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dc.contributor.authorCavallaro, Fausto
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorŠtreimikienė, Dalia
dc.date.accessioned2023-09-18T17:02:43Z
dc.date.available2023-09-18T17:02:43Z
dc.date.issued2018
dc.identifier.issn0959-6526
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/119262
dc.description.abstractConcentrated solar power (CSP) technologies are becoming attractive in more and more countries for the production of electricity and other applications. Currently, the investment costs of CSP technologies are higher than traditional power plants, so a potential way to improve their commercial competitiveness could be the proper integration of CSP systems with other energy sources such as natural gas. This integration process, also known as “Hybridization,” can increase the economic value of the energy produced and help with the transition to “solar-only” power plants in the near future. To support a comparative assessment of the available solutions we suggest the development and application of a multicriteria algorithm. In this paper an intuitionistic fuzzy multicriteria approach combined with fuzzy entropy will be specifically proposed to rank different solar-hybrid power plants.eng
dc.formatPDF
dc.format.extentp. 407-416
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyFLUIDEX
dc.relation.isreferencedbyGEOBASE
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyCurrent Contents / Engineering, Computing & Technology
dc.relation.isreferencedbyCurrent Contents / Agriculture, Biology & Environmental Sciences
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScienceDirect
dc.source.urihttps://doi.org/10.1016/j.jclepro.2017.12.269
dc.subjectAE03 - Pastatų aprūpinimas energija, jos vartojimo būdai, sistemos ir procesai / Building of energy supply, it’s application methods, systems and processes
dc.titleConcentrated solar power (CSP) hybridized systems. Ranking based on an intuitionistic fuzzy multi-criteria algorithm
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references73
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity of Molise, Campobasso
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionLietuvos agrarinės ekonomikos institutas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 006 - Energetika ir termoinžinerija / Energy and thermoengineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.enConcentrated solar power (CSP)
dc.subject.enSolar-fossil
dc.subject.enIntuitionistic fuzzy multicriteria
dc.subject.enShannon entropy
dc.subject.enSustainability
dcterms.sourcetitleJournal of cleaner production
dc.description.volumeVol. 179
dc.publisher.nameElsevier
dc.publisher.cityOxford
dc.identifier.doi000425568700035
dc.identifier.doi2-s2.0-85041482034
dc.identifier.doi10.1016/j.jclepro.2017.12.269
dc.identifier.elaba25912822


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