            # set up vertical orientation for stackedbar chart
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            # generate stackedbar chart
+            self.chart = StackedBarChart(bar_spacing=25, legend_width=TWO_ABC_WIDTH/4, y_axis_format='{0:n}%', size_hint_x=1.0, do_animation=self.do_animation)
+            self.bind(on_enter=partial(self.generate_low_income_stackedbar_chart))
+
+        elif self.chart_type == 'generate_low_income_NPV_bar_chart':
+            # set up vertical orientation for stackedbar chart
+            self.chart_bx.orientation = 'vertical'
+
+            #self.desc.width = THREE_ABC_WIDTH
+            self.desc_bx.size_hint_y = 0.33
+
+            # generate stackedbar chart
+            self.chart = BarChart(bar_spacing=25, y_axis_format='${0:,.1f}', size_hint_x=1.0, do_animation=self.do_animation)
+            self.bind(on_enter=self.generate_low_income_NPV_bar_chart)
+
+        else:
+            raise(ValueError('An improper chart type was specified. (got {0})'.format(self.chart_type)))
+
+        self.chart_bx.add_widget(self.chart)
+
+    def on_leave(self):
+        # reset the chart
+        self.chart.clear_widgets()
+
+    def generate_cost_bar_chart(self, *args):
+        """Generates bar chart showing the total bill with energy storage each month."""
+        bar_data = []
+
+        '''if len(self.chart_data) > len(PALETTE):
+            colors = PALETTE
+        else:
+            colors = sample(PALETTE, len(self.chart_data))'''
+        colors = PALETTE
+
+        self.title.text = "Estemated costs for replacing the selected power plant."
+        self.desc.text = "The selected power plant can be replaced, in part or in full, by a combenation of energy storage and PV. The total costs in order are: \n"
+        report_templates = ''
+        for ix, op in enumerate(self.chart_data, start=0):
+            label = op[0]
+            peaker_name = label.split(' | ')[1]
+            eo = op[1]
+            pv_cost =  eo.cost_per_MW_PV_system * eo.pv_capacity + eo.fixed_cost_of_PV_system
+            ess_cost = eo.cost_per_MWh_BESS * eo.energy_capacity + eo.cost_per_MW_BESS * eo.power_capacity + eo.fixed_cost_of_the_BESS
+            total_cost = pv_cost + ess_cost
+            bar_color = colors[divmod(0, len(colors))[1]]
+            bar_data.append(['pv :'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), pv_cost])
+            
+            bar_color = colors[divmod(1, len(colors))[1]]
+            bar_data.append(['ess :'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), ess_cost])
+
+            bar_color = colors[divmod(2, len(colors))[1]]
+            bar_data.append(['total :'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), ess_cost+pv_cost])
+
+            text = ('Rep. Frac.: {0:,.0f}%'.format(eo.replacement_fraction*100)
+                   +', total cost: {0}'.format(format_long_dollar_string(total_cost))+'\n')
+            report_templates += text
+
+        self.chart.draw_chart(bar_data)
+
+        self.desc.text += ' '.join(report_templates)
+        self.is_drawn = True
+
+    def generate_power_energy_bar_chart(self, *args):
+        """Generates bar chart showing the energy storage and pv needed to replace the powerplant."""
+        bar_data = []
+
+        '''if len(self.chart_data) > len(PALETTE):
+            colors = PALETTE
+        else:
+            colors = sample(PALETTE, len(self.chart_data))'''
+        colors = PALETTE
+
+        self.title.text = "Estemated pv and battery sizes needed to replace the selected power plant."
+        self.desc.text = "\n "
+        report_templates = ''
+        for ix, op in enumerate(self.chart_data, start=0):
+            label = op[0]
+            peaker_name = label.split(' | ')[1]
+            eo = op[1]
+            pv_cost =  eo.cost_per_MW_PV_system * eo.pv_capacity + eo.fixed_cost_of_PV_system
+            ess_cost = eo.cost_per_MWh_BESS * eo.energy_capacity + eo.cost_per_MW_BESS * eo.power_capacity + eo.fixed_cost_of_the_BESS
+            total_cost = pv_cost + ess_cost
+            bar_color = colors[divmod(0, len(colors))[1]]
+            
+            bar_data.append(['pv:'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), eo.pv_capacity])
+            
+            bar_color = colors[divmod(3, len(colors))[1]]
+            bar_data.append(['ess-p:'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), eo.power_capacity])
+
+            bar_color = colors[divmod(4, len(colors))[1]]
+            bar_data.append(['ess-e:'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), eo.energy_capacity])
+            text = ('R.F.: {0:.0f}%'.format(eo.replacement_fraction*100)
+                   +', pv: {0:,.0f}MW'.format(eo.pv_capacity)
+                   +', ess-p: {0:,.0f}MW'.format(eo.power_capacity)
+                   +', ess-e: {0:,.0f}MWh'.format(eo.energy_capacity)+'\n')
+            report_templates += text
+
+        self.chart.draw_chart(bar_data)
+
+        self.desc.text += ' '.join(report_templates)
+        self.is_drawn = True
+
+    def generate_pollution_bar_chart(self, *args):
+        """Generates bar chart the health benefits of offsetting the powerplant's polution."""
+        bar_data = []
+
+        colors = PALETTE
+
+        self.title.text = "Estemated health benefits of from reduced pollution."
+        self.desc.text = "The EPA's COBRA tool estimates the value of the health benefits from cessation of powerplant pollution. Data from Justice40 are then used to calculate how much of those health benefits go to disadvantaged communities and people with low incomes. \n"
+        report_templates = ''
+        for ix, op in enumerate(self.chart_data, start=0):
+            label = op[0]
+            peaker_name = label.split(' | ')[1]
+            eo = op[1]
+    
+            bar_color = colors[divmod(5, len(colors))[1]]
+            bar_data.append(['Total Low', rgba_to_fraction(bar_color), eo.Pollution_Low_Value])
+            bar_data.append(['Total High', rgba_to_fraction(bar_color), eo.Pollution_High_Value])
+            bar_color = colors[divmod(4, len(colors))[1]]
+            bar_data.append(['Disad. Low', rgba_to_fraction(bar_color), eo.total_impact_on_disadvantaged_population_low])
+            bar_data.append(['Disad. High', rgba_to_fraction(bar_color), eo.total_impact_on_disadvantaged_population_high])
+            bar_color = colors[divmod(3, len(colors))[1]]
+            bar_data.append(['Low-Inc. Low', rgba_to_fraction(bar_color), eo.total_impact_on_low_income_population_low])
+            bar_data.append(['Low-Inc. High', rgba_to_fraction(bar_color), eo.total_impact_on_low_income_population_high])
+
+            break
+            
+        text = ('Total Health benefits : Low Estemate {0}, High Estemate {1}'.format(format_long_dollar_string(eo.Pollution_Low_Value),format_long_dollar_string(eo.Pollution_High_Value))+'\n'
+                +'Disadvantaged Communities: Low {0}, High {1}'.format(format_long_dollar_string(eo.total_impact_on_disadvantaged_population_low),format_long_dollar_string(eo.total_impact_on_disadvantaged_population_high))+'\n'
+                +'Low-Income (<200% poverty): Low {0}, High {1}'.format(format_long_dollar_string(eo.total_impact_on_low_income_population_low),format_long_dollar_string(eo.total_impact_on_low_income_population_high)) )
+
+        report_templates += text
+
+        self.chart.draw_chart(bar_data)
+
+        self.desc.text += ' '.join(report_templates)
+        self.is_drawn = True
+
+    def generate_NPV_bar_chart(self, *args):
+        """Generates bar chart showing the total Net Present Value"""
+        bar_data = []
+
+        '''if len(self.chart_data) > len(PALETTE):
+            colors = PALETTE
+        else:
+            colors = sample(PALETTE, len(self.chart_data))'''
+        colors = PALETTE
+
+
+        self.title.text = "Total sNPV"
+        self.desc.text = "Over a 20 year horizon the sotial Net Present Value (sNPV) can be calculated for the health and climate benifits. \n"
+        report_templates = ''
+        for ix, op in enumerate(self.chart_data, start=0):
+            label = op[0]
+            eo = op[1]
+
+            NPV_multiplier = float(-npf.pv(eo.discount_rate,20,1,0))
+
+            bar_color = colors[divmod(1, len(colors))[1]]
+            Helth_Ave = (eo.Pollution_Low_Value+eo.Pollution_High_Value)*eo.replacement_fraction/2
+            bar_data.append(['Health:'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), Helth_Ave*NPV_multiplier])
+
+            bar_color = colors[divmod(4, len(colors))[1]]
+            SCC = eo.CO2_emissions*eo.replacement_fraction*eo.cost_per_ton_of_CO2
+            bar_data.append(['SCC:'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), SCC*NPV_multiplier])
+
+            bar_color = colors[divmod(2, len(colors))[1]]
+            total_sNPV = (Helth_Ave+SCC)*NPV_multiplier
+            bar_data.append(['sNPV:'+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), total_sNPV])
+            
+            text = ('Rep. Frac.: {0:.0f}%'.format(eo.replacement_fraction*100)
+                    +', Health High: {0}'.format(format_long_dollar_string(Helth_Ave*NPV_multiplier))
+                    +', Carbon: {0}'.format(format_long_dollar_string(SCC*NPV_multiplier))
+                   +', Total sNPV: {0}'.format(format_long_dollar_string(total_sNPV))+'\n')
+            report_templates += text
+
+        self.chart.draw_chart(bar_data)
+
+        self.desc.text += ' '.join(report_templates)
+        self.is_drawn = True
+
+    def generate_disadvantaged_stackedbar_chart(self, *args):
+        """
+        Creates a stacked bar chart counting the number of times each decision variable was nonzero. The number and labels of bar components are determined by the population and benifit fractions.
+        :return:
+        """
+
+        stackedbar_data = OrderedDict()
+        colors = PALETTE
+        self.desc.text = 'The results from the COBRA tool are crossreferanced with justice40 data to calculate how much of the health benefits from replacing this powerplant would go to people in diadvantaged comunities. \n'   
+        report_templates = ''
+        # compute activity counts
+        for ix, op in enumerate(self.chart_data, start=0):
+            name = op[0]
+
+            solved_op = op[1]
+            results = solved_op.results
+
+            population_bar_stack = []
+
+            label = op[0]
+            peaker_name = label.split(' | ')[1]
+            eo = op[1]
+    
+            bar_color = colors[divmod(7, len(colors))[1]]
+            population_bar_stack.append(['Disad', rgba_to_fraction(bar_color), eo.disadvantaged_population_fraction*100])
+            bar_color = colors[divmod(2, len(colors))[1]]
+            population_bar_stack.append(['Non-Disad', rgba_to_fraction(bar_color), 100-eo.disadvantaged_population_fraction*100])
+
+            stackedbar_data['population'] = population_bar_stack
+
+            benefits_bar_stack = []
+    
+            bar_color = colors[divmod(7, len(colors))[1]]
+            benefits_bar_stack.append(['to Disad', rgba_to_fraction(bar_color), eo.impact_on_disadvantaged_population_fraction*100])
+            bar_color = colors[divmod(2, len(colors))[1]]
+            benefits_bar_stack.append(['to Non-Disad', rgba_to_fraction(bar_color), 100-eo.impact_on_disadvantaged_population_fraction*100])
+
+            stackedbar_data['benefits'] = benefits_bar_stack
+
+            text = ('% disadvantaged communities: {0:.1f}%'.format(eo.disadvantaged_population_fraction*100)+'\n'
+                   +'% benefits to disadvantaged communities: {0:.1f}%'.format(eo.impact_on_disadvantaged_population_fraction*100)+'\n')
+            report_templates += text
+            break
+
+        # generate chart
+        self.chart.draw_chart(stackedbar_data)
+
+
+        # generate report text
+        self.title.text = "Estemated fraction of health benefits that would go to disadvantaged communities."
+        self.desc.text += ' '.join(report_templates)
+
+    def generate_low_income_stackedbar_chart(self, *args):
+        """
+        Creates a stacked bar chart counting the number of times each decision variable was nonzero. The number and labels of bar components are determined by the population and benifit fractions.
+        :return:
+        """
+
+        stackedbar_data = OrderedDict()
+        colors = PALETTE
+        self.desc.text = 'The results from the COBRA tool are crossreferanced with justice40 data to calculate how much of the health benefits from replacing this plant would go to people with low incomes \n'
+        report_templates = ''
+        # compute activity counts
+        for ix, op in enumerate(self.chart_data, start=0):
+            name = op[0]
+            solved_op = op[1]
+            results = solved_op.results
+
+            population_bar_stack = []
+
+            label = op[0]
+            peaker_name = label.split(' | ')[1]
+            eo = op[1]
+    
+            bar_color = colors[divmod(3, len(colors))[1]]
+            population_bar_stack.append(['Low', rgba_to_fraction(bar_color), eo.low_income_population_fraction*100])
+            bar_color = colors[divmod(4, len(colors))[1]]
+            population_bar_stack.append(['Non-Low', rgba_to_fraction(bar_color), 100-eo.low_income_population_fraction*100])
+
+            stackedbar_data['population'] = population_bar_stack
+
+            benefits_bar_stack = []
+    
+            bar_color = colors[divmod(3, len(colors))[1]]
+            benefits_bar_stack.append(['to Low', rgba_to_fraction(bar_color), eo.impact_on_low_income_population_fraction*100])
+            bar_color = colors[divmod(4, len(colors))[1]]
+            benefits_bar_stack.append(['to Non-Low', rgba_to_fraction(bar_color), 100-eo.impact_on_low_income_population_fraction*100])
+
+            stackedbar_data['benefits'] = benefits_bar_stack
+            text = ('% low-income people: {0:.1f}%'.format(eo.low_income_population_fraction*100)+'\n'
+                   +'% benefits to low-income people: {0:.1f}%'.format(eo.impact_on_low_income_population_fraction*100)+'\n')
+            report_templates += text
+            break
+
+        # generate chart
+        self.chart.draw_chart(stackedbar_data)
+
+        # generate report text
+        self.title.text = "Estemated fraction of health benefits that would go to people with low incomes."
+        self.desc.text += ' '.join(report_templates)
+
+    def generate_disadvantaged_NPV_bar_chart(self, *args):
+        """Generates bar chart showing the total Net Present Value"""
+        bar_data = []
+
+        '''if len(self.chart_data) > len(PALETTE):
+            colors = PALETTE
+        else:
+            colors = sample(PALETTE, len(self.chart_data))'''
+        colors = PALETTE
+
+
+        self.title.text = "Disadvantaged sNPV."
+        self.desc.text = "Over a 20 year horizon the sotial Net Present Value (sNPV) in health benifits accrued to pepole in disadvantaged communities is calculated below. \n"
+        report_templates = ''
+        for ix, op in enumerate(self.chart_data, start=0):
+            label = op[0]
+            peaker_name = label.split(' | ')[1]
+            eo = op[1]
+
+            NPV_multiplier = float(-npf.pv(eo.discount_rate,20,1,0))
+            bar_color = colors[divmod(7, len(colors))[1]]
+            low_sNPV = eo.Pollution_Low_Value*eo.replacement_fraction*eo.impact_on_disadvantaged_population_fraction*NPV_multiplier
+            bar_data.append(['sNPV Low '+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), low_sNPV])
+            bar_color = colors[divmod(2, len(colors))[1]]
+            high_sNPV = eo.Pollution_High_Value*eo.replacement_fraction*eo.impact_on_disadvantaged_population_fraction*NPV_multiplier
+            bar_data.append(['sNPV High '+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), high_sNPV])
+
+            text = ('Rep. Frac.: {0:.0f}%'.format(eo.replacement_fraction*100)
+                    +', sNPV Low: {0}'.format(format_long_dollar_string(low_sNPV))
+                    +', sNPV High {0}'.format(format_long_dollar_string(high_sNPV))+'\n') 
+            report_templates += text
+
+        self.chart.draw_chart(bar_data)
+
+        self.desc.text += ' '.join(report_templates)
+        self.is_drawn = True
+
+
+    def generate_low_income_NPV_bar_chart(self, *args):
+        """Generates bar chart showing the total Net Present Value"""
+        bar_data = []
+
+        '''if len(self.chart_data) > len(PALETTE):
+            colors = PALETTE
+        else:
+            colors = sample(PALETTE, len(self.chart_data))'''
+        colors = PALETTE
+
+        self.title.text = "Low-Income sNPV"
+        self.desc.text = "Over a 20 year horizon the sotial Net Present Value (sNPV) in health benifits accrued to low-income people is calculated below. \n"
+        report_templates = ''
+        for ix, op in enumerate(self.chart_data, start=0):
+            label = op[0]
+            peaker_name = label.split(' | ')[1]
+            eo = op[1]
+
+            NPV_multiplier = float(-npf.pv(eo.discount_rate,20,1,0))
+            bar_color = colors[divmod(3, len(colors))[1]]
+            bar_data.append(['sNPV Low '+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), eo.Pollution_Low_Value*eo.replacement_fraction*eo.impact_on_low_income_population_fraction*NPV_multiplier])
+            bar_color = colors[divmod(4, len(colors))[1]]
+            bar_data.append(['sNPV High '+str(eo.replacement_fraction*100)+'%', rgba_to_fraction(bar_color), eo.Pollution_High_Value*eo.replacement_fraction*eo.impact_on_low_income_population_fraction*NPV_multiplier])
+
+            text = ('Rep. Frac.: {0:,.0f}%'.format(eo.replacement_fraction*100)
+                    +', sNPV Low: {0}'.format(format_long_dollar_string(eo.Pollution_Low_Value*eo.replacement_fraction*eo.impact_on_low_income_population_fraction*NPV_multiplier))
+                    +', sNPV High {0}'.format(format_long_dollar_string(eo.Pollution_High_Value*eo.replacement_fraction*eo.impact_on_low_income_population_fraction*NPV_multiplier))+'\n')
+            report_templates += text
+
+        self.chart.draw_chart(bar_data)
+
+        self.desc.text += ' '.join(report_templates)
+        self.is_drawn = True
+
+class PeakerRepGenerateReportMenu(ModalView):
+    host_report = None
+    graphics_locations = {}
+    report_id = None
+
+    def __init__(self, **kwargs):
+        super(PeakerRepGenerateReportMenu, self).__init__(**kwargs)
+
+        self.sm.transition = NoTransition()
+
+        self.report_id = datetime.datetime.now().strftime('%Y_%m_%d_%H%M%S')
+
+    def save_figure(self, screen, *args):
+        if not self.sm.has_screen(screen.name):
+            self.sm.add_widget(screen)
+
+        self.sm.current = screen.name
+
+        chart_images_dir = os.path.join('results', 'equity', 'report', self.report_id, 'images')
+        os.makedirs(chart_images_dir, exist_ok=True)
+
+        chart_save_location = os.path.join(chart_images_dir, 'chart_{n}.png'.format(n=screen.name))
+
+        Clock.schedule_once(partial(screen.chart.export_to_png, chart_save_location), 1.0)
+
+        # Save image name/path for report generator.
+        self.graphics_locations[screen.name] = os.path.join('images', 'chart_{n}.png'.format(n=screen.name))
+
+    def generate_report_screens(self):
+        screen_flip_interval = 1.2
+        n_charts = len(self.host_report.chart_types.items())
+
+        # Draw figures for saving to .png.
+        for ix, opt in enumerate(self.host_report.chart_types.items(), start=0):
+            chart_name = opt[1]
+            has_chart_status = self.host_report.has_chart(chart_name)
+            
+            if has_chart_status:
+                screen = PeakerRepReportScreen(type=chart_name, chart_data=self.host_report.chart_data, name=chart_name, do_animation=False)
+                Clock.schedule_once(partial(self.save_figure, screen), ix * screen_flip_interval)
+
+        self.generate_report_button.disabled = True
+
+        # Generate report.
+        Clock.schedule_once(lambda dt: self.generate_report_from_template(), (n_charts+1)*screen_flip_interval)
+    
+    def generate_executive_summary(self,eo,name):
+        """Generates an executive summary similar to the report screen using chart data."""
+        #eo = self.host_report.chart_data
+
+        total_cost = eo.cost_per_MWh_BESS * eo.energy_capacity + eo.cost_per_MW_BESS * eo.power_capacity + eo.fixed_cost_of_the_BESS + eo.cost_per_MW_PV_system * eo.pv_capacity + eo.fixed_cost_of_PV_system
+
+        executive_summary_strings = []
+
+        header_text = 'The following summarizes the results of the analysis to replace {replacement_fraction:,.0f}% of the energy of the {name} powerplant with a combenation of energy storage and PV. '.format(replacement_fraction=eo.replacement_fraction*100,name=name)
+        
+        executive_summary_strings.append(header_text)
+
+        sizing_text = ('The replacement system would need {0:,.0f} MW of PV, and a {1:,.0f} MW / {2:,.0f} MWh energy storage system. '.format(eo.pv_capacity,eo.power_capacity,eo.energy_capacity))
+ 
+        executive_summary_strings.append(sizing_text)
+
+        cost_text = ('The PV would cost roughly {0} and the es would cost roughly {1}, making the total capital cost estemate {2}.'.format(
+            format_long_dollar_string(eo.cost_per_MW_PV_system * eo.pv_capacity + eo.fixed_cost_of_PV_system),
+            format_long_dollar_string(eo.cost_per_MWh_BESS * eo.energy_capacity + eo.cost_per_MW_BESS * eo.power_capacity + eo.fixed_cost_of_the_BESS),
+            format_long_dollar_string(total_cost)
+        ))
+
+        executive_summary_strings.append(cost_text)
+
+        health_text = ('This system would provide between {0} and {1} in health benefits to people living in the U.S. per year.'.format(
+            format_long_dollar_string(eo.Pollution_Low_Value),
+            format_long_dollar_string(eo.Pollution_High_Value),
+        ))
+
+        executive_summary_strings.append(health_text)
+
+        NPV_multiplier = float(-npf.pv(eo.discount_rate,20,1,0))
+        Helth_Ave = eo.replacement_fraction*(eo.Pollution_Low_Value+eo.Pollution_High_Value)/2
+        SCC = eo.CO2_emissions*eo.replacement_fraction*eo.cost_per_ton_of_CO2
+        scc_text = ('The system would prevent {0:,.0f} tons of carbon emmisions each year. Assuming a Sotial Cost of Carbon (SCC) of {1}, this would provide roughly {2} in climate benifits per year.'.format(
+            (eo.CO2_emissions*eo.replacement_fraction),
+            format_long_dollar_string(eo.cost_per_ton_of_CO2),
+            format_long_dollar_string(SCC),
+        ))
+
+        executive_summary_strings.append(scc_text)
+        
+        total_sNPV = (Helth_Ave+SCC)*NPV_multiplier
+        
+        sNPV_text = ('Assuming a 20 year time horizon, with a {0}% discount rate, this system would provide a sotial Net Present Value (sNPV) of {1} for the health benifits and {2} for the climate benifits adding up to a toal sNPV of {3}.'.format(
+        eo.discount_rate*100,
+        format_long_dollar_string(Helth_Ave*NPV_multiplier), 
+        format_long_dollar_string(SCC*NPV_multiplier), 
+        format_long_dollar_string(total_sNPV) 
+        ) )
+
+        executive_summary_strings.append(sNPV_text)
+
+        low_sNPV = eo.replacement_fraction*eo.Pollution_Low_Value*eo.impact_on_disadvantaged_population_fraction*NPV_multiplier
+        high_sNPV = eo.replacement_fraction*eo.Pollution_High_Value*eo.impact_on_disadvantaged_population_fraction*NPV_multiplier
+        disad_text = ('Where {0:.1f}% of the U.S. population live in disadvantaged communities, {1:.1f}% of the health benifits would be accrued to people living in disadvantaged communities. This means an estemated sNPV between {2} and {3} would go to disadvantaged communities.'.format(
+                    eo.disadvantaged_population_fraction*100,
+                    eo.impact_on_disadvantaged_population_fraction*100,
+                    format_long_dollar_string(low_sNPV),
+                    format_long_dollar_string(high_sNPV)
+        ))
+
+        executive_summary_strings.append(disad_text)
+
+        low_sNPV = eo.replacement_fraction*eo.Pollution_Low_Value*eo.impact_on_low_income_population_fraction*NPV_multiplier
+        high_sNPV = eo.replacement_fraction*eo.Pollution_High_Value*eo.impact_on_low_income_population_fraction*NPV_multiplier
+        low_income_text = ('Where {0:.1f}% of the U.S. population have incomes below 200% of the poverty line, {1:.1f}% of the health benifits would be accrued to people with incomes below 200% of the poverty line. This means an estemated sNPV between {2} and {3} would go to people with low incomes.'.format(
+                    eo.low_income_population_fraction*100,
+                    eo.impact_on_low_income_population_fraction*100,
+                    format_long_dollar_string(low_sNPV),
+                    format_long_dollar_string(high_sNPV)
+        ))
+
+        executive_summary_strings.append(low_income_text)
+
+        return executive_summary_strings
+
+    def generate_report_from_template(self):
+        # Get current date.
+        now = datetime.datetime.now()
+        today = now.strftime("%B %d, %Y")
+
+        op_handler_requests = self.host_report.report_attributes
+        path = op_handler_requests['plant_data']['path']
+        with open(path) as f:
+            plant_dispatch_json = json.load(f)
+        plant_name = plant_dispatch_json['Name']
+        plant_state = plant_dispatch_json['State']
+        plant_county = plant_dispatch_json['County']
+
+        # Get report-specific data.
+        chart_types = self.host_report.chart_types
+        chart_list = []
+        chart_ix = 1
+
+        for chart_caption, chart_type in chart_types.items():
+            if self.host_report.has_chart(chart_type):
+                chart_info = {}
+                chart_info['path'] = self.graphics_locations[chart_type]
+                chart_info['ix'] = chart_ix
+                chart_info['caption'] = chart_caption
+
+                chart_list.append(chart_info)
+                chart_ix += 1
+
+        template_dir = os.path.join('es_gui', 'resources', 'report_templates')
+        output_dir_name = self.report_id
+
+        output_dir = os.path.join('results', 'equity', 'report', output_dir_name)
+        os.makedirs(output_dir, exist_ok=True)
+
+        executive_summaries = []
+        plt.figure(figsize=(3, 2), dpi=80)
+        for ix, op in enumerate(self.host_report.chart_data, start=0):
+            eo = op[1]
+            if ix == 0:
+                plt.plot(range(eo.n),np.sort(eo.plant_dispatch),linewidth=3)
+            
+            new_plant_dispatch = np.zeros(eo.n)
+            if eo.flexible_dispatch == True:
+                for i in range(eo.n):
+                    if eo.plant_dispatch[i] > 0:
+                        new_plant_dispatch[i] = max(eo.plant_dispatch[i] + eo.pe_d[i] + eo.pe_c[i] - eo.pv_capacity*eo.pv_profile[i],0)
+            if eo.fixed_dispatch == True:
+                for i in range(eo.n):
+                    if eo.plant_dispatch[i] > 0:
+                        if eo.plant_dispatch[i] > - eo.pe_d[i] - eo.pe_c[i] + eo.pv_capacity*eo.pv_profile[i]:
+                            new_plant_dispatch[i] = eo.plant_dispatch[i] 
+            
+            plt.plot(range(eo.n),np.sort(new_plant_dispatch),label=str(100*eo.replacement_fraction) +'% replacement', linewidth=2)
+            executive_summaries.append(self.generate_executive_summary(eo,plant_name))
+        
+        plt.ylabel('MW')
+        plt.xlabel('sorted time (hours)')
+        plt.title('Powerplant Power (MW)')
+        plt.legend(bbox_to_anchor=(1.02, 0.5), loc="center left", borderaxespad=0, shadow=False, labelspacing=1.8)
+
+        distribution_chart_file = os.path.join(output_dir,'images', 'distribution_chart.png')
+        plt.savefig( distribution_chart_file, facecolor='white' )
+
+        results_data = dict()
+        results_data['plant_data'] = op_handler_requests['plant_data']
+        results_data['analysis_params'] = op_handler_requests['param desc']
+
+        plt.figure(figsize=(3, 2), dpi=80)
+        ax = plt.subplot(111)
+        max_total_cost = 0
+        max_total_pollution_high = 0
+        SCALE = 1000000
+        iii = 0
+        #this loop finds max_total_cost and max_total_pollution_high to use in sizing following plots 
+        for ix, op in enumerate(self.host_report.chart_data, start=0):
+            eo = op[1]            
+            pv_cost =  eo.cost_per_MW_PV_system * eo.pv_capacity + eo.fixed_cost_of_PV_system
+            ess_cost = eo.cost_per_MWh_BESS * eo.energy_capacity + eo.cost_per_MW_BESS * eo.power_capacity + eo.fixed_cost_of_the_BESS
+            total_cost = pv_cost + ess_cost
+            if total_cost  >max_total_cost:
+                max_total_cost = total_cost
+            total_pollution_low = (eo.Pollution_Low_Value + eo.cost_per_ton_of_CO2*eo.CO2_emissions)*eo.replacement_fraction
+            total_pollution_high = (eo.Pollution_High_Value + eo.cost_per_ton_of_CO2*eo.CO2_emissions)*eo.replacement_fraction
+            if total_pollution_high > max_total_pollution_high:
+                max_total_pollution_high = total_pollution_high
+
+        # payback sROI lines
+        slope_5_year = -1/npf.pv(eo.discount_rate,5,1,0)
+        slope_10_year = -1/npf.pv(eo.discount_rate,10,1,0)
+        slope_15_year = -1/npf.pv(eo.discount_rate,15,1,0)
+        slope_20_year = -1/npf.pv(eo.discount_rate,20,1,0)
+
+        capital_range_5y  = 1.2*min(max_total_pollution_high/slope_5_year,max_total_cost)
+        capital_range_10y = 1.2*min(max_total_pollution_high/slope_10_year,max_total_cost)
+        capital_range_15y = 1.2*min(max_total_pollution_high/slope_15_year,max_total_cost)
+        capital_range_20y = 1.2*min(max_total_pollution_high/slope_20_year,max_total_cost)
+
+        payback_after_5_years  = capital_range_5y*slope_5_year 
+        payback_after_10_years = capital_range_10y*slope_10_year 
+        payback_after_15_years = capital_range_15y*slope_15_year 
+        payback_after_20_years = capital_range_20y*slope_20_year 
+
+        ax.plot([0,capital_range_5y/SCALE],[0,payback_after_5_years/SCALE],label='5 year sROI @'+str(100*eo.discount_rate)+'%',linewidth=0.5,color=[0,0.1,0])
+        ax.plot([0,capital_range_10y/SCALE],[0,payback_after_10_years/SCALE],label='10 year sROI @'+str(100*eo.discount_rate)+'%',linewidth=0.5,color=[0,0.3,0])
+        ax.plot([0,capital_range_15y/SCALE],[0,payback_after_15_years/SCALE],label='15 year sROI @'+str(100*eo.discount_rate)+'%',linewidth=0.5,color=[0,0.7,0])
+        ax.plot([0,capital_range_20y/SCALE],[0,payback_after_20_years/SCALE],label='20 year sROI @'+str(100*eo.discount_rate)+'%',linewidth=0.5,color=[0,0.9,0])
