atlite 0.5.0

Library for fetching and converting weather data to power systems data

atlite

atlite is a free software, xarray-based Python library for converting weather data (like wind speeds, solar influx) into energy systems data. It is designed to be lightweight, keeping computing resource requirements (CPU, RAM) usage low. It is therefore well suited to be used with big weather datasets.

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.

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.

With atlite we want to provide an interface between the meteorological and energy systems modelling communities.

Traditionally the MET and ESM communities have not been interacting much. The outputs and learning of one community were only slowly adapted into the other community.

With atlite we want bridge between the communities: We want to make it easy to use and integrate outputs of the MET communities into energy system models, by offering standardized ways of accessing weather/climate datasets and converting them to weather-dependent inputs for ESMs.

For major next development goals, consult our vision and roadmap project or check our list of possible enhancements.

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.

Support & Contributing

• In case of code-related questions, please post on stack overflow.

• For non-programming related and more general questions please refer to the pypsa mailing list.

• To discuss with other PyPSA and atlite users, organise projects, share news, and get in touch with the community you can use the discord server.

• For bugs and feature requests, please use the issue tracker.

• We strongly welcome anyone interested in providing contributions to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on the Github repository.

Authors and Copyright

Copyright (C) Contributors to atlite <https://github.com/pypsa/atlite>

See the AUTHORS for details.

Licence

This work is licensed under multiple licences:

• All original source code is licensed under MIT

• 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.