Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/231989
Authors: 
Wiese, Frauke
Schlecht, Ingmar
Bunke, Wolf-Dieter
Gerbaulet, Clemens
Hirth, Lion
Jahn, Martin
Kunz, Friedrich
Lorenz, Casimir
Mühlenpfordt, Jonathan
Reimann, Juliane
Schill, Wolf-Peter
Year of Publication: 
2019
Citation: 
[Journal:] Applied Energy [ISSN:] 0306-2619 [Year:] 2019 [Volume:] 236 [Pages:] 401-409
Abstract: 
The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and partly contains errors. We argue that a central provision of input data for modelling has the character of a public good: it reduces overall societal costs for quantitative energy research as redundant work is avoided, and it improves transparency and reproducibility in electricity system modelling. This paper describes the Open Power System Data platform that aims at realising the efficiency and quality gains of centralised data provision by collecting, checking, processing, aggregating, documenting and publishing data required by most modellers. We conclude that the platform can provide substantial benefits to energy system analysis by raising efficiency of data pre-processing, providing a method for making data pre-processing for energy system modelling traceable, flexible and reproducible and improving the quality of original data published by data providers.
Subjects: 
Electricity system modelling
Frictionless data
Data transparency
Data package
Data platform
Open data
Published Version’s DOI: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-nd/4.0/
Document Type: 
Article
Document Version: 
Accepted Manuscript (Postprint)

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