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

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dc.contributor.authorAntipova, Ekaterina
dc.contributor.authorBoer, Dieter
dc.contributor.authorCabeza, Luisa F.
dc.contributor.authorGuillén Gosálbez, Gonzalo
dc.contributor.authorJiménez Esteller, Laureano
dc.date.accessioned2015-02-03T10:28:09Z
dc.date.issued2013
dc.description.abstractMulti-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.ca_ES
dc.description.sponsorshipThe authors would like to acknowledge financial support from the Spanish GovernmentENE2011-28269-C03-03, ENE2011-22722, DPI2012-37154-C02-02, CTQ2012-37039-C02) and to thank the Catalan Government for the quality accreditation given to their research groups SUSCAPE and GREA (2009 SGR 545, 2009 SGR 534).
dc.identifier.doihttps://doi.org/10.1016/j.energy.2013.01.001
dc.identifier.idgrec019182
dc.identifier.issn0360-5442
dc.identifier.urihttp://hdl.handle.net/10459.1/47827
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relationMICINN/PN2008-2011/ENE2011-28269-C03-03
dc.relationMICINN/PN2008-2011/ENE2011-22722
dc.relationMICINN/PN2008-2011/DPI2012-37154-C02-02
dc.relationMICINN/PN2008-2011/CTQ2012-37039-C02
dc.relation.isformatofVersió postprint del document publicat a https://doi.org/10.1016/j.energy.2013.01.001ca_ES
dc.relation.ispartofEnergy, 2013, núm. 51, p. 50-60ca_ES
dc.rightscc-by-nc-nd, (c) Elsevier, 2013ca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.subjectDecision-makingca_ES
dc.subjectMulti-objective optimizationca_ES
dc.subjectLife Cycle Assessmentca_ES
dc.titleUncovering relationships between environmental metrics in the multi-objective optimization of energy systems: A case study of a thermal solar Rankine reverse osmosis desalination plantca_ES
dc.typearticleca_ES
dc.type.versionacceptedVersionca_ES
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