• Media type: E-Article
  • Title: A Methodology for the Classification and Characterisation of Industrial Demand-Side Integration Measures
  • Contributor: Walther, Jessica; Dietrich, Bastian; Grosch, Benedikt; Lindner, Martin; Fuhrländer-Völker, Daniel; Strobel, Nina; Weigold, Matthias
  • imprint: MDPI AG, 2022
  • Published in: Energies
  • Language: English
  • DOI: 10.3390/en15030923
  • ISSN: 1996-1073
  • Keywords: Energy (miscellaneous) ; Energy Engineering and Power Technology ; Renewable Energy, Sustainability and the Environment ; Electrical and Electronic Engineering ; Control and Optimization ; Engineering (miscellaneous)
  • Origination:
  • Footnote:
  • Description: <jats:p>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.</jats:p>
  • Access State: Open Access