<div class="csl-bib-body">
<div class="csl-entry">Fischer, M., Schenzel, K. W., & Hofmann, R. (2023). Multi-stage optimization for marketing industrial flexibility. In A. C. Kokossis, M. Georgiadis, & E. Pistikopoulos (Eds.), <i>33rd European Symposium on Computer Aided Process Engineering</i> (pp. 215–220). Elsevier. https://doi.org/10.1016/B978-0-443-15274-0.50035-4</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/189222
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dc.description.abstract
This work presents a method based on Mixed Integer Linear Programming (MILP) to consider wholesale energy markets in the operational optimization of industrial energy systems. A two-stage optimization framework is presented to consider price differences between the day-ahead and the intraday spot markets to optimize the electricity procurement in both markets. A representative use case of an industrial process is used to optimize the energy supply from the power generators and storage units and minimize energy costs as well as to benefit from participating in the wholesale market. The results show potential to save energy costs and make additional profits on the intraday market.
en
dc.language.iso
en
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dc.relation.ispartofseries
Computer Aided Mechanical Engineering
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dc.subject
Flexibility
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dc.subject
Intraday Market
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dc.subject
MILP
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dc.subject
Optimization
en
dc.title
Multi-stage optimization for marketing industrial flexibility
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
978-0-443-15274-0
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dc.description.startpage
215
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dc.description.endpage
220
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
33rd European Symposium on Computer Aided Process Engineering
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tuw.container.volume
52
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tuw.relation.publisher
Elsevier
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tuw.researchTopic.id
E6
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tuw.researchTopic.id
E3
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tuw.researchTopic.name
Sustainable Production and Technologies
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tuw.researchTopic.name
Climate Neutral, Renewable and Conventional Energy Supply Systems