New Atlite Version
Fabian Hofmann
Dear Openmodders!
We are happy to announce our new version 0.2.1 of Atlite.
Atlite is a light-weight python package for converting reanalysis
weather datasets into time series and potentials for energy
systems,
such as generation data for solar PV, solar thermal collectors,
wind turbines,
run-of-river power plants, hydro-electric dams, heating demand
degree days and heat pump coefficients of performance. It uses
reanalysis
weather data and computes the dynamic and/or static capacity
factors at all sites. We designed the package such that scaling to
large areas and time-spans still runs fast, thanks to the nice
packages xarray and dask. The newest version also provides fast
routines for land-use
calculations, i.e. exclusion of areas like natural reserves,
industrial
areas etc. as provided by the Corine
Land Cover database.
We wrote a detailed documentation
with multiple
usage examples. The source code can be found at
https://github.com/PyPSA/atlite.
You can install the package via pypi (`pip install atlite`) or
conda (`conda install -c conda-forge atlite`).
If you're already using atlite and upgrading be mindful of the
breaking
changes introduced with the new version (see the release notes for
details).
So far the package may be used with ERA5
reanalysis data (automatic data retrieval provided) and SARAH
(manual download required).
We are happy to receive feedback, or even better to get
contributions to
the code (raise an issue or draft a pull request in the repo).
There will be a paper soon that you can cite if you use
atlite.
Best,
(On behalf of the developers)
Fabian Hofmann
Developers:
Jonas Hörsch
Fabian Hofmann
Johannes Hammp
Tom Brown
Fabian Neumann
Thanks to all external contributors.