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Methodology for Generating Synthetic Load Profiles for Different Industry Types

  • To achieve its climate goals, the German industry has to undergo a transformation toward renewable energies. To analyze this transformation in energy system models, the industry’s electricity demands have to be provided in a high temporal and sectoral resolution, which, to date, is not the case due to a lack of open-source data. In this paper, a methodology for the generation of syntheticTo achieve its climate goals, the German industry has to undergo a transformation toward renewable energies. To analyze this transformation in energy system models, the industry’s electricity demands have to be provided in a high temporal and sectoral resolution, which, to date, is not the case due to a lack of open-source data. In this paper, a methodology for the generation of synthetic electricity load profiles is described; it was applied to 11 industry types. The modeling was based on the normalized daily load profiles for eight electrical end-use applications. The profiles were then further refined by using the mechanical processes of different branches. Finally, a fluctuation was applied to the profiles as a stochastic attribute. A quantitative RMSE comparison between real and synthetic load profiles showed that the developed method is especially accurate for the representation of loads from three-shift industrial plants. A procedure of how to apply the synthetic load profiles to a regional distribution of the industry sector completes the methodology.show moreshow less

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Metadaten
Author:Anna SandhaasGND, Hanhee KimGND, Niklas HartmannORCiDGND
Editor:Matti Lehtonen, Sasa Djokic, Jan Desmet, Lidija M. Korunović
Publisher:MDPI
Place of publication:Basel
Year of Publication:2022
Date of first Publication:2022/05/17
Tag:electrical load profiles; energy system modeling; industrial load profiles; industry
Parent Title (English):Energies
Volume:15
Issue:10
Article Number:3683
ISSN:1996-1073
First Page:1
Last Page:29
Document Type:Article (reviewed)
Language:English
Release Date:2022/06/07
Institutes:Bibliografie
Open Access: Open Access 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International
URN:https://urn:nbn:de:bsz:ofb1-opus4-57676
DOI:https://doi.org/10.3390/en15103683