PyPSA Version 0.16.0
Hyperlinked release notes can be found here:This is the first release of PyPSA-Eur, a model of the European power system at the transmission network level. Recent changes include:
Documentation on installation, workflows and configuration settings is now available online at pypsa-eur.readthedocs.io (#65).
The conda environment files were updated and extended (#81).
The power plant database was updated with extensive filtering options via pandas.query functionality (#84 and #94).
Continuous integration testing with Travis CI is now included for Linux, Mac and Windows (#82).
Data dependencies were moved to zenodo and are now versioned (#60).
Data dependencies are now retrieved directly from within the snakemake workflow (#86).
Emission prices can be added to marginal costs of generators through the keyworks Ep in the {opts} wildcard (#100).
An option is introduced to add extendable nuclear power plants to the network (#98).
Focus weights can now be specified for particular countries for the network clustering, which allows to set a proportion of the total number of clusters for particular countries (#87).
A new rule add_extra_components allows to add additional components to the network only after clustering. It is thereby possible to model storage units (e.g. battery and hydrogen) in more detail via a combination of Store, Link and Bus elements (#97).
Hydrogen pipelines (including cost assumptions) can now be added alongside clustered network connections in the rule add_extra_components . Set electricity: extendable_carriers: Link: [H2 pipeline] and ensure hydrogen storage is modelled as a Store. This is a first simplified stage (#108).
Logfiles for all rules of the snakemake workflow are now written in the folder log/ (#102).
The new function _helpers.mock_snakemake creates a snakemake object which mimics the actual snakemake object produced by workflow by parsing the Snakefile and setting all paths for inputs, outputs, and logs. This allows running all scripts within a (I)python terminal (or just by calling python <script-name>) and thereby facilitates developing and debugging scripts significantly (#107).