pypsa-eur/doc/index.rst

PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
=====================================================================================

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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 <https://github.com/PyPSA/pypsa-eur>`_ to add demand
and supply for the following sectors: transport, space and water
heating, biomass, industry and industrial feedstocks. This completes
the energy system and includes all greenhouse gas emitters except
waste management, agriculture, forestry and land use.

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 <https://arxiv.org/abs/1801.05290>`_ (2018) but it differs by
being based on the higher resolution electricity transmission model
`PyPSA-Eur <https://github.com/PyPSA/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 <https://snakemake.readthedocs.io/en/stable/index.html>`_
`subworkflow <https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html#snakefiles-sub-workflows>`_. 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 <https://www.pypsa.org>`_ for which `documentation <https://pypsa.org/doc>`_ is available as well.

This project is maintained by the `Energy System Modelling group <https://www.iai.kit.edu/english/2338.php>`_ at the `Institute for Automation and Applied Informatics <https://www.iai.kit.edu/english/index.php>`_ at the `Karlsruhe Institute of Technology <http://www.kit.edu/english/index.php>`_. The group is funded by the `Helmholtz Association <https://www.helmholtz.de/en/>`_ until 2024. Previous versions were developed by the `Renewable Energy Group <https://fias.uni-frankfurt.de/physics/schramm/renewable-energy-system-and-network-analysis/>`_ at `FIAS <https://fias.uni-frankfurt.de/>`_ to carry out simulations for the `CoNDyNet project <http://condynet.de/>`_, financed by the `German Federal Ministry for Education and Research (BMBF) <https://www.bmbf.de/en/index.html>`_ as part of the `Stromnetze Research Initiative <http://forschung-stromnetze.info/projekte/grundlagen-und-konzepte-fuer-effiziente-dezentrale-stromnetze/>`_.


Spatial resolution of sectors
=============================

Not all of the sectors are at the full nodal resolution, and some are
distributed to nodes using heuristics that need to be corrected. Some
networks are copper-plated to reduce computational times.

For example:

Electricity network: nodal.

Electricity demand: nodal, distributed in each country based on
population and GDP.

Building heating demand: nodal, distributed in each country based on
population.

Industry demand: nodal, distributed in each country based on
population (will be corrected to real locations of industry, see
github issue).

Hydrogen network: nodal.

Methane network: copper-plated for Europe, since future demand is so
low and no bottlenecks are expected.

Solid biomass: copper-plated until transport costs can be
incorporated.

CO2: copper-plated (but a transport and storage cost is added for
sequestered CO2).

Liquid hydrocarbons: copper-plated since transport costs are low.



Documentation
=============

**Getting Started**

* :doc:`installation`

.. toctree::
   :hidden:
   :maxdepth: 1
   :caption: Getting Started

   installation

**Myopic transition path**

* :doc:`myopic`

.. toctree::
   :hidden:
   :maxdepth: 1
   :caption: Myopic transition path

   myopic

**References**

* :doc:`release_notes`

.. toctree::
   :hidden:
   :maxdepth: 1
   :caption: References

   release_notes


Warnings
========

**WARNING**: This model is under construction and contains serious
problems that distort the results. See the github repository
`issues <https://github.com/PyPSA/pypsa-eur-sec/issues>`_ for some of
the problems (please feel free to help or make suggestions). There is
neither documentation nor a paper yet, but we hope to have a preprint
out by summer 2020. We cannot support this model if you choose to use
it.


Licence
=======

The code in PyPSA-Eur-Sec is released as free software under the `GPLv3
<http://www.gnu.org/licenses/gpl-3.0.en.html>`_, see
`LICENSE <https://github.com/PyPSA/pypsa-eur-sec/blob/master/LICENSE.txt>`_.
However, different licenses and terms of use may apply to the various input data.