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PyPSA-Eur-Sec Version 0.2.0
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@nworbmot nworbmot released this 21 Aug 10:38
· 899 commits to master since this release
v0.2.0
515416f

Please see the release notes for detailed information.

This release introduces pathway optimization over many years (e.g. 2020, 2030, 2040, 2050) with myopic foresight, as well as outsourcing the technology assumptions to the technology-data repository.

It is known to work with PyPSA-Eur v0.1.0 (commit bb3477c), PyPSA v0.17.1 and technology-data v0.1.0.

New features:

  • Option for pathway optimization with myopic foresight, based on the paper Early decarbonisation of the European Energy system pays off (2020). Investments are optimized sequentially for multiple years (e.g. 2020, 2030, 2040, 2050) taking account of existing assets built in previous years and their lifetimes. The script uses data on the existing assets for electricity and building heating technologies, but there are no assumptions yet for existing transport and industry (if you include these, the model will greenfield them). To use myopic foresight, set foresight : 'myopic' in the config.yaml instead of the default foresight : 'overnight'. An example configuration can be found in config.myopic.yaml. More details on the implementation can be found in Myopic transition path.
  • Technology assumptions (costs, efficiencies, etc.) are no longer stored in the repository. Instead, you have to install the technology-data database in a parallel directory. These assumptions are largely based on the Danish Energy Agency Technology Data. More details on the installation can be found in Installation.
  • Logs and benchmarks are now stored with the other model outputs in results/run-name/.
  • All buses now have a location attribute, e.g. bus DE0 3 urban central heat has a location of DE0 3.
  • All assets have a lifetime attribute (integer in years). For the myopic foresight, a build_year attribute is also stored.
  • Costs for solar and onshore and offshore wind are recalculated by PyPSA-Eur-Sec based on the investment year, including the AC or DC connection costs for offshore wind.

Many thanks to Marta Victoria for implementing the myopic foresight, and Marta Victoria, Kun Zhu and Lisa Zeyen for developing the technology assumptions database.

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