Skip to content

Latest commit

 

History

History
579 lines (432 loc) · 27.2 KB

data_sources.rst

File metadata and controls

579 lines (432 loc) · 27.2 KB
Raw

Data Sources

PyPSA-Eur is combiled from a variety of data sources. The following table provides an overview of the data sources used in PyPSA-Eur. Different licenses apply to the data sources.

Zenodo data bundle

Data in this section is downloaded and extracted from the Zenodo data bundle (https://zenodo.org/records/12760663). Files included in the data bundle are too large to be placed directly in the repository, have been reduced in spatial scope to reduce file size, or are not provided through stable URLs elsewhere.

data/bundle/je-e-21.03.02.xls

data/bundle/NUTS_2013_60M_SH

data/bundle/nama_10r_3popgdp.tsv.gz

data/bundle/nama_10r_3gdp.tsv.gz

data/bundle/corine

data/bundle/eea

data/bundle/emobility

data/bundle/h2_salt_caverns_GWh_per_sqkm.geojson

  • Source: Dilara Gulcin Caglayan, Nikolaus Weber, Heidi U. Heinrichs, Jochen Linßen, Martin Robinius, Peter A. Kukla, Detlef Stolten, Technical potential of salt caverns for hydrogen storage in Europe, International Journal of Hydrogen Energy, Volume 45, Issue 11, 2020, Pages 6793-6805.
  • Link: https://doi.org/10.1016/j.ijhydene.2019.12.161
  • License: CC-BY 4.0
  • Description: Contains geological hydrogen storage potentials for Europe.

data/bundle/natura

data/bundle/gebco

data/bundle/GDP_per_capita_PPP_1990_2015_v2.nc

data/bundle/ppp_2013_1km_Aggregated.tif

  • Source: WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00647
  • Link: https://hub.worldpop.org/doi/10.5258/SOTON/WP00647
  • License: CC-BY 4.0 (reference)
  • Description: Gridded population data.

Specific retrieval rules

Data in this section is retrieved and extracted in rules specified in rules/retrieve.smk.

data/nuts

data/ENSPRESO_BIOMASS.xlsx

data/complete_map_2020_unit_Mt.geojson

data/myb1-2022-nitro-ert.xlsx

data/Industrial_Database.csv

  • Source: Simon Pezzutto, Stefano Zambotti, Silvia Croce, Pietro Zambelli, Giulia Garegnani, Chiara Scaramuzzino, Ramón Pascual Pascuas, Alyona Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Mueller (e-think), Michael Hartner (TUW), Tobias Fleiter, Anna-Lena Klingler, Matthias Kuehnbach, Pia Manz, Simon Marwitz, Matthias Rehfeldt, Jan Steinbach, Eftim Popovski (Fraunhofer ISI) Reviewed by Lukas Kranzl, Sara Fritz (TUW) Hotmaps Project, D2.3 WP2 Report - Open Data Set for the EU28, 2018 https://www.hotmaps-project.eu
  • Link: https://gitlab.com/hotmaps/industrial_sites/industrial_sites_Industrial_Database
  • License: CC-BY 4.0 (reference)
  • Description: Contains georeferenced industrial sites of energy-intensive industry sectors, together with GHG-emissions, production capacity, fuel demand and excess heat potentials calculated from emission and production data.

data/eurostat/Balances-April2023

data/eurostat/eurostat-household_energy_balances-february_2024.csv

data/jrc-idees-2021

  • Source: Rózsai, M., Jaxa-Rozen, M., Salvucci, R., Sikora, P., Tattini, J. and Neuwahl, F., JRC-IDEES-2021: the Integrated Database of the European Energy System - Data update and technical documentation, Publications Office of the European Union, Luxembourg, 2024, doi:10.2760/614599, JRC137809.
  • Link: https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/JRC-IDEES/JRC-IDEES-2021_v1
  • License: CC-BY 4.0 (reference)
  • Description: Contains more granular energy balances for Europe.

data/gas_network

data/electricity_demand_raw.csv

data/load_synthetic_raw.csv

data/shipdensity_global.zip

data/Copernicus_LC100_global_v3.0.1_2019-nrt_Discrete-Classification-map_EPSG-4326.tif

