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A Generic Data Model for Describing Flexibility in Power Markets

Title data

Schott, Paul ; Sedlmeir, Johannes ; Strobel, Nina ; Weber, Thomas ; Fridgen, Gilbert ; Abele, Eberhard:
A Generic Data Model for Describing Flexibility in Power Markets.
In: Energies. Vol. 12 (May 2019) Issue 10 .
ISSN 1996-1073
DOI: https://doi.org/10.3390/en12101893

Official URL: Volltext

Abstract in another language

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.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: demand side management; demand response; generic flexibility data model; flexibility modeling; power system; industrial processes; digitalization
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management > Professorship Business Informations Systems and sustainable IT management- Univ.-Prof. Dr. Gilbert Fridgen
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 24 May 2019 06:18
Last Modified: 28 May 2019 09:22
URI: https://eref.uni-bayreuth.de/id/eprint/49077