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dc.contributor.author
Baumgärtner, Nils
dc.contributor.author
Leisin, Matthias
dc.contributor.author
Bahl, Björn
dc.contributor.author
Hennen, Maike
dc.contributor.author
Bardow, André
dc.contributor.editor
Eden, Mario R.
dc.contributor.editor
Ierapetritou, Marianthi G.
dc.contributor.editor
Towler, Gavin P.
dc.date.accessioned
2020-07-23T08:17:52Z
dc.date.available
2020-07-20T10:00:10Z
dc.date.available
2020-07-23T08:17:52Z
dc.date.issued
2018
dc.identifier.isbn
978-0-444-64244-8
en_US
dc.identifier.isbn
978-0-444-64241-7
en_US
dc.identifier.issn
1570-7946
dc.identifier.other
10.1016/B978-0-444-64241-7.50127-0
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/427142
dc.description.abstract
The synthesis of energy systems is a complex optimization task depending on multiple large time series. Time-coupling constraints, e.g., due to storage systems, complicate computation even further. To still efficiently solve time-coupled synthesis problems, we propose a rigorous synthesis method. In the proposed method, lower and upper bounds are calculated to obtain a feasible solution of the original synthesis problem with known quality. We compute the lower bound by binary relaxation. For the upper bound, we use time-series aggregation to obtain a feasible design for the system. Employing this feasible design, we solve an operational problem, which can be solved efficiently. To tighten the upper bound, we iteratively increase the time resolution of the aggregation. In a case study for an industrial energy system, we show that only few typical periods are required to obtain a solution of the original synthesis problem with excellent quality. The method has fast convergence outperforming a commercial state-of-the-art solver.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Energy systems
en_US
dc.subject
Optimal design
en_US
dc.subject
Typical periods
en_US
dc.subject
Rigorous optimization
en_US
dc.subject
Relaxation
en_US
dc.title
Rigorous synthesis of energy systems by relaxation and time-series aggregation to typical periods
en_US
dc.type
Conference Paper
dc.date.published
2018-08-02
ethz.book.title
13th International Symposium on Process Systems Engineering (PSE 2018)
en_US
ethz.journal.title
Computer Aided Chemical Engineering
ethz.journal.volume
44
en_US
ethz.journal.issue
Part B
en_US
ethz.pages.start
793
en_US
ethz.pages.end
798
en_US
ethz.event
13th International Symposium on Process Systems Engineering (PSE 2018)
en_US
ethz.event.location
San Diego, CA, USA
en_US
ethz.event.date
July 1-5, 2018
en_US
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02668 - Inst. f. Energie- und Verfahrenstechnik / Inst. Energy and Process Engineering::09696 - Bardow, André / Bardow, André
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02668 - Inst. f. Energie- und Verfahrenstechnik / Inst. Energy and Process Engineering::09696 - Bardow, André / Bardow, André
en_US
ethz.date.deposited
2020-07-20T10:00:19Z
ethz.source
BATCH
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-07-23T08:18:04Z
ethz.rosetta.lastUpdated
2021-02-15T15:37:56Z
ethz.rosetta.versionExported
true
ethz.COinS
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