<div class="csl-bib-body">
<div class="csl-entry">Birkelbach, F. (2023, May 9). <i>Optimization Strategies for Industrial Excess Heat Recovery</i> [Conference Presentation]. Energy Future Industry 2023, Göteborg, Sweden.</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/187693
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dc.description.abstract
To effectively utilize industrial excess heat, both the design and the operation of industrial energy systems need to be optimized accordingly. Traditionally this has been done through heuristic (i.e. experience and rule-based) approaches. Mathematical optimization has the potential to find better solutions through smart modeling and advanced algorithms.
In this talk three applications of mathematical optimization to improve excess heat utilization are presented: Design optimization (heat exchanger network synthesis, operation optimization (industrial energy hub) and a simultaneous design and operation optimization.
The impact on energy savings are shown and the connection with emissions and cost are discussed. The potential of using mathematical optimization as a tool for designing and operating energy systems is highlighted.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.subject
excess heat
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dc.subject
mathematical programming
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dc.subject
decarbonization
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dc.title
Optimization Strategies for Industrial Excess Heat Recovery
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dc.type
Presentation
en
dc.type
Vortrag
de
dc.relation.grantno
883006
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dc.relation.grantno
884340
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dc.type.category
Conference Presentation
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tuw.publication.invited
invited
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tuw.project.title
IEA IETS Annex18 Digitalisierung, KI und verwandte Technologien für industrielle Energieeffizienz THG Emissionsreduktion
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tuw.project.title
Innovation Flüssige Energie
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tuw.researchTopic.id
C6
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tuw.researchTopic.id
E3
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Climate Neutral, Renewable and Conventional Energy Supply Systems