TY - GEN

T1 - Synthetic Load Profile Generation for Production Chains in Energy Intensive Industrial Subsectors

AU - Binderbauer, Paul

AU - Kienberger, Thomas

PY - 2022/2/18

Y1 - 2022/2/18

N2 - The generation of synthetic load profiles offers the possibility to easilyand efficiently depict the dynamic energy consumption and generation of single consumers.Therefore, it is vital for evaluating future challenges for the physical energy system, supportthe forecast models of grid operators and energy suppliers and improve deriving demand sidemanagement measures for consumers. In this paper, we present Ganymed as a suitablesoftware for assessing energy consumption and generation behaviour of production chains inenergy intensive industrial subsectors. A dynamic user interface allows a swift and easyapplication and adaption of processes and production routes. The underlying methodology isbased upon discrete-event simulation as a case study is applied to prove the functionality ofGanymed. Within this case study, we modelled a part of a production chain of an existingcement plant and compared the generated load profiles to measured ones. The results showgood approximations to the measured load profile with an average deviation of 4.1%.

AB - The generation of synthetic load profiles offers the possibility to easilyand efficiently depict the dynamic energy consumption and generation of single consumers.Therefore, it is vital for evaluating future challenges for the physical energy system, supportthe forecast models of grid operators and energy suppliers and improve deriving demand sidemanagement measures for consumers. In this paper, we present Ganymed as a suitablesoftware for assessing energy consumption and generation behaviour of production chains inenergy intensive industrial subsectors. A dynamic user interface allows a swift and easyapplication and adaption of processes and production routes. The underlying methodology isbased upon discrete-event simulation as a case study is applied to prove the functionality ofGanymed. Within this case study, we modelled a part of a production chain of an existingcement plant and compared the generated load profiles to measured ones. The results showgood approximations to the measured load profile with an average deviation of 4.1%.

M3 - Beitrag in Konferenzband

BT - Konferenzband - EnInnov 2022

T2 - 17. Symposium Energieinnovation 2022EnInnov2022

Y2 - 16 February 2022 through 18 February 2022

ER -