{"id":13723288,"url":"https://github.com/tum-ens/pyGRETA","last_synced_at":"2025-05-07T16:32:32.332Z","repository":{"id":46708742,"uuid":"174577484","full_name":"tum-ens/pyGRETA","owner":"tum-ens","description":"python Generator of REnewable Time series and mAps","archived":false,"fork":false,"pushed_at":"2022-04-20T09:45:25.000Z","size":234690,"stargazers_count":43,"open_issues_count":11,"forks_count":15,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-04-25T13:03:50.415Z","etag":null,"topics":["csp","gis","high-resolution","potentials","pv","renewable-energy","renewable-timeseries","wind"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tum-ens.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-03-08T17:08:33.000Z","updated_at":"2025-04-25T07:47:26.000Z","dependencies_parsed_at":"2022-07-19T18:03:47.010Z","dependency_job_id":null,"html_url":"https://github.com/tum-ens/pyGRETA","commit_stats":null,"previous_names":[],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tum-ens%2FpyGRETA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tum-ens%2FpyGRETA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tum-ens%2FpyGRETA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tum-ens%2FpyGRETA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tum-ens","download_url":"https://codeload.github.com/tum-ens/pyGRETA/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251732624,"owners_count":21634797,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["csp","gis","high-resolution","potentials","pv","renewable-energy","renewable-timeseries","wind"],"created_at":"2024-08-03T01:01:38.563Z","updated_at":"2025-05-07T16:32:32.227Z","avatar_url":"https://github.com/tum-ens.png","language":"Python","funding_links":[],"categories":["Energy Systems","Energy System Assessment"],"sub_categories":["Renewable Energy Integration","Analysis"],"readme":"\u003cdiv align=\"left\"\u003e\n\u003cimg src=\"doc\\img\\pyGRETA_logo.png\" alt=\"pyGRETA_logo\" width=\"160px\"\u003e\n\u003c/div\u003e\n\n[![Documentation Status](https://readthedocs.org/projects/pygreta/badge/?version=latest)](http://pyGRETA.readthedocs.io/en/latest/?badge=latest)\n[![DOI](https://zenodo.org/badge/174577484.svg)](https://zenodo.org/badge/latestdoi/174577484)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\n[![All Contributors](https://img.shields.io/badge/all_contributors-8-orange.svg?style=flat-square)](#contributors)\n\n**py**thon **G**enerator of **RE**newable **T**ime series and m**A**ps: a tool that generates high-resolution potential maps and time series for user-defined regions within the globe.\n\n## Features\n\n* Generation of potential maps and time series for user-defined regions within the globe\n* Modeled technologies: onshore wind, offshore wind, PV, CSP (user-defined technology characteristics)\n* Use of MERRA-2 reanalysis data, with the option to detect and correct outliers\n* High resolution potential taking into account the land use suitability/availability, topography, bathymetry, slope, distance to urban areas, etc.\n* Statistical reports with summaries (available area, maximum capacity, maximum energy output, etc.) for each user-defined region\n* Generation of several time series for each technology and region, based on user's preferences\n* Possibility to combine the time series into one using linear regression to match given full-load hours and temporal fluctuations\n\n## Applications\n\nThis code is useful if:\n\n* You want to estimate the theoretical and/or technical potential of an area, which you can define through a shapefile\n* You want to obtain high resolution maps\n* You want to define your own technology characteristics\n* You want to generate time series for an area after excluding parts of it that are not suitable for renewable power plants\n* You want to generate multiple time series for the same area (best site, upper 10%, median, lower 25%, etc.)\n* You want to match historical capacity factors of countries from the IRENA database\n\nYou do not need to use the code (*but you can*) if:\n\n* You do not need to exclude unsuitable areas - use the [Global Solar Atlas](https://globalsolaratlas.info/) or [Global Wind Atlas](https://globalwindatlas.info/)\n* You only need time series for specific points - use other webtools such as [Renewables.ninja](https://www.renewables.ninja/)\n* You only need time series for administrative divisions (countries, NUTS-2, etc.), for which such data is readily available - see [Renewables.ninja](https://www.renewables.ninja/) or [EMHIRES](https://ec.europa.eu/jrc/en/scientific-tool/emhires)\n\n## Outputs\n\nPotential maps for solar PV and onshore wind in Australia, using weather data for 2015:\n\u003cdiv align=\"center\"\u003e\n\u003cimg src=\"doc\\img\\FLH_solar.png\" alt=\"FLH_solar_PV_Australia_2015\" width=\"400px\"\u003e\u003cimg src=\"doc\\img\\FLH_wind.png\" alt=\"FLH_wind_onshore_Australia_2015\" width=\"400px\"\u003e\n\u003c/div\u003e\n\u003cdiv align=\"center\"\u003e\n\u003cimg src=\"doc\\img\\AustraliaQ50WindvsSolar.png\" alt=\"Australia_PV_wo_quant\" width=\"100%\"\u003e\n\u003c/div\u003e\n \n## Contributors ✨\n\nThanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):\n\n\u003c!