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.…
Document Type: | Article (reviewed) |
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Zitierlink: | https://opus.hs-offenburg.de/5767 | Bibliografische Angaben |
Title (English): | Methodology for Generating Synthetic Load Profiles for Different Industry Types |
Author: | Anna SandhaasStaff MemberORCiDGND, Hanhee KimStaff MemberORCiDGND, Niklas HartmannStaff MemberORCiDGND |
Year of Publication: | 2022 |
Date of first Publication: | 2022/05/17 |
Place of publication: | Basel |
Publisher: | MDPI |
First Page: | 1 |
Last Page: | 29 |
Article Number: | 3683 |
Parent Title (English): | Energies |
Editor: | Matti Lehtonen, Sasa Djokic, Jan Desmet, Lidija M. Korunović |
Volume: | 15 |
Issue: | 10 |
ISSN: | 1996-1073 |
DOI: | https://doi.org/10.3390/en15103683 |
URN: | https://urn:nbn:de:bsz:ofb1-opus4-57676 |
Language: | English | Inhaltliche Informationen |
Institutes: | Forschung / INES - Institut für nachhaltige Energiesysteme |
Fakultät Maschinenbau und Verfahrenstechnik (M+V) | |
Collections of the Offenburg University: | Bibliografie |
Tag: | electrical load profiles; energy system modeling; industrial load profiles; industry | Formale Angaben |
Relevance for "Jahresbericht über Forschungsleistungen": | Wiss. Zeitschriftenartikel reviewed: Listung in Master Journal List |
Open Access: | Open Access |
Licence (German): | ![]() |