Changelog

v0.1.0 (2021-10-21)

Initial public release of pommesdispatch available on PyPI

  • Fixed architecture and docs

  • Made input data dependent on years / flexible for years from pommesdata (2017 until 2030)

  • Introduced console scripts for configuring and running

  • Added poetry build

  • Added tests (with coverage of 88%)

  • Added linting CI

  • Included CITATION.cff

  • Used version numbering convention

v0.0.2 (2021-09-03)

  • Added a draft sphinx documentation

  • Allowed configuring of model via yaml

  • introduced console script

v0.0.1 (2021-08-05)

Initial release of pommesdispatch

Welcome to the POMMES cosmos!

A bottom-up fundamental power market model for the German electricity sector

Features:

  • pommesdispatch is the dispatch variant of POMMES that allows to simulate dispatch decisions and power prices for Germany in hourly resolution for one year (or shorter time frames).

  • pommesdispatch allows for negative power prices due to its in-depth representation of renewable plants in the market premium scheme.

  • Consistent input data sets for POMMES models can be obtained from pommesdata, supporting years between 2017 and 2030 and taking into account various open data sources.

  • All POMMES models are easy to adjust and extend because it is build on top of oemof.solph.

Stay tuned for upcoming releases as well as the data preparation package pommesdata and the investment variant pommes-invest!