LAPSE:2023.4031
Published Article
LAPSE:2023.4031
A Generic Data Model for Describing Flexibility in Power Markets
February 22, 2023
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.
Keywords
demand response, demand side management, digitalization, flexibility modeling, generic flexibility data model, industrial processes, power system
Suggested Citation
Schott P, Sedlmeir J, Strobel N, Weber T, Fridgen G, Abele E. A Generic Data Model for Describing Flexibility in Power Markets. (2023). LAPSE:2023.4031
Author Affiliations
Schott P: Project Group Business & Information Systems Engineering of the Fraunhofer FIT, 95444 Bayreuth, Germany [ORCID]
Sedlmeir J: Project Group Business & Information Systems Engineering of the Fraunhofer FIT, 95444 Bayreuth, Germany [ORCID]
Strobel N: Institute of Production Management, Technology and Machine Tools, Technische Universität Darmstadt, 64287 Darmstadt, Germany [ORCID]
Weber T: Institute of Production Management, Technology and Machine Tools, Technische Universität Darmstadt, 64287 Darmstadt, Germany
Fridgen G: FIM Research Center, University of Bayreuth Project Group Business & Information Systems Engineering of the Fraunhofer FIT, 95444 Bayreuth, Germany [ORCID]
Abele E: Institute of Production Management, Technology and Machine Tools, Technische Universität Darmstadt, 64287 Darmstadt, Germany
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Journal Name
Energies
Volume
12
Issue
10
Article Number
E1893
Year
2019
Publication Date
2019-05-18
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en12101893, Publication Type: Journal Article
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LAPSE:2023.4031
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https://doi.org/10.3390/en12101893
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