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --\u003e\n\u003c!-- prettier-ignore-start --\u003e\n\u003c!-- markdownlint-disable --\u003e\n\u003ctable\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/kais-siala\"\u003e\u003cimg src=\"https://avatars2.githubusercontent.com/u/21306297?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003ekais-siala\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"#question-kais-siala\" title=\"Answering Questions\"\u003e💬\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/issues?q=author%3Akais-siala\" title=\"Bug reports\"\u003e🐛\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=kais-siala\" title=\"Code\"\u003e💻\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=kais-siala\" title=\"Documentation\"\u003e📖\u003c/a\u003e \u003ca href=\"#ideas-kais-siala\" title=\"Ideas, Planning, \u0026 Feedback\"\u003e🤔\u003c/a\u003e \u003ca href=\"#maintenance-kais-siala\" title=\"Maintenance\"\u003e🚧\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/pulls?q=is%3Apr+reviewed-by%3Akais-siala\" title=\"Reviewed Pull Requests\"\u003e👀\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=kais-siala\" title=\"Tests\"\u003e⚠️\u003c/a\u003e \u003ca href=\"#talk-kais-siala\" title=\"Talks\"\u003e📢\u003c/a\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/HoussameH\"\u003e\u003cimg src=\"https://avatars2.githubusercontent.com/u/48953960?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003eHoussameH\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"#question-HoussameH\" title=\"Answering Questions\"\u003e💬\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=HoussameH\" title=\"Code\"\u003e💻\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=HoussameH\" title=\"Documentation\"\u003e📖\u003c/a\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/pgrimaud\"\u003e\u003cimg src=\"https://avatars1.githubusercontent.com/u/1866496?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003ePierre Grimaud\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"https://github.com/tum-ens/pyGRETA/issues?q=author%3Apgrimaud\" title=\"Bug reports\"\u003e🐛\u003c/a\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/thushara2020\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/75068469?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003ethushara2020\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"https://github.com/tum-ens/pyGRETA/pulls?q=is%3Apr+reviewed-by%3Athushara2020\" title=\"Reviewed Pull Requests\"\u003e👀\u003c/a\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/lodersky\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/36160124?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003elodersky\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=lodersky\" title=\"Documentation\"\u003e📖\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=lodersky\" title=\"Code\"\u003e💻\u003c/a\u003e \u003ca href=\"https://github.com/tum-ens/pyGRETA/pulls?q=is%3Apr+reviewed-by%3Alodersky\" title=\"Reviewed Pull Requests\"\u003e👀\u003c/a\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/sonercandas\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/17904824?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003esonercandas\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"https://github.com/tum-ens/pyGRETA/commits?author=sonercandas\" title=\"Documentation\"\u003e📖\u003c/a\u003e\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/patrick-buchenberg\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/84960180?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003epatrick-buchenberg\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"#platform-patrick-buchenberg\" title=\"Packaging/porting to new platform\"\u003e📦\u003c/a\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003e\u003ca href=\"https://github.com/molarana\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/u/19924540?v=4?s=100\" width=\"100px;\" alt=\"\"/\u003e\u003cbr /\u003e\u003csub\u003e\u003cb\u003emolarana\u003c/b\u003e\u003c/sub\u003e\u003c/a\u003e\u003cbr /\u003e\u003ca href=\"#design-molarana\" title=\"Design\"\u003e🎨\u003c/a\u003e\u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n\u003c!-- markdownlint-restore --\u003e\n\u003c!-- prettier-ignore-end --\u003e\n\n\u003c!-- ALL-CONTRIBUTORS-LIST:END --\u003e\n\nThis project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!\n\n## Please cite as:\n\nKais Siala, \u0026 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\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftum-ens%2FpyGRETA","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftum-ens%2FpyGRETA","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftum-ens%2FpyGRETA/lists"}