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dc.contributor.authorYuehong Lu
dc.contributor.authorMohammed Alghassab
dc.contributor.authorManuel S. Alvarez-Alvarado
dc.contributor.authorHasan Gunduz
dc.contributor.authorZafar A. Khan
dc.contributor.authorMuhammad Imran
dc.date.accessioned2020-07-16T18:42:36Z
dc.date.available2020-07-16T18:42:36Z
dc.date.created2020-07-14 23:34
dc.date.issued2020-07-01
dc.identifieroai:doaj.org/article:c91ee6805d2a4fd3b8c863a66d0e887c
dc.identifier10.3390/su12145570
dc.identifier2071-1050
dc.identifierhttps://doaj.org/article/c91ee6805d2a4fd3b8c863a66d0e887c
dc.identifier.urihttp://hdl.handle.net/20.500.12424/3954834
dc.description.abstractGeneration system interruptions in net-zero energy buildings (NZEBs) may result in missing the net-zero targets by a great margin. Consequently, it is significant to incorporate a realistic reliability model for renewable energy systems (RESs) that considers aging and long-term weather conditions. This study proposed a robust design optimization method that deals with the selection of RES to achieve NZEB. Different case studies were evaluated: 1. Deterministic approach; 2. Markov chain-based reliability without the aging effect; 3. Markov chain-based reliability with the aging effect. The results showed that the optimal sizes of RES, considering the aging effect, were much larger than the other two cases based on the annual energy balance. Moreover, the consideration of the aging effect on the reliability assessment of the generation system for NZEB opens a pathway for a more robust and economic design of RES.
dc.languageEN
dc.publisherMDPI AG
dc.relation.ispartofhttps://www.mdpi.com/2071-1050/12/14/5570
dc.relation.ispartofhttps://doaj.org/toc/2071-1050
dc.sourceSustainability, Vol 12, Iss 5570, p 5570 (2020)
dc.subjectaging effect
dc.subjectMarkov chain model
dc.subjectMonte Carlo simulation
dc.subjectnet-zero energy building
dc.subjectEnvironmental effects of industries and plants
dc.subjectTD194-195
dc.subjectRenewable energy sources
dc.subjectTJ807-830
dc.subjectEnvironmental sciences
dc.subjectGE1-350
dc.titleOptimal Distribution of Renewable Energy Systems Considering Aging and Long-Term Weather Effect in Net-Zero Energy Building Design
dc.typeArticle
ge.collectioncode2071-1050
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ge.identifier.legacyglobethics:16784331
ge.lastmodificationdate2020-07-14 23:34
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ge.oai.repositoryid52
ge.oai.setnameLCC:Environmental effects of industries and plants
ge.oai.setnameLCC:Renewable energy sources
ge.oai.setnameLCC:Environmental sciences
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ge.linkhttps://doaj.org/article/c91ee6805d2a4fd3b8c863a66d0e887c


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