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Holistic approach for an energy-flexible operation of a machine tool with cooling supply

Lindner, Martin ; Grosch, Benedikt ; Elserafi, Ghada ; Dietrich, Bastian ; Weigold, Matthias (2023)
Holistic approach for an energy-flexible operation of a machine tool with cooling supply.
In: Energies, 16 (9)
doi: 10.3390/en16093943
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

The following paper examines the practicality of amethodical approach for energy-flexible and energy-optimal operation in the field of metal-cutting production. The analysis is based on the example of a grinding machine and its central cooling-supply system. In the first step, an energy-flexibility data model is built for each subsystem, which describes energy flexibility potentials generically. This is then extended to enable combined energy cost-optimal production planning. As a basis for the links between the data model representations, the cold flows between the subsystems are modeled using parameter-estimation methods, which have a mean absolute error of only 2.3 percent, making the subsequent installation of heat meters unnecessary. Based on the presented approach, the results successfully validate the possibility of energy-flexible cost-optimal and sensor-reduced production planning by reducing energy costs by 6.6 percent overall and 1.9 percent per workpiece produced.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Lindner, Martin ; Grosch, Benedikt ; Elserafi, Ghada ; Dietrich, Bastian ; Weigold, Matthias
Art des Eintrags: Bibliographie
Titel: Holistic approach for an energy-flexible operation of a machine tool with cooling supply
Sprache: Englisch
Publikationsjahr: 7 Mai 2023
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Energies
Jahrgang/Volume einer Zeitschrift: 16
(Heft-)Nummer: 9
DOI: 10.3390/en16093943
URL / URN: https://www.mdpi.com/1996-1073/16/9/3943
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Kurzbeschreibung (Abstract):

The following paper examines the practicality of amethodical approach for energy-flexible and energy-optimal operation in the field of metal-cutting production. The analysis is based on the example of a grinding machine and its central cooling-supply system. In the first step, an energy-flexibility data model is built for each subsystem, which describes energy flexibility potentials generically. This is then extended to enable combined energy cost-optimal production planning. As a basis for the links between the data model representations, the cold flows between the subsystems are modeled using parameter-estimation methods, which have a mean absolute error of only 2.3 percent, making the subsequent installation of heat meters unnecessary. Based on the presented approach, the results successfully validate the possibility of energy-flexible cost-optimal and sensor-reduced production planning by reducing energy costs by 6.6 percent overall and 1.9 percent per workpiece produced.

Freie Schlagworte: demand-side management, energy flexibility, machine tool, manufacturing, optimization
Zusätzliche Informationen:

Artikel-ID: 3943

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: 09 Mai 2023 08:27
Letzte Änderung: 23 Jan 2024 06:40
PPN: 50762999X
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