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

Science Score: 77.0%

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  • CITATION.cff file
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  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, zenodo.org
  • Committers with academic emails
    10 of 53 committers (18.9%) from academic institutions
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    Low similarity (12.1%) to scientific vocabulary

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 wind solar renewable-timeseries renewable-energy reanalysis pv potentials heat-pump era5
Last synced: 4 months ago · JSON representation ·

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A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.

Basic Info
Statistics
  • Stars: 27
  • Watchers: 2
  • Forks: 0
  • Open Issues: 14
  • Releases: 0
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
Created over 2 years ago · Last pushed 11 months ago
Metadata Files
Readme License Citation

README.md

Build Status Size Zenodo PyPSA-Eur Snakemake <!--Zenodo PyPSA-Eur-Sec--> <!--REUSE status--> <!--Stack Exchange questions.-->

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.

PyPSA-Eur Grid Model

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.

Energy Flows Modelled in PyPSA-FES

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 lukas.franken@ed.ac.uk. - 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.

Owner

  • Name: Centre for Net Zero
  • Login: centrefornetzero
  • Kind: organization

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

GitHub Events

Total
  • Watch event: 4
  • Push event: 2
  • Pull request event: 1
  • Create event: 1
Last Year
  • Watch event: 4
  • Push event: 2
  • Pull request event: 1
  • Create event: 1

Committers

Last synced: 4 months ago

All Time
  • Total Commits: 2,278
  • Total Committers: 53
  • Avg Commits per committer: 42.981
  • Development Distribution Score (DDS): 0.694
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email 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...

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 12
  • Total pull requests: 4
  • 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: 0.25
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • LukasFrankenQ (11)
Pull Request Authors
  • anguschadney (2)
  • LukasFrankenQ (2)
Top Labels
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