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Automation architecture for harnessing the demand response potential of aqueous parts cleaning machines

Fuhrländer-Völker, Daniel ; Magin, Jonathan ; Weigold, Matthias (2025)
Automation architecture for harnessing the demand response potential of aqueous parts cleaning machines.
In: Production Engineering : Research and Development, 2023, 17 (6)
doi: 10.26083/tuprints-00028384
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

To reduce global greenhouse gas emissions, numerous new renewable power plants are installed and integrated in the power grid. Due to the volatile generation of renewable power plants large storage capacity has to be installed and electrical consumer must adapt to periods with more or less electrical generation. Industry, as one of the largest global consumers of electrical energy, can help by adjusting its electricity consumption to renewable production (demand response). Industrial aqueous parts cleaning machines offer a great potential for demand response as they often have inherent energy storage potential and their process can be adapted for energy-flexible operation. Therefore, this paper presents a method for implementing demand response measures to aqueous parts cleaning machines. We first determine the potential for shifting electrical consumption. Then, we adapt the automation program of the machine so that submodules and process steps with high potential can be energy-flexibly controlled. We apply the method to an aqueous parts cleaning machine in batch process at the ETA Research Factory.

Typ des Eintrags: Artikel
Erschienen: 2025
Autor(en): Fuhrländer-Völker, Daniel ; Magin, Jonathan ; Weigold, Matthias
Art des Eintrags: Zweitveröffentlichung
Titel: Automation architecture for harnessing the demand response potential of aqueous parts cleaning machines
Sprache: Englisch
Publikationsjahr: 16 Januar 2025
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: Dezember 2023
Ort der Erstveröffentlichung: Berlin ; Heidelberg
Verlag: Springer
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Production Engineering : Research and Development
Jahrgang/Volume einer Zeitschrift: 17
(Heft-)Nummer: 6
DOI: 10.26083/tuprints-00028384
URL / URN: https://tuprints.ulb.tu-darmstadt.de/28384
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

To reduce global greenhouse gas emissions, numerous new renewable power plants are installed and integrated in the power grid. Due to the volatile generation of renewable power plants large storage capacity has to be installed and electrical consumer must adapt to periods with more or less electrical generation. Industry, as one of the largest global consumers of electrical energy, can help by adjusting its electricity consumption to renewable production (demand response). Industrial aqueous parts cleaning machines offer a great potential for demand response as they often have inherent energy storage potential and their process can be adapted for energy-flexible operation. Therefore, this paper presents a method for implementing demand response measures to aqueous parts cleaning machines. We first determine the potential for shifting electrical consumption. Then, we adapt the automation program of the machine so that submodules and process steps with high potential can be energy-flexibly controlled. We apply the method to an aqueous parts cleaning machine in batch process at the ETA Research Factory.

Freie Schlagworte: Demand response architecture, Energy flexibility, Production machine, Cyber-physical production system, Industry 4.0, Aqueous parts cleaning machine
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-283848
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle und handwerkliche Fertigung
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW)
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion
Hinterlegungsdatum: 16 Jan 2025 14:03
Letzte Änderung: 17 Jan 2025 16:07
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