Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9589
DC FieldValueLanguage
dc.contributor.authorPoullikkas, Andreas-
dc.contributor.otherΠουλλικκάς, Ανδρέας-
dc.date.accessioned2017-02-10T12:07:43Z-
dc.date.available2017-02-10T12:07:43Z-
dc.date.issued2014-09-02-
dc.identifier.citationInternational Journal of Sustainable Energy, 2014, vol. 35, no. 9, pp. 875-886en_US
dc.identifier.issn14786451-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9589-
dc.description.abstractIn this work, a modified optimisation model for the integration of renewable energy sources for power-generation (RES-E) technologies in power-generation systems on a unit commitment basis is developed. The purpose of the modified optimisation procedure is to account for RES-E capacity auctions for different solar photovoltaic (PV) capacity electricity prices. The optimisation model developed uses a genetic algorithm (GA) technique for the calculation of the required RES-E levy (or green tax) in the electricity bills. Also, the procedure enables the estimation of the level of the adequate (or eligible) feed-in-tariff to be offered to future RES-E systems, which do not participate in the capacity auctioning procedure. In order to demonstrate the applicability of the optimisation procedure developed the case of PV capacity auctioning for commercial systems is examined. The results indicated that the required green tax, in order to promote the use of RES-E technologies, which is charged to the electricity customers through their electricity bills, is reduced with the reduction in the final auctioning price. This has a significant effect related to the reduction of electricity bills.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Sustainable Energyen_US
dc.rights© Taylor & Francis.en_US
dc.subjectCapacity auctioningen_US
dc.subjectPhotovoltaicsen_US
dc.subjectRenewable energy sourcesen_US
dc.titleModelling of auctioning mechanism for solar photovoltaic capacityen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationAmerican University of Sharjahen_US
dc.subject.categoryEnvironmental Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryUnited Arab Emiratesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1080/14786451.2014.953162en_US
dc.relation.issue9en_US
dc.relation.volume35en_US
cut.common.academicyear2014-2015en_US
dc.identifier.spage875en_US
dc.identifier.epage886en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.journal.journalissn1478-646X-
crisitem.journal.publisherTaylor & Francis-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcidhttps://orcid.org/0000-0003-3703-4901-
crisitem.author.parentorgFaculty of Engineering and Technology-
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