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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.date.accessioned2017-03-15T11:08:25Z
dc.date.available2017-03-15T11:08:25Z
dc.date.issued2017
dc.identifier.citationManjarres Diana, Mabe Lara, Oregi Xabat, Landa-Torres Itziar, Arrizabalaga Eneko, A Multi-objective Harmony Search Algorithm for Optimal Energy and Environmental Refurbishment at District Level Scale, Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017), 320-332, http://dx.doi.org/10.1007/978-981-10-3728-3_32 "The final publication is available at link.springer.com”en
dc.identifier.isbn978-981-10-3727-6en
dc.identifier.issn2194-5357en
dc.identifier.urihttp://hdl.handle.net/11556/381
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.sponsorshipOptEEmAL project, Grant Agreement Number 680676en
dc.language.isoengen
dc.publisherSpringer Singaporeen
dc.titleA Multi-objective Harmony Search Algorithm for Optimal Energy and Environmental Refurbishment at District Level Scaleen
dc.typeconference outputen
dc.identifier.doi10.1007/978-981-10-3728-3_32en
dc.isiNoen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/680676/EU/Optimised Energy Efficient Design Platform for Refurbishment at District Level/OPTEEMALen
dc.rights.accessRightsopen accessen
dc.subject.keywordsEnergyen
dc.subject.keywordsEnvironmentalen
dc.subject.keywordsRefurbishmenten
dc.subject.keywordsDistricten
dc.subject.keywordsMulti-objectiveen
dc.subject.keywordsOptimizationen
dc.page.final332en
dc.page.initial320en
dc.volume.number514en
dc.identifier.esbn978-981-10-3728-3en


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