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29 results for “pypsa”
pypsa-earth_tutorial_networks
<p>Unsolved and solved networks for the tutorial config of pypsa-earth.</p>
Copernicus Climate Change Service data for the pypsa-entsoe Github repository
<p>Files needed for the https://github.com/matteodefelice/pypsa-entsoe repository.</p>
pypsa-usa-data
<p>Dataset for PyPSA-USA power systems model.</p> <p> </p> <p>- GEBCO Bathymetry Data for United States: https://www.gebco.net</p> <p>- Copernicus land-use data for the United States: https://zenodo.org/record/3939050</p>
Data Bundle for PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p><strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at <a href="https://github.com/PyPSA/PyPSA-eur">https://github.com/PyPSA/PyPSA-eur</a>.</p> <p><strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.</p> <p><strong>Not all data dependencies</strong> are shipped with the <a href="https://github.com/PyPSA/PyPSA-eur">code repository</a>, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles</strong> to be downloaded and extracted as noted in the <a href="https://pypsa-eur.readthedocs.io/en/latest/installation.html">documentation</a>.</p> <p>This is the <strong>full</strong> data bundle to be used for rigorous research. It includes large bathymetry and natural protection area datasets.</p> <p>While the <a href="https://github.com/PyPSA/PyPSA-eur">code</a> in PyPSA-Eur is released as free software under the MIT, <strong>different licenses and terms of use</strong> apply to the various input data, which are summarised below:</p> <p><strong>corine/*</strong></p> <ul> <li>CORINE Land Cover (CLC) database</li> <li><strong>Source:</strong> <a href="https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/">https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/</a></li> <li><strong>Terms of Use: </strong><a href="https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012?tab=metadata">https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012?tab=metadata</a></li> </ul> <p><strong>natura/*</strong></p> <ul> <li>Natura 2000 natural protection areas</li> <li><strong>Source:</strong> <a href="https://www.eea.europa.eu/data-and-maps/data/natura-10">https://www.eea.europa.eu/data-and-maps/data/natura-10</a></li> <li><strong>Terms of Use:</strong><a href="https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata"> https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata</a></li> </ul> <p><strong>gebco/GEBCO_2014_2D.nc</strong></p> <ul> <li>GEBCO bathymetric dataset</li> <li><strong>Source:</strong> <a href="https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20141103/">https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20141103/</a></li> <li><strong>Terms of Use: </strong><a href="https://www.gebco.net/data_and_products/gridded_bathymetry_data/documents/gebco_2014_historic.pdf">https://www.gebco.net/data_and_products/gridded_bathymetry_data/documents/gebco_2014_historic.pdf</a></li> </ul> <p><strong>je-e-21.03.02.xls</strong></p> <ul> <li>Population and GDP data for Swiss Cantons</li> <li><strong>Source:</strong> <a href="https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html">https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html</a></li> <li><strong>Terms of Use: <br></strong></li> <li><a href="https://www.bfs.admin.ch/bfs/en/home/fso/swiss-federal-statistical-office/terms-of-use.html">https://www.bfs.admin.ch/bfs/en/home/fso/swiss-federal-statistical-office/terms-of-use.html</a></li> <li><a href="https://www.bfs.admin.ch/bfs/de/home/bfs/oeffentliche-statistik/copyright.html">https://www.bfs.admin.ch/bfs/de/home/bfs/oeffentliche-statistik/copyright.html</a></li> </ul> <p><strong>nama_10r_3popgdp.tsv.gz</strong></p> <ul> <li>Population by NUTS3 region</li> <li><strong>Source:</strong> <a href="http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3popgdp&lang=en">http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3popgdp&lang=en</a></li> <li><strong>Terms of Use:</strong></li> <li><a href="https://ec.europa.eu/eurostat/about/policies/copyright">https://ec.europa.eu/eurostat/about/policies/copyright</a></li> </ul> <p><strong>GDP_per_capita_PPP_1990_2015_v2.nc</strong></p> <ul> <li>Gross Domestic Product per capita (PPP) from years 1999 to 2015</li> <li>Rectangular cutout for European countries in PyPSA-Eur, including a 10 km buffer</li> <li>Kummu et al. "Data from: Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015"</li> <li><strong>Source:</strong> https://doi.org/10.1038/sdata.2018.4 and associated dataset https://doi.org/10.1038/sdata.2018.4</li> </ul> <p><strong>ppp_2019_1km_Aggregated.tif</strong></p> <ul> <li>The spatial distribution of population in 2020: Estimated total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 30 arc (approximately 1km at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.</li> <li>Rectangular cutout for non-NUTS3 countries in PyPSA-Eur, i.e. MD and UA, including a 10 km buffer</li> <li>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</li> <li><strong>Source:</strong> https://data.humdata.org/dataset/worldpop-population-counts-for-world and https://hub.worldpop.org/geodata/summary?id=24777</li> <li><strong>License: </strong>Creative Commons Attribution 4.0 International Licens</li> </ul> <p><strong>data/bundle/era5-HDD-per-country.csv</strong></p> <p>- Link: https://gist.github.com/fneum/d99e24e19da423038fd55fe3a4ddf875<br>- License: CC-BY 4.0<br>- Contains country-level heating degree days in Europe for<br> 1941-2023. Used for rescaling heat demand in weather years not covered by<br> energy balance statistics.