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A Generic Data Model for Describing Flexibility in Power Markets

Schott, Paul ; Sedlmeir, Johannes ; Strobel, Nina ; Weber, Thomas ; Fridgen, Gilbert ; Abele, Eberhard (2019):
A Generic Data Model for Describing Flexibility in Power Markets.
In: Energies, 12 (10), p. 1893. MDPI AG, Basel, Switzerland, ISSN 1996-1073,
DOI: 10.3390/en12101893,
[Article]

Abstract

In this article, we present a new descriptive model for industrial flexibility with respect to power consumption. The advancing digitization in the energy sector opens up new possibilities for utilizing and automatizing the marketing of flexibility potentials and therefore facilitates a more advanced energy management. This requires a standardized description and modeling of power-related flexibility. The data model in this work has been developed in close collaboration with several partners from different industries in the context of a major German research project. A suitable set of key figures allows for also describing complex production processes that exhibit interdependencies and storage-like properties. The data model can be applied to other areas as well, e.g., power plants, plug-in electric vehicles, or power-related flexibility of households.

Item Type: Article
Erschienen: 2019
Creators: Schott, Paul ; Sedlmeir, Johannes ; Strobel, Nina ; Weber, Thomas ; Fridgen, Gilbert ; Abele, Eberhard
Title: A Generic Data Model for Describing Flexibility in Power Markets
Language: English
Abstract:

In this article, we present a new descriptive model for industrial flexibility with respect to power consumption. The advancing digitization in the energy sector opens up new possibilities for utilizing and automatizing the marketing of flexibility potentials and therefore facilitates a more advanced energy management. This requires a standardized description and modeling of power-related flexibility. The data model in this work has been developed in close collaboration with several partners from different industries in the context of a major German research project. A suitable set of key figures allows for also describing complex production processes that exhibit interdependencies and storage-like properties. The data model can be applied to other areas as well, e.g., power plants, plug-in electric vehicles, or power-related flexibility of households.

Journal or Publication Title: Energies
Volume of the journal: 12
Issue Number: 10
Publisher: MDPI AG, Basel, Switzerland
Uncontrolled Keywords: Demand Response;demand side management;digitalization;flexibility modeling;generic flexibility data model;industrial processes;power system
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production
Date Deposited: 09 Jul 2019 05:45
DOI: 10.3390/en12101893
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