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

Strobel, Nina ; Fuhrländer-Völker, Daniel ; Weigold, Matthias ; Abele, Eberhard (2021)
Quantifying the Demand Response Potential of Inherent Energy Storages in Production Systems.
In: Energies, 2020, 13 (16)
doi: 10.26083/tuprints-00018648
Artikel, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (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.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Strobel, Nina ; Fuhrländer-Völker, Daniel ; Weigold, Matthias ; Abele, Eberhard
Art des Eintrags: Zweitveröffentlichung
Titel: Quantifying the Demand Response Potential of Inherent Energy Storages in Production Systems
Sprache: Englisch
Publikationsjahr: 2021
Publikationsdatum der Erstveröffentlichung: 2020
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Energies
Jahrgang/Volume einer Zeitschrift: 13
(Heft-)Nummer: 16
Kollation: 22 Seiten
DOI: 10.26083/tuprints-00018648
URL / URN: https://tuprints.ulb.tu-darmstadt.de/18648
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Herkunft: Zweitveröffentlichung aus gefördertem Golden Open Access
Kurzbeschreibung (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.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-186480
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW)
Hinterlegungsdatum: 20 Jul 2021 08:44
Letzte Änderung: 07 Dez 2023 13:01
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