+
+        for ix, op in enumerate(self.host_report.chart_data, start=0):
+            eo = op[1]            
+            pv_cost =  eo.cost_per_MW_PV_system * eo.pv_capacity + eo.fixed_cost_of_PV_system
+            ess_cost = eo.cost_per_MWh_BESS * eo.energy_capacity + eo.cost_per_MW_BESS * eo.power_capacity + eo.fixed_cost_of_the_BESS
+            total_cost = pv_cost + ess_cost
+            total_pollution_low = (eo.Pollution_Low_Value + eo.cost_per_ton_of_CO2*eo.CO2_emissions)*eo.replacement_fraction
+            total_pollution_high = (eo.Pollution_High_Value + eo.cost_per_ton_of_CO2*eo.CO2_emissions)*eo.replacement_fraction
+
+            color = PALETTE[divmod(iii, len(PALETTE))[1]]
+            text_size = 4*total_cost/max_total_cost
+            line_width = 4*total_cost/max_total_cost
+            ax.plot([total_cost/SCALE,total_cost/SCALE],[total_pollution_low/SCALE,total_pollution_high/SCALE],label='Low to High Est. R.F. ' +str(100*eo.replacement_fraction) + '%',linewidth=line_width,color=rgba_to_fraction(color))
+            ax.text(total_cost/(SCALE),(total_pollution_low/SCALE - max_total_pollution_high*0.05/SCALE),'100%',horizontalalignment='center', verticalalignment='center', size=text_size,color=rgba_to_fraction(color))
+            for qq in range(1,10):
+                dev = 0.1*qq
+                ax.plot([total_cost*dev/(SCALE),total_cost*dev/(SCALE)],[total_pollution_low/SCALE,total_pollution_high/SCALE],linewidth=line_width*dev,color=rgba_to_fraction(color))
+                ax.text(total_cost*dev/(SCALE),(total_pollution_low/SCALE - max_total_pollution_high*0.05/SCALE),'{0:.0f}%'.format(100*dev),horizontalalignment='center', verticalalignment='center', size=text_size,color=rgba_to_fraction(color))
+            
+            results_rp_string = 'results_for_replacement_fraction_{0:.2f}'.format(eo.replacement_fraction)
+            results_data[results_rp_string] = {}
+            results_data[results_rp_string]['energy_capacity'] = eo.energy_capacity
+            results_data[results_rp_string]['energy_capacity'] = eo.energy_capacity
+            results_data[results_rp_string]['power_capacity'] = eo.power_capacity
+            results_data[results_rp_string]['pv_capacity'] = eo.pv_capacity
+            results_data[results_rp_string]['soe'] = eo.soe
+            results_data[results_rp_string]['pe_c'] = eo.pe_c
+            results_data[results_rp_string]['pe_d'] = eo.pe_d
+            iii += 1
+
+
+
+        destination_file = os.path.join(output_dir, 'outputfile' + '.json')
+        with open(destination_file, 'w') as outfile:
+            json.dump(results_data, outfile)
+
+        
+        ax.set_ylabel('M$ / year in health and climate benefits \n and Sotial Return On Investment (sROI) thresholds')
+        ax.set_xlabel('M$ captial cost')
+        ax.set_title('Cost Benefit Analysis')
+        ax.legend(bbox_to_anchor=(1.02, 0.5), loc="center left", borderaxespad=0, shadow=False, labelspacing=1.8)
+
+        cost_benefit_chart_file = os.path.join(output_dir,'images', 'cost_benefit.png')
+        plt.savefig( cost_benefit_chart_file, facecolor='white' )
+
+
+        geojon_file = os.path.join(STATIC_HOME, GEOJSON)
+        with open(geojon_file) as f:
+            counties = json.load(f)
+
+        h_total_value = -plant_dispatch_json['COBRA_results']['Summary']['TotalHealthBenefitsValue_high']
+
+        ben_frac = {}
+        max_frac = 0
+        for impact in plant_dispatch_json['COBRA_results']['Impacts']:
+            FIPS = impact['FIPS']
+            #Shannon County, SD (FIPS code = 46113) was renamed Oglala Lakota County and assigned anew FIPS code (46102) effective in 2014.
+            if FIPS == '46102':
+                FIPS = '46113'
+            HV = -impact['C__Total_Health_Benefits_High_Value']
+            ben_frac[FIPS] = HV/h_total_value
+            if ben_frac[FIPS] > max_frac:
+                max_frac = ben_frac[FIPS] 
+
+        fig1 = plt.figure(figsize=(3, 2), dpi=80)
+        fig1.subplots_adjust(right=0.95)
+        ax = plt.subplot(111)
+        colormap = plt.cm.get_cmap('Greens')
+        colornorm = mpl.colors.Normalize(vmin=0, vmax=max_frac*100, clip=False)
+        n = len(counties['features'])
+        for ii in range(n):
+            FIPS = counties['features'][ii]['properties']['STATE'] + counties['features'][ii]['properties']['COUNTY']
+            #value = dis[FIPS] # set the color value to the % of disadvantaged within a county 
+            try:
+                value = ben_frac[FIPS]/max_frac 
+            except:
+                value = 0
+            for jj in range(len(counties['features'][ii]['geometry']['coordinates'])):
+                try:
+                    county_area = Polygon(counties['features'][ii]['geometry']['coordinates'][jj], False,edgecolor='black', facecolor=colormap(value),linewidth=0.25)
+                    ax.add_patch(county_area)
+                except:
+                    nnn = len(counties['features'][ii]['geometry']['coordinates'][jj])
+                    for kk in range(nnn):
+                        county_area = Polygon(counties['features'][ii]['geometry']['coordinates'][jj][kk], False,edgecolor='black', facecolor=colormap(value),linewidth=0.25)
+                        ax.add_patch(county_area)
+        ax.set_xlim(-130,-60)
+        ax.set_ylim(20,55)
+        ax.plot(plant_dispatch_json["lon"],plant_dispatch_json["lat"],"o",color='gold',markersize=1)
+        ax.text(plant_dispatch_json["lon"],plant_dispatch_json["lat"]-0.05*35,plant_name,size=6,color='gold',horizontalalignment='center', verticalalignment='center')
+
+        plt.axis('off')
+        plt.title('% of Health Benefits That will go to Each US County')
+        
+        divider = make_axes_locatable(ax)
+        cax = divider.append_axes('right', size='5%', pad='1%')
+        im = plt.cm.ScalarMappable(norm=colornorm, cmap=colormap)
+        fig1.colorbar(im, cax=cax, orientation='vertical')
+
+        benefit_map_file = os.path.join(output_dir,'images', 'benefit_map.png')
+        plt.savefig( benefit_map_file, facecolor='white' )
+
+            
+        # Initialize Jinja environment.
+        env = Environment(loader=FileSystemLoader(template_dir), autoescape=select_autoescape(['html']))
+        if eo.flexible_dispatch == True:
+            template = env.get_template('powerplant_replacement_report_flexible.html')
+        if eo.fixed_dispatch == True:
+            template = env.get_template('powerplant_replacement_report_fixed.html')
+        fname = os.path.join(output_dir, 'powerplant_replacement_report.html')
+
+        # Render output file.
+        output = template.render(
+                        # GENERAL OUTPUT
+                        today=today,
+                        header="This report shows the results from optimizations performed by QuESt Equity.",
+                        powerplant_name=plant_name, 
+                        plant_state=plant_state,
+                        plant_county=plant_county,
+                        nameplate_capacity = plant_dispatch_json['NameplateCapacity'],
+                        fuel_category = plant_dispatch_json['FuelCategory'],
+                        capacity_factor = plant_dispatch_json['CapacityFactor'],
+                        year = plant_dispatch_json['year'],
+                        QuESt_Logo=os.path.join('..', 'images', 'static', 'Quest_Logo_RGB.png'),
+                        SNL_image=os.path.join('..', 'images', 'static', 'SNL.png'),
+                        DOE_image=os.path.join('..', 'images', 'static', 'DOE.png'),
+                        discount_rate               = eo.discount_rate*100,
+                        cost_per_ton_of_CO2         = eo.cost_per_ton_of_CO2,
+                        cost_per_MW_PV_system       = eo.cost_per_MW_PV_system,
+                        fixed_cost_of_PV_system     = eo.fixed_cost_of_PV_system,
+                        cost_per_MW_BESS            = eo.cost_per_MW_BESS,
+                        cost_per_MWh_BESS           = eo.cost_per_MWh_BESS,
+                        fixed_cost_of_the_BESS      = eo.fixed_cost_of_the_BESS,
+                        energy_efficiency           = eo.energy_efficiency*100,
+                        acknowledgement="Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.",
+                        executive_summaries=executive_summaries,					 
+                        # FIGURES
+                        charts=chart_list,
+                        distribution_chart=os.path.join('images', 'distribution_chart.png'),
+                        cost_benefit_chart_file=os.path.join('images', 'cost_benefit.png'),
+                        benefit_map_file=os.path.join('images', 'benefit_map.png')
+					)
+        
+        with open(fname,"w") as f:
+            f.write(output)
+
+        completion_popup = OpenGeneratedReportPopup()
+        completion_popup.report_filename = fname
+        completion_popup.open()
+
+
+class OpenGeneratedReportPopup(MyPopup):
+    report_filename = ''
+
+    def open_generated_report(self):
+        """Opens the generated report and dismisses the popup,"""
+        webbrowser.open('file://' + os.path.realpath(self.report_filename))
+        self.dismiss()
\ No newline at end of file
diff --git a/es_gui/apps/equity/results_viewer.py b/es_gui/apps/equity/results_viewer.py
new file mode 100644
index 00000000..d335018e
--- /dev/null
+++ b/es_gui/apps/equity/results_viewer.py
@@ -0,0 +1,379 @@
+from __future__ import absolute_import
+
+import os
+import textwrap
+import csv
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+
+import numpy as np
+import numpy_financial as npf
+
+import json
+
+import pandas as pd
+from matplotlib.patches import Polygon
+from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+from kivy.properties import ObjectProperty, BooleanProperty
+from kivy.uix.modalview import ModalView
+from kivy.core.window import Window
+
+from es_gui.resources.widgets.common import EquityResultsViewer,PALETTE, rgba_to_fraction
+
+STATIC_HOME = 'es_gui/apps/data_manager/_static'
+data_file_name = 'disadvantaged_pop_by_county_2010.csv'
+GEOJSON = "geojson-counties-fips.json"
+
+class PowerPlantResultsViewer(EquityResultsViewer):
+    """The screen for displaying plots inside the application or exporting results."""
+    current_fig = ObjectProperty()
+    current_ax = ObjectProperty()
+
+    def __init__(self, **kwargs):
+        super(PowerPlantResultsViewer, self).__init__(**kwargs)
+
+        self.dfs = {}
+        self.run_medidata = {}
+
+        self.time_selector.start_time.bind(on_text_validate=self.draw_figure)
+        self.time_selector.end_time.bind(on_text_validate=self.draw_figure)
+
+    def on_pre_enter(self):
+        #Window.bind(on_key_down=self._on_keyboard_down)
+
+        self._update_toolbar()
+
+        self.rv.data = self.manager.get_screen('equity_home').handler.get_solved_ops()
+
+        geojon_file = os.path.join(STATIC_HOME, GEOJSON)
+        with open(geojon_file) as f:
+            self.counties = json.load(f)
+
+        demographic_data_file_name = os.path.join(STATIC_HOME, data_file_name)
+
+        #with open(data_file_name) as csvf:
+        self.pop = {}
+        self.dis = {}
+        self.low = {}
+        self.total_pop = 0
+        self.total_dis = 0
+        self.total_low = 0
+        header = True
+        with open(demographic_data_file_name, newline='') as csvfile:
+            csv_file = csv.reader(csvfile, delimiter=',')
+            for row in csv_file:
+                if not header:
+                    ID = row[0]
+                    self.pop[ID] = float(row[1])
+                    self.dis[ID] = float(row[2])
+                    self.low[ID] = float(row[3])
+                    self.total_pop = self.total_pop + self.pop[ID]
+                    self.total_dis = self.total_dis + self.pop[ID]*self.dis[ID]
+                    self.total_low = self.total_low + self.pop[ID]*self.low[ID]
+                header = False
+
+    def _update_toolbar(self, *args):
+        """Updates the data viewing toolbar based on selections."""
+        super(PowerPlantResultsViewer, self)._update_toolbar(self)
+
+        vars_list = ['cost-benefit','plant dispatch', 'pv power', 'es power', 'es+pv power', 'state of energy', 'benefits map',
+        'disadvantage map', 'low-income map'
+        ]
+
+        self.vars_button.values = vars_list
+
+    def draw_figure(self, *args):
+        self._update_selection()
+
+        if not self._validate_inputs():
+            return
+
+        start_time, end_time = self.time_selector.get_inputs()
+        plot_type = self.vars_button.text
+        
+        results = self.dfs
+        power_plant_file = self.rv.data[0]['run_medidata']['path']
+        with open(power_plant_file) as f:
+            self.power_plant_data = json.load(f)
+        
+        '''total_disadvantaged_population = self.power_plant_data['health_impact_equity']['total_disadvantaged_population']
+        total_low_income_population = self.power_plant_data['health_impact_equity']['total_low_income_population']
+        disadvantaged_population_fraction = self.power_plant_data['health_impact_equity']['disadvantaged_population_fraction']
+        low_income_population_fraction = self.power_plant_data['health_impact_equity']['low_income_population_fraction']
+        total_impact_on_disadvantaged_population_low = self.power_plant_data['health_impact_equity']['total_impact_on_disadvantaged_population_low']
+        total_impact_on_disadvantaged_population_high = self.power_plant_data['health_impact_equity']['total_impact_on_disadvantaged_population_high']
+        total_impact_on_low_income_population_low = self.power_plant_data['health_impact_equity']['total_impact_on_low_income_population_low']
+        total_impact_on_low_income_population_high = self.power_plant_data['health_impact_equity']['total_impact_on_low_income_population_high']
+        impact_on_disadvantaged_population_fraction = self.power_plant_data['health_impact_equity']['impact_on_disadvantaged_population_fraction']
+        impact_on_low_income_population_fraction = self.power_plant_data['health_impact_equity']['impact_on_low_income_population_fraction']'''
+        Pollution_Low_Value = self.power_plant_data['COBRA_results']['Summary']['TotalHealthBenefitsValue_low']
+        Pollution_High_Value = self.power_plant_data['COBRA_results']['Summary']['TotalHealthBenefitsValue_high']
+
+        self._reinit_graph(has_legend=True)
+
+        fig = self.current_fig
+        ax = self.current_ax
+        ax.clear()
+        plt.axis('on')
+        plt.xticks(rotation=0)
+        plt.grid(True)
+
+        if plot_type == 'cost-benefit':
+            max_total_cost = 0
+            max_total_pollution_high = 0
+            SCALE = 1000000
+            iii = 0
+
+            for key in self.run_medidata:
+                replacement_fraction = self.run_medidata[key]['replacement_fraction']
+                
+                energy_capacity = self.run_medidata[key]['energy_capacity']
+                power_capacity = self.run_medidata[key]['power_capacity']
+                pv_capacity = self.run_medidata[key]['pv_capacity']
+                
+                pv_cost =  self.run_medidata[key]['cost_per_MW_PV_system'] * pv_capacity + self.run_medidata[key]['fixed_cost_of_PV_system']
+                ess_cost = self.run_medidata[key]['cost_per_MWh_BESS'] * energy_capacity + self.run_medidata[key]['cost_per_MW_BESS'] * power_capacity + self.run_medidata[key]['fixed_cost_of_the_BESS']
+                total_cost = pv_cost + ess_cost
+                if total_cost  >max_total_cost:
+                    max_total_cost = total_cost
+                total_pollution_low = (Pollution_Low_Value + self.run_medidata[key]['cost_per_ton_of_CO2']*self.power_plant_data['CO2_emissions'])*replacement_fraction
+                total_pollution_high = (Pollution_High_Value + self.run_medidata[key]['cost_per_ton_of_CO2']*self.power_plant_data['CO2_emissions'])*replacement_fraction
+                if total_pollution_high > max_total_pollution_high:
+                    max_total_pollution_high = total_pollution_high
+
+            # payback sROI lines
+            slope_5_year = -1/npf.pv(self.run_medidata[key]['discount_rate'],5,1,0)
+            slope_10_year = -1/npf.pv(self.run_medidata[key]['discount_rate'],10,1,0)
+            slope_15_year = -1/npf.pv(self.run_medidata[key]['discount_rate'],15,1,0)
+            slope_20_year = -1/npf.pv(self.run_medidata[key]['discount_rate'],20,1,0)
+
+            capital_range_5y  = 1.2*min(max_total_pollution_high/slope_5_year,max_total_cost)
+            capital_range_10y = 1.2*min(max_total_pollution_high/slope_10_year,max_total_cost)
+            capital_range_15y = 1.2*min(max_total_pollution_high/slope_15_year,max_total_cost)
+            capital_range_20y = 1.2*min(max_total_pollution_high/slope_20_year,max_total_cost)
+
+            payback_after_5_years  = capital_range_5y*slope_5_year 
+            payback_after_10_years = capital_range_10y*slope_10_year 
+            payback_after_15_years = capital_range_15y*slope_15_year 
+            payback_after_20_years = capital_range_20y*slope_20_year 
+
+            ax.plot([0,capital_range_5y/SCALE],[0,payback_after_5_years/SCALE],label='5 year sROI @'+str(100*self.run_medidata[key]['discount_rate'])+'%',linewidth=0.5,color=[0,0.1,0])
+            ax.plot([0,capital_range_10y/SCALE],[0,payback_after_10_years/SCALE],label='10 year sROI @'+str(100*self.run_medidata[key]['discount_rate'])+'%',linewidth=0.5,color=[0,0.3,0])
+            ax.plot([0,capital_range_15y/SCALE],[0,payback_after_15_years/SCALE],label='15 year sROI @'+str(100*self.run_medidata[key]['discount_rate'])+'%',linewidth=0.5,color=[0,0.7,0])
+            ax.plot([0,capital_range_20y/SCALE],[0,payback_after_20_years/SCALE],label='20 year sROI @'+str(100*self.run_medidata[key]['discount_rate'])+'%',linewidth=0.5,color=[0,0.9,0])
+
+            for key in self.run_medidata:
+                replacement_fraction = self.run_medidata[key]['replacement_fraction']
+                
+                energy_capacity = self.run_medidata[key]['energy_capacity']
+                power_capacity = self.run_medidata[key]['power_capacity']
+                pv_capacity = self.run_medidata[key]['pv_capacity']
+                
+                pv_cost =  self.run_medidata[key]['cost_per_MW_PV_system'] * pv_capacity + self.run_medidata[key]['fixed_cost_of_PV_system']
+                ess_cost = self.run_medidata[key]['cost_per_MWh_BESS'] * energy_capacity + self.run_medidata[key]['cost_per_MW_BESS'] * power_capacity + self.run_medidata[key]['fixed_cost_of_the_BESS']
+                total_cost = pv_cost + ess_cost
+
+                total_pollution_low = (Pollution_Low_Value + self.run_medidata[key]['cost_per_ton_of_CO2']*self.power_plant_data['CO2_emissions'])*replacement_fraction
+                total_pollution_high = (Pollution_High_Value + self.run_medidata[key]['cost_per_ton_of_CO2']*self.power_plant_data['CO2_emissions'])*replacement_fraction
+
+                color = PALETTE[divmod(iii, len(PALETTE))[1]]
+                text_size = 5*total_cost/max_total_cost
+                line_width = 7*total_cost/max_total_cost
+                ax.plot([total_cost/SCALE,total_cost/SCALE],[total_pollution_low/SCALE,total_pollution_high/SCALE],label='Low to High Est. R.F. ' +str(100*eo.replacement_fraction) + '%',linewidth=line_width,color=rgba_to_fraction(color))
+                ax.text(total_cost/(SCALE),(total_pollution_low/SCALE - max_total_pollution_high*0.05/SCALE),'100%',horizontalalignment='center', verticalalignment='center', size=text_size,color=rgba_to_fraction(color))
+                for qq in range(1,10):
+                    dev = 0.1*qq
+                    ax.plot([total_cost*dev/(SCALE),total_cost*dev/(SCALE)],[total_pollution_low/SCALE,total_pollution_high/SCALE],linewidth=line_width*dev,color=rgba_to_fraction(color))
+                    ax.text(total_cost*dev/(SCALE),(total_pollution_low/SCALE - max_total_pollution_high*0.05/SCALE),'{0:.0f}%'.format(100*dev),horizontalalignment='center', verticalalignment='center', size=text_size,color=rgba_to_fraction(color))
+                
+            ax.set_ylabel('M$ / year in health and climate benefits \n and Sotial Return On Investment (sROI) thresholds')
+            ax.set_xlabel('M$ captial cost')
+            ax.set_title('Cost Benefit Analysis')
+
+        if plot_type == 'plant dispatch':
+            for key in results:
+                df = results[key]
+                ax.plot((df['plant dispatch'])[start_time:end_time], drawstyle='steps-post', label=textwrap.fill(key, 50))
+
+            ax.set_ylabel('MW')
+            ax.set_xlabel('time (hours)')
+            ax.set_title('Peaker Dispatch Power (MW)')
+
+        elif plot_type == 'pv power':
+            for key in results:
+                df = results[key]
+                ax.plot((df['Ppv'])[start_time:end_time], drawstyle='steps-post', label=textwrap.fill(key, 50))
+
+            ax.set_ylabel('MW')
+            ax.set_xlabel('time (hours)')
+            ax.set_title('PV Power (MW)')
+        
+        elif plot_type == 'es power':
+            for key in results:
+                df = results[key]
+                ax.plot((df['es power'])[start_time:end_time], drawstyle='steps-post', label=textwrap.fill(key, 50))
+
+            ax.set_ylabel('MW')
+            ax.set_xlabel('time (hours)')
+            ax.set_title('ES Power (MW)')
+
+        elif plot_type == 'es+pv power':
+            for key in results:
+                df = results[key]
+                ax.plot((df['es+pv power'])[start_time:end_time], drawstyle='steps-post', label=textwrap.fill(key, 50))
+
+            ax.set_ylabel('MW')
+            ax.set_xlabel('time (hours)')
+            ax.set_title('PV Power + ES Power (MW)')
+
+        elif plot_type == 'state of energy':
+            for key in results:
+                df = results[key]
+                ax.plot((df['state of energy'])[start_time:end_time], drawstyle='steps-post', label=textwrap.fill(key, 50))
+
+            ax.set_ylabel('MW')
+            ax.set_xlabel('time (hours)')
+            ax.set_title('State of Energy (MWh)')
+
+        elif plot_type == 'benefits map':
+            l_value_to_dis_per_county = []
+            h_value_to_dis_per_county = []
+            l_value_to_low_per_county = []
+            h_value_to_low_per_county = []
+
+            l_total_value = -self.power_plant_data['COBRA_results']['Summary']['TotalHealthBenefitsValue_low']
+            h_total_value = -self.power_plant_data['COBRA_results']['Summary']['TotalHealthBenefitsValue_high']
+
+            ben_frac = {}
+            max_frac = 0
+            for impact in self.power_plant_data['COBRA_results']['Impacts']:
+                FIPS = impact['FIPS']
+                #Shannon County, SD (FIPS code = 46113) was renamed Oglala Lakota County and assigned anew FIPS code (46102) effective in 2014.
+                if FIPS == '46102':
+                    FIPS = '46113'
+                LV = -impact['C__Total_Health_Benefits_Low_Value']
+                HV = -impact['C__Total_Health_Benefits_High_Value']
+                ben_frac[FIPS] = HV/h_total_value
+                if ben_frac[FIPS] > max_frac:
+                    max_frac = ben_frac[FIPS] 
+                l_value_to_dis_per_county.append(self.dis[FIPS]*LV)
+                h_value_to_dis_per_county.append(self.dis[FIPS]*HV)
+                l_value_to_low_per_county.append(self.low[FIPS]*LV)
+                h_value_to_low_per_county.append(self.low[FIPS]*HV)
+
+            print('low estemate of total health benfits  : $' + str(l_total_value))
+            print('high estemate of total health benfits : $' + str(h_total_value))
+
+            print('% of total population in disadvantaged comunities :' + str(self.total_dis/self.total_pop))
+            print('% of total health benfits to disadvantaged comunities :' + str(sum(l_value_to_dis_per_county)/l_total_value))
+            print('% of total population that is low income (<200% of poverty):' + str(self.total_low/self.total_pop))
+            print('% of total health benfits to low income (<200% of poverty):' + str(sum(l_value_to_low_per_county)/l_total_value))
+
+            colormap = plt.cm.get_cmap('Greens')
+            colornorm = mpl.colors.Normalize(vmin=0, vmax=max_frac*100, clip=False)
+            n = len(self.counties['features'])
+            for ii in range(n):
+                FIPS = self.counties['features'][ii]['properties']['STATE'] + self.counties['features'][ii]['properties']['COUNTY']
+                #value = dis[FIPS] # set the color value to the % of disadvantaged within a county 
+                try:
+                    value = ben_frac[FIPS]/max_frac 
+                except:
+                    value = 0
+                for jj in range(len(self.counties['features'][ii]['geometry']['coordinates'])):
+                    try:
+                        county_area = Polygon(self.counties['features'][ii]['geometry']['coordinates'][jj], False,edgecolor='black', facecolor=colormap(value))
+                        ax.add_patch(county_area)
+                    except:
+                        nnn = len(self.counties['features'][ii]['geometry']['coordinates'][jj])
+                        for kk in range(nnn):
+                            county_area = Polygon(self.counties['features'][ii]['geometry']['coordinates'][jj][kk], False,edgecolor='black', facecolor=colormap(value))
+                            ax.add_patch(county_area)
+            ax.set_xlim(-130,-60)
+            ax.set_ylim(20,55)
+            ax.plot(self.power_plant_data["lon"],self.power_plant_data["lat"],"o",color='gold',markersize=1)
+            ax.text(self.power_plant_data["lon"],self.power_plant_data["lat"]-0.05*35,self.power_plant_data["Name"],size=6,color='gold',horizontalalignment='center', verticalalignment='center')
+
+            plt.axis('off')
+            plt.title('% of Health Benefits That will go to Each US County\n(only the first selected run is mapped)')
+            
+            divider = make_axes_locatable(ax)
+            cax = divider.append_axes('right', size='5%', pad=0.05)
+            im = plt.cm.ScalarMappable(norm=colornorm, cmap=colormap)
+            fig.colorbar(im, cax=cax, orientation='vertical')
+
+        elif plot_type == 'disadvantage map':
+            colormap = plt.cm.get_cmap('Oranges')
+            colornorm = mpl.colors.Normalize(vmin=0, vmax=100, clip=False)
+            n = len(self.counties['features'])
+            for ii in range(n):
+                FIPS = self.counties['features'][ii]['properties']['STATE'] + self.counties['features'][ii]['properties']['COUNTY']
+                #value = dis[FIPS] # set the color value to the % of disadvantaged within a county 
+                try:
+                    value = self.dis[FIPS]
+                except:
+                    value = 0
+                for jj in range(len(self.counties['features'][ii]['geometry']['coordinates'])):
+                    try:
+                        county_area = Polygon(self.counties['features'][ii]['geometry']['coordinates'][jj], False,edgecolor='black', facecolor=colormap(value))
+                        ax.add_patch(county_area)
+                    except:
+                        nnn = len(self.counties['features'][ii]['geometry']['coordinates'][jj])
+                        for kk in range(nnn):
+                            county_area = Polygon(self.counties['features'][ii]['geometry']['coordinates'][jj][kk], False,edgecolor='black', facecolor=colormap(value))
+                            ax.add_patch(county_area)
+            ax.set_xlim(-130,-60)
+            ax.set_ylim(20,55)
+            plt.axis('off')
+            plt.title('% of Each US County that Lives in a Disadvantaged Community (justice40 data)\n(only the first selected run is mapped)')
+            
+            divider = make_axes_locatable(ax)
+            cax = divider.append_axes('right', size='5%', pad=0.05)
+            im = plt.cm.ScalarMappable(norm=colornorm, cmap=colormap)
+            fig.colorbar(im, cax=cax, orientation='vertical')
+
+        elif plot_type == 'low-income map':
+            colormap = plt.cm.get_cmap('Blues')
+            colornorm = mpl.colors.Normalize(vmin=0, vmax=100, clip=False)
+            n = len(self.counties['features'])
+            for ii in range(n):
+                FIPS = self.counties['features'][ii]['properties']['STATE'] + self.counties['features'][ii]['properties']['COUNTY']
+                #value = dis[FIPS] # set the color value to the % of disadvantaged within a county 
+                try:
+                    value = self.low[FIPS]
+                except:
+                    value = 0
+                for jj in range(len(self.counties['features'][ii]['geometry']['coordinates'])):
+                    try:
+                        county_area = Polygon(self.counties['features'][ii]['geometry']['coordinates'][jj], False,edgecolor='black', facecolor=colormap(value))
+                        ax.add_patch(county_area)
+                    except:
+                        nnn = len(self.counties['features'][ii]['geometry']['coordinates'][jj])
+                        for kk in range(nnn):
+                            county_area = Polygon(self.counties['features'][ii]['geometry']['coordinates'][jj][kk], False,edgecolor='black', facecolor=colormap(value))
+                            ax.add_patch(county_area)
+            ax.set_xlim(-130,-60)
+            ax.set_ylim(20,55)
+            plt.axis('off')
+            plt.title('% of Each US County With Income Below 200% of Poverty (justice40 data)\n(only the first selected run is mapped)')
+            
+            divider = make_axes_locatable(ax)
+            cax = divider.append_axes('right', size='5%', pad=0.05)
+            im = plt.cm.ScalarMappable(norm=colornorm, cmap=colormap)
+            fig.colorbar(im, cax=cax, orientation='vertical')
+
+        ax.legend(bbox_to_anchor=(1.02, 0.5), loc="center left", borderaxespad=0, shadow=False, labelspacing=1.8)
+
+        self.plotbox.children[0].draw()
+
+    def export_png(self):
+        """Exports currently displayed figure to .png file in specified location."""
+        outdir_root = os.path.join('results', 'equity', 'plots')
+
+        super(PowerPlantResultsViewer, self).export_png(outdir_root)
+
+    def export_csv(self):
+        """Exports selected DataFrames to .csv files in specified location."""
+        outdir_root = os.path.join('results', 'equity', 'csv')
+
+        super(PowerPlantResultsViewer, self).export_csv(outdir_root)

