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dc.contributor.author
Antipova, Ekaterina
dc.contributor.author
Boer, Dieter
dc.contributor.author
Cabeza, Luisa F.
dc.contributor.author
Guillén Gosálbez, Gonzalo
dc.contributor.author
Jiménez, Laureano
dc.date.accessioned
2020-08-24T08:15:21Z
dc.date.available
2020-08-12T07:16:17Z
dc.date.available
2020-08-24T08:15:21Z
dc.date.issued
2013-03-01
dc.identifier.issn
0360-5442
dc.identifier.issn
1873-6785
dc.identifier.other
10.1016/j.energy.2013.01.001
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/431138
dc.description.abstract
Multi-objective optimization (MOO) is increasingly being used in a wide variety of applications to identify alternatives that balance several criteria. The energy sector is not an exception to this trend. Unfortunately, the complexity of MOO grows with the number of environmental objectives. This limitation is critical in energy systems, in which several environmental criteria are typically used to assess the merits of a given technology. In this paper, we investigate the use of a rigorous dimensionality reduction method for reducing the complexity of MOO as applied to an energy system (i.e., a solar Rankine cycle coupled with reverse osmosis and thermal storage). Instead of using an aggregated environmental metric, a common approach for reducing the number of environmental objectives in MOO, we propose to optimize the system in a reduced search space of objectives that fully describe its performance and which results from eliminating redundant criteria from the analysis. Numerical results show that it is possible to reduce the problem complexity by omitting redundant environmental indicators from the optimization. © 2013 Elsevier Ltd.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Decision-making
en_US
dc.subject
Multi-objective optimization
en_US
dc.subject
Life cycle assessment (LCA)
en_US
dc.subject
Solar energy
en_US
dc.subject
Modelling
en_US
dc.subject
Delta error
en_US
dc.title
Uncovering relationships between environmental metrics in the multi-objective optimization of energy systems: A case study of a thermal solar Rankine reverse osmosis desalination plant
en_US
dc.type
Journal Article
dc.date.published
2013-02-01
ethz.journal.title
Energy
ethz.journal.volume
51
en_US
ethz.journal.abbreviated
Energy
ethz.pages.start
50
en_US
ethz.pages.end
60
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::02020 - Dep. Chemie und Angewandte Biowiss. / Dep. of Chemistry and Applied Biosc.::02516 - Inst. f. Chemie- und Bioingenieurwiss. / Inst. Chemical and Bioengineering::09655 - Guillén Gosálbez, Gonzalo / Guillén Gosálbez, Gonzalo
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02020 - Dep. Chemie und Angewandte Biowiss. / Dep. of Chemistry and Applied Biosc.::02516 - Inst. f. Chemie- und Bioingenieurwiss. / Inst. Chemical and Bioengineering::09655 - Guillén Gosálbez, Gonzalo / Guillén Gosálbez, Gonzalo
en_US
ethz.date.deposited
2020-08-12T07:16:26Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-08-24T08:15:33Z
ethz.rosetta.lastUpdated
2022-03-29T02:57:49Z
ethz.rosetta.versionExported
true
ethz.COinS
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