technology-data

Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.

https://github.com/pypsa/technology-data

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    5 of 26 committers (19.2%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary

Keywords

costs energy energy-system-model

Keywords from Contributors

energy-system energy-system-modelling power-systems capacity-expansion-planning sector-coupling energy-model pypsa transmission-network power-grid europe
Last synced: 6 months ago · JSON representation

Repository

Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.

Basic Info
Statistics
  • Stars: 84
  • Watchers: 10
  • Forks: 51
  • Open Issues: 42
  • Releases: 22
Topics
costs energy energy-system-model
Created almost 6 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

GitHub release (latest by date including pre-releases) Documentation Licence Size Zenodo Gitter

Energy System Technology Data

This script compiles assumptions on energy system technologies (such as costs, efficiencies, lifetimes, etc.) for chosen years (e.g. [2020, 2030, 2050]) from a variety of sources into CSV files to be read by energy system modelling software. The merged outputs have standardized cost years, technology names, units and source information. For further information about the structure and how to add new technologies, see the documentation.

The outputs are used in PyPSA-Eur and PyPSA-Earth.

Licence

Copyright 2019-2025 Contributors to technology-data

The code in scripts/ is released as free software under the GPLv3, see LICENSE.txt. However, different licenses and terms of use may apply to the various input data.

Owner

  • Name: PyPSA
  • Login: PyPSA
  • Kind: organization

Python for Power System Analysis

GitHub Events

Total
  • Create event: 34
  • Issues event: 17
  • Release event: 8
  • Watch event: 24
  • Delete event: 24
  • Issue comment event: 90
  • Push event: 77
  • Pull request review comment event: 93
  • Pull request review event: 140
  • Pull request event: 117
  • Fork event: 9
Last Year
  • Create event: 34
  • Issues event: 17
  • Release event: 8
  • Watch event: 24
  • Delete event: 24
  • Issue comment event: 90
  • Push event: 77
  • Pull request review comment event: 93
  • Pull request review event: 140
  • Pull request event: 117
  • Fork event: 9

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 558
  • Total Committers: 26
  • Avg Commits per committer: 21.462
  • Development Distribution Score (DDS): 0.76
Past Year
  • Commits: 86
  • Committers: 16
  • Avg Commits per committer: 5.375
  • Development Distribution Score (DDS): 0.814
Top Committers
Name Email Commits
lisazeyen l****n@w****e 134
euronion 4****n 107
Fabian Neumann f****n@o****e 71
millingermarkus m****r@c****e 50
BertoGBG 9****G 30
Max Parzen m****n@e****k 26
LukasFrankenQ l****n@g****m 21
Tom Brown t****m@n****g 16
pre-commit-ci[bot] 6****] 16
JulianGeis J****s@g****t 13
Fabrizio Finozzi 1****a 12
Philipp Glaum p****m@t****e 12
Daniele Lerede d****e@o****g 10
martavp m****z@g****m 8
Amos Schledorn 6****n 5
Thomas Gilon t****n@o****g 5
TomKae00 1****0 5
Lukas Trippe l****p@p****e 5
cpschau c****s@i****e 4
Toni 1****d 2
Koen van Greevenbroek k****k@u****o 1
cpschau 1****u 1
dependabot[bot] 4****] 1
fhg-isi 7****i 1
lukasnacken l****n@u****e 1
s8au 1****u 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 66
  • Total pull requests: 213
  • Average time to close issues: 7 months
  • Average time to close pull requests: 23 days
  • Total issue authors: 17
  • Total pull request authors: 24
  • Average comments per issue: 1.11
  • Average comments per pull request: 1.25
  • Merged pull requests: 174
  • Bot issues: 0
  • Bot pull requests: 30
Past Year
  • Issues: 15
  • Pull requests: 127
  • Average time to close issues: N/A
  • Average time to close pull requests: 8 days
  • Issue authors: 8
  • Pull request authors: 13
  • Average comments per issue: 0.33
  • Average comments per pull request: 1.04
  • Merged pull requests: 96
  • Bot issues: 0
  • Bot pull requests: 30
Top Authors
Issue Authors
  • lisazeyen (18)
  • euronion (15)
  • fneum (8)
  • nworbmot (4)
  • martavp (3)
  • fhg-isi (3)
  • lindnemi (2)
  • fvdborre (2)
  • p-glaum (2)
  • TomKae00 (1)
  • BertoGBG (1)
  • millingermarkus (1)
  • ebbekyhl (1)
  • koen-vg (1)
  • danielelerede-oet (1)
Pull Request Authors
  • pre-commit-ci[bot] (30)
  • finozzifa (27)
  • fneum (25)
  • euronion (24)
  • danielelerede-oet (22)
  • lisazeyen (20)
  • tgilon (11)
  • BertoGBG (9)
  • amos-schledorn (9)
  • TomKae00 (8)
  • lkstrp (7)
  • p-glaum (6)
  • cpschau (6)
  • millingermarkus (5)
  • martavp (4)
Top Labels
Issue Labels
enhancement (27) bug (10) help wanted (3) feature (2)
Pull Request Labels
feature (2) prototype (1) dependencies (1)

Packages

  • Total packages: 2
  • Total downloads: unknown
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 44
proxy.golang.org: github.com/pypsa/technology-data
  • Versions: 22
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago
proxy.golang.org: github.com/PyPSA/technology-data
  • Versions: 22
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago

Dependencies

.github/workflows/ci.yaml actions
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2.1.1 composite
environment.yaml conda
  • beautifulsoup4
  • numpy
  • openpyxl <=3.0.9
  • packaging
  • pandas >=1.1.0,<1.3
  • pip
  • python >=3.9
  • scipy
  • snakemake-minimal
  • xlrd
docs/requirements.txt pypi
  • myst-parser *
  • sphinx *
  • sphinx-book-theme *
  • sphinxcontrib-bibtex *