From 250ebc84bec7e31c312aa74ff183c7a58bbc73de Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:21:57 -0600
Subject: [PATCH 10/23] Add files via upload

---
 .../help_views/equity/analysis_param.png       | Bin 0 -> 140380 bytes
 .../equity/analysis_results_viewer.png         | Bin 0 -> 34308 bytes
 .../help_views/equity/dispatch_offset.png      | Bin 0 -> 151963 bytes
 es_gui/resources/help_views/equity/home.png    | Bin 0 -> 388273 bytes
 es_gui/resources/help_views/equity/report.png  | Bin 0 -> 121711 bytes
 es_gui/resources/help_views/equity/results.png | Bin 0 -> 82204 bytes
 .../help_views/equity/select_a_powerplant.png  | Bin 0 -> 63360 bytes
 7 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 es_gui/resources/help_views/equity/analysis_param.png
 create mode 100644 es_gui/resources/help_views/equity/analysis_results_viewer.png
 create mode 100644 es_gui/resources/help_views/equity/dispatch_offset.png
 create mode 100644 es_gui/resources/help_views/equity/home.png
 create mode 100644 es_gui/resources/help_views/equity/report.png
 create mode 100644 es_gui/resources/help_views/equity/results.png
 create mode 100644 es_gui/resources/help_views/equity/select_a_powerplant.png

