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Integrating Energy Flexibility in Production Planning and Control : An Energy Flexibility Data Model-Based Approach

Titelangaben

Bank, Lukas ; Wenninger, Simon ; Köberlein, Jana ; Lindner, Martin ; Kaymakci, Can ; Weigold, Matthias ; Sauer, Alexander ; Schilp, Johannes:
Integrating Energy Flexibility in Production Planning and Control : An Energy Flexibility Data Model-Based Approach.
In: Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL). - Vancouver, Canada , 2021

Volltext

Link zum Volltext (externe URL): Volltext

Angaben zu Projekten

Projekttitel:
Offizieller Projekttitel
Projekt-ID
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
Ohne Angabe
Projektgruppe WI Digital Finance
Ohne Angabe

Abstract

Production companies face the challenge of reducing energy costs and carbon emissions while achieving the logistical objectives at the same time. Active management of electricity demand, also known as Demand Side Management (DSM) or Energy Flexibility (EF), has been recognized as an effective approach to minimize 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 the power grid, if the incentives are set appropriately. Although production companies possess great potential for EF, implementation is not yet common. Approaches to practical implementation for integrating energy flexibility into production planning and control (PPC) to dynamically adapt the consumption to the electricity supply are scarce to non-existent due to the high complexity of such approaches. Therefore, this paper presents an approach to integrate EF into PPC. Based on the energy-oriented PPC, the approach identifies and models EF of processes in a generic energy flexibility data model (EFDM) which is subsequently integrated in the energy-oriented production plan and further optimised on the market side. An application-oriented use case in the chemical industry is presented to evaluate the approach. The implementation of the approach shows that EF can have a variety of characteristics in production systems and a clear, structured, and applicable method can help companies to an automated EF. Finally, based on the results of the use case, it is recommended to introduce EF in production companies stepwise by extending existing planning and scheduling systems with the presented approach to achieve a realization of flexibility measures and a reduction of energy costs.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: Demand Side Management (DSM); Energy Flexibility (EF); Production Planning and Control (PPC); Energy-Flexible PPC; Energy Flexibility Data Model (EFDM)
Institutionen der Universität: Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät > Fachgruppe Betriebswirtschaftslehre
Forschungseinrichtungen
Forschungseinrichtungen > Institute in Verbindung mit der Universität
Forschungseinrichtungen > Institute in Verbindung mit der Universität > Projektgruppe Wirtschaftsinformatik der Fraunhofer FIT
Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Kernkompetenzzentrum Finanz- & Informationsmanagement
Fakultäten
Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
Eingestellt am: 14 Jun 2021 07:24
Letzte Änderung: 08 Aug 2022 05:05
URI: https://eref.uni-bayreuth.de/id/eprint/65811