A Multi-objective Harmony Search Algorithm for Optimal Energy and Environmental Refurbishment at District Level Scale

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dc.contributor.authorManjarres, Diana
dc.contributor.authorMabe, Lara
dc.contributor.authorOregi, Xabat
dc.contributor.authorLanda-Torres, Itziar
dc.contributor.authorArrizabalaga, Eneko
dc.contributor.editorDel Ser, Javier
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionIA
dc.contributor.institutionPLANIFICACIÓN ENERGÉTICA
dc.date.issued2017
dc.descriptionPublisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.
dc.description.abstractNowadays municipalities are facing an increasing commitment regarding the energy and environmental performance of cities and districts. The multiple factors that characterize a district scenario, such as: refurbishment strategies’ selection, combination of passive, active and control measures, the surface to be refurbished and the generation systems to be substituted will highly influence the final impacts of the refurbishment solution. In order to answer this increasing demand and consider all above-mentioned district factors, municipalities need optimisation methods supporting the decision making process at district level scale when defining cost-effective refurbishment scenarios. Furthermore, the optimisation process should enable the evaluation of feasible solutions at district scale taking into account that each district and building has specific boundaries and barriers. Considering these needs, this paper presents a multi-objective approach allowing a simultaneous environmental and economic assessment of refurbishment scenarios at district scale. With the aim at demonstrating the effectiveness of the proposed approach, a real scenario of Gros district in the city of Donostia-San Sebastian (North of Spain) is presented. After analysing the baseline scenario in terms of energy performance, environmental and economic impacts, the multi-objective Harmony Search algorithm has been employed to assess the goal of reducing the environmental impacts in terms of Global Warming Potential (GWP) and minimizing the investment cost obtaining the best ranking of economic and environmental refurbishment scenarios for the Gros district.en
dc.description.statusPeer reviewed
dc.format.extent13
dc.format.extent1250383
dc.identifier.citationManjarres , D , Mabe , L , Oregi , X , Landa-Torres , I & Arrizabalaga , E 2017 , A Multi-objective Harmony Search Algorithm for Optimal Energy and Environmental Refurbishment at District Level Scale . in J Del Ser (ed.) , unknown . vol. 514 , 2194-5357 , Springer Singapore , pp. 320-332 , Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 , Bilbao , Spain , 22/02/17 . https://doi.org/10.1007/978-981-10-3728-3_32
dc.identifier.citationconference
dc.identifier.doi10.1007/978-981-10-3728-3_32
dc.identifier.isbn978-981-10-3727-6
dc.identifier.isbn9789811037276
dc.identifier.isbn978-9-8110-3728-3
dc.identifier.otherresearchoutputwizard: 11556/381
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85012195350&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Singapore
dc.relation.ispartofunknown
dc.relation.ispartofseries2194-5357
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsEnergy
dc.subject.keywordsEnvironmental
dc.subject.keywordsRefurbishment
dc.subject.keywordsDistrict
dc.subject.keywordsMulti-objective
dc.subject.keywordsOptimization
dc.subject.keywordsEnergy
dc.subject.keywordsEnvironmental
dc.subject.keywordsRefurbishment
dc.subject.keywordsDistrict
dc.subject.keywordsMulti-objective
dc.subject.keywordsOptimization
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsGeneral Computer Science
dc.subject.keywordsSDG 8 - Decent Work and Economic Growth
dc.subject.keywordsSDG 11 - Sustainable Cities and Communities
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.keywordsOptEEmAL project, Grant Agreement Number 680676
dc.subject.keywordsOptEEmAL project, Grant Agreement Number 680676
dc.titleA Multi-objective Harmony Search Algorithm for Optimal Energy and Environmental Refurbishment at District Level Scaleen
dc.typeconference output
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