diff --git a/es_gui/resources/help_views/equity/analysis_param.png b/es_gui/resources/help_views/equity/analysis_param.png
new file mode 100644
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From d7ab238453c15f9736fce5e0c25538c106a4a920 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:23:05 -0600
Subject: [PATCH 11/23] Add files via upload

added images
---
 .../images/Disadvantaged_Communities.png       | Bin 0 -> 633070 bytes
 es_gui/resources/images/Low_Income.png         | Bin 0 -> 689240 bytes
 .../resources/images/equity_process_flow.png   | Bin 0 -> 27040 bytes
 es_gui/resources/images/powerplant_rep.png     | Bin 0 -> 14575 bytes
 .../resources/images/powerplant_rep_fixed.png  | Bin 0 -> 16509 bytes
 .../images/powerplant_rep_flexible.png         | Bin 0 -> 16648 bytes
 6 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 es_gui/resources/images/Disadvantaged_Communities.png
 create mode 100644 es_gui/resources/images/Low_Income.png
 create mode 100644 es_gui/resources/images/equity_process_flow.png
 create mode 100644 es_gui/resources/images/powerplant_rep.png
 create mode 100644 es_gui/resources/images/powerplant_rep_fixed.png
 create mode 100644 es_gui/resources/images/powerplant_rep_flexible.png

diff --git a/es_gui/resources/images/Disadvantaged_Communities.png b/es_gui/resources/images/Disadvantaged_Communities.png
new file mode 100644
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From c2d9b58b8ece5f5773a3a28efe905463e73aa910 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:24:01 -0600
Subject: [PATCH 12/23] Add files via upload

added report templates
---
 .../report_templates/equity_head.html         | 161 ++++++++++++++
 .../powerplant_replacement_report_fixed.html  | 203 +++++++++++++++++
 ...owerplant_replacement_report_flexible.html | 210 ++++++++++++++++++
 3 files changed, 574 insertions(+)
 create mode 100644 es_gui/resources/report_templates/equity_head.html
 create mode 100644 es_gui/resources/report_templates/powerplant_replacement_report_fixed.html
 create mode 100644 es_gui/resources/report_templates/powerplant_replacement_report_flexible.html

