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ZENODO
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Dataset . 2019
License: CC BY
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Tutorial Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

Authors: Hörsch, Jonas; Hofmann, Fabian; Schlachtberger, David; Neumann, Fabian; Brown, Tom;

Tutorial Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

Abstract

PyPSA-Eur is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur. It contains alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. Not all data dependencies are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate data bundles and cutouts to be downloaded and extracted as noted in the documentation. The provided lightweight cutouts are spatiotemporal subsets of the German weather data from the ECMWF ERA5 reanalysis dataset for March 2013 to be used for the PyPSA-Eur tutorial. They have been prepared by and are for use with the atlite tool (https://atlite.readthedocs.io/). ECMWF ERA5 Source: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview Terms of Use: https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf

Keywords

tutorial, pypsa-eur, weather data

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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