PyGRETA

<div align="left"> <img src="doc\img\pyGRETA_logo.png" alt="pyGRETA_logo" width="160px"> </div>

python Generator of REnewable Time series and mAps: a tool that generates high-resolution potential maps and time series for user-defined regions within the globe.

Features

• Generation of potential maps and time series for user-defined regions within the globe
• Modeled technologies: onshore wind, offshore wind, PV, CSP (user-defined technology characteristics)
• Use of MERRA-2 reanalysis data, with the option to detect and correct outliers
• High resolution potential taking into account the land use suitability/availability, topography, bathymetry, slope, distance to urban areas, etc.
• Statistical reports with summaries (available area, maximum capacity, maximum energy output, etc.) for each user-defined region
• Generation of several time series for each technology and region, based on user's preferences
• Possibility to combine the time series into one using linear regression to match given full-load hours and temporal fluctuations

Applications

This code is useful if:

• You want to estimate the theoretical and/or technical potential of an area, which you can define through a shapefile
• You want to obtain high resolution maps
• You want to define your own technology characteristics
• You want to generate time series for an area after excluding parts of it that are not suitable for renewable power plants
• You want to generate multiple time series for the same area (best site, upper 10%, median, lower 25%, etc.)
• You want to match historical capacity factors of countries from the IRENA database

You do not need to use the code (but you can) if:

• You do not need to exclude unsuitable areas - use the Global Solar Atlas or Global Wind Atlas
• You only need time series for specific points - use other webtools such as Renewables.ninja
• You only need time series for administrative divisions (countries, NUTS-2, etc.), for which such data is readily available - see Renewables.ninja or EMHIRES

Outputs

Potential maps for solar PV and onshore wind in Australia, using weather data for 2015:

<div align="center"> <img src="doc\img\FLH_solar.png" alt="FLH_solar_PV_Australia_2015" width="400px"><img src="doc\img\FLH_wind.png" alt="FLH_wind_onshore_Australia_2015" width="400px"> </div> <div align="center"> <img src="doc\img\AustraliaQ50WindvsSolar.png" alt="Australia_PV_wo_quant" width="100%"> </div>

Contributors ✨

Thanks goes to these wonderful people (emoji key):

<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --> <!-- prettier-ignore-start --> <!-- markdownlint-disable --> <table> <tr> <td align="center"><a href="https://github.com/kais-siala"><img src="https://avatars2.githubusercontent.com/u/21306297?v=4?s=100" width="100px;" alt=""/><br />_{<b>kais-siala</b>}</a><br /><a href="#question-kais-siala" title="Answering Questions">💬</a> <a href="https://github.com/tum-ens/pyGRETA/issues?q=author%3Akais-siala" title="Bug reports">🐛</a> <a href="https://github.com/tum-ens/pyGRETA/commits?author=kais-siala" title="Code">💻</a> <a href="https://github.com/tum-ens/pyGRETA/commits?author=kais-siala" title="Documentation">📖</a> <a href="#ideas-kais-siala" title="Ideas, Planning, & Feedback">🤔</a> <a href="#maintenance-kais-siala" title="Maintenance">🚧</a> <a href="https://github.com/tum-ens/pyGRETA/pulls?q=is%3Apr+reviewed-by%3Akais-siala" title="Reviewed Pull Requests">👀</a> <a href="https://github.com/tum-ens/pyGRETA/commits?author=kais-siala" title="Tests">⚠️</a> <a href="#talk-kais-siala" title="Talks">📢</a></td> <td align="center"><a href="https://github.com/HoussameH"><img src="https://avatars2.githubusercontent.com/u/48953960?v=4?s=100" width="100px;" alt=""/><br />_{<b>HoussameH</b>}</a><br /><a href="#question-HoussameH" title="Answering Questions">💬</a> <a href="https://github.com/tum-ens/pyGRETA/commits?author=HoussameH" title="Code">💻</a> <a href="https://github.com/tum-ens/pyGRETA/commits?author=HoussameH" title="Documentation">📖</a></td> <td align="center"><a href="https://github.com/pgrimaud"><img src="https://avatars1.githubusercontent.com/u/1866496?v=4?s=100" width="100px;" alt=""/><br />_{<b>Pierre Grimaud</b>}</a><br /><a href="https://github.com/tum-ens/pyGRETA/issues?q=author%3Apgrimaud" title="Bug reports">🐛</a></td> <td align="center"><a href="https://github.com/thushara2020"><img src="https://avatars.githubusercontent.com/u/75068469?v=4?s=100" width="100px;" alt=""/><br />_{<b>thushara2020</b>}</a><br /><a href="https://github.com/tum-ens/pyGRETA/pulls?q=is%3Apr+reviewed-by%3Athushara2020" title="Reviewed Pull Requests">👀</a></td> <td align="center"><a href="https://github.com/lodersky"><img src="https://avatars.githubusercontent.com/u/36160124?v=4?s=100" width="100px;" alt=""/><br />_{<b>lodersky</b>}</a><br /><a href="https://github.com/tum-ens/pyGRETA/commits?author=lodersky" title="Documentation">📖</a> <a href="https://github.com/tum-ens/pyGRETA/commits?author=lodersky" title="Code">💻</a> <a href="https://github.com/tum-ens/pyGRETA/pulls?q=is%3Apr+reviewed-by%3Alodersky" title="Reviewed Pull Requests">👀</a></td> <td align="center"><a href="https://github.com/sonercandas"><img src="https://avatars.githubusercontent.com/u/17904824?v=4?s=100" width="100px;" alt=""/><br />_{<b>sonercandas</b>}</a><br /><a href="https://github.com/tum-ens/pyGRETA/commits?author=sonercandas" title="Documentation">📖</a></td> <td align="center"><a href="https://github.com/patrick-buchenberg"><img src="https://avatars.githubusercontent.com/u/84960180?v=4?s=100" width="100px;" alt=""/><br />_{<b>patrick-buchenberg</b>}</a><br /><a href="#platform-patrick-buchenberg" title="Packaging/porting to new platform">📦</a></td> </tr> <tr> <td align="center"><a href="https://github.com/molarana"><img src="https://avatars.githubusercontent.com/u/19924540?v=4?s=100" width="100px;" alt=""/><br />_{<b>molarana</b>}</a><br /><a href="#design-molarana" title="Design">🎨</a></td> </tr> </table> <!-- markdownlint-restore --> <!-- prettier-ignore-end --> <!-- ALL-CONTRIBUTORS-LIST:END -->

This project follows the all-contributors specification. Contributions of any kind welcome!

Please cite as:

Kais Siala, & Houssame Houmy. (2020, June 1). tum-ens/pyGRETA: python Generator of REnewable Time series and mAps (Version v1.1.0). Zenodo. https://doi.org/10.5281/zenodo.3727416