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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Supplying renewable energy to Central European research facilities: A techno-economic comparison of electricity and hydrogen (Dataset)

Authors: Hampp, Johannes;

Supplying renewable energy to Central European research facilities: A techno-economic comparison of electricity and hydrogen (Dataset)

Abstract

This dataset contains central input assumptions and results related to the publication "Supplying renewable energy to Central European research facilities: A techno-economic comparison of electricity and hydrogen". Result files are contained in the results.zip archive file. The file contains for each scenario, as indicated by the folder structure, the following files: results.csv: Central scenario results exported as character separated value (csv) file, with a semicolon (;) as field separator. All fields are quoted using double quotation marks "...". Can be explored using standard office software like Microsoft Excel/Libre Office or other tools. network.nc: PyPSA network file containing the optimized scenario with all input and unprocessed outputs (results). Can be explored using the PyPSA software package. lcoes.csv: Levelised Cost of Electricity used to construct the renewable energy source (RES) based supply curve for each scenario. The dataset further contains the following files which represent central input assumptions to the model and scenarios, both as CSV files: efficiencies.csv: Technology process and conversion efficiencies including more details on the assumptions and information on which references the assumptions are based. costs_2030.csv: Technology cost assumptions for 2030 including more details on the assumptions and information on which references the assumptions are based. This data is based on this Technology Data repository on GitHub.

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Keywords

hydrogen, energy system model, electricity, energy imports

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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).
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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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