diff --git a/es_gui/resources/report_templates/equity_head.html b/es_gui/resources/report_templates/equity_head.html
new file mode 100644
index 00000000..b847dfa3
--- /dev/null
+++ b/es_gui/resources/report_templates/equity_head.html
@@ -0,0 +1,161 @@
+<head>
+<!-- Fonts-->
+<link href="https://fonts.googleapis.com/css?family=Exo+2|Open+Sans" rel="stylesheet"> 
+
+<style>
+  body {
+    background-color: #005376;
+    font-family: 'Open Sans', sans-serif;
+    /* min-width: 900 px;
+    max-width: 1000 px; */
+  }
+
+  h1,
+  h2 {
+    color: #005376;
+    font-family: 'Exo 2', sans-serif;
+  }
+
+  h3 {
+    color: #84BD00;
+  }
+
+  div {
+    word-wrap: normal;
+  }
+
+  #page {
+    background-color: #FFFFFF;
+    /* border: 1px solid #000000; */
+    margin: 10px auto 10px auto;
+    padding: 10px 20px 10px 20px;
+    min-width: 900px;
+    max-width: 1000px;
+  }
+
+  #logo-header {
+    /* width: 800px; */
+    margin: 0px auto;
+  }
+
+  img.logo-header {
+    width: 300px;
+    display: block;
+    margin: 0px auto;
+  }
+
+  table,
+  th,
+  td {
+    border: 1px solid black;
+    border-collapse: collapse;
+  }
+</style>
+
+<!-- Use MathJax to render mathematics -->
+<script type="text/x-mathjax-config">
+MathJax.Hub.Config({
+  TeX: {
+     equationNumbers: {  autoNumber: "AMS"  },
+     extensions: ["AMSmath.js", "AMSsymbols.js", "autobold.js"]
+  }
+});
+</script>
+<script type="text/javascript"
+ src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
+</script>
+</head>
+
+
+<div id="page">
+<title>Report</title>
+
+<div id="logo-header">
+  <img src="{{ QuESt_Logo }}" alt="QuESt logo" class="logo-header" />
+</div>
+
+<center><h1>Energy Storage Equity Report</h1></center>
+
+<center><i>Autogenerated using QuESt Equity</i></center>
+<center><h4> {{ today }} </h4></center>
+
+
+{{ header }}
+
+<h2>Scenario Summary</h2>
+
+<b>Powerplant Name:</b> {{ powerplant_name }}
+<br />
+
+<b>Fuel Type:</b> {{ fuel_category }}
+<br />
+
+<b>Nameplate Capacity:</b> {{ nameplate_capacity }}
+<br />
+
+<b>Capacity Factor:</b> {{ capacity_factor }}
+<br />
+
+<b>Powerplant State:</b> {{ plant_state }}
+<br />
+
+<b>Powerplant County:</b> {{ plant_county }}
+<br />
+
+<b>Dispatch Year:</b> {{ year }}
+<br />
+
+<br />
+
+
+<!-- ENERGY STORAGE PARAMETER VALUES -->
+The powerplant replacement analysis parameters are summarized in Table 1.
+<br />
+<br />
+
+
+<div align="center"> <!-- center content -->
+<table width="50%", class="center">
+  <tr>
+    <td> Discount Rate </td>
+    <td> {{ discount_rate }} </td>
+    <td> % </td>
+  </tr>
+  <tr>
+    <td> Cost per Ton of CO2 </td>
+    <td> {{ cost_per_ton_of_CO2 }} </td>
+    <td> $ </td>
+  </tr>
+  <tr>
+    <td> Cost per MW PV system </td>
+    <td> {{ cost_per_MW_PV_system }} </td>
+    <td> $ </td>
+  </tr>
+  <tr>
+    <td> Fixed Cost of PV system </td>
+    <td> {{ fixed_cost_of_PV_system }} </td>
+    <td> $ </td>
+  </tr>
+  <tr>
+    <td> Cost per MW ES </td>
+    <td> {{ cost_per_MW_BESS }} </td>
+    <td> $ </td>
+  </tr>
+  <tr>
+    <td> Cost per MWh ES </td>
+    <td> {{ cost_per_MWh_BESS }} </td>
+    <td> $ </td>
+  </tr>
+  <tr>
+    <td> Fixed Cost of the ES </td>
+    <td> {{ fixed_cost_of_the_BESS }} </td>
+    <td> $ </td>
+  </tr>
+  <tr>
+    <td> Round-trip efficiency </td>
+    <td> {{ energy_efficiency }} </td>
+    <td> % </td>
+  </tr>
+</table>
+<h4>Table 1: Analysis Parameters</h4>
+</div>
\ No newline at end of file
diff --git a/es_gui/resources/report_templates/powerplant_replacement_report_fixed.html b/es_gui/resources/report_templates/powerplant_replacement_report_fixed.html
new file mode 100644
index 00000000..eab76382
--- /dev/null
+++ b/es_gui/resources/report_templates/powerplant_replacement_report_fixed.html
@@ -0,0 +1,203 @@
+<!DOCTYPE html>
+<html>
+
+
+{% include "equity_head.html" ignore missing %}
+
+<h3>Pre-Processing</h3>
+The analysis was performed based on an assumption of fixed dispatch meaning that the es+pv must produce more power than the powerplant at a given time to reduce its output.
+For fractional replacement, the dispatch profile is sorted, then the power for the associated energy fraction is identified. 
+All dispatch above this power level is then set to zero in a new filtered dispatch signal. 
+Figure P1 shows the original dispatch and the filtered dispatch for each replacement  scenario.
+
+<div align="center">
+  <img src="{{distribution_chart}}", class="center" width="80%">
+  <h3>Fig. P1: Sorted Power Distrobution </h3>
+  </div>
+
+<h2>Optimization formulation</h2>
+
+We solve the following mathematical optimization problem to minimize the capital cost of energy storage and photovoltaic (PV) systems, and the notation is described in Table 2 below. 
+
+<!-- Powerplant Replacement -->
+
+\begin{align}
+\min_{\mathbf{x} \in \mathbb{R}^{3n+4}} & C_{\text{BESS}}^{\text{MWh}} E_{\text{BESS}} + C_{\text{BESS}}^{\text{MW}} P_{\text{BESS}} + C_{\text{PV}}^{\text{MW}}P_{\text{PV}} 
+\end{align} 
+
+<br />
+subject to the following constraints
+<br />
+\begin{align}
+P_{PV} \mathbf{p}_{pv} + \mathbf{p}^- + \mathbf{p}^+  \geq \mathbf{p}_{\text{plant}} \\
+\mathbf{D} \mathbf{\varsigma} = \mathbf{p}^- + \eta \mathbf{p}^+ \\
+ [\mathbf{0}] \leq \mathbf{\varsigma} \leq  E_{\text{BESS}}[\mathbf{1}]  \\
+\mathbf{p}^+ - \mathbf{p}^- \leq P_{\text{BESS}}[\mathbf{1}]  \\
+\mathbf{\varsigma}_{[0]} = \mathbf{\varsigma}_{[n]} = E_{\text{BESS}} 
+\end{align}
+<br />
+where 
+\begin{align}
+\mathbf{D} =& \frac{1}{\Delta t}\left[\begin{array}{cccccc}
+-1 & 1 & 0 & . & . & 0\\
+0 & -1 & 1 & 0 & . & .\\
+ &  & . & .\\
+ &  &  & . & .\\
+0 &  &  & 0 & -1 & 1
+\end{array}\right]_{n\times (n+1)}
+\end{align}
+
+<div align="center"> <!-- center content -->
+<table width="70%", class="center">
+  <tr>
+    <th>Parameter</th>
+    <th>Description</th> 
+    <th>Units</th>
+  </tr>
+  <tr>
+    <td>\( \mathbf{p}_{\text{plant}} \) </td>
+    <td> Vector of powerplant dispatch, filtered per fractional replacement, at each time step. </td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{p}_{pv} \) </td>
+    <td> Vector of PV power at each time step normalized to 1 per unit. </td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{p}^+ \) </td>
+    <td> Vector of ES charge power at each time step</td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{p}^- \) </td>
+    <td> Vector of ES discharge power at each time step </td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{\varsigma} \) </td>
+    <td>Vector of energy storage state of energy at each time step </td> 
+    <td> MWh </td>
+  </tr>
+  <tr>
+    <td>\(   P_{PV} \) </td>
+    <td>PV power rating</td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( P_{\text{BESS}} \) </td>
+    <td>ES power rating</td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( E_{\text{BESS}} \) </td>
+    <td> ES energy capacity</td> 
+    <td> MWh </td>
+  </tr>
+  <tr>
+    <td>\( \eta \) </td>
+    <td> Round-trip efficiency</td> 
+    <td> % </td>
+  </tr>
+  <tr>
+    <td>\( C_{\text{PV}}^{\text{MW}} \) </td>
+    <td> Cost per MW of the PV system</td> 
+    <td> % </td>
+  </tr>
+  <tr>
+    <td>\( C_{\text{BESS}}^{\text{MW}} \) </td>
+    <td> Cost per MW of the ES system</td> 
+    <td> % </td>
+  </tr>
+  <tr>
+    <td>\( C_{\text{BESS}}^{\text{MWh}} \) </td>
+    <td> Cost per MWh of the ES system </td> 
+    <td> % </td>
+  </tr>
+</table>
+<h4>Table 2: Notation</h4>
+</div>
+
+This optimization is formulated in Python using <a href="http://www.pyomo.org">Pyomo</a> and solved using the numerical solver selected in QuESt Valuation. 
+
+<h3>Assumptions</h3>
+The following assumptions were used:
+<ul>
+  <li> The time periods are hourly. </li>
+  <li> The ES system can only charge from PV, not from the grid. </li>
+  <li> The the ES+PV cannot partially reduce the output of the powerplant. To get credit for polution reduction the ES+PV must fully replace the output of the power plant at a given time step. </li>
+</ul>
+
+
+<h2>Summary of results</h2>
+{% for executive_summary in executive_summaries %}
+  <p>
+  {% for element in executive_summary %}
+    {{ element }}
+    <br />
+  {% endfor %}
+  <br />
+  </p>
+{% endfor %}
+
+Below is a map of the locations where the aggregate pollution reduction benefits are accrued. 
+Benefits are calculated based on changes in pollutant concentrations and on county populations. 
+Hence, the counties that benefit most are not necessarily those where the powerplant is located but are often the closest large population centers instead. 
+
+<div align="center"><!-- center content -->
+  <img src="{{benefit_map_file}}", class="center" width="80%">
+  <h3>Fig. R1: County Level Benifits Map </h3>
+</div>
+
+The following chart shows the capital cost (x-axis) and social benefits per year. 
+The social benefits are the sum of the climate benefits, calculated as the social cost of carbon times tons of carbon emissions avoided, and the health benefits which are the low to high range plotted as a vertical line. 
+The sloped lines represent, from most to least steep, a 5-year, 10-year, 15-year, and 20-year social return on investment (sROI). 
+These lines could also be seen as the points where the social net present value (sNPV) equals the capital cost after the specified period.
+The thinner lines reflected to the left marked 10% through 90% represent potential public-cost-share fractions. 
+This plot illustrates how much public investment in a powerplant replacement project would have a positive sROI. 
+If a local, state, or federal government is considering providing cost-share on a project that would offset the production of a powerplant, they would identify the relevant replacement scenario, and then move left to the cost-share fraction where the social benefits are above the sROI line for a desired time horizon. 
+
+<div align="center"><!-- center content -->
+  <img src="{{cost_benefit_chart_file}}", class="center" width="80%">
+  <h3>Fig. R2: Capital-Cost / Social Benefit Chart </h3>
+</div>
+
+<div align="center"><!-- center content -->
+<!-- Figures from wizard reporting screen -->
+  {% for chart in charts %}
+    <img src="{{ chart.path }}", class="center" width="80%">
+    <h3>Fig. {{ chart.ix }}: {{ chart.caption }}</h3>  
+  
+  {% endfor %}
+  </div>
+
+<h2> References </h2>  
+
+DOE OE Energy Storage Program: <a href="http://www.sandia.gov/ess/">www.sandia.gov/ess/</a>
+<br />
+
+EPA Power Plants and Neighboring Communities:<a href="https://www.epa.gov/airmarkets/power-plants-and-neighboring-communities">www.epa.gov/airmarkets/power-plants-and-neighboring-communities</a>
+<br />
+
+EPA CO-Benefits Risk Assessment Health Impacts Screening and Mapping Tool (COBRA): <a href="https://www.epa.gov/cobra">www.epa.gov/cobra</a>
+<br />
+
+EPA Field Audit Checklist Tool (FACT): <a href="https://www.epa.gov/airmarkets/field-audit-checklist-tool-fact">www.epa.gov/airmarkets/field-audit-checklist-tool-fact</a>
+<br />
+
+NREL PVWatts Calculator: <a href="https://pvwatts.nrel.gov/">pvwatts.nrel.gov/</a>
+<br />
+
+Climate and Economic Justice Screening Tool (From Justice40): <a href="https://screeningtool.geoplatform.gov/en/#3/33.47/-97.5">screeningtool.geoplatform.gov</a>
+
+<h2> Acknowledgements </h2>  
+
+{{ acknowledgement }}
+
+<br />
+<br />
+<img src="{{SNL_image}}" width="40%" align="middle"> &emsp; &emsp; &emsp; &emsp; <img src="{{DOE_image}}" width="15%" align="middle">
+
+</div>
+</body>
+</html>
diff --git a/es_gui/resources/report_templates/powerplant_replacement_report_flexible.html b/es_gui/resources/report_templates/powerplant_replacement_report_flexible.html
new file mode 100644
index 00000000..506adc88
--- /dev/null
+++ b/es_gui/resources/report_templates/powerplant_replacement_report_flexible.html
@@ -0,0 +1,210 @@
+<!DOCTYPE html>
+<html>
+
+{% include "equity_head.html" ignore missing %}
+
+<h2>Optimization formulation</h2>
+
+We solve the following mathematical optimization problem to minimize the capital cost of energy storage and photovoltaic (PV) systems, and the notation is described in Table 2 below. 
+
+<!-- Powerplant Replacement -->
+
+\begin{align}
+\min_{\mathbf{x} \in \mathbb{R}^{3n+4}} & C_{\text{BESS}}^{\text{MWh}} E_{\text{BESS}} + C_{\text{BESS}}^{\text{MW}} P_{\text{BESS}} + C_{\text{PV}}^{\text{MW}}P_{\text{PV}} + \Pi ||g||_1
+\end{align} 
+
+<br />
+subject to the following constraints
+<br />
+\begin{align}
+P_{PV} \mathbf{p}_{pv} + \mathbf{p}^- + \mathbf{p}^+  \geq \mathbf{p}_{\text{plant}} \mathbf{g} \,\,\, \forall i \in P_{\text{plant}}\\
+\mathbf{D} \mathbf{\varsigma} = \mathbf{p}^- + \eta \mathbf{p}^+ \\
+ [\mathbf{0}] \leq \mathbf{\varsigma} \leq  E_{\text{BESS}}[\mathbf{1}]  \\
+\mathbf{p}^+ - \mathbf{p}^- \leq P_{\text{BESS}}[\mathbf{1}]  \\
+\mathbf{\varsigma}_{[0]} = \mathbf{\varsigma}_{[n]} = E_{\text{BESS}} \\
+\mathbf{p}_{\text{plant}}^\top \mathbf{g} \geq \rho ||\mathbf{p}_{\text{plant}}||_1 \,\,\, \forall i \in P_{\text{plant}}\\
+\end{align}
+<br />
+where 
+\begin{align}
+\mathbf{D} =& \frac{1}{\Delta t}\left[\begin{array}{cccccc}
+-1 & 1 & 0 & . & . & 0\\
+0 & -1 & 1 & 0 & . & .\\
+ &  & . & .\\
+ &  &  & . & .\\
+0 &  &  & 0 & -1 & 1
+\end{array}\right]_{n\times (n+1)}
+\end{align}
+
+<div align="center"> <!-- center content -->
+<table width="70%", class="center">
+  <tr>
+    <th>Parameter</th>
+    <th>Description</th> 
+    <th>Units</th>
+  </tr>
+  <tr>
+    <td>\( \mathbf{p}_{pv} \) </td>
+    <td> Vector of PV power at each time step normalized to 1 per unit. </td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{p}^+ \) </td>
+    <td> Vector of ES charge power at each time step</td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{p}^- \) </td>
+    <td> Vector of ES discharge power at each time step </td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{\varsigma} \) </td>
+    <td>Vector of energy storage state of energy at each time step </td> 
+    <td> MWh </td>
+  </tr>
+  <tr>
+    <td>\( \mathbf{g} \) </td>
+    <td> Vector of fractional replacement values </td> 
+    <td> [0,1] </td>
+  </tr>
+  <tr>
+    <td>\( P_{\text{plant}} \) </td>
+    <td> The set of indecies, of size n', where the powerplant is producing power </td> 
+    <td> # </td>
+  </tr>
+  <tr>
+    <td>\(   P_{PV} \) </td>
+    <td>PV power rating</td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( P_{\text{BESS}} \) </td>
+    <td>ES power rating</td> 
+    <td> MW </td>
+  </tr>
+  <tr>
+    <td>\( E_{\text{BESS}} \) </td>
+    <td> ES energy capacity</td> 
+    <td> MWh </td>
+  </tr>
+  <tr>
+    <td>\( \eta \) </td>
+    <td> Round-trip efficiency</td> 
+    <td> % </td>
+  </tr>
+  <tr>
+    <td>\( C_{\text{PV}}^{\text{MW}} \) </td>
+    <td> Cost per MW of the PV system</td> 
+    <td> % </td>
+  </tr>
+  <tr>
+    <td>\( C_{\text{BESS}}^{\text{MW}} \) </td>
+    <td> Cost per MW of the ES system</td> 
+    <td> % </td>
+  </tr>
+  <tr>
+    <td>\( C_{\text{BESS}}^{\text{MWh}} \) </td>
+    <td> Cost per MWh of the ES system </td> 
+    <td> % </td>
+  </tr>
+  <tr>
+    <td>\( \Pi \) </td>
+    <td> Regularization weight for fractional replacement values </td> 
+    <td> none </td>
+  </tr>
+</table>
+<h4>Table 2: Notation</h4>
+</div>
+
+This optimization is formulated in Python using <a href="http://www.pyomo.org">Pyomo</a> and solved using the numerical solver selected in QuESt Valuation. 
+
+<h3>Assumptions</h3>
+The following assumptions were used:
+<ul>
+  <li> The time periods are hourly. </li>
+  <li> The ES system can only charge from PV, not from the grid. </li>
+  <li> The the ES+PV power reduces the output of the powerplant on a 1:1 ratio. </li>
+</ul>
+
+
+<h2>Summary of results</h2>
+{% for executive_summary in executive_summaries %}
+  <p>
+  {% for element in executive_summary %}
+    {{ element }}
+    <br />
+  {% endfor %}
+  <br />
+  </p>
+{% endfor %}
+
+The analysis assumes the powerplant is flexibly dispatched. 
+Below, Fig. R1 shows the powerplant's dispatch profile, sorted from low to high, before and after each fractional replacement scenario. 
+
+<div align="center"><!-- center content -->
+  <img src="{{distribution_chart}}", class="center" width="80%">
+  <h3>Fig. R1: Sorted Power Distrobution Before (baseline) and After ES+PV Installation </h3>
+</div>
+
+Below is a map of the locations where the aggregate pollution reduction benefits are accrued. 
+Benefits are calculated based on changes in pollutant concentrations and on county populations. 
+Hence, the counties that benefit most are not necessarily those where the powerplant is located but are often the closest large population centers instead. 
+
+<div align="center"><!-- center content -->
+  <img src="{{benefit_map_file}}", class="center" width="80%">
+  <h3>Fig. R2: County Level Benifits Map </h3>
+</div>
+
+The following chart shows the capital cost (x-axis) and social benefits per year. 
+The social benefits are the sum of the climate benefits, calculated as the social cost of carbon times tons of carbon emissions avoided, and the health benefits which are the low to high range plotted as a vertical line. 
+The sloped lines represent, from most to least steep, a 5-year, 10-year, 15-year, and 20-year social return on investment (sROI). 
+These lines could also be seen as the points where the social net present value (sNPV) equals the capital cost after the specified period.
+The thinner lines reflected to the left marked 10% through 90% represent potential public-cost-share fractions. 
+This plot illustrates how much public investment in a powerplant replacement project would have a positive sROI. 
+If a local, state, or federal government is considering providing cost-share on a project that would offset the production of a powerplant, they would identify the relevant replacement scenario, and then move left to the cost-share fraction where the social benefits are above the sROI line for a desired time horizon. 
+
+<div align="center"><!-- center content -->
+  <img src="{{cost_benefit_chart_file}}", class="center" width="80%">
+  <h3>Fig. R3: Capital-Cost / Social Benefit Chart </h3>
+</div>
+
+<div align="center"><!-- center content -->
+  <!-- Figures from wizard reporting screen -->
+  {% for chart in charts %}
+    <img src="{{ chart.path }}", class="center" width="80%">
+    <h3>Fig. {{ chart.ix }}: {{ chart.caption }}</h3>  
+  
+  {% endfor %}
+</div>
+
+<h2> References </h2>  
+
+DOE OE Energy Storage Program: <a href="http://www.sandia.gov/ess/">www.sandia.gov/ess/</a>
+<br />
+
+EPA Power Plants and Neighboring Communities:<a href="https://www.epa.gov/airmarkets/power-plants-and-neighboring-communities">www.epa.gov/airmarkets/power-plants-and-neighboring-communities</a>
+<br />
+
+EPA CO-Benefits Risk Assessment Health Impacts Screening and Mapping Tool (COBRA): <a href="https://www.epa.gov/cobra">www.epa.gov/cobra</a>
+<br />
+
+EPA Field Audit Checklist Tool (FACT): <a href="https://www.epa.gov/airmarkets/field-audit-checklist-tool-fact">www.epa.gov/airmarkets/field-audit-checklist-tool-fact</a>
+<br />
+
+NREL PVWatts Calculator: <a href="https://pvwatts.nrel.gov/">pvwatts.nrel.gov/</a>
+<br />
+
+Climate and Economic Justice Screening Tool (From Justice40): <a href="https://screeningtool.geoplatform.gov/en/#3/33.47/-97.5">screeningtool.geoplatform.gov</a>
+
+<h2> Acknowledgements </h2>  
+
+{{ acknowledgement }}
+
+<br />
+<br />
+<img src="{{SNL_image}}" width="40%" align="middle"> &emsp; &emsp; &emsp; &emsp; <img src="{{DOE_image}}" width="15%" align="middle">
+
+</div>
+</body>
+</html>

From 6c96302e39a92d2eddcac9d4ca569db3e36c9978 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:24:45 -0600
Subject: [PATCH 13/23] Add files via upload

updated the common.py and common.kv files
---
 es_gui/resources/widgets/common.kv | 155 ++++++++++++++-
 es_gui/resources/widgets/common.py | 305 +++++++++++++++++++++++++++++
 2 files changed, 455 insertions(+), 5 deletions(-)

diff --git a/es_gui/resources/widgets/common.kv b/es_gui/resources/widgets/common.kv
index 25e94ed4..794681c1 100644
--- a/es_gui/resources/widgets/common.kv
+++ b/es_gui/resources/widgets/common.kv
@@ -679,11 +679,6 @@
                         text: 'Select solved models to plot.'
                         size_hint_x: 0.85
 
-#                    TileButton:
-#                        text: 'Select all'
-#                        size_hint_x: 0.15
-#                        on_release: root._select_all_runs()
-
                     TileButton:
                         text: 'Deselect all'
                         size_hint_x: 0.15
@@ -731,6 +726,156 @@
                         text: 'Export PNG'
                         on_release: root.export_png()
 
