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dc.contributor.authorOregi, Xabat
dc.contributor.authorHermoso, Nekane
dc.contributor.authorArrizabalaga, Eneko
dc.contributor.authorMabe, Lara
dc.contributor.authorMunoz, Inigo
dc.date.accessioned2018-10-10T14:00:31Z
dc.date.available2018-10-10T14:00:31Z
dc.date.issued2018-08
dc.identifier.citationOregi, Xabat, Nekane Hermoso, Eneko Arrizabalaga, Lara Mabe, and Inigo Munoz. “Sensitivity Assessment of a District Energy Assessment Characterisation Model Based on Cadastral Data.” Energy Procedia 147 (August 2018): 181–188. doi:10.1016/j.egypro.2018.07.053.en
dc.identifier.issn1876-6102en
dc.identifier.urihttp://hdl.handle.net/11556/624
dc.description.abstractSustainable energy planning of cities is a complex problem which should address the comparative analysis of alternative future energy scenarios form a social, economic and environmental point of view. In this regard, the development of methods and tools to allow building energy demand characterization of large areas is becoming one of the main challenges in this field. New studies focused on the energy diagnosis of districts and cities with different location and climatic conditions are necessary to calibrate current methods and assumptions, as well as for the replication of the validated method in other cities around the globe. This paper provides a comparative analysis of the results obtained during the sensitivity assessment of a specific tool for the building energy demand characterization at city scale developed by Tecnalia in the European research project PlanHeat for four different European cities. During this calibration process, the influence of the main parameters that can be adjusted within the tool is evaluated and discussed. Results show that the relevance of adjusting properly each parameter varies depending on the climate zone of the city evaluated and other characteristics of the conjunction of buildings included in each district.en
dc.description.sponsorshipThe work described in this article is partially funded by the PLANHEAT project, Grant