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dc.contributor.authorGarcía-Fuentes, M A
dc.contributor.authorHernández, G
dc.contributor.authorSerna, V
dc.contributor.authorMartín, S
dc.contributor.authorÁlvarez, S
dc.contributor.authorLilis, G N
dc.contributor.authorGiannakis, G
dc.contributor.authorKatsigarakis, K
dc.contributor.authorMabe, L
dc.contributor.authorOregi, X
dc.contributor.authorManjarres, D
dc.contributor.authorRidouane, H El
dc.contributor.authorDe Tommasi, L
dc.date.accessioned2019-09-02T13:59:46Z
dc.date.available2019-09-02T13:59:46Z
dc.date.issued2019-06
dc.identifier.citationGarcía-Fuentes, M A, G Hernández, V Serna, S Martín, S Álvarez, G N Lilis, G Giannakis, et al. “OptEEmAL: Decision-Support Tool for the Design of Energy Retrofitting Projects at District Level.” IOP Conference Series: Earth and Environmental Science 290 (June 21, 2019): 012129. doi:10.1088/1755-1315/290/1/012129.en
dc.identifier.issn1755-1307en
dc.identifier.urihttp://hdl.handle.net/11556/751
dc.description.abstractDesigning energy retrofitting actions poses an elevated number of problems, as the definition of the baseline, selection of indicators to measure performance, modelling, setting objectives, etc. This is time-consuming and it can result in a number of inaccuracies, leading to inadequate decisions. While these problems are present at building level, they are multiplied at district level, where there are complex interactions to analyse, simulate and improve. OptEEmAL proposes a solution as a decision-support tool for the design of energy retrofitting projects at district level. Based on specific input data (IFC(s), CityGML, etc.), the platform will automatically simulate the baseline scenario and launch an optimisation process where a series of Energy Conservation Measures (ECMs) will be applied to this scenario. Its performance will be evaluated through a holistic set of indicators to obtain the best combination of ECMs that complies with user's objectives. A great reduction in time and higher accuracy in the models are experienced, since they are automatically created and checked. A subjective problem is transformed into a mathematical problem; it simplifies it and ensures a more robust decision-making. This paper will present a case where the platform has been tested.en
dc.description.sponsorshipThis research work has been partially funded by the European Commission though the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 680676. All related information to the project is available at https://www.opteemal-project.eu.en
dc.language.isoengen
dc.publisherInstitute of Physics Publishingen
dc.titleOptEEmAL: Decision-Support Tool for the Design of Energy Retrofitting Projects at District Levelen
dc.typeconferenceObjecten
dc.identifier.doi10.1088/1755-1315/290/1/012129en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/680676/EU/Optimised Energy Efficient Design Platform for Refurbishment at District Level/OptEEmALen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsDecision makingen
dc.subject.keywordsIntelligent buildingsen
dc.subject.keywordsRetrofittingen
dc.subject.keywordsStructural designen
dc.subject.keywordsSustainable developmenten
dc.identifier.essn1755-1315en
dc.journal.titleIOP Conference Series: Earth and Environmental Scienceen
dc.volume.number290en
dc.conference.titleCentral Europe towards Sustainable Building 2019, CESB 2019; Prague; Czech Republic; 2 July 2019 through 4 July 2019en


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