+
+
+<EquityResultsViewer>:
+    name: 'equity_results_viewer'
+
+    rv: rv
+    plotbox: plotbox
+    plot_toolbar: plot_toolbar
+    vars_button: vars_button
+    draw_button: draw_button
+    csv_export_button: csv_export_button
+    png_export_button: png_export_button
+    time_selector: time_selector
+
+    BoxLayout:
+        orientation: 'vertical'
+        spacing: 5
+        padding: 10
+
+        BoxLayout:
+            id: plotbox
+            size_hint_y: 0.7
+
+        BoxLayout:
+            orientation: 'horizontal'
+            spacing: 5
+            size_hint_y: 0.3
+
+            BoxLayout:
+                orientation: 'vertical'
+                padding: 10
+                spacing: 5
+                size_hint_x: 0.8
+
+                BoxLayout:
+                    orientation: 'horizontal'
+                    size_hint_y: 0.15
+                    spacing: 5
+
+                    TitleTextBase:
+                        font_size: stnd_font
+                        text: 'Select solved models to plot.'
+                        size_hint_x: 0.85
+
+                    TileButton:
+                        text: 'Deselect all'
+                        size_hint_x: 0.15
+                        on_release: root._deselect_all_runs()
+
+                MyRecycleView:
+                    id: rv
+                    size_hint_y: 0.85
+                    viewclass: 'RecycleViewRow'
+
+                    SelectableRecycleBoxLayout:
+                        default_size: None, dp(80)
+                        spacing: 5
+                        multiselect: True
+                        touch_multiselect: True
+
+            PlotToolbar:
+                id: plot_toolbar
+                size_hint_x: 0.2
+
+                TileButton:
+                    id: draw_button
+                    text: 'Plot/Redraw'
+                    background_color: C(hex_secondary)
+                    on_release: root.draw_figure()
+
+                PlotSpinner:
+                    id: vars_button
+                    text: 'Select data'
+
+                EquityTimeSelectorRow:
+                    id: time_selector
+
+                BoxLayout:
+                    orientation: 'horizontal'
+                    spacing: 5
+
+                    TileButton:
+                        id: csv_export_button
+                        text: 'Export CSV'
+                        on_release: root.export_csv()
+
+                    TileButton:
+                        id: png_export_button
+                        text: 'Export PNG'
+                        on_release: root.export_png()
+
+<EquityTimeSelectorRow>:
+    rows: 1
+    spacing: (10, 0)
+    start_time: start_time
+    end_time: end_time
+
+    BodyTextBase:
+        text: 'Hours shown'
+        size_hint_x: 0.5
+
+    TimeTextInput:
+        id: start_time
+        text: '0'
+        hint_text: 'start'
+        size_hint_x: 0.25
+    TimeTextInput:
+        id: end_time
+        text: '8760'
+        hint_text: 'end'
+        size_hint_x: 0.25
+
+<EquityTimeSelector>:
+    title: 'Enter time range to display.'
+    size_hint: (0.25, 0.35)
+    start_time: start_time
+    end_time: end_time
+
+    BoxLayout:
+        orientation: 'vertical'
+        padding: 10
+        spacing: 5
+
+        GridLayout:
+            cols: 2
+            size_hint: (1.00, 0.80)
+            padding: (30, 15)
+            spacing: (10, 0)
+
+            Label:
+                text: 'Start'
+                font_size: stnd_font
+
+            Label:
+                text: 'End'
+                font_size: stnd_font
+
+            TimeTextInput:
+                id: start_time
+                text: '0'
+            TimeTextInput:
+                id: end_time
+                text: '8760'
+
+        Button:
+            text: 'Go!'
+            font_size: stnd_font
+            size_hint_y: 0.20
+            on_release: root._validate()
+
 <PlotToolbar@GridLayout>:
     cols: 1
     spacing: 5
diff --git a/es_gui/resources/widgets/common.py b/es_gui/resources/widgets/common.py
index 1ff62194..84f8c747 100644
--- a/es_gui/resources/widgets/common.py
+++ b/es_gui/resources/widgets/common.py
@@ -714,6 +714,311 @@ def insert_text(self, substring, from_undo=False):
         return super(TimeTextInput, self).insert_text(substring, from_undo=from_undo)
 
 
+class EquityResultsViewer(Screen):
+    """The screen for displaying plots inside the application or exporting results."""
+    current_fig = ObjectProperty()
+    current_ax = ObjectProperty()
+
+    def __init__(self, **kwargs):
+        super(EquityResultsViewer, self).__init__(**kwargs)
+
+        self.dfs = {}
+        self.run_medidata = {}
+
+        self.time_selector.start_time.bind(on_text_validate=self.draw_figure)
+        self.time_selector.end_time.bind(on_text_validate=self.draw_figure)
+    
+    def on_enter(self):
+        ab = self.manager.nav_bar
+        ab.set_title('Equity Analysis Results Viewer')
+
+        help_button = NavigationButton(
+            text='help (results viewer)',
+            on_release=self.open_help_carousel,
+        )
+
+        ab.action_view.add_widget(help_button)
+    
+    def open_help_carousel(self, *args):
+        """
+        """
+        help_carousel_view = HelpCarouselModalView()
+        help_carousel_view.title.text = "Results Viewer"
+
+        slide_01_text = "The Results Viewer is a built-in tool to help you look at QuESt optimization results. The recycle view at the bottom contains each optimization run (model) performed during your current session. Typically each item will correspond to a single powerplant and replacement fraction.\n\nYou can select which results you want to view simultaneously. We recommend selecting no more than six at a time."
+
+        slide_02_text = "The 'Select data' spinner is for selecting which quantity to plot. The variety of choices here will differ among QuESt applications. While most selections correspond to line plots of time series, some other plots such as box-and-whisker plots may be available."
+
+        slide_03_text = "Click on the 'Plot/Redraw' to render the plot according to your current selections.\n\nNote that the figure is not interactive."
+
+        slide_04_text = "For time series plots, you can adjust the range of time shown using the 'Hours shown' field. This can be used to look at specific points in time in more detail.\n\nYou can hit the 'Enter' key after changing these values to quickly render the plot."
+
+        slide_05_text = "You can export the currently rendered plot to a PNG image file using the 'Export PNG' button.\n\nYou can also export the detailed table of results for each selected model to a CSV file using the 'Export CSV' button. An individual file will be made for each selected model. These files contain details such as decision variable values at each timestep and other relevant quantities."
+
+        slides = [
+            (os.path.join("es_gui", "resources", "help_views", "common", "results_viewer", "01.png"), slide_01_text),
+            (os.path.join("es_gui", "resources", "help_views", "common", "results_viewer", "02.png"), slide_02_text),
+            (os.path.join("es_gui", "resources", "help_views", "common", "results_viewer", "03.png"), slide_03_text),
+            (os.path.join("es_gui", "resources", "help_views", "common", "results_viewer", "04.png"), slide_04_text),
+            (os.path.join("es_gui", "resources", "help_views", "common", "results_viewer", "05.png"), slide_05_text),
+        ]
+
+        help_carousel_view.add_slides(slides)
+        help_carousel_view.open()
+
+    def on_pre_enter(self):
+        pass
+
+    def on_leave(self):
+        """Resets all selections and the graph."""
+        self._reset_screen()
+
+    # def _on_keyboard_down(self, instance, keyboard, keycode, text, modifiers):
+    #     if keycode == 40:  # 40 - Enter key pressed
+    #         self.draw_figure()
+
+    def _select_all_runs(self):
+        for selectable_node in self.rv.layout_manager.get_selectable_nodes():
+            self.rv.layout_manager.select_node(selectable_node)
+
+    def _deselect_all_runs(self):
+        while len(self.rv.layout_manager.selected_nodes) > 0:
+            for selected_node in self.rv.layout_manager.selected_nodes:
+                self.rv.layout_manager.deselect_node(selected_node)
+
+    def _reset_screen(self):
+        #rv = self.run_selector.rv
+        rv = self.rv
+
+        self._deselect_all_runs()
+
+        # Clears graph.
+        while len(self.plotbox.children) > 0:
+            for widget in self.plotbox.children:
+                if isinstance(widget, FigureCanvasKivyAgg):
+                    self.plotbox.remove_widget(widget)
+
+        # Reset spinners.
+        self.vars_button.text = 'Select data'
+
+        # Reset text input fields.
+        self.time_selector.start_time.text = '0'
+        self.time_selector.end_time.text = '8760'
+
+    def _reinit_graph(self, has_legend=True):
+        # Clears graph.
+        while len(self.plotbox.children) > 0:
+            for widget in self.plotbox.children:
+                if isinstance(widget, FigureCanvasKivyAgg):
+                    self.plotbox.remove_widget(widget)
+        
+        fig, ax = plt.subplots()
+        self.current_fig = fig
+        self.current_ax = ax
+
+        ax.xaxis.label.set_size(16)
+        ax.yaxis.label.set_size(16)
+        plt.rcParams.update({'font.size': 18, 'xtick.labelsize': 12, 'ytick.labelsize': 12,
+                             'lines.linewidth': 2})
+        plt.rc('legend', **{'fontsize': 10})
+
+        if has_legend:
+            box = ax.get_position()
+            ax.set_position([box.x0, box.y0, box.width * 0.75, box.height])
+
+        plotbox = self.plotbox
+        canvas = FigureCanvasKivyAgg(self.current_fig)
+        plotbox.add_widget(canvas, index=0)
+
+    def _update_toolbar(self, *args):
+        """Updates the data viewing toolbar based on selections."""
+        # if not self.dfs:
+        #     # if no selections made, disable all toolbar buttons and return
+        #     self.vars_button.disabled = True
+        #     self.time_button.disabled = True
+        #     self.draw_button.disabled = True
+        #     self.csv_export_button.disabled = True
+        #     self.png_export_button.disabled = True
+        #
+        #     return
+
+        self.vars_button.disabled = False
+        #self.time_button.disabled = False
+        self.draw_button.disabled = False
+        self.csv_export_button.disabled = False
+        self.png_export_button.disabled = False
+
+    def _update_selection(self):
+        """Updates the dict. of DataFrames whenever new selections of data are made."""
+
+        # Identify the selected run(s) from RunSelector.
+        #rv = self.run_selector.rv
+        rv = self.rv
+        runs_selected = [rv.data[selected_ix] for selected_ix in rv.layout_manager.selected_nodes]
+
+        results = {}
+        run_metadata_list = {}
+
+        for run in runs_selected:
+            label = run['name']
+            df = run['optimizer'].results
+            results[label] = df
+            run_metadata_list[label] = run['run_medidata']
+
+        self.dfs = results
+        self.run_medidata = run_metadata_list
+
+    def _validate_inputs(self):
+        if not self.dfs:
+            # No selections made.
+            popup = WarningPopup()
+            popup.popup_text.text = "We need data to plot! Let's pick some solved models to view first."
+            popup.open()
+
+            return False
+
+        plot_type = self.vars_button.text
+
+        if plot_type == 'Select data':
+            # No data to plot has been selected.
+            popup = WarningPopup()
+            popup.popup_text.text = "We need something to plot! Let's select some data to view first."
+            popup.open()
+
+            return False
+
+        if not self.time_selector.validate():
+            return False
+
+        return True
+
+    def draw_figure(self, *args):
+        pass
+
+    def export_png(self, outdir_root):
+        """Exports currently displayed figure to .png file in specified location."""
+        os.makedirs(outdir_root, exist_ok=True)
+
+        self._update_selection()
+
+        if not self.plotbox.children:
+            popup = WarningPopup()
+            popup.popup_text.text = "There is currently no plot drawn to export."
+            popup.open()
+        elif self.dfs:
+            outname = os.path.join(outdir_root, self.vars_button.text+'.png')
+            self.plotbox.children[0].export_to_png(outname)
+
+            popup = WarningPopup(size_hint=(0.4, 0.4))
+            popup.title = 'Success!'
+            popup.popup_text.text = 'Figure successfully exported to:\n\n' + os.path.abspath(outname)
+            popup.open()
+        else:
+            popup = WarningPopup()
+            popup.popup_text.text = "We need a plot to export! Let's pick some solved models to view first."
+            popup.open()
+
+    def export_csv(self, outdir_root):
+        """Exports selected DataFrames to .csv files in specified location."""
+        os.makedirs(outdir_root, exist_ok=True)
+        
+        self._update_selection()
+
+        if self.dfs:
+            for run in self.dfs:
+                # Split and regenerate run label to make it filename-friendly.
+                run_label_split = run.split(' | ')
+                run_name = ' '.join(run_label_split[:4])
+
+                # Strip non-alphanumeric chars.
+                delchars = ''.join(c for c in map(chr, range(256)) if not c.isalnum())
+                run_name = run_name.translate({ord(i): None for i in delchars})
+
+                outname = os.path.join(outdir_root, run_name + '.csv')
+                df = self.dfs[run]
+                os.makedirs(outdir_root, exist_ok=True)
+                df.to_csv(outname, index=False)
+
+            popup = WarningPopup(size_hint=(0.4, 0.4))
+            popup.title = 'Success!'
+            popup.popup_text.text = 'File(s) successfully exported to:\n\n' + os.path.abspath(outdir_root)
+            popup.open()
+        else:
+            popup = WarningPopup()
+            popup.popup_text.text = "We need some results to export! Let's pick some solved models to view first."
+            popup.open()
+
+
+class EquityTimeSelector(MyPopup):
+    """
+    A Popup with TextInput fields for determining the range of time to display in the figure.
+    """
+
+    def __init__(self, **kwargs):
+        super(EquityTimeSelector, self).__init__(**kwargs)
+
+    def _validate(self):
+        """
+        Validates the field entries before closing the TimeSelector.
+        """
+        try:
+            start_time = int(self.start_time.text)
+            end_time = int(self.end_time.text)
+            assert(start_time < end_time)
+        except ValueError:
+            # empty text input
+            popup = WarningPopup()
+            popup.popup_text.text = 'All input fields must be populated to continue.'
+            popup.open()
+        except AssertionError:
+            # start_time > end_time
+            popup = WarningPopup()
+            popup.popup_text.text = 'The start time cannot be greater than the end time.'
+            popup.open()
+        else:
+            self.dismiss()
+
+        # Note: We do not necessarily need to check for index errors because Series slicing does not throw exceptions
+
+
+class EquityTimeSelectorRow(GridLayout):
+    def get_inputs(self):
+        return int(self.start_time.text), int(self.end_time.text)
+
+    def validate(self):
+        """Validates the field entries before closing the TimeSelector."""
+        try:
+            start_time = int(self.start_time.text)
+            end_time = int(self.end_time.text)
+            assert(start_time < end_time)
+        except ValueError:
+            # empty text input
+            popup = WarningPopup()
+            popup.popup_text.text = 'All input fields must be populated to continue.'
+            popup.open()
+
+            return False
+        except AssertionError:
+            # start_time > end_time
+            popup = WarningPopup()
+            popup.popup_text.text = 'The start time cannot be greater than the end time.'
+            popup.open()
+
+            return False
+        else:
+            return True
+
+
+class EquityTimeTextInput(TextInput):
+    """
+    A TextInput field for entering time indices. Limited to three int characters only.
+    """
+    def insert_text(self, substring, from_undo=False):
+        # limit to 4 chars
+        substring = substring[:4 - len(self.text)]
+        return super(EquityTimeTextInput, self).insert_text(substring, from_undo=from_undo)
+
+
 class ValuationParameterRow(GridLayout):
     """Grid layout containing parameter descriptor label and text input field. For QuESt Valuation interfaces."""
     def __init__(self, desc, **kwargs):

From 08b8ad7ef40094429392feaf09b7a41ad2beb45f Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:25:35 -0600
Subject: [PATCH 14/23] Add files via upload

main equity tools
---
 .../__pycache__/constraints.cpython-38.pyc    | Bin 0 -> 4685 bytes
 .../__pycache__/equity_dms.cpython-37.pyc     | Bin 0 -> 1719 bytes
 .../__pycache__/equity_dms.cpython-38.pyc     | Bin 0 -> 1720 bytes
 .../equity_optimizer.cpython-38.pyc           | Bin 0 -> 7492 bytes
 .../__pycache__/readdata.cpython-38.pyc       | Bin 0 -> 4608 bytes
 es_gui/tools/equity/constraints.py            |  96 +++++++
 es_gui/tools/equity/equity_dms.py             |  49 ++++
 es_gui/tools/equity/equity_optimizer.py       | 234 ++++++++++++++++++
 es_gui/tools/equity/readdata.py               | 170 +++++++++++++
 9 files changed, 549 insertions(+)
 create mode 100644 es_gui/tools/equity/__pycache__/constraints.cpython-38.pyc
 create mode 100644 es_gui/tools/equity/__pycache__/equity_dms.cpython-37.pyc
 create mode 100644 es_gui/tools/equity/__pycache__/equity_dms.cpython-38.pyc
 create mode 100644 es_gui/tools/equity/__pycache__/equity_optimizer.cpython-38.pyc
 create mode 100644 es_gui/tools/equity/__pycache__/readdata.cpython-38.pyc
 create mode 100644 es_gui/tools/equity/constraints.py
 create mode 100644 es_gui/tools/equity/equity_dms.py
 create mode 100644 es_gui/tools/equity/equity_optimizer.py
 create mode 100644 es_gui/tools/equity/readdata.py

