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

Title data

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

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information
Projektgruppe WI Digital Finance
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Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Demand Side Management (DSM); Energy Flexibility (EF); Production Planning and Control (PPC); Energy-Flexible PPC; Energy Flexibility Data Model (EFDM)
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Jun 2021 07:24
Last Modified: 08 Aug 2022 05:05