Quantifying the Demand Response Potential of Inherent Energy Storages in Production Systems

Nina Strobel, Daniel Fuhrländer-Völker, Matthias Weigold and Eberhard Abele
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Nina Strobel: Institute for Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany
Daniel Fuhrländer-Völker: Institute for Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany
Matthias Weigold: Institute for Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany
Eberhard Abele: Institute for Production Management, Technology and Machine Tools, Technical University of Darmstadt, 64287 Darmstadt, Germany

Energies, 2020, vol. 13, issue 16, 1-22

Abstract: The increasing share of volatile, renewable energy sources rises the demand for consumers who can shift their electrical power demand in time. In theory, the industrial sector offers great potential here, as it accounts for a large proportion of electricity demand. However, the heterogeneous structure of facilities in factories and the concerns of operators regarding data security and process control often prevent the implementation of demand side management measures in this sector. In order to counteract these obstacles, this paper presents a general mathematical framework for modelling and evaluating different types of inherent energy storages (IES) which typically can be found in industrial production systems. The method can be used to calculate the flexibility potential of the IES in a factory with focus on hysteresis-controlled devices and make the potential visible and usable for power grid stabilization. The method is applied in a typical production line from metalworking industry to provide live monitoring of the current flexibility potential of selected devices.

Keywords: thermostatically controlled loads (TCLs); virtual energy storages (VESs); inherent energy storages (IESs); demand response (DR); production systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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