Walther, Jessica ; Dietrich, Bastian ; Grosch, Benedikt Emanuel ; Lindner, Martin ; Fuhrländer-Völker, Daniel ; Strobel, Nina ; Weigold, Matthias (2024)
A Methodology for the Classification and Characterisation of Industrial Demand-Side Integration Measures.
In: Energies, 2022, 15 (3)
doi: 10.26083/tuprints-00026565
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
In the context of the ongoing climate change and increasingly strict climate goals of the European Green Deal, industry faces a growing challenge to decrease its high demand for electrical energy and its greenhouse gas emissions. Demand-Side Integration measures have a great potential to reduce the greenhouse gas emissions of the industrial sector. However, there is still no definition and consistent characterising terms for Industrial Demand-Side Integration. The lack of clarity in concepts and definitions may impose hurdles in the transfer of results and methodologies from research activities and thus, in the implementation of measures in the industry. Furthermore, the economic value of implementing these measures is often unclear but of high relevance to industrial consumers. This paper proposes a comprehensive Industrial Demand-Side Integration definition and a methodology to classify and characterise its measures. The methodology is aimed at helping industrial consumers decide which measures can be implemented in their specific setting and how these measures can be monetised. The methodology is validated by applying it to eight relevant use cases in the ETA Research Factory.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Walther, Jessica ; Dietrich, Bastian ; Grosch, Benedikt Emanuel ; Lindner, Martin ; Fuhrländer-Völker, Daniel ; Strobel, Nina ; Weigold, Matthias |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | A Methodology for the Classification and Characterisation of Industrial Demand-Side Integration Measures |
| Sprache: | Englisch |
| Publikationsjahr: | 29 Januar 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2022 |
| Ort der Erstveröffentlichung: | Basel |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Energies |
| Jahrgang/Volume einer Zeitschrift: | 15 |
| (Heft-)Nummer: | 3 |
| Kollation: | 26 Seiten |
| DOI: | 10.26083/tuprints-00026565 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/26565 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | In the context of the ongoing climate change and increasingly strict climate goals of the European Green Deal, industry faces a growing challenge to decrease its high demand for electrical energy and its greenhouse gas emissions. Demand-Side Integration measures have a great potential to reduce the greenhouse gas emissions of the industrial sector. However, there is still no definition and consistent characterising terms for Industrial Demand-Side Integration. The lack of clarity in concepts and definitions may impose hurdles in the transfer of results and methodologies from research activities and thus, in the implementation of measures in the industry. Furthermore, the economic value of implementing these measures is often unclear but of high relevance to industrial consumers. This paper proposes a comprehensive Industrial Demand-Side Integration definition and a methodology to classify and characterise its measures. The methodology is aimed at helping industrial consumers decide which measures can be implemented in their specific setting and how these measures can be monetised. The methodology is validated by applying it to eight relevant use cases in the ETA Research Factory. |
| Freie Schlagworte: | industrial demand-side integration, demand response, energy flexibility, classification |
| ID-Nummer: | 923 |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-265658 |
| Zusätzliche Informationen: | This article belongs to the Special Issue Impact of Demand Response in Energy System |
| 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: | 29 Jan 2024 10:54 |
| Letzte Änderung: | 30 Jan 2024 07:04 |
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| Suche nach Titel in: | TUfind oder in Google |
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