Euro-Calliope
A model of the European electricity system built using Calliope.
https://github.com/calliope-project/euro-calliope
Category: Energy Systems
Sub Category: Global and Regional Energy System Models
Keywords
calliope-models conda energy europe renewable-energy research
Keywords from Contributors
energy-system optimisation pyomo energy-system-modeling solar datapackage tabular-data pv wind csp
Last synced: about 22 hours ago
JSON representation
Repository metadata
A workflow to build models of the European electricity system for Calliope.
- Host: GitHub
- URL: https://github.com/calliope-project/euro-calliope
- Owner: calliope-project
- License: mit
- Created: 2018-10-15T14:03:05.000Z (over 6 years ago)
- Default Branch: develop
- Last Pushed: 2025-04-07T21:00:48.000Z (20 days ago)
- Last Synced: 2025-04-18T22:48:27.767Z (9 days ago)
- Topics: calliope-models, conda, energy, europe, renewable-energy, research
- Language: Python
- Homepage: https://euro-calliope.readthedocs.io
- Size: 4.64 MB
- Stars: 32
- Watchers: 5
- Forks: 19
- Open Issues: 109
- Releases: 2
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Citation: CITATION.cff
README.md
Euro-Calliope
Models of the European electricity system for Calliope.
This repository contains the workflow routines that automatically build models from raw data. Alternatively to building models yourself, you can use pre-built models that run out-of-the-box. You can find a more detailed description of the first application in a scientific article in Joule.
At a glance
Euro-Calliope models the European electricity system with each location representing an administrative unit. It is built on three spatial resolutions: on the continental level as a single location, on the national level with 34 locations, and on the regional level with 497 locations. At each location, renewable generation capacities (wind, solar, bioenergy) and balancing capacities (battery, hydrogen) can be built. In addition, hydro electricity and pumped hydro storage capacities can be built up to the extent to which they exist today. All capacities are used to satisfy electricity demand on all locations where demand is based on historic data. Locations are connected through transmission lines of either unrestricted capacity or projections. Using Calliope, the model is formulated as a linear optimisation problem with total monetary cost of all capacities as the minimisation objective. Due to the flexibility of Calliope and the availability of the routines building the model all components can be adapted to the modeller's needs.
More information
Here is where you can find more information:
If you are unable to access the full documentation via ReadTheDocs following the link above, or otherwise want to build the documentation locally, you can run the following from the repository top-level directory (assuming you have conda installed):
conda env create -f requirements-docs.yaml
conda activate docs
mkdocs build --no-directory-urls
The documentation can then be accessed by opening build/docs/index.html
.
License
Euro-Calliope is developed and maintained within the Calliope project. The code in this repository is MIT licensed.
Citation (CITATION.cff)
cff-version: 1.1.0 message: "If you use Euro-Calliope in an academic publication, please cite: Tröndle, T., Lilliestam, J., Marelli, S., & Pfenninger, S. (2020). Trade-offs between geographic scale, cost, and infrastructure requirements for fully renewable electricity in Europe. <i>Joule</i>, <i>4</i>(9), 1929–1948. https://doi.org/10.1016/j.joule.2020.07.018" date-released: 2021-12-22 title: Euro-Calliope version: 1.2.0.dev doi: 10.5281/zenodo.3949793 authors: - family-names: Tröndle given-names: Tim orcid: https://orcid.org/0000-0002-3734-8284 - family-names: Pickering given-names: Bryn orcid: https://orcid.org/0000-0003-4044-6587 references: - type: article title: Trade-offs between geographic scale, cost, and infrastructure requirements for fully renewable electricity in Europe. journal: Joule date-published: 2020-08-14 doi: 10.1016/j.joule.2020.07.018 authors: - family-names: Tröndle given-names: Tim orcid: https://orcid.org/0000-0002-3734-8284 - family-names: Lilliestam given-names: Johan orcid: https://orcid.org/0000-0001-6913-5956 - family-names: Marelli given-names: Stefano orcid: https://orcid.org/0000-0002-9268-9014 - family-names: Pfenninger given-names: Stefan orcid: https://orcid.org/0000-0002-8420-9498
