Article (Scientific journals)
A Generic Data Model for Describing Flexibility in Power Markets
Schott, Paul; Sedlmeir, Johannes; Strobel, Nina et al.
2019In Energies, 12 (10)
Peer reviewed
 

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Keywords :
demand side management; demand response; generic flexibility data model; flexibility modeling; power system; industrial processes; digitalization
Abstract :
[en] 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.
Disciplines :
Computer science
Author, co-author :
Schott, Paul
Sedlmeir, Johannes
Strobel, Nina
Weber, Thomas
Fridgen, Gilbert  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Abele, Eberhard
External co-authors :
yes
Language :
English
Title :
A Generic Data Model for Describing Flexibility in Power Markets
Publication date :
2019
Journal title :
Energies
Volume :
12
Issue :
10
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 22 October 2020

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