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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
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Quantifying the Demand Response Potential of Inherent Energy Storages in Production Systems
Language: English
Date: 2021
Year of primary publication: 2020
Publisher: MDPI
Journal or Publication Title: Energies
Volume of the journal: 13
Issue Number: 16
Collation: 22 Seiten
DOI: 10.26083/tuprints-00018648
Corresponding Links:
Origin: Secondary publication via sponsored Golden Open Access
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: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-186480
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
Date Deposited: 20 Jul 2021 08:44
Last Modified: 20 Jul 2021 08:44
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/18648
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