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Release Notes Release Notes
########################################## ##########################################
Synchronisation Release - Ukraine and Moldova (17th March 2022)
===================================================================
Upcoming Release On March 16, 2022, the transmission networks of Ukraine and Moldova have
================ successfully been `synchronised with the continental European grid <https://www.entsoe.eu/news/2022/03/16/continental-europe-successful-synchronisation-with-ukraine-and-moldova-power-systems/>`_. We have taken
this as an opportunity to add the power systems of Ukraine and Moldova to
PyPSA-Eur. This includes:
* the transmission network topology from the `ENTSO-E interactive map <https://www.entsoe.eu/data/map/>`_.
* existing power plants (incl. nuclear, coal, gas and hydro) from the `powerplantmatching <https://github.com/fresna/powerplantmatching>`_ tool
* country-level load time series from ENTSO-E through the `OPSD platform <https://data.open-power-system-data.org/time_series/2020-10-06>`_, which are then distributed heuristically to substations by GDP and population density.
* wind and solar profiles based on ERA5 and SARAH-2 weather data
* hydro profiles based on historical `EIA generation data <https://www.eia.gov/international/data/world>`_
* a simplified calculation of wind and solar potentials based on the `Copernicus Land Cover dataset <https://land.copernicus.eu/global/products/lc>`_.
* electrical characteristics of 750 kV transmission lines
The Crimean power system is currently disconnected from the main Ukrainian grid and, hence, not included.
This release is not on the ``master`` branch. It can be used with
.. code-block:: bash
git clone https://github.com/pypsa/pypsa-eur
git checkout synchronisation-release
Upcoming Regular Release
========================
* Add an efficiency factor of 88.55% to offshore wind capacity factors * Add an efficiency factor of 88.55% to offshore wind capacity factors
as a proxy for wake losses. More rigorous modelling is `planned <https://github.com/PyPSA/pypsa-eur/issues/153>`_ as a proxy for wake losses. More rigorous modelling is `planned <https://github.com/PyPSA/pypsa-eur/issues/153>`_