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The Impact of Substituting Production Technologies on the Economic Demand Response Potential in Industrial Processes

DOI zum Zitieren dieses Dokuments: https://doi.org/10.3390/en11092217
URN to cite this document: urn:nbn:de:bvb:703-epub-4266-9

Title data

Schöpf, Michael ; Weibelzahl, Martin ; Nowka, Lisa:
The Impact of Substituting Production Technologies on the Economic Demand Response Potential in Industrial Processes.
In: Energies. Vol. 11 (2018) Issue 9 . - pp. 2217-2230.
ISSN 1996-1073
DOI: https://doi.org/10.3390/en11092217

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Abstract

Given the low carbon transformation of our energy systems, demand response has the potential to increase the adaptability of electricity demand to a volatile electricity supply. In this article, we investigate the demand response potential for the case where substituting technologies are available in an energy-intensive industrial production process. The available production technologies may not only differ in their technical characteristics, but also vary by the necessary input materials. We present a generic linear optimization model for such a production process and apply it to a real-world example in the paper industry. The results show that the question of which substituting technologies are used in an optimal production schedule to which degree, is highly influenced by the combination of current input parameters such as prices. In direct consequence, the corresponding demand response potential is not a fixed number. From an operational perspective, this input dependency implies that the price relation of raw input materials used in substituting technologies can be a crucial driving force for the ability and willingness of industrial enterprises to provide demand response. In addition, from a strategic perspective, long-run investments in demand response potentials may rely on expected price development of major input factors.

Further data

Item Type: Article in a journal
Keywords: demand response; demand response potential; load shifting; smart grid; load management; energy markets; decision support systems
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
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
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
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-4266-9
Date Deposited: 04 Mar 2019 12:25
Last Modified: 04 Mar 2019 12:25
URI: https://epub.uni-bayreuth.de/id/eprint/4266

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