PyPSA-Eur-Sec

A Sector-Coupled Open Optimisation Model of the European Energy System.
https://github.com/pypsa/pypsa-eur-sec

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energy energy-model energy-system energy-system-model pypsa

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PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System

README.md

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PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System

PyPSA-Eur-Sec v0.7.0 has been merged into PyPSA-Eur with version v0.8.0. Please go to PyPSA-Eur to run sector-coupling studies for the European energy system with PyPSA. This repository is now deprecated!

PyPSA-Eur-Sec is an open model dataset of the European energy system at the
transmission network level that covers the full ENTSO-E area.

PyPSA-Eur-Sec builds on the electricity generation and transmission
model PyPSA-Eur to add demand
and supply for the following sectors: transport, space and water
heating, biomass, industry and industrial feedstocks, agriculture,
forestry and fishing. This completes the energy system and includes
all greenhouse gas emitters except waste management and land use.

WARNING: PyPSA-Eur-Sec is under active development and has several
limitations which
you should understand before using the model. The github repository
issues collect known
topics we are working on (please feel free to help or make suggestions).
The documentation remains somewhat
patchy.
You can find showcases of the model's capabilities in the preprint
Benefits of a Hydrogen Network in Europe,
a paper in Joule with a description of the industry
sector
, or in a 2021
presentation at EMP-E
.
We cannot support this model if you choose to use it.

Please see the documentation
for installation instructions and other useful information about the snakemake workflow.

This diagram gives an overview of the sectors and the links between
them:

sector diagram

Each of these sectors is built up on the transmission network nodes
from PyPSA-Eur:

network diagram

For computational reasons the model is usually clustered down
to 50-200 nodes.

PyPSA-Eur-Sec was initially based on the model PyPSA-Eur-Sec-30 described
in the paper Synergies of sector coupling and transmission
reinforcement in a cost-optimised, highly renewable European energy
system
(2018) but it differs by
being based on the higher resolution electricity transmission model
PyPSA-Eur rather than a
one-node-per-country model, and by including biomass, industry,
industrial feedstocks, aviation, shipping, better carbon management,
carbon capture and usage/sequestration, and gas networks.

PyPSA-Eur-Sec includes PyPSA-Eur as a
snakemake
subworkflow. PyPSA-Eur-Sec
uses PyPSA-Eur to build the clustered transmission model along with
wind, solar PV and hydroelectricity potentials and time series. Then
PyPSA-Eur-Sec adds other conventional generators, storage units and
the additional sectors.

Licence

The code in PyPSA-Eur-Sec is released as free software under the
MIT License, see LICENSE.txt.
However, different licenses and terms of use may apply to the various
input data.


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Total Commits: 843
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Avg Commits per committer: 38.318
Development Distribution Score (DDS): 0.713

Commits in past year: 342
Committers in past year: 16
Avg Commits per committer in past year: 21.375
Development Distribution Score (DDS) in past year: 0.731

Name Email Commits
Fabian Neumann f****n@o****e 242
Tom Brown t****m@n****g 173
lisazeyen l****n@w****e 128
martavp m****z@g****m 116
Adam-Dvorak1 9****1 63
Parisra 1****a 25
Fabian f****f@g****e 25
virio-andreyana a****o@g****m 15
Markus Millinger 5****s 12
Gorm Bruun Andresen g****a@e****k 11
Leon 5****n 8
Irieo i****n@g****m 6
Ebbe Kyhl 6****l 5
eb5194 m****i@k****u 3
Huang, Jiangyi j****g@o****m 2
Koen van Greevenbroek k****k@u****o 2
pre-commit-ci[bot] 6****] 2
Francesco Witte g****b@w****h 1
Tim Pedersen t****p@m****k 1
euronion 4****n 1
d-fine dev i****o@d****e 1
Ebbe Kyhl Gøtske [email protected] a****9@f****t 1

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Last synced: over 1 year ago

Total issues: 0
Total pull requests: 198
Average time to close issues: N/A
Average time to close pull requests: about 2 months
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Total pull request authors: 22
Average comments per issue: 0
Average comments per pull request: 1.05
Merged pull request: 156
Bot issues: 0
Bot pull requests: 3

Past year issues: 0
Past year pull requests: 25
Past year average time to close issues: N/A
Past year average time to close pull requests: 7 days
Past year issue authors: 0
Past year pull request authors: 7
Past year average comments per issue: 0
Past year average comments per pull request: 1.0
Past year merged pull request: 18
Past year bot issues: 0
Past year bot pull requests: 3

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Package metadata

proxy.golang.org: github.com/PyPSA/pypsa-eur-sec

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/PyPSA/pypsa-eur-sec#section-documentation
  • Licenses:
  • Latest release: v0.7.0 (published over 2 years ago)
  • Last Synced: 2024-01-20T00:05:29.504Z (over 1 year ago)
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 6.999%
    • Average: 8.173%
    • Dependent repos count: 9.346%
proxy.golang.org: github.com/pypsa/pypsa-eur-sec

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/pypsa/pypsa-eur-sec#section-documentation
  • Licenses:
  • Latest release: v0.7.0 (published over 2 years ago)
  • Last Synced: 2024-01-20T00:05:30.308Z (over 1 year ago)
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 6.999%
    • Average: 8.173%
    • Dependent repos count: 9.346%

Dependencies

.github/workflows/ci.yaml actions
  • actions/cache v3 composite
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite

Score: -Infinity