diff --git a/es_gui/tools/equity/__pycache__/constraints.cpython-38.pyc b/es_gui/tools/equity/__pycache__/constraints.cpython-38.pyc
new file mode 100644
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diff --git a/es_gui/tools/equity/constraints.py b/es_gui/tools/equity/constraints.py
new file mode 100644
index 00000000..7e677609
--- /dev/null
+++ b/es_gui/tools/equity/constraints.py
@@ -0,0 +1,96 @@
+from __future__ import absolute_import
+import math
+
+from pyomo.environ import *
+
+
+class ExpressionsBlock:
+    """Creates blocks for objective and constraint functions and assigns them to the Pyomo model."""
+
+    def set_expressions(self, model):
+        """Generates the objective and constraint expressions for model."""
+        block_obj = Block()
+        model.objectives = block_obj
+
+        block_con = Block()
+        model.constraints = block_con
+
+        self._objective_peaker_rep(block_obj)
+        self._constraints_peaker_rep(block_con)
+        
+
+    def _objective_peaker_rep(self, block):
+        eq_objective_peaker_rep(block)
+
+    def _constraints_peaker_rep(self, block):
+        eq_stateofenergy(block)
+        ineq_power_capacity_rule(block)
+        ineq_gen_matching_rule(block)
+        ineq_meets_rule(block)
+  
+def eq_objective_peaker_rep(m):
+    mp = m.parent_block()
+    if mp.flexible_dispatch:
+        _expr = (mp.cost_per_MWh_BESS * mp.energy_capacity
+                    + mp.cost_per_MW_BESS * mp.power_capacity 
+                    + mp.cost_per_MW_PV_system * mp.pv_capacity 
+                    + 0.000001 * sum([mp.meets[i] for i in mp.time]) )
+
+    if mp.fixed_dispatch:
+        _expr = (mp.cost_per_MWh_BESS * mp.energy_capacity
+                    + mp.cost_per_MW_BESS * mp.power_capacity 
+                    + mp.cost_per_MW_PV_system * mp.pv_capacity )
+
+    mp.objective_expr += _expr
+    m.objective_rt = Expression(expr=_expr)
+
+
+def eq_stateofenergy(m):
+    """Definition of state of charge"""
+    mp = m.parent_block()
+   
+    def _eq_stateofenergy(_m, t):
+        return mp.soe[t+1] - mp.soe[t] == mp.pe_d[t] + mp.pe_c[t]*mp.energy_efficiency
+    m.stateofenergy = Constraint(mp.time, rule=_eq_stateofenergy)
+
+    def _energy_capacity_rule(_m,i):
+        return mp.soe[i] <= mp.energy_capacity
+    m.soe_energy_capacity = Constraint(mp.time,rule=_energy_capacity_rule)
+
+    def _eq_stateofenergy_start(_m):
+        return mp.soe[0] == mp.energy_capacity
+    m.stateofenergy_start = Constraint(rule=_eq_stateofenergy_start)
+
+    T  = mp.n-1
+    def _eq_stateofenergy_final(_m):
+        return mp.soe[T] == mp.energy_capacity
+    m.stateofenergy_final = Constraint(rule=_eq_stateofenergy_final)
+
+def ineq_power_capacity_rule(m):
+    mp = m.parent_block()
+    def _power_capacity_rule(battery, i):
+        return mp.pe_c[i] - mp.pe_d[i] <= mp.power_capacity
+    m.charge_capacity_constraint = Constraint(mp.time, rule=_power_capacity_rule)
+
+def ineq_gen_matching_rule(m):
+    mp = m.parent_block()
+    def _gen_matching_rule(battery,i):
+        if mp.flexible_dispatch:
+            dsp = mp.plant_dispatch[i]*mp.meets[i]
+        if mp.fixed_dispatch:
+            dsp = mp.filtered_plant_dispatch[i]
+        return -mp.pe_d[i] - mp.pe_c[i] + mp.pv_capacity*mp.pv_profile[i] >= dsp
+    m.peak_power = Constraint(mp.time,  rule=_gen_matching_rule)
+
+def ineq_meets_rule(m):
+    mp = m.parent_block()
+    def _meets_rule(battery):
+        operating = []
+        for ii in mp.time:
+            if mp.plant_dispatch[ii] > 0:
+                operating.append(ii)
+        operating_n = len(operating)     
+        return mp.replacement_fraction*sum(mp.plant_dispatch) <= sum([mp.plant_dispatch[i]*mp.meets[i] for i in operating])
+    
+    if mp.flexible_dispatch:
+        m.meets_fraction = Constraint(rule=_meets_rule)
diff --git a/es_gui/tools/equity/equity_dms.py b/es_gui/tools/equity/equity_dms.py
new file mode 100644
index 00000000..aa292693
--- /dev/null
+++ b/es_gui/tools/equity/equity_dms.py
@@ -0,0 +1,49 @@
+from __future__ import absolute_import
+import logging
+import os
+import json
+
+import pandas as pd
+
+from es_gui.tools.dms import DataManagementSystem
+
+class EquityDMS(DataManagementSystem):
+    """
+    A class for managing data for the energy storage equity functions. Class methods for each type of file to be loaded are included, extending from the get_data() method of the superclass. Each of these methods uses get_data() to retrieve the relevant data and loads the file and adds it to the DMS if the data is not loaded. An optional class method for calling each of the individual data methods can be included to, e.g., form the necessary arguments and return the desired variables.
+
+    :param home_path: A string indicating the relative path to where data is saved.
+    """
+    def __init__(self, home_path, **kwargs):
+        DataManagementSystem.__init__(self, **kwargs)
+
+        self.home_path = home_path
+        self.delimiter = ' @ '  # delimiter used to split information in id_key
+    
+    '''def get_peaker_data(self, path, month):
+        """Retrieves peaker plant output and polution data."""
+        logging.info('DMS: Loading peaker plant data')
+
+        month = str(month)
+        peaker_key = self.delimiter.join([path, month])
+
+        try:
+            peaker_data = self.get_data(peaker_key)
+        except KeyError:
+            peaker_data = read_pv_profile(path, month)
+            self.add_data(peaker_data, peaker_key)
+        finally:
+            return peaker_data'''
+
+    def get_pv_profile_data(self, path):
+        """Retrieves PV profile data."""
+        logging.info('DMS: Loading PV profile data')
+
+        pv_profile_key = path
+
+        try:
+            pv_profile = self.get_data(pv_profile_key)
+        except KeyError:
+            pv_profile = []
+            print('There was an error in loading the pv_profile')
+        finally:
+            return pv_profile
\ No newline at end of file
diff --git a/es_gui/tools/equity/equity_optimizer.py b/es_gui/tools/equity/equity_optimizer.py
new file mode 100644
index 00000000..557b6a38
--- /dev/null
+++ b/es_gui/tools/equity/equity_optimizer.py
@@ -0,0 +1,234 @@
+from __future__ import division, print_function, absolute_import
+
+import logging
+
+from pyomo.environ import *
+import pandas as pd
+import numpy as np
+
+from es_gui.tools import optimizer
+from es_gui.tools.equity.constraints import ExpressionsBlock
+
+
+class EquityOptimizer(optimizer.Optimizer):
+    """A framework wrapper class for creating Pyomo ConcreteModels for peaker plant replacement equity analysis."""
+
+    def __init__(self,discount_rate=None, cost_per_ton_of_CO2=None, cost_per_MW_PV_system=None,
+                fixed_cost_of_PV_system=None, cost_per_MW_BESS=None, cost_per_MWh_BESS=None, fixed_cost_of_the_BESS=None,
+                energy_efficiency=None, plant_dispatch=None, n=None, time=None, soe_time=None, pv_profile=None,
+                replacement_scenarios=None,replacement_fraction=None,
+                solver='glpk'):
+
+        self._model = ConcreteModel()
+        self._solver = solver
+
+        self.discount_rate               = discount_rate
+        self.cost_per_ton_of_CO2         = cost_per_ton_of_CO2
+        self.cost_per_MW_PV_system       = cost_per_MW_PV_system
+        self.fixed_cost_of_PV_system     = fixed_cost_of_PV_system
+        self.cost_per_MW_BESS            = cost_per_MW_BESS
+        self.cost_per_MWh_BESS           = cost_per_MWh_BESS
+        self.fixed_cost_of_the_BESS      = fixed_cost_of_the_BESS
+        self.energy_efficiency           = energy_efficiency
+        self.plant_dispatch             = plant_dispatch     
+        self.filtered_plant_dispatch    = plant_dispatch          
+        self.n                          = n
+        self.time                       = time
+        self.soe_time                   = soe_time
+
+        self.pv_profile                 = pv_profile
+        self.replacement_fraction      = replacement_fraction
+        self.path = ''
+ #--------------------------------------------------- 
+    @property
+    def results(self):
+        """Pandas DataFrame containing results."""
+        return self._results
+
+    @results.setter
+    def results(self, value):
+        if isinstance(value, pd.DataFrame):
+            self._results = value
+        else:
+            raise TypeError('results must be a Pandas DataFrame.')
+ #--------------------------------------------------- 
+    '''#--------------------------------------------------- 
+        @property
+        def discount_rate(self):
+            """time discount rate [%]."""
+            return self._discount_rate 
+
+        @discount_rate.setter
+        def discount_rate(self, value):
+            self._discount_rate = value
+    #--------------------------------------------------- 
+    #--------------------------------------------------- 
+        @property
+        def soe_time(self):
+            """time steps for SOE [hour]."""
+            return self._soe_time 
+
+        @soe_time.setter
+        def soe_time(self, value):
+            self._soe_time = value
+    #--------------------------------------------------- 
+
+    #--------------------------------------------------- 
+        @property
+        def pv_profile(self):
+            """Pv profile [kW]."""
+            return self._pv_profile 
+
+        @pv_profile.setter
+        def pv_profile(self, value):
+            self._pv_profile = value
+    #--------------------------------------------------- '''
+
+
+
+
+    def _set_model_param(self):
+        """Sets the model params for the Pyomo ConcreteModel."""
+        m = self.model
+        
+        # Check if params common to all formulations are set.
+        if not hasattr(m, 'discount_rate'):
+            # Transformer rating; equivalently, the maximum power can be exchanged [kW].
+            logging.debug('Optimizer: No discount_rate provided, setting default...')
+            m.Transformer_rating = 3
+    
+    def _set_model_var(self):
+        """Sets the model vars for the Pyomo ConcreteModel."""
+        m = self.model
+        
+        if not hasattr(m, 'energy_capacity'):
+            def _energy_capacity_init(_m):
+                """The energy storage device's state of energy [kWh]."""
+                return 0
+
+            m.energy_capacity = Var(domain = NonNegativeReals)
+
+        if not hasattr(m, 'power_capacity'):
+            def _power_capacity_init(_m):
+                """The energy storage device's state of energy [kWh]."""
+                return 0
+
+            m.power_capacity = Var(domain = NonNegativeReals)
+
+        if not hasattr(m, 'pv_capacity'):
+            def _pv_capacity_init(_m):
+                """The energy storage device's state of energy [kWh]."""
+                return 0
+
+            m.pv_capacity = Var(domain = NonNegativeReals)
+
+        if not hasattr(m, 'soe'):
+            def _soe_init(_m, t):
+                """The energy storage device's state of energy [kWh]."""
+                return m.energy_capacity
+            m.soe = Var(m.soe_time, domain = NonNegativeReals)
+
+        if not hasattr(m, 'pe_c'):
+            def _pe_c_init(_m, t):
+                """The energy storage device's state of energy [kWh]."""
+                return 0
+
+            m.pe_c = Var(m.time, domain = NonNegativeReals)
+
+        if not hasattr(m, 'pe_d'):
+            def _pe_d_init(_m, t):
+                """The energy storage device's state of energy [kWh]."""
+                return 0
+
+            m.pe_d = Var(m.time, domain = NonPositiveReals)
+
+        if not hasattr(m, 'meets'):
+            def _pe_d_init(_m, t):
+                """The fraction of the peakers power at any time that the BESS+PV meets."""
+                return 0
+            m.meets = Var(m.time, domain = NonNegativeReals, bounds=(0,1))
+
+    def instantiate_model(self):
+        """Instantiates the Pyomo ConcreteModel and populates it with supplied time series data."""
+        if not hasattr(self, 'model'):
+            self.model = ConcreteModel()
+        
+        m = self.model
+
+        m.replacement_fraction       = self.replacement_fraction
+        m.discount_rate               = self.discount_rate
+        m.cost_per_ton_of_CO2         = self.cost_per_ton_of_CO2 
+        m.CO2_emissions               = self.CO2_emissions  
+        m.cost_per_MW_PV_system       = self.cost_per_MW_PV_system
+        m.fixed_cost_of_PV_system     = self.fixed_cost_of_PV_system
+        m.cost_per_MW_BESS            = self.cost_per_MW_BESS 
+        m.cost_per_MWh_BESS           = self.cost_per_MWh_BESS
+        m.fixed_cost_of_the_BESS      = self.fixed_cost_of_the_BESS  
+        m.energy_efficiency           = self.energy_efficiency 
+        m.plant_dispatch              = self.plant_dispatch
+        m.filtered_plant_dispatch     = self.filtered_plant_dispatch
+        m.n                           = self.n
+        m.time                        = self.time
+        m.soe_time                    = self.soe_time
+        m.pv_profile                  = self.pv_profile
+        m.flexible_dispatch           = self.flexible_dispatch
+        m.fixed_dispatch              = self.fixed_dispatch      
+
+        logging.info('Optimizer: Pyomo ConcreteModel has been populated with supplied time series data.')
+
+            
+    def populate_model(self):
+        """Populates the Pyomo ConcreteModel based on the specified market_type."""
+        self.model.objective_expr = 0.0
+
+        self._set_model_param()
+        self._set_model_var()
+
+        self.expressions_block = ExpressionsBlock()
+        
+        try:
+            self.expressions_block.set_expressions(self.model)
+        except IndexError:
+            # Array-like object(s) do(es) not match the length of the price_electricity array-like.
+            raise(IncompatibleDataException('At least one of the array-like parameter objects is not the expected length. (It should match the length of the price_electricity object.)'))
+        else:
+            self.model.objective = Objective(expr=self.model.objective_expr)
+
+    def _process_results(self):
+        """Processes optimization results for further evaluation."""
+        m = self.model
+        self.replacement_fraction = m.replacement_fraction
+        self.energy_capacity = m.energy_capacity.value
+        self.power_capacity = m.power_capacity.value
+        self.pv_capacity = m.pv_capacity.value
+        self.soe = [m.soe[i].value for i in self.time]
+        self.pe_c = [m.pe_c[i].value for i in self.time]
+        self.pe_d = [m.pe_d[i].value for i in self.time]
+        ptot = [m.pe_c[i].value + m.pe_d[i].value for i in self.time]
+        ppv = [m.pv_capacity.value*m.pv_profile[i] for i in self.time]
+        self.es_pv_dispatch = [-m.pe_d[i].value - m.pe_c[i].value + m.pv_capacity.value*m.pv_profile[i] for i in self.time]
+
+        run_results = {'time': self.time,  'plant dispatch': self.plant_dispatch, 'filtered plant dispatch': self.filtered_plant_dispatch,
+                       'Ppv': ppv, 'Pcharge': self.pe_c, 'Pdischarge': self.pe_d, 'es power': ptot,
+                       'es+pv power': self.es_pv_dispatch, 'state of energy': self.soe,}
+        
+
+        self.results = pd.DataFrame(run_results)        
+        logging.info('Optimizer: Results have been processed for further evaluation.')
+        
+    def get_results(self):
+        """Returns the decision variables and derived quantities in a DataFrame"""
+        return self.results
+    
+ 
+
+class BadParameterException(Exception):
+    pass
+
+
+class IncompatibleDataException(Exception):
+    pass
+
+
+if __name__ == '__main__':
+    print('this script does not run on its own')
\ No newline at end of file
diff --git a/es_gui/tools/equity/readdata.py b/es_gui/tools/equity/readdata.py
new file mode 100644
index 00000000..be2e5226
--- /dev/null
+++ b/es_gui/tools/equity/readdata.py
@@ -0,0 +1,170 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Nov 13 14:48:42 2018
+
+@author: tunguy
+Modifyed on Wed Nov 24 15:19:00 2022
+@author: dmrose
+"""
+import urllib.request
+import os
+import pandas as pd
+from pandas.io.json import json_normalize
+import numpy as np
+import json
+import holidays
+from datetime import datetime
+import datetime as dt
+
+
+
+def read_pv_profile(path, month):
+    """Reads the annual PV profile file located at path and returns the array of the PV profile for the given month."""
+    if isinstance(month, str):
+        month = int(month)
+    
+    with open(path) as f:
+        profile_obj = json.load(f)
+        
+    pv_output_w = profile_obj['outputs']['ac']
+
+    # Convert to kW.
+    df_pv_output = pd.DataFrame(pv_output_w, columns=['kW'])*1e-3
+
+    # Apply datetime index for filtering.
+    datetime_start = datetime(2019, 1, 1, 0)
+    hour_range = pd.date_range(start=datetime_start, periods=len(pv_output_w), freq='H')
+    df_pv_output['dt'] = hour_range
+
+    # Filter by given month.
+    df_pv_month = df_pv_output.loc[df_pv_output['dt'].apply(lambda x: x.month == month)]
+    pv_output_kw = df_pv_month['kW'].values
+
+    return pv_output_kw
+
+def get_pv_profile_string(path):
+    """Reads the PV profile JSON object and returns a list of string descriptors."""
+    with open(path) as f:
+        profile_obj = json.load(f)
+    
+    module_type_list = ['Standard', 'Premium', 'Thin Film', 'N/A']
+    array_type_list = ['Fixed (open rack)', 'Fixed (roof mounted)', '1-axis', '1-axis (backtracking)', '2-axis', 'N/A']
+    
+    query_inputs = profile_obj['inputs']
+
+    # Skip if this is a custom/imported profile.
+    if query_inputs["array_type"] == -1:
+        return ["Custom",]
+
+    coordinates = 'Location: {lat}, {lon}'.format(lat=query_inputs['lat'], lon=query_inputs['lon'])
+    system_capacity = 'System Capacity: {0} kW'.format(query_inputs['system_capacity'])
+    azimuth = 'Azimuth: {0} deg'.format(query_inputs['azimuth'])
+    tilt = 'Tilt: {0} deg'.format(query_inputs['tilt'])
+    array_type = 'Array Type: {0}'.format(array_type_list[int(query_inputs['array_type'])])
+    module_type = 'Module Type: {0}'.format(module_type_list[int(query_inputs['module_type'])])
+    system_losses = 'System Losses: {0}%'.format(query_inputs['losses'])
+
+    descriptors = [
+        coordinates,
+        system_capacity,
+        azimuth,
+        tilt,
+        array_type,
+        module_type,
+        system_losses,
+    ]
+
+    return descriptors
+
+def get_power_plant_string(path):
+    """Reads the power plant profile JSON object and returns a list of string descriptors."""
+
+    with open(path) as f:
+        power_plant_obj = json.load(f)
+    
+    name = 'Power Plant Name: {} '.format(power_plant_obj['Name'])
+    oris_id = 'ORIS ID number: {0}'.format(power_plant_obj['Oris_id'])
+    coordinates = 'Location: {lat}, {lon}'.format(lat=power_plant_obj['lat'], lon=power_plant_obj['lon'])  
+    system_capacity = 'Capacity: {0} MW'.format(power_plant_obj['NameplateCapacity'])
+    data_year = 'Data Year: {0}'.format(power_plant_obj['year'])
+    
+    descriptors = [
+        name,
+        oris_id,
+        coordinates,
+        system_capacity,
+        data_year
+    ]
+
+    return descriptors
+
+
+def input_df(year,wkday_eschld,wkend_eschld,wkday_dschld,wkend_dschld):
+    """
+    Generate a Pandas dataframe from the downloaded rate schedule data.
+    :param year: an integer.
+    :param wkday_eschld: a 12x24 NumPy array, wkday_schld[i][j] is the tou energy schedule of hour j+1 in a weekday of month i+1
+    :param wkend_eschld: a 12x24 NumPy array, wkend_schld[i][j] is the tou energy schedule of hour j+1 in a weekend day or a holiday of month i+1
+    :param wkday_dschld: a 12x24 NumPy array, wkday_schld[i][j] is the tou demand schedule of hour j+1 in a weekday of month i+1
+    :param wkend_dschld: a 12x24 NumPy array, wkend_schld[i][j] is the tou demand schedule of hour j+1 in a weekend day or a holiday of month i+1
+    
+    :return opt_df: a Pandas dataframe with the following template:|year|month|day|hour|tou_energy_schedule|tou_demand_schedule|
+    """
+    column_list=['year','month','day','hour','tou_energy_schedule','tou_demand_schedule']
+    data_list=[]
+    nday={1:31,2:28,3:31,4:30,5:31,6:30,7:31,8:31,9:30,10:31,11:30,12:31}
+    
+    if int(year)%4==0:
+        nday[2]=29
+        
+    us_holidays=holidays.UnitedStates()
+    for month in range(1,13):
+        for day in range(1,nday[month]+1):
+            date=datetime(year, month, day)
+            dayofweek = date.weekday()
+            for hour in range(1,25):
+                if (date in us_holidays) or (dayofweek>4):
+                    if len(wkend_dschld)>1:  
+                        row=[year,month,day,hour,wkend_eschld[month-1][hour-1],wkend_dschld[month-1][hour-1]]
+                    else:
+                        row=[year,month,day,hour,wkend_eschld[month-1][hour-1],0]
+                else:
+                    if len(wkday_dschld)>1:  
+                        row=[year,month,day,hour,wkday_eschld[month-1][hour-1],wkday_dschld[month-1][hour-1]]
+                    else:
+                        row=[year,month,day,hour,wkday_eschld[month-1][hour-1],0]
+                    
+                data_list.append(row)
+    opt_df=pd.DataFrame(data=data_list,columns=column_list)
+
+    return opt_df
+                    
+# Example             
+#utdataframe = download_utdata(https_proxy="wwwproxy.sandia.gov:80")
+#utdata=search_utdata_byzip(utdataframe=utdataframe,utzip=87185)
+#utid=utdata['eiaid'].values
+#utid=[14328]
+#print(utid)
+#schld_data=find_utschld(https_proxy="wwwproxy.sandia.gov:80",eiaid=str(utid[0]),api_key="QqYsZ7wI57tBiNaqc4IZfffvgWaorWER6J3D69tw")
+#
+#for i in range(len(schld_data)):
+#    print(i,schld_data[i]['name'])
+#
+#print(schld_data[471].keys())
+#print(schld_data[471]['flatdemandstructure'])
+#
+#wkday_eschld=schld_data[471]['energyweekdayschedule']
+#wkend_eschld=schld_data[471]['energyweekendschedule']
+#tou_erate=schld_data[471]['energyratestructure']
+#
+#wkday_dschld=schld_data[471]['demandweekdayschedule']
+#wkend_dschld=schld_data[471]['demandweekendschedule']
+#tou_drate=schld_data[471]['demandratestructure']
+#
+#flat_dschld=schld_data[471]['flatdemandmonths']
+#flat_drate=schld_data[471]['flatdemandstructure']
+#
+#year=2016
+#opt_df=input_df(year,wkday_eschld,wkend_eschld,wkday_dschld,wkend_dschld)
+#opt_df.to_csv('./input.csv')
+#print(opt_df)
\ No newline at end of file

