Comparison of two strategies of reward-penalty mechanism for promoting net zero energy buildings

dc.contributor.authorLua, Yuehong
dc.contributor.authorA.Khanb, Zafar
dc.contributor.authorGündüz, Hasan
dc.contributor.authorWang, Changlong
dc.contributor.authorImran, Muhammad
dc.contributor.authorQureshie, Imran
dc.date.accessioned2021-07-01T09:24:28Z
dc.date.available2021-07-01T09:24:28Z
dc.date.issued2021en_US
dc.departmentMeslek Yüksekokulları, Teknik Bilimler Meslek Yüksekokulu, Elektronik ve Otomasyon Bölümüen_US
dc.description.abstractDue to reduction of feed in tariff, the exploration of design solutions for smart cost-effective energy system is required to enable the consumers to select the optimum capacity of renewable energy system. This study investigates an innovative reward-penalty mechanism which is specifically designed to promote net zero energy buildings and net zero energy communities. Two different strategies (i.e. the building-level-based strategy and the community-level-based strategy) are developed regarding the application of the proposed reward-penalty mechanism. The electricity loads of family-houses in Ireland ranging from 1,286 kWh/y to 36,802 kWh/y are used to study the effect of the proposed strategies. The results show that both strategies lead to a similar cost versus zero-energy-building level relationship, i.e. a higher profit is related to a higher zero-energy-building level whilst a heavier financial penalty is related to a lower zero-energy-building level. The difference between the costs for the entire community (100 family-houses) predicted by the two different strategies is observed to be less than 10%. The building-level-based strategy is observed to produce the change rate of cost versus zero-energy-building level curve that often deviates significantly from the expected parabolic curve designed in this study, thus the community-level-based strategy provides an advantage over the building-level-based strategy. In addition, the Monte Carlo sampling method is used to quantify the uncertainty of the proposed reward-penalty function. © 2021 Elsevier Ltden_US
dc.identifier.issn22131388
dc.identifier.orcid0000-0003-3145-1755
dc.identifier.scopus2-s2.0-85107986030
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.seta.2021.101347
dc.identifier.urihttps://hdl.handle.net/20.500.12639/2802
dc.identifier.volume47en_US
dc.identifier.wosWOS:000755358100002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorGündüz, Hasan
dc.language.isoen
dc.publisherElsevier Ltden_US
dc.relation.ispartofSustainable Energy Technologies and Assessmentsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectChange rate of costen_US
dc.subjectNet zero energy buildingen_US
dc.subjectReward-penalty mechanismen_US
dc.subjectZero-energy-building levelen_US
dc.titleComparison of two strategies of reward-penalty mechanism for promoting net zero energy buildingsen_US
dc.typeArticle

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