pypsa-gb

PyPSA-GB: An open source model of the GB transmission network for simulating future energy scenarios

https://github.com/andrewlyden/pypsa-gb

Science Score: 36.0%

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    1 of 7 committers (14.3%) from academic institutions
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    Low similarity (6.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

PyPSA-GB: An open source model of the GB transmission network for simulating future energy scenarios

Basic Info
Statistics
  • Stars: 39
  • Watchers: 5
  • Forks: 21
  • Open Issues: 11
  • Releases: 1
Created about 5 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

PyPSA-GB

PyPSA-GB is a dataset and model of the Great Britain electricity system. It uses PyPSA (Python for Power Systems Analysis) to peform power dispatch and planning studies.

Energy system models with high spatial and temporal resolution are required to analyse systems reliant on variable renewable generation. PyPSA-GB is an open dataset and power dispatch model of the GB transmission network using country-specific data over historical years and for future energy scenarios. Two aspects of the GB electricity market can be readily modelled: (i) the wholesale electricity market, by solving a single bus unit commitment optimisation problem to dispatch generators and storage, and (ii) the balancing mechanism, by solving a network constrained linear optimal power flow.

See the notebooks in the PyPSA-GB folder for exploration of the data and functionality. See documentation for more details here.

PyPSA-GB Reduced Network Model

Owner

  • Login: andrewlyden
  • Kind: user

GitHub Events

Total
  • Issues event: 4
  • Watch event: 18
  • Issue comment event: 6
  • Push event: 12
  • Pull request review event: 1
  • Pull request event: 2
  • Fork event: 13
  • Create event: 1
Last Year
  • Issues event: 4
  • Watch event: 18
  • Issue comment event: 6
  • Push event: 12
  • Pull request review event: 1
  • Pull request event: 2
  • Fork event: 13
  • Create event: 1

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 129
  • Total Committers: 7
  • Avg Commits per committer: 18.429
  • Development Distribution Score (DDS): 0.357
Past Year
  • Commits: 15
  • Committers: 3
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.267
Top Committers
Name Email Commits
Andrew Lyden a****n@g****m 83
Andrew Lyden a****n@e****k 14
anshangR 1****n@g****m 11
SebHudson94 8****4 9
LukasFrankenQ l****n@g****m 7
sunedin s****n 3
Iain Struthers 6****s 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 22
  • Total pull requests: 7
  • Average time to close issues: 12 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 7
  • Total pull request authors: 4
  • Average comments per issue: 1.27
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 1
  • Average time to close issues: 2 days
  • Average time to close pull requests: 1 minute
  • Issue authors: 4
  • Pull request authors: 1
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • andrewlyden (15)
  • iastruthers (2)
  • Simplified-Mind (1)
  • alebgz-91 (1)
  • drzekunguo (1)
  • Tondi001 (1)
  • Qiuyi-Hong (1)
  • zhichuanma (1)
Pull Request Authors
  • sunedin (4)
  • iastruthers (2)
  • andrewlyden (1)
  • LukasFrankenQ (1)
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