Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level

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dc.contributor.authorManjarres, Diana
dc.contributor.authorMabe, Lara
dc.contributor.authorOregi, Xabat
dc.contributor.authorLanda-Torres, Itziar
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionIA
dc.contributor.institutionPLANIFICACIÓN ENERGÉTICA
dc.date.issued2019
dc.descriptionPublisher Copyright: © 2019 by the authors.
dc.description.abstractEnergy efficiency and environmental performance optimization at the district level are following an upward trend mostly triggered by minimizing the Global Warming Potential (GWP) to 20% by 2020 and 40% by 2030 settled by the European Union (EU) compared with 1990 levels. This paper advances over the state of the art by proposing two novel multi-objective algorithms, named Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Harmony Search (MOHS), aimed at achieving cost-effective energy refurbishment scenarios and allowing at district level the decision-making procedure. This challenge is not trivial since the optimisation process must provide feasible solutions for a simultaneous environmental and economic assessment at district scale taking into consideration highly demanding real-based constraints regarding district and buildings’ specific requirements. Consequently, in this paper, a two-stage optimization methodology is proposed in order to reduce the energy demand and fossil fuel consumption with an affordable investment cost at building level and minimize the total payback time while minimizing the GWP at district level. Aimed at demonstrating the effectiveness of the proposed two-stage multi-objective approaches, this work presents simulation results at two real district case studies in Donostia-San Sebastian (Spain) for which up to a 30% of reduction of GWP at district level is obtained for a Payback Time (PT) of 2–3 years.en
dc.description.statusPeer reviewed
dc.format.extent1
dc.format.extent1725546
dc.identifier.citationManjarres , D , Mabe , L , Oregi , X & Landa-Torres , I 2019 , ' Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level ' , Sustainability , vol. 11 , no. 5 , 1495 , pp. 1495 . https://doi.org/10.3390/su11051495
dc.identifier.doi10.3390/su11051495
dc.identifier.issn2692-2924
dc.identifier.otherresearchoutputwizard: 11556/748
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85069758471&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofSustainability
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsEnergy
dc.subject.keywordsEnvironmental
dc.subject.keywordsGlobal warming potential
dc.subject.keywordsDistrict refurbishment
dc.subject.keywordsMulti-objective
dc.subject.keywordsOptimization
dc.subject.keywordsEnergy
dc.subject.keywordsEnvironmental
dc.subject.keywordsGlobal warming potential
dc.subject.keywordsDistrict refurbishment
dc.subject.keywordsMulti-objective
dc.subject.keywordsOptimization
dc.subject.keywordsGeography, Planning and Development
dc.subject.keywordsRenewable Energy, Sustainability and the Environment
dc.subject.keywordsEnvironmental Science (miscellaneous)
dc.subject.keywordsEnergy Engineering and Power Technology
dc.subject.keywordsManagement, Monitoring, Policy and Law
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.subject.keywordsSDG 8 - Decent Work and Economic Growth
dc.subject.keywordsSDG 13 - Climate Action
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/680676/EU/Optimised Energy Efficient Design Platform for Refurbishment at District Level/OptEEmAL
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/680676/EU/Optimised Energy Efficient Design Platform for Refurbishment at District Level/OptEEmAL
dc.subject.keywordsFunding Info
dc.subject.keywordsPart of this work has been developed from results obtained during the H2020 “Optimised Energy_x000D_ Efficient Design Platform for Refurbishment at District Level” (OptEEmAL) project, Grant No. 680676.
dc.subject.keywordsPart of this work has been developed from results obtained during the H2020 “Optimised Energy_x000D_ Efficient Design Platform for Refurbishment at District Level” (OptEEmAL) project, Grant No. 680676.
dc.titleTwo-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Levelen
dc.typejournal article
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