Rodyti trumpą aprašą

dc.contributor.authorCavallaro, Fausto
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorŠtreimikienė, Dalia
dc.contributor.authorMardani, Abbas
dc.date.accessioned2023-09-18T18:35:29Z
dc.date.available2023-09-18T18:35:29Z
dc.date.issued2019
dc.identifier.issn0040-1625
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/129645
dc.description.abstractConcentrated solar power (CSP) technology has shown considerable long-term growth with varying levels of peak development and stall phases over the years. More and more countries are finding CSP technology attractive for the production of electricity and other applications. CSP offers a variety of applications where solar power can be used appropriately, although the debate about which CSP technology has a better future perspective is still ongoing. This technology sector has seen a multitude of advancements and technological innovations. These improvements are primarily concerned with the design of the collectors and the related materials they are made from, the heat transfer processes, and the production and accumulation of energy. In order to assess these CSP technologies, in this paper we propose a fuzzy multi-criteria method. Then, Solar tower (ST), Parabolic solar trough (PST), Compact linear Fresnel reflector (CLFR), and Dish Stirling (DS) are evaluated using a modified intuitionistic fuzzy TOPSIS with a trigonometric entropy vector weight.eng
dc.formatPDF
dc.format.extentp. 258-270
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.source.urihttps://www.sciencedirect.com/science/article/pii/S0040162518312344?via%3Dihub
dc.source.urihttps://doi.org/10.1016/j.techfore.2018.12.009
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:35813899/datastreams/COVER/content
dc.titleAssessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references98
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity of Molise
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionLietuvos agrarinės ekonomikos institutas
dc.contributor.institutionUniversiti Teknologi Malaysia (UTM)
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enConcentrated solar power (CSP)
dc.subject.entechnological assessment
dc.subject.enintuitionistic fuzzy TOPSIS
dc.subject.entrigonometric entropy
dc.subject.ensustainability
dcterms.sourcetitleTechnological forecasting and social change
dc.description.volumevol. 140
dc.publisher.nameElsevier
dc.publisher.cityNew York
dc.identifier.doi000460495300022
dc.identifier.doi10.1016/j.techfore.2018.12.009
dc.identifier.elaba35813899


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