Tags

v2025.04.0

v2025.01.0

v0.13.0

v0.12.0

v0.11.0

PyPSA-Eur 0.11.0 (25th May 2024)
Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.10.0

PyPSA-Eur 0.10.0 (19th February 2024)
Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.9.0

PyPSA-Eur 0.9.0 (5th January 2024)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.8.1

PyPSA-Eur 0.8.1 (27th July 2023)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.8.0

PyPSA-Eur 0.8.0 (18th March 2023)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.7.0

PyPSA-Eur 0.7.0 (16th February 2023)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.6.1

PyPSA-Eur 0.6.1 (20th September 2022)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.6.0

PyPSA-Eur 0.6.0 (10th September 2022)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.5.0

PyPSA-Eur 0.5.0 (27th July 2022)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

synchronisation-release

PyPSA-Eur (18th March 2022)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.4.0

PyPSA-Eur 0.4.0 (22nd September 2021)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.3.0

PyPSA-Eur 0.3.0 (7th December 2020)

Full release notes:
https://pypsa-eur.readthedocs.io/en/latest/release_notes.html

v0.2.0

PyPSA-Eur 0.2.0 (8th June 2020)

    The optimization is now performed using the pyomo=False setting in the pypsa.lopf.network_lopf(). This speeds up the solving process significantly and consumes much less memory. The inclusion of additional constraints were adjusted to the new implementation. They are all passed to the network_lopf() function via the extra_functionality argument. The rule trace_solve_network was integrated into the rule solve_network and can be activated via configuration with solving: options: track_iterations: true. The charging and discharging capacities of batteries modelled as store-link combination are now coupled (#116).

    An updated extract of the ENTSO-E Transmission System Map (including Malta) was added to the repository using the GridKit tool. This tool has been updated to retrieve up-to-date map extracts using a single script. The update extract features 5322 buses, 6574 lines, 46 links. (#118).

    Added FSFE REUSE compliant license information. Documentation now licensed under CC-BY-4.0 (#160).

    Added a 30 minute video introduction and a 20 minute video tutorial

    Networks now store a color and a nicely formatted name for each carrier, accessible via n.carrier['color'] and n.carrier['nice_name'] (networks after elec.nc).

    Added an option to skip iterative solving usually performed to update the line impedances of expanded lines at solving: options: skip_iterations; .

    snakemake rules for retrieving cutouts and the natura raster can now be disabled independently from their respective rules to build them; via config.*yaml (#136).

    Removed the id column for custom power plants in data/custom_powerplants.csv to avoid custom power plants with conflicting ids getting attached to the wrong bus (#131).

    Add option renewables: {carrier}: keep_all_available_areas:  to use all availabe weather cells for renewable profile and potential generation. The default ignores weather cells where only less than 1 MW can be installed (#150).

    Added a function _helpers.load_network() which loads a network with overridden components specified in snakemake.config['override_components'] (#128).

    Bugfix in base_network which now finds all closest links, not only the first entry (#143).

    Bugfix in cluster_network which now skips recalculation of link parameters if there are no links (#149).

    Added information on pull requests to contribution guidelines (#151).

    Improved documentation on open-source solver setup and added usage warnings.

    Updated conda environment regarding pypsa, pyproj, gurobi, lxml. This release requires PyPSA v0.17.0.

v0.1.0

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).

v0.1.0rc