Recent Releases of pommesdispatch
pommesdispatch - POMMES goes public
We are happy to announce the initial public release of pommesdispatch which is now also available on PyPI.
This is POMMES, 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 pommes-data and the investment variant pommes-invest!
We have included quite some improvements to our code. Just to name a few:
* pommesdispatch can now be configured via a yaml file and run in a console.
* Tests have been integrated achieving a code coverage of almost 90%.
* pommesdispatch models can now be run for any year between 2017 and 2030.
- Python
Published by jokochems over 4 years ago
pommesdispatch - POMMES using yaml and sphinx
In this release, we included:
* a more comfortable and clean option to control the model settings via a config.yml file using the human-readable YAML format.
* a draft for a sphinx documentation with still some open work to do.
* Some improvements in architecture and a console script for running pommes_dispatch (run_pommes_dispatch).
The upcoming release for v0.0.3 is already on its way and will include the open bugfixes as well as a first time PyPI hosting of pommes_dispatch. Stay tuned and hungry for more POMMES. ;-)
- Python
Published by jokochems over 4 years ago
pommesdispatch - POMMES's very first release
This is POMMES, A bottom-up fundamental power market model for the German electricity sector
Features:
* pommes-dispatch 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).
* pommes-dispatch 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 pommes-data, 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 pommes-data and the investment variant pommes-invest!
- Python
Published by jokochems almost 5 years ago