</p> <p><strong>data/bundle/era5-runoff-per-country.csv</strong></p> <p>- Link: https://gist.github.com/fneum/d99e24e19da423038fd55fe3a4ddf875<br>- License: CC-BY 4.0<br>- Contains country-level daily sum of runoff in Europe for<br> 1941-2023. Used for rescaling hydro-electricity availability in weather years<br> not covered by EIA hydro-generation statistics.</p> <p><strong>shipdensity_global.zip</strong></p> <ul> <li>Global Shipping Traffic Density</li> <li>Creative Commons Attribution 4.0</li> <li><a href="https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density">https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density</a></li> </ul> <p><strong>seawater_temperature.nc</strong></p> <ul> <li>Global Ocean Physics Reanalysis</li> <li>Seawater temperature at 5m depth</li> <li>Link: https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/services</li> <li>License: https://marine.copernicus.eu/user-corner/service-commitments-and-licence</li> </ul> <p><strong>hera_be_2013-03-01_to_2013-03-08.zip</strong></p> <ul> <li>Tilloy, A., Paprotny, D., Luc, F., Grimaldi, S., Goncalo, G., Hylcke, B., Lange, S., Bianchi, A. (2024): HERA: a high-resolution pan-European hydrological reanalysis (1950-2020).</li> <li>6-hourly river discharge and ambient temperature for 2019 at 1-arc minute spatial resolution. Subset to the PyPSA-Eur test cutout (2013-03-01 to 2013-03-08 for longitude 1.5 to 7 and latitude 49 to 52)</li> <li>Link: <a href="https://publications.pik-potsdam.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_29543">https://publications.pik-potsdam.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_29543</a></li> <li>License: <a href="https://data.jrc.ec.europa.eu/licence/com_reuse">https://data.jrc.ec.europa.eu/licence/com_reuse</a></li> </ul>
PyPSA-Eur Datasets for MyPyPSA-Ger
<p>Datasets from PyPSA-Eur model for usage in MyPyPSA-Ger model</p>
Repository of fully reproducible 193+ power systems images created with PyPSA-Earth for all UN countries
Open the record for dataset details and reuse information.
Supplementary Data: Code, Input Data and Model data: PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p>Supplementary Data (preliminary version)</p> <p>PyPSA-Eur: An Open Optimisation Model of the European Transmission System</p> <p>Authors: J. Hörsch, F. Hofmann, D. Schlachtberger, T. Brown</p> <p>and</p> <p>The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios</p> <p>Authors: J. Hörsch, T. Brown</p> <p>The files in this record contain the scripts to build a <a href="http://pypsa.org/">PyPSA</a> model of the European Electricity System including renewable feed-in from wind, solar and hydro installations derived from reanalysis weather data satellite irradiation. The model PyPSA-Eur is described in the above publication.</p> <p><strong>Scripts</strong></p> <p>To use the scripts, you need the following free software Python libraries:</p> <ul> <li><a href="https://github.com/PyPSA/PyPSA">PyPSA</a> for the modelling framework</li> <li><a href="https://github.com/FRESNA/vresutils">vresutils</a> for various helper functions to build the model instance</li> <li><a href="https://github.com/FRESNA/atlite">atlite</a> to process weather data into power system data</li> <li><a href="https://snakemake.readthedocs.io/en/latest/">snakemake</a> to organise the execution of the software</li> </ul> <p>and other standard libraries from the <a href="https://pypi.python.org/pypi">Python Package Index</a> (PyPI), such as pandas, pyomo, countrycode, etc.</p> <p>snakemake requires that all code runs with Python version 3. The code setup is known to work with the following versions: PyPSA 0.12.0, pandas 0.21.1, numpy 0.14.0, scipy 0.19.1, pyomo 5.2. You may need to downgrade your libraries to these versions for the scripts to work.</p> <p>The Python scripts in this repository (in the directory scripts/) are released under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GNU General Public Licence Version 3.0</a> (GPL 3.0).</p> <p>The scripts build_*.py process all raw input data into a form where it can be used in the model.</p> <p>base_network.py creates the initial PyPSA network topology.</p> <p>add_electricity.py adds generators and storage units to the models, it generates the detailed resolved model described in the PyPSA-Eur paper.</p> <p>simplify_network.py removes stub ac-buses from network topology and simplifies long dc lines.</p> <p>cluster_network.py creates clustered representations of the electricity network for a given number of buses following the topology described in the "spatial scale" paper.</p> <p>prepare_network.py adds parameters like the CO2 limit and the transmission expansion volume relevant for the optimization to the model.</p> <p>All scripts are managed with the <a href="http://snakemake.readthedocs.io/en/latest/">snakemake</a> workflow management tool.</p> <p>To run the scripts, adjust the parameters in config.yaml and cluster.yaml to your local configuration. Then simply execute</p> <pre><code>snakemake</code></pre> <p>for the rule you want to run.</p> <p><strong>Data</strong></p> <p>The input data include:</p> <ul> <li>Electricity sector data</li> <li>Topology derived from the analysis of an extract of the <a href="https://www.entsoe.eu/data/map/">ENTSO-E online map</a> using <a href="https://github.com/bdw/GridKit">GridKit</a> .</li> <li>A cost database with literature sources.</li> </ul> <p> </p>
pypsa-earth_tutorial_networks_zip
<p>unsolved and solved networks for pypsa-earth tutorial config</p>
PyPSA-USA Sector Coupled Dataset
Open the record for dataset details and reuse information.
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