Reference : Aggregating Energy Flexibility for Demand-Side Management in Manufacturing Companies ...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Energy
Business & economic sciences : Management information systems
Security, Reliability and Trust
http://hdl.handle.net/10993/48237
Aggregating Energy Flexibility for Demand-Side Management in Manufacturing Companies – A Two-Step Method
English
Lindner, M []
Wenninger, Simon []
Fridgen, Gilbert mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX >]
Weigold, M []
2022
Production at the Leading Edge of Technology
631-638
Yes
978-3-030-78424-9
Congress of the German Academic Association for Production Technology (WGP)
2021
Germany
[en] Towards greener production, manufacturing companies face several challenges, for example peak load shaving or flexible production planning as parts of demand-side management (DSM). DSM uses processes that can be shut down, shifted, or controlled. Advances in digitalization in the energy sector and manufacturing systems create transparency which in turn offers new opportunities to commercialize energy flexibility potentials as optimally and automatically as possible. The variety of flexibilities in manufacturing systems and various dependencies of different kinds of complex manufacturing processes complicate the modelling and aggregation of flexibility. To overcome this challenge, we developed a method for the aggregation of energy flexibilities that is based on a generic energy flexibility data model. The method proposes a two-step approach to aggregate flexibilities cost efficiently and considers manufacturing specific limitations. For cost-efficient aggregation, we use in the first step the merit-order model known from the energy industry and in the second step the bin-packing problem originating from combinatorial optimization, adapted according to the generic data model. The two-step approach allows energy flexibilities to be aggregated across industries, facilities, and systems, thus ensuring broad applicability.
http://hdl.handle.net/10993/48237
10.1007/978-3-030-78424-9_69

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