Lindner, Martin ; Wenninger, S. ; Fridgen, G. ; Weigold, Matthias
Hrsg.: Behrens, Bernd-Arno ; Brosius, Alexander ; Drossel, Welf-Guntram ; Hintze, Wolfgang ; Ihlenfeldt, Steffen ; Nyhuis, Peter (2021)
Aggregating Energy Flexibility for Demand-Side Management in Manufacturing Companies — A Two-Step Method.
doi: 10.1007/978-3-030-78424-9_69
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
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 themerit-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.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2021 |
Herausgeber: | Behrens, Bernd-Arno ; Brosius, Alexander ; Drossel, Welf-Guntram ; Hintze, Wolfgang ; Ihlenfeldt, Steffen ; Nyhuis, Peter |
Autor(en): | Lindner, Martin ; Wenninger, S. ; Fridgen, G. ; Weigold, Matthias |
Art des Eintrags: | Bibliographie |
Titel: | Aggregating Energy Flexibility for Demand-Side Management in Manufacturing Companies — A Two-Step Method |
Sprache: | Englisch |
Publikationsjahr: | 20 September 2021 |
Ort: | Berlin |
Verlag: | Springer |
Buchtitel: | Production at the Leading Edge of Technology - Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP), Dresden, September 2021 |
Reihe: | Lecture Notes in Production Engineering |
DOI: | 10.1007/978-3-030-78424-9_69 |
Kurzbeschreibung (Abstract): | 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 themerit-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. |
Freie Schlagworte: | Demand-side management, Energy flexible manufacturing, Energy flexibility aggregation |
Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion |
Hinterlegungsdatum: | 21 Sep 2021 06:03 |
Letzte Änderung: | 09 Dez 2022 09:41 |
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