Bank, L.; Wenninger, S.; Köberlein, J.; Lindner, M.; Kaymakci, C. et al.: Integrating Energy Flexibility in Production Planning and Control - An Energy Flexibility Data Model-Based Approach. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2021. Hannover : publish-Ing., 2021, S. 668-677. DOI: https://doi.org/10.15488/11249
Zusammenfassung: | |
Production companies face the challenge of reducing energy costs and carbon emissions while achieving thelogistical objectives at the same time. Active management of electricity demand, also known as DemandSide Management (DSM) or Energy Flexibility (EF), has been recognized as an effective approach tominimize energy procurement costs for example by reducing peak loads. Additionally, it helps to integrate(self-generated, volatile) renewable energies to reduce carbon emissions and has the ability to stabilize thepower grid, if the incentives are set appropriately. Although production companies possess great potentialfor EF, implementation is not yet common. Approaches to practical implementation for integrating energyflexibility into production planning and control (PPC) to dynamically adapt the consumption to theelectricity supply are scarce to non-existent due to the high complexity of such approaches. Therefore, thispaper presents an approach to integrate EF into PPC. Based on the energy-oriented PPC, the approachidentifies and models EF of processes in a generic energy flexibility data model (EFDM) which issubsequently integrated in the energy-oriented production plan and further optimised on the market side. Anapplication-oriented use case in the chemical industry is presented to evaluate the approach. Theimplementation of the approach shows that EF can have a variety of characteristics in production systemsand a clear, structured, and applicable method can help companies to an automated EF. Finally, based on theresults of the use case, it is recommended to introduce EF in production companies stepwise by extendingexisting planning and scheduling systems with the presented approach to achieve a realization of flexibilitymeasures and a reduction of energy costs. | |
Lizenzbestimmungen: | CC BY 3.0 DE |
Publikationstyp: | BookPart |
Publikationsstatus: | publishedVersion |
Erstveröffentlichung: | 2021 |
Die Publikation erscheint in Sammlung(en): | Proceedings CPSL 2021 Proceedings CPSL 2021 |
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