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doc: add warning and link to pypsa-eur-sec [skip travis]

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Fabian Neumann 2020-03-15 13:28:06 +01:00
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@ -39,6 +39,9 @@ PyPSA-Eur is designed to be imported into the open toolbox `PyPSA <https://www.p
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/>`_.
A version of the model that adds building heating, transport and industry sectors to the model,
as well as gas networks, is currently being developed in the `PyPSA-Eur-Sec repository <https://github.com/pypsa/pypsa-eur-sec>`_.
Documentation
=============
@ -104,6 +107,19 @@ Documentation
limitations
contributing
Warnings
========
Please read the `limitations <https://pypsa-eur.readthedocs.io/en/latest/limitations.html>`_ section of the
documentation and paper carefully before using the model. We do not
recommend to use the full resolution network model for simulations. At
high granularity the assignment of loads and generators to the nearest
network node may not be a correct assumption, depending on the topology of the underlying distribution grid,
and local grid
bottlenecks may cause unrealistic load-shedding or generator
curtailment. We recommend to cluster the network to a couple of
hundred nodes to remove these local inconsistencies.
Learning Energy System Modelling
================================