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Solved import Error of Rasterio | Solved 3 Warnings #16

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Solved import Error of Rasterio | Solved 3 Warnings #16

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1 change: 1 addition & 0 deletions get_weather_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@

"""
import logging
from osgeo import gdal
import atlite
# import geopandas as gpd
import pandas as pd
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1 change: 1 addition & 0 deletions map_costs.py
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Expand Up @@ -8,6 +8,7 @@
This script visualizes the spatial cost of hydrogen for each demand center.
"""

from osgeo import gdal
import geopandas as gpd
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
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7 changes: 4 additions & 3 deletions optimize_hydrogen_plant.py
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Expand Up @@ -9,6 +9,7 @@

"""

from osgeo import gdal
import atlite
import geopandas as gpd
import pypsa
Expand Down Expand Up @@ -60,9 +61,9 @@ def demand_schedule(quantity, transport_state, transport_excel_path,
# schedule for trucking
annual_deliveries = quantity/truck_capacity
quantity_per_delivery = quantity/annual_deliveries
index = pd.date_range(start_date, end_date, periods=annual_deliveries)
index = pd.date_range(start_date, end_date, periods=int(annual_deliveries))
trucking_demand_schedule = pd.DataFrame(quantity_per_delivery, index=index, columns = ['Demand'])
trucking_hourly_demand_schedule = trucking_demand_schedule.resample('H').sum().fillna(0.)
trucking_hourly_demand_schedule = trucking_demand_schedule.resample('h').sum().fillna(0.)

# schedule for pipeline
index = pd.date_range(start_date, end_date, freq = 'H')
Expand Down Expand Up @@ -171,7 +172,7 @@ def optimize_hydrogen_plant(wind_potential, pv_potential, times, demand_profile,
)
# Output results

lcoh = n.objective/(n.loads_t.p_set.sum()[0]/39.4*1000) # convert back to kg H2
lcoh = n.objective/(n.loads_t.p_set.sum().iloc[0]/39.4*1000) # convert back to kg H2
wind_capacity = n.generators.p_nom_opt['Wind']
solar_capacity = n.generators.p_nom_opt['Solar']
electrolyzer_capacity = n.links.p_nom_opt['Electrolysis']
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