PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System ===================================================================================== .. image:: https://img.shields.io/github/v/release/pypsa/pypsa-eur-sec?include_prereleases :alt: GitHub release (latest by date including pre-releases) .. image:: https://readthedocs.org/projects/pypsa-eur-sec/badge/?version=latest :target: https://pypsa-eur-sec.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. image:: https://img.shields.io/github/license/pypsa/pypsa-eur-sec :alt: GitHub .. image:: https://img.shields.io/github/repo-size/pypsa/pypsa-eur-sec :alt: GitHub repo size .. image:: https://badges.gitter.im/PyPSA/community.svg :target: https://gitter.im/PyPSA/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge :alt: Chat on Gitter PyPSA-Eur-Sec is an open model dataset of the European energy system at the transmission network level that covers the full ENTSO-E area. PyPSA-Eur-Sec builds on the electricity generation and transmission model `PyPSA-Eur `_ to add demand and supply for the following sectors: transport, space and water heating, biomass, energy consumption in the agriculture, industry and industrial feedstocks, carbon management, carbon capture and usage/sequestration. This completes the energy system and includes all greenhouse gas emitters except waste management, agriculture, forestry and land use. **WARNING**: PyPSA-Eur-Sec is under active development and has several `limitations `_ which you should understand before using the model. The github repository `issues `_ collect known topics we are working on (please feel free to help or make suggestions). The `documentation `_ remains somewhat patchy. We cannot support this model if you choose to use it. .. note:: You can find showcases of the model's capabilities in the Supplementary Materials of the preprint `Benefits of a Hydrogen Network in Europe `_, the Supplementary Materials of the `paper in Joule with a description of the industry sector `_, or in `a 2021 presentation at EMP-E `_. This diagram gives an overview of the sectors and the links between them: .. image:: ../graphics/multisector_figure.png PyPSA-Eur-Sec was initially based on the model PyPSA-Eur-Sec-30 described in the paper `Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system `_ (2018) but it differs by being based on the higher resolution electricity transmission model `PyPSA-Eur `_ rather than a one-node-per-country model, and by including biomass, industry, industrial feedstocks, aviation, shipping, better carbon management, carbon capture and usage/sequestration, and gas networks. PyPSA-Eur-Sec includes PyPSA-Eur as a `snakemake `_ `subworkflow `_. PyPSA-Eur-Sec uses PyPSA-Eur to build the clustered transmission model along with wind, solar PV and hydroelectricity potentials and time series. Then PyPSA-Eur-Sec adds other conventional generators, storage units and the additional sectors. Currently the scripts to solve and process the resulting PyPSA models are also included in PyPSA-Eur-Sec, although they could in future be better integrated with the corresponding scripts in PyPSA-Eur. A stumbling block to sharing solve_network.py between PyPSA-Eur and PyPSA-Eur-Sec is the different extra_functionality required to build storage and CHP constraints. PyPSA-Eur-Sec is designed to be imported into the open toolbox `PyPSA `_ for which `documentation `_ is available as well. This project is currently maintained by the `Department of Digital Transformation in Energy Systems `_ at the `Technical University of Berlin `_. Previous versions were developed by the `Energy System Modelling group `_ at the `Institute for Automation and Applied Informatics `_ at the `Karlsruhe Institute of Technology `_ which was funded by the `Helmholtz Association `_, and by the `Renewable Energy Group `_ at `FIAS `_ to carry out simulations for the `CoNDyNet project `_, financed by the `German Federal Ministry for Education and Research (BMBF) `_ as part of the `Stromnetze Research Initiative `_. Documentation ============= **Getting Started** * :doc:`installation` .. toctree:: :hidden: :maxdepth: 1 :caption: Getting Started installation **Implementation details** * :doc:`spatial_resolution` * :doc:`supply_demand` * :doc:`technology_assumptions` .. toctree:: :hidden: :maxdepth: 1 :caption: Implementation details spatial_resolution supply_demand technology_assumptions **Foresight options** * :doc:`overnight` * :doc:`myopic` * :doc:`perfect` .. toctree:: :hidden: :maxdepth: 1 :caption: Foresight options overnight myopic perfect **References** * :doc:`release_notes` * :doc:`limitations` .. toctree:: :hidden: :maxdepth: 1 :caption: References release_notes limitations Licence ======= The code in PyPSA-Eur-Sec is released as free software under the `MIT license `_, see `LICENSE `_. However, different licenses and terms of use may apply to the various input data.