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March 23, 2022 11:38
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June 8, 2021 18:05
March 23, 2022 11:38
March 8, 2019 18:08
July 9, 2021 21:48
September 26, 2019 15:10
pyGRETA_logo

Documentation Status DOI Code style: black License: GPL v3 All Contributors

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:

Outputs

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

FLH_solar_PV_Australia_2015FLH_wind_onshore_Australia_2015
Australia_PV_wo_quant

Contributors

Thanks goes to these wonderful people (emoji key):


kais-siala

💬 🐛 💻 📖 🤔 🚧 👀 ⚠️ 📢

HoussameH

💬 💻 📖

Pierre Grimaud

🐛

thushara2020

👀

lodersky

📖 💻 👀

sonercandas

📖

patrick-buchenberg

📦

molarana

🎨

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