From 8f1e7ad0f3a9cb52fccbd5771b26755af1d75c9b Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:31:55 -0600
Subject: [PATCH 15/23] Add files via upload

updated the numpy.txt license based on numpy_financial license.
---
 licenses/numpy.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/licenses/numpy.txt b/licenses/numpy.txt
index b821b83b..695bf6eb 100644
--- a/licenses/numpy.txt
+++ b/licenses/numpy.txt
@@ -1,4 +1,4 @@
-Copyright © 2005-2018, NumPy Developers.
+Copyright © 2005-2019, NumPy Developers.
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

From 47818a5bc400e5131b208ad30b8003edc6eb360a Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:34:22 -0600
Subject: [PATCH 16/23] Add files via upload

---
 QuESt.kv | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/QuESt.kv b/QuESt.kv
index 7489bf18..1365810f 100644
--- a/QuESt.kv
+++ b/QuESt.kv
@@ -249,7 +249,7 @@
                                 text: 'QuESt Equity' 
 
                             AppSelectionDescBody:
-                                text: 'A collection of tools for energy equity and environmental justice (EEEJ) applications of energy storage systems:\n*replace a selected power plant with ES+PV'
+                                text: 'A collection of tools for energy equity and environmental justice (EEEJ) applications of energy storage systems:\n*replace a selected powerplant with ES+PV'
 
                             AnchorLayout:
                                 anchor_x: 'center'

From 1e671ab33f9783833b28edc0795226816279b880 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 14:58:05 -0600
Subject: [PATCH 17/23] Add files via upload

removed codes
---
 quest.ini | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/quest.ini b/quest.ini
index 36b6adff..1c5f54fa 100644
--- a/quest.ini
+++ b/quest.ini
@@ -3,8 +3,8 @@ solver = glpk
 
 [connectivity]
 use_proxy = 1
-http_proxy = proxy.sandia.gov:80
-https_proxy = proxy.sandia.gov:80
+http_proxy = 
+https_proxy = 
 use_ssl_verify = 1
 
 [valuation]
@@ -22,7 +22,7 @@ pjm_subscription_key =
 iso-ne_api_username = 
 
 [datamanager-openei]
-openei_key = jr6myvRcZrtgV0H2xgevAcXCMPe0hT3JOkwawd6v
+openei_key = 
 
 [performance]
 performance_dms_save = 1

From cf0a92819e35b94735027bcf640cbaa3a73df19f Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 15:05:55 -0600
Subject: [PATCH 18/23] Delete benefits map.png

---
 results/equity/plots/benefits map.png | Bin 335550 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 results/equity/plots/benefits map.png

diff --git a/results/equity/plots/benefits map.png b/results/equity/plots/benefits map.png
deleted file mode 100644
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literal 0
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From 9eb1804e6d46d5ded2c3edced479a82a12fa0372 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Tue, 4 Oct 2022 15:06:00 -0600
Subject: [PATCH 19/23] Delete cost-benefit.png

---
 results/equity/plots/cost-benefit.png | Bin 109013 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 results/equity/plots/cost-benefit.png

diff --git a/results/equity/plots/cost-benefit.png b/results/equity/plots/cost-benefit.png
deleted file mode 100644
index dab2c507ea7c5adf697b04c98f5e41f381664f4f..0000000000000000000000000000000000000000
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From f850c4bb9d30a1b50f0890d78a5a22e37c5812f0 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Wed, 5 Oct 2022 09:03:17 -0600
Subject: [PATCH 20/23] Uploaded COBRA Logo to include in data manager

---
 es_gui/resources/logo/COBRA.png | Bin 0 -> 101237 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 es_gui/resources/logo/COBRA.png

diff --git a/es_gui/resources/logo/COBRA.png b/es_gui/resources/logo/COBRA.png
new file mode 100644
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literal 0
HcmV?d00001


From b967568bf029178a5bcfb0d8e486b76c7ccee736 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Fri, 7 Oct 2022 09:10:41 -0600
Subject: [PATCH 21/23] Added warning popup to powerplant data manager

Added warning popup when user has not downloaded the facilities list or the PPNC spreadsheet
---
 es_gui/apps/data_manager/power.py | 33 ++++++++++++++++++++++++++-----
 1 file changed, 28 insertions(+), 5 deletions(-)

diff --git a/es_gui/apps/data_manager/power.py b/es_gui/apps/data_manager/power.py
index 3b4512ac..5ac2a5ab 100644
--- a/es_gui/apps/data_manager/power.py
+++ b/es_gui/apps/data_manager/power.py
@@ -310,12 +310,35 @@ def execute_query(self):
             self.reset_screen()
             self.save_button.disabled = True
 
-            try:
-                request_content = self._query_api(power_plant_params)
-            except requests.ConnectionError:
-                popup = ConnectionErrorPopup()
-                popup.popup_text.text = 'There was an issue connecting to the API. Check your connection settings and try again.'
+            #check to make sure the user has downloaded the facilities and PPNC files
+            facilities_file = os.path.join(STATIC_HOME, 'facilities.json')
+            facilities_file_exists = os.path.exists(facilities_file)
+            ppc_data_file = os.path.join(
+                STATIC_HOME, 'power_plants_and_communities.xlsx')
+            PPNC_file_exists = os.path.exists(ppc_data_file)
+
+            if facilities_file_exists and PPNC_file_exists:
+                try:
+                    request_content = self._query_api(power_plant_params)
+                except requests.ConnectionError:
+                    popup = ConnectionErrorPopup()
+                    popup.popup_text.text = 'There was an issue connecting to the API. Check your connection settings and try again.'
+                    popup.open()
+            else:
+                warning_string = 'Need to Download Updated : '
+                if not facilities_file_exists:
+                    warning_string += 'Facilities List, '
+                if not facilities_file_exists and not PPNC_file_exists:
+                    warning_string += 'and '
+                if not PPNC_file_exists:
+                    warning_string += 'PPNC Spreadsheet, '
+                warning_string += 'before downloading powerplant data. '
+                popup = WarningPopup()
+                popup.title = 'Error : '
+                popup.popup_text.text = warning_string
                 popup.open()
+                self.save_button.disabled = False
+
 
     def _query_api(self, power_plant_params):
         """Uses FACT API to query for a normalized PV profile and powerplant data."""

From d107a639bca6ffb034c6e34f39ede070bd613448 Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Mon, 10 Oct 2022 09:29:33 -0600
Subject: [PATCH 22/23] Bug fix on cost-benefit chart

---
 es_gui/apps/equity/results_viewer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/es_gui/apps/equity/results_viewer.py b/es_gui/apps/equity/results_viewer.py
index d335018e..f9d386de 100644
--- a/es_gui/apps/equity/results_viewer.py
+++ b/es_gui/apps/equity/results_viewer.py
@@ -180,7 +180,7 @@ def draw_figure(self, *args):
                 color = PALETTE[divmod(iii, len(PALETTE))[1]]
                 text_size = 5*total_cost/max_total_cost
                 line_width = 7*total_cost/max_total_cost
-                ax.plot([total_cost/SCALE,total_cost/SCALE],[total_pollution_low/SCALE,total_pollution_high/SCALE],label='Low to High Est. R.F. ' +str(100*eo.replacement_fraction) + '%',linewidth=line_width,color=rgba_to_fraction(color))
+                ax.plot([total_cost/SCALE,total_cost/SCALE],[total_pollution_low/SCALE,total_pollution_high/SCALE],label='Low to High Est. R.F. ' +str(100*replacement_fraction) + '%',linewidth=line_width,color=rgba_to_fraction(color))
                 ax.text(total_cost/(SCALE),(total_pollution_low/SCALE - max_total_pollution_high*0.05/SCALE),'100%',horizontalalignment='center', verticalalignment='center', size=text_size,color=rgba_to_fraction(color))
                 for qq in range(1,10):
                     dev = 0.1*qq

From 91d9f13a7416c402c51fb4c64e75d90806a7b20f Mon Sep 17 00:00:00 2001
From: DavidRosewater <40434080+DavidRosewater@users.noreply.github.com>
Date: Mon, 10 Oct 2022 11:12:52 -0600
Subject: [PATCH 23/23] Typo corrections in executive summary

---
 es_gui/apps/equity/reporting.py | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/es_gui/apps/equity/reporting.py b/es_gui/apps/equity/reporting.py
index cbcf953a..36c41d73 100644
--- a/es_gui/apps/equity/reporting.py
+++ b/es_gui/apps/equity/reporting.py
@@ -597,7 +597,7 @@ def generate_executive_summary(self,eo,name):
 
         executive_summary_strings = []
 
-        header_text = 'The following summarizes the results of the analysis to replace {replacement_fraction:,.0f}% of the energy of the {name} powerplant with a combenation of energy storage and PV. '.format(replacement_fraction=eo.replacement_fraction*100,name=name)
+        header_text = 'The following summarizes the results of the analysis to replace {replacement_fraction:,.0f}% of the energy of the {name} powerplant with a combination of energy storage and PV. '.format(replacement_fraction=eo.replacement_fraction*100,name=name)
         
         executive_summary_strings.append(header_text)
 
@@ -623,7 +623,7 @@ def generate_executive_summary(self,eo,name):
         NPV_multiplier = float(-npf.pv(eo.discount_rate,20,1,0))
         Helth_Ave = eo.replacement_fraction*(eo.Pollution_Low_Value+eo.Pollution_High_Value)/2
         SCC = eo.CO2_emissions*eo.replacement_fraction*eo.cost_per_ton_of_CO2
-        scc_text = ('The system would prevent {0:,.0f} tons of carbon emmisions each year. Assuming a Sotial Cost of Carbon (SCC) of {1}, this would provide roughly {2} in climate benifits per year.'.format(
+        scc_text = ('The system would prevent {0:,.0f} tons of carbon emissions each year. Assuming a Social Cost of Carbon (SCC) of {1} per ton, this would provide roughly {2} in climate benefits per year.'.format(
             (eo.CO2_emissions*eo.replacement_fraction),
             format_long_dollar_string(eo.cost_per_ton_of_CO2),
             format_long_dollar_string(SCC),
@@ -633,7 +633,7 @@ def generate_executive_summary(self,eo,name):
         
         total_sNPV = (Helth_Ave+SCC)*NPV_multiplier
         
-        sNPV_text = ('Assuming a 20 year time horizon, with a {0}% discount rate, this system would provide a sotial Net Present Value (sNPV) of {1} for the health benifits and {2} for the climate benifits adding up to a toal sNPV of {3}.'.format(
+        sNPV_text = ('Assuming a 20 year time horizon, with a {0}% discount rate, this system would provide a social Net Present Value (sNPV) of {1} for the health benefits and {2} for the climate benefits adding up to a total sNPV of {3}.'.format(
         eo.discount_rate*100,
         format_long_dollar_string(Helth_Ave*NPV_multiplier), 
         format_long_dollar_string(SCC*NPV_multiplier), 
@@ -644,7 +644,7 @@ def generate_executive_summary(self,eo,name):
 
         low_sNPV = eo.replacement_fraction*eo.Pollution_Low_Value*eo.impact_on_disadvantaged_population_fraction*NPV_multiplier
         high_sNPV = eo.replacement_fraction*eo.Pollution_High_Value*eo.impact_on_disadvantaged_population_fraction*NPV_multiplier
-        disad_text = ('Where {0:.1f}% of the U.S. population live in disadvantaged communities, {1:.1f}% of the health benifits would be accrued to people living in disadvantaged communities. This means an estemated sNPV between {2} and {3} would go to disadvantaged communities.'.format(
+        disad_text = ('Where {0:.1f}% of the U.S. population live in disadvantaged communities, {1:.1f}% of the health benefits would be accrued to people living in disadvantaged communities. This means an estimated sNPV between {2} and {3} would go to disadvantaged communities.'.format(
                     eo.disadvantaged_population_fraction*100,
                     eo.impact_on_disadvantaged_population_fraction*100,
                     format_long_dollar_string(low_sNPV),
@@ -655,7 +655,7 @@ def generate_executive_summary(self,eo,name):
 
         low_sNPV = eo.replacement_fraction*eo.Pollution_Low_Value*eo.impact_on_low_income_population_fraction*NPV_multiplier
         high_sNPV = eo.replacement_fraction*eo.Pollution_High_Value*eo.impact_on_low_income_population_fraction*NPV_multiplier
-        low_income_text = ('Where {0:.1f}% of the U.S. population have incomes below 200% of the poverty line, {1:.1f}% of the health benifits would be accrued to people with incomes below 200% of the poverty line. This means an estemated sNPV between {2} and {3} would go to people with low incomes.'.format(
+        low_income_text = ('Where {0:.1f}% of the U.S. population have incomes below 200% of the poverty line, {1:.1f}% of the health benefits would be accrued to people with incomes below 200% of the poverty line. This means an estimated sNPV between {2} and {3} would go to people with low incomes.'.format(
                     eo.low_income_population_fraction*100,
                     eo.impact_on_low_income_population_fraction*100,
                     format_long_dollar_string(low_sNPV),
@@ -701,7 +701,7 @@ def generate_report_from_template(self):
         os.makedirs(output_dir, exist_ok=True)
 
         executive_summaries = []
-        plt.figure(figsize=(3, 2), dpi=80)
+        plt.figure()#figsize=(3, 2), dpi=80)
         for ix, op in enumerate(self.host_report.chart_data, start=0):
             eo = op[1]
             if ix == 0:
@@ -733,7 +733,7 @@ def generate_report_from_template(self):
         results_data['plant_data'] = op_handler_requests['plant_data']
         results_data['analysis_params'] = op_handler_requests['param desc']
 
-        plt.figure(figsize=(3, 2), dpi=80)
+        plt.figure()#figsize=(3, 2), dpi=80)
         ax = plt.subplot(111)
         max_total_cost = 0
         max_total_pollution_high = 0
@@ -782,8 +782,10 @@ def generate_report_from_template(self):
             total_pollution_high = (eo.Pollution_High_Value + eo.cost_per_ton_of_CO2*eo.CO2_emissions)*eo.replacement_fraction
 
             color = PALETTE[divmod(iii, len(PALETTE))[1]]
+            
             text_size = 4*total_cost/max_total_cost
             line_width = 4*total_cost/max_total_cost
+            print(text_size)
             ax.plot([total_cost/SCALE,total_cost/SCALE],[total_pollution_low/SCALE,total_pollution_high/SCALE],label='Low to High Est. R.F. ' +str(100*eo.replacement_fraction) + '%',linewidth=line_width,color=rgba_to_fraction(color))
             ax.text(total_cost/(SCALE),(total_pollution_low/SCALE - max_total_pollution_high*0.05/SCALE),'100%',horizontalalignment='center', verticalalignment='center', size=text_size,color=rgba_to_fraction(color))
             for qq in range(1,10):