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A Methodology for the Classification and Characterisation of Industrial Demand-Side Integration Measures

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
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: A Methodology for the Classification and Characterisation of Industrial Demand-Side Integration Measures
Language: English
Date: 29 January 2024
Place of Publication: Darmstadt
Year of primary publication: 2022
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Energies
Volume of the journal: 15
Issue Number: 3
Collation: 26 Seiten
DOI: 10.26083/tuprints-00026565
Corresponding Links:
Origin: Secondary publication service
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.

Uncontrolled Keywords: industrial demand-side integration, demand response, energy flexibility, classification
Identification Number: 923
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-265658
Additional Information:

This article belongs to the Special Issue Impact of Demand Response in Energy System

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: 29 Jan 2024 10:54
Last Modified: 06 Feb 2024 07:49
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/26565
PPN: 515246905
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