  • Source: Marcel Buchhorn, Bruno Smets, Luc Bertels, Bert De Roo, Myroslava Lesiv, Nandin-Erdene Tsendbazar, Martin Herold, & Steffen Fritz. (2020). Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe (V3.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3939050
  • Link: https://zenodo.org/records/3939050
  • License: CC-BY 4.0 (reference)
  • Description: Contains rastered land cover and land use data.

data/LUISA_basemap_020321_50m.tif

data/eez

data/worldbank

data/naturalearth

data/gem/Europe-Gas-Tracker-2024-05.xlsx

data/gem/Global-Steel-Plant-Tracker-April-2024-Standard-Copy-V1.xlsx

  • Source: Global Energy Monitor
  • Link: https://globalenergymonitor.org/projects/global-steel-plant-tracker/
  • License: CC-BY 4.0 (reference)
  • Description: The Global Steel Plant Tracker (GSPT) provides information on global crude iron and steel production plants, and includes every plant currently operating with a capacity of five hundred thousand tonnes per year (ttpa) or more of crude iron or steel.

data/WDPA.gpkg

data/WDPA_WDOECM_marine.gpkg

data/osm-prebuilt

data/osm-raw

cutouts

resources/costs_{year}.csv

resources/powerplants.csv

Repository

Data in this section is included in the PyPSA-Eur repository in the data folder.

data/entsoegridkit

data/existing_infrastructure

data/retro/comparative_level_investment.csv

data/retro/data_building_stock.csv

  • Source: Simon Pezzutto, Stefano Zambotti, Silvia Croce, Pietro Zambelli, Giulia Garegnani, Chiara Scaramuzzino, Ramón Pascual Pascuas, Alyona Zubaryeva, Franziska Haas, Dagmar Exner (EURAC), Andreas Müller (e-think), Michael Hartner (TUW), Tobias Fleiter, Anna-Lena Klingler, Matthias Kühnbach, Pia Manz, Simon Marwitz, Matthias Rehfeldt, Jan Steinbach, Eftim Popovski (Fraunhofer ISI) Reviewed by Lukas Kranzl, Sara Fritz (TUW) Hotmaps Project, D2.3 WP2 Report - Open Data Set for the EU28, 2018 www.hotmaps-project.eu
  • Link: https://gitlab.com/hotmaps/building-stock
  • License: CC-BY 4.0
  • Description: Contains data on European building stock.

data/retro/electricity_taxes_eu.csv

data/retro/{floor_area_missing,u_values_poland}.csv

  • Source: EU Building Stock Observatory
  • Link: https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory
  • License: custom
  • Description: The EU Building Stock Observatory monitors the energy performance of buildings across Europe. It assesses improvements in the energy efficiency of buildings and the impact of this on the actual energy consumption of the buildings sector overall.

data/retro/retro_cost_germany.csv

data/retro/window_assumptions.csv

data/transmission_projects/nep

data/transmission_projects/tyndp2020

data/ammonia_plants.csv

data/attributed_ports.json

data/cement_plants-noneu.csv

data/ch_cantons.csv

data/ch_industrial_production_per_subsector.csv

data/district_heat_share.csv

data/egs_costs.json

  • Source: Arman Aghahosseini, Christian Breyer, From hot rock to useful energy: A global estimate of enhanced geothermal systems potential, Applied Energy, Volume 279, 2020, 115769.
  • Link: https://doi.org/10.1016/j.apenergy.2020.115769
  • License: unknown
  • Description: Contains rastered potentials and capital costs for enhanced geothermal electricity generation in Europe.

data/eia_hydro_annual_capacity.csv

data/eia_hydro_annual_generation.csv

data/era5-annual-HDD-per-country.csv

data/era5-annual-runoff-per-country.csv

data/gr-e-11.03.02.01.01-cc.csv

data/heat_load_profile_BDEW.csv

  • Source: oemof/demandlib
  • Link: https://github.com/oemof/demandlib
  • License: unknown
  • Description: Contains standard heat load profiles based on data from BDEW (German Association of Energy and Water Industries).

data/hydro_capacities.csv

Warning

The provenance of the data is unclear. We will improve this in the future.

data/links_p_nom.csv

data/nuclear_p_max_pu.csv

data/refineries-noneu.csv

data/switzerland-new_format-all_years.csv

data/unit_commitment.csv

data/biomass_transport_costs_supply_chain{1,2}.csv