Methodology for Generating Synthetic Load Profiles for Different Industry Types

Anna Sandhaas, Hanhee Kim and Niklas Hartmann
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Anna Sandhaas: Institute of Sustainable Energy Systems, Offenburg University of Applied Sciences, 77652 Offenburg, Germany
Hanhee Kim: Institute of Sustainable Energy Systems, Offenburg University of Applied Sciences, 77652 Offenburg, Germany
Niklas Hartmann: Institute of Sustainable Energy Systems, Offenburg University of Applied Sciences, 77652 Offenburg, Germany

Energies, 2022, vol. 15, issue 10, 1-29

Abstract: 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 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.

Keywords: electrical load profiles; industry; industrial load profiles; energy system modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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