Owner metadata
- Name: Calliope
- Login: calliope-project
- Email:
- Kind: organization
- Description: A multi-scale energy systems modelling framework
- Website: https://www.callio.pe/
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/10073020?v=4
- Repositories: 14
- Last ynced at: 2024-03-27T12:10:54.060Z
- Profile URL: https://github.com/calliope-project
GitHub Events
Total
- Issues event: 2
- Watch event: 1
- Issue comment event: 5
- Push event: 11
Last Year
- Issues event: 2
- Watch event: 1
- Issue comment event: 5
- Push event: 11
Committers metadata
Last synced: 7 days ago
Total Commits: 804
Total Committers: 19
Avg Commits per committer: 42.316
Development Distribution Score (DDS): 0.596
Commits in past year: 367
Committers in past year: 13
Avg Commits per committer in past year: 28.231
Development Distribution Score (DDS) in past year: 0.793
Name | Commits | |
---|---|---|
Tim Tröndle | t****e@u****h | 325 |
brynpickering | b****g@u****h | 146 |
Bryn Pickering | 1****g | 77 |
adrienmellot | a****t@g****m | 46 |
SimonS898 | s****r@g****m | 45 |
pre-commit-ci[bot] | 6****] | 45 |
Ivan Ruiz Manuel | 7****e | 27 |
Stefan Pfenninger | s****n@p****g | 26 |
jonathan-peel | j****l@g****m | 24 |
Mathis Heyer | h****s | 12 |
Ivan Ruiz Manuel | i****l@e****l | 8 |
Meijun Chen | m****6@e****l | 7 |
brynpickering | b****g@u****h | 3 |
FraSanvit | s****o@g****m | 3 |
FebinKa | 5****a | 3 |
Silas Schweizer | s****s@i****e | 2 |
jnnr | 3****r | 2 |
brynpickering | b****5@c****k | 2 |
Suvayu Ali | f****x@g****m | 1 |
Committer domains:
- usys.ethz.ch: 3
- esm1.tbm.tudelft.nl: 2
- cam.ac.uk: 1
- ik.me: 1
- pfenninger.org: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 268
Total pull requests: 211
Average time to close issues: 5 months
Average time to close pull requests: about 1 month
Total issue authors: 15
Total pull request authors: 17
Average comments per issue: 1.39
Average comments per pull request: 2.14
Merged pull request: 180
Bot issues: 0
Bot pull requests: 22
Past year issues: 38
Past year pull requests: 49
Past year average time to close issues: 6 days
Past year average time to close pull requests: 4 days
Past year issue authors: 5
Past year pull request authors: 7
Past year average comments per issue: 0.71
Past year average comments per pull request: 1.67
Past year merged pull request: 41
Past year bot issues: 0
Past year bot pull requests: 16
Top Issue Authors
- timtroendle (121)
- brynpickering (70)
- irm-codebase (32)
- adrienmellot (14)
- sjpfenninger (13)
- jnnr (5)
- tud-mchen6 (2)
- FraSanvit (2)
- mahendrark (2)
- zoltanmaric (2)
- suvayu (1)
- cbcrespo (1)
- FLomb (1)
- hakonguddingsmo (1)
- egusheva (1)
Top Pull Request Authors
- timtroendle (82)
- brynpickering (63)
- pre-commit-ci[bot] (22)
- adrienmellot (8)
- sjpfenninger (6)
- FebinKa (6)
- hey-mathis (4)
- jnnr (4)
- jonathan-peel (3)
- irm-codebase (3)
- tud-mchen6 (3)
- wwwuFei (2)
- FraSanvit (1)
- FLomb (1)
- MayankKonduri (1)
Top Issue Labels
- enhancement (144)
- bug (63)
- data (48)
- documentation (39)
- workflow (27)
- Industry (25)
- transport (20)
- good first issue (18)
- hydro (15)
- heat (15)
- timeseries-profile (8)
- regionalisation (7)
- supply-tech (6)
- wontfix (6)
- transmission (5)
- duplicate (3)
- biofuel (3)
- annual-demand (1)
- invalid (1)
Top Pull Request Labels
- data (11)
- bug (8)
- hydro (8)
- enhancement (7)
- documentation (5)
- Industry (4)
Dependencies
- pytest * test
- numpy *
- pandas *
- pycountry ==18.12.8
- scipy *
- xarray *
- actions/checkout master composite
- gaurav-nelson/github-action-markdown-link-check v1 composite
- actions/checkout v2 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pycountry 18.12.8.*
- python 3.11.*
- snakemake-minimal 7.26.0.*
- calliope 0.6.10.*
- gurobi 9.5.1.*
- numpy 1.23.*
- pandas 1.5.*
- pyomo 6.4.1.*
- python 3.9.*
- xarray 2022.3.*
Score: 7.893198869544609