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dc.contributor.authorPonsich, Antonin Sebastien
dc.contributor.authorDomènech, Bruno
dc.contributor.authorFerrer Martí, Laia
dc.contributor.authorJuanpera Gallel, Marc
dc.contributor.authorPastor Moreno, Rafael
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Organització d'Empreses
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Mecànica
dc.date.accessioned2023-03-03T09:55:37Z
dc.date.issued2022-08-01
dc.identifier.citationPonsich, A. [et al.]. A multi-objective optimization approach for the design of stand-alone electrification systems based on renewable energies. "Expert systems with applications", 1 Agost 2022, vol. 199, núm. article 116939, p. 1-17.
dc.identifier.issn0957-4174
dc.identifier.urihttp://hdl.handle.net/2117/384535
dc.description.abstractStand-alone systems based on renewable energies have proven suitable for the electrification of rural areas. Generally, the design stage of such systems only considers economic efficiency, through a single-objective optimization approach minimizing the system cost for a given demand. However, when designing a system, distinct solutions covering different demands and thus with different costs should be obtained in order to allow the users to select the one that best fits their needs and budget. In this regard, a conflict arises between the minimization of the project cost (in order to implement economically sustainable facilities) and the maximization of the energy/power supply. This work introduces a strategy based on Multi-objective Optimization (MO), aiming to produce a comprehensive set of configurations that represent the best trade-off between the total cost of the system and the energy and power supplied to consumers. The process developed here first identifies a set of non-dominated solutions and, if necessary, prunes this set through mechanisms based on Evolutionary MO in order to produce a manageable number of efficient solutions. The working parameters and internal operators of this computational process were finely tuned and designed through the numerical comparison of several pruning techniques. The computational experiments performed for two real rural communities from Peru demonstrate the relevance of the proposed approach, which is able to provide a reduced number of solutions showing distinct features regarding the three objectives (cost and energy/power supplied), among which decision-makers can select more easily the one that most suits their particular needs or preferences.
dc.format.extent17 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Desenvolupament sostenible
dc.subject.lcshRural electrification
dc.subject.lcshRenewable energy sources
dc.subject.otherStand-alone electrification systems
dc.subject.otherMulti-objective optimization
dc.subject.otherArchive pruning strategies
dc.titleA multi-objective optimization approach for the design of stand-alone electrification systems based on renewable energies
dc.typeArticle
dc.subject.lemacElectrificació rural
dc.subject.lemacEnergies renovables
dc.contributor.groupUniversitat Politècnica de Catalunya. DOPS - Disseny i Optimització de Processos i Serveis
dc.identifier.doi10.1016/j.eswa.2022.116939
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0957417422003694
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac33073195
dc.description.versionPostprint (author's final draft)
dc.date.lift2024-08-01
local.citation.authorPonsich, A.; Domènech, B.; Ferrer-Martí, L.; Juanpera, M.; Pastor, Rafael
local.citation.publicationNameExpert systems with applications
local.citation.volume199
local.citation.numberarticle 116939
local.citation.startingPage1
local.citation.endingPage17


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