PyPSA-FES
A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.
https://github.com/centrefornetzero/pypsa-fes
Category: Energy Systems
Sub Category: Global and Regional Energy System Models
Keywords
demand-flexibility energy energy-model energy-system-model energy-transition great-britain modelling open-source optimization power-systems pypsa python sector-coupling snakemake-workflow
Keywords from Contributors
energy-system heat-pump energy-system-modeling heating renewable-energy climate-change optimisation pyomo linopy renewables
Last synced: about 18 hours ago
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Repository metadata
A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.
- Host: GitHub
- URL: https://github.com/centrefornetzero/pypsa-fes
- Owner: centrefornetzero
- License: mit
- Created: 2023-06-01T09:45:21.000Z (almost 2 years ago)
- Default Branch: dev
- Last Pushed: 2025-01-23T09:23:06.000Z (3 months ago)
- Last Synced: 2025-04-20T10:08:14.718Z (7 days ago)
- Topics: demand-flexibility, energy, energy-model, energy-system-model, energy-transition, great-britain, modelling, open-source, optimization, power-systems, pypsa, python, sector-coupling, snakemake-workflow
- Language: Python
- Homepage: https://pypsa-fes.readthedocs.io/en/latest/index.html
- Size: 99.2 MB
- Stars: 24
- Watchers: 2
- Forks: 0
- Open Issues: 14
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
README.md
PyPSA-FES: A linear optimisation model to simulate Great Britain's energy transition
PyPSA-FES offers a complete data pipeline and optimisation backbone to model any year between 2023 and 2050 of Great Britain's energy transition both for an optimisic transition scenario Leading the Way, and a pessimistic version Falling Short. For the chosen scenario and year, the model dynamically retrieves parameters on generation, transmission and storage capacities, demand and emission targets from national grid ESO's Future Energy Scenarios, and runs a full year of hourly investment and operational optimisation for a 16-zonal network. Neighbouring countries are modelled as single nodes, to realistically capture opportunities for electricity trading via interconnectors.
Our model builds on the highly popular PyPSA-Eur model, which has been adapted to focus on the electricity sector in the United Kingdom.
For details on installation, tutorial, and a deeper overview of model assumptions we refer to the documentation.
Additionally, the model includes three types of domestic demand flexibility, that can be switched on or off
- Demand Flexibility Service; individual households shifting their demand in time.
- Smart Heat Pumps storing heat provided by heat pumps in homes' thermal inertia.
- Smart Charging Electric Vehicles and Vehicle-to-Grid according to centrally optimised schedules.
While only considering electricity demand, the model aims to assume a role that fits with the transition of the larger multi-sector energy system:
- Increased electricity demand due to electrification of heat and transport.
- Negative emissions using carbon capture and storage, simulating carbon trading with hard to abate sectors.
- Competition for biomass supply with other sectors.
The model is an adaption of the PyPSA-Eur, a sector-coupled european energy model, developed at TU Berlin, built on the underlying Python modelling library PyPSA. For more details on the underlying PyPSA-Eur model, we refer to the model documentation or related research for instance PyPSA-Eur: An Open Optimisation Model of the European Transmission System, 2018, arXiv:1806.01613.
The model is governed through a snakemake workflow. Please see the documentation for installation instructions and other useful information about the snakemake workflow. The model is designed to be imported into the open toolbox PyPSA.
Contributing and Support
We strongly welcome anyone interested in contributing to this project. If you have any ideas, suggestions or encounter problems, feel invited to file issues or make pull requests on GitHub.
- For questions and comments please contact Lukas Franken via [email protected].
- For bugs and feature requests, please use the PyPSA-FES Github Issues page.
Licence
The code in this repository 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.
Citation (CITATION.cff)
# SPDX-FileCopyrightText: : 2021 The PyPSA-Eur Authors
#
# SPDX-License-Identifier: CC0-1.0
cff-version: 1.1.0
message: "If you use this package, please cite it in the following way."
title: "PyPSA-Eur: An open sector-coupled optimisation model of the European energy system"
repository: https://github.com/pypsa/pypsa-eur
version: 0.8.0
license: MIT
authors:
- family-names: Brown
given-names: Tom
orcid: https://orcid.org/0000-0001-5898-1911
- family-names: Victoria
given-names: Marta
orcid: https://orcid.org/0000-0003-1665-1281
- family-names: Zeyen
given-names: Elisabeth
orcid: https://orcid.org/0000-0002-7262-3296
- family-names: Hofmann
given-names: Fabian
orcid: https://orcid.org/0000-0002-6604-5450
- family-names: Neumann
given-names: Fabian
orcid: https://orcid.org/0000-0001-8551-1480
- family-names: Frysztacki
given-names: Martha
orcid: https://orcid.org/0000-0002-0788-1328
- family-names: Hampp
given-names: Johannes
orcid: https://orcid.org/0000-0002-1776-116X
- family-names: Schlachtberger
given-names: David
orcid: https://orcid.org/0000-0002-8167-8213
- family-names: Hörsch
given-names: Jonas
orcid: https://orcid.org/0000-0001-9438-767X
Owner metadata
- Name: Centre for Net Zero
- Login: centrefornetzero
- Email:
- Kind: organization
- Description:
- Website: https://www.centrefornetzero.org/
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/85338001?v=4
- Repositories: 4
- Last ynced at: 2023-03-06T02:06:18.921Z
- Profile URL: https://github.com/centrefornetzero
GitHub Events
Total
- Watch event: 1
- Push event: 2
- Pull request event: 1
- Create event: 1
Last Year
- Watch event: 1
- Push event: 2
- Pull request event: 1
- Create event: 1
Committers metadata
Last synced: 6 days ago
Total Commits: 2,278
Total Committers: 53
Avg Commits per committer: 42.981
Development Distribution Score (DDS): 0.694
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Fabian Neumann | f****n@o****e | 696 |
| Jonas Hörsch | j****h@k****u | 232 |
| LukasFrankenQ | l****n@g****m | 230 |
| Fabian | f****f@g****e | 193 |
| Tom Brown | t****m@n****g | 180 |
| lisazeyen | l****n@w****e | 138 |
| martavp | m****z@g****m | 116 |
| pre-commit-ci[bot] | 6****] | 87 |
| martacki | m****i@k****u | 78 |
| Adam-Dvorak1 | 9****1 | 63 |
| virio-andreyana | 1****a | 27 |
| Max Parzen | m****n@e****k | 26 |
| Parisra | 1****a | 25 |
| euronion | 4****n | 22 |
| Philipp Glaum | p****m@t****e | 17 |
| Jeroen Peters | h****s@g****m | 15 |
| Markus Millinger | 5****s | 12 |
| Gorm Bruun Andresen | g****a@e****k | 11 |
| Koen van Greevenbroek | k****k@u****o | 10 |
| Leon | 5****n | 8 |
| energyls | l****m@o****e | 8 |
| Irieo | i****n@g****m | 7 |
| Fabian Hofmann | h****n@u****e | 7 |
| Ebbe Kyhl | 6****l | 7 |
| Martha Maria | 5****4 | 6 |
| Jan Frederick | j****r@i****e | 6 |
| Julio Pascual | 1****l | 5 |
| Ahmad | a****1@g****m | 4 |
| Seth | s****n@g****m | 4 |
| eb5194 | e****4@i****u | 4 |
| and 23 more... | ||
Committer domains:
- kit.edu: 3
- ed.ac.uk: 2
- iai-esm003.iai.kit.edu: 2
- outlook.de: 1
- gmx.de: 1
- nworbmot.org: 1
- tu-berlin.de: 1
- eng.au.dk: 1
- uit.no: 1
- oth-regensburg.de: 1
- users.fias.science: 1
- inatech.uni-freiburg.de: 1
- pik-potsdam.de: 1
- fe1.prime.net: 1
- witte.sh: 1
- hotmail.de: 1
- git.com: 1
- d-fine.de: 1
- sms.ed.ac.uk: 1
- mpe.au.dk: 1
- pm.me: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 12
Total pull requests: 3
Average time to close issues: N/A
Average time to close pull requests: about 1 hour
Total issue authors: 1
Total pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.33
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- LukasFrankenQ (12)
Top Pull Request Authors
- LukasFrankenQ (2)
- anguschadney (1)
Top Issue Labels
Top Pull Request Labels
Score: 7.607878073278508