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Dataset . 2020
Data sources: Datacite
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ZENODO
Dataset . 2020
Data sources: ZENODO
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ZENODO
Dataset . 2020
Data sources: Datacite
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ZENODO
Dataset . 2020
Data sources: Datacite
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ZENODO
Dataset . 2020
Data sources: ZENODO
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ANGUSII Scenarios: Pathways to 100% Renewable German Energy System

Authors: Simon Hilpert; Martin Söthe; Clemens Wingenbach;

ANGUSII Scenarios: Pathways to 100% Renewable German Energy System

Abstract

The data set contains an open source energy system model based on the Open Energy Modelling Framework (oemof) for Germany. Results are calculated for different scenarios for the year 2030, 2040 and 2050. A documentation file can be found on Github.

The work has been funded by the Federal Ministry of Economic Affairs, Germany

Related Organizations
Keywords

energy system modelling, netzentwicklungsplan, ANGUSII, linear programming, shadow prices, renewable energy systems

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
views
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15