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Atlite: Light-weight version of Aarhus RE Atlas for converting weather data to power systems data

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Atlite with improvements allowing to download and use CMIP6 models within Atlite

This branch was created for the purpose of ananlyzing effects of climate change in the end of century on wind and solar energy. For this purpose, CMIP6 climate models were used within Atlite, therefore, some improvements within Atlite had to be made. The full work is briefly described in the commit descriptions. Main improvements include:

  • Ability to use CMIP6 models
  • Use of multiple temporal frequencies for climate model variables
  • Use of multiple wind speed height levels used to calculate wind speed at hub height (based on power law)
  • Calculation of capacity factors per cell (without performing aggregation)

The documentation below is retrevied from the main branch of Atlite.

Atlite

PyPI version Conda version Documentation Status ci codecov standard-readme compliant GPL-3-or-later-image reuse Code style: black pre-commit.ci status joss

Atlite is a free software, xarray-based Python library for converting weather data (like wind speeds, solar influx) into energy systems data. It has a lightweight design and works with big weather datasets while keeping the resource requirements especially on CPU and RAM resources low.

Atlite can process the following weather data fields and can convert them into following power-system relevant time series for any subsets of a full weather database.

doc/workflow_chart.png

Atlite was initially developed by the Renewable Energy Group at FIAS to carry out simulations for the CoNDyNet project, financed by the German Federal Ministry for Education and Research (BMBF) as part of the Stromnetze Research Initiative.

Installation

To install you need a working installation running Python 3.6 or above and we strongly recommend using either miniconda or anaconda for package management.

To install the current stable version:

with conda from conda-forge

conda install -c conda-forge atlite

with pip from pypi

pip install atlite

to install the most recent upstream version from GitHub

pip install git+https://github.com/pypsa/atlite.git

Documentation

Please check the documentation.

Contributing

If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests.

Authors and Copyright

Copyright (C) 2016-2021 The Atlite Authors.

See the AUTHORS for details.

Licence

GPL-3-or-later-image

This work is licensed under multiple licences:

  • All original source code is licensed under GPL-3.0-or-later.
  • Auxiliary code from SPHINX is licensed under BSD-2-Clause.
  • The documentation is licensed under CC-BY-4.0.
  • Configuration and data files are mostly licensed under CC0-1.0.

See the individual files for license details.

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Atlite: Light-weight version of Aarhus RE Atlas for converting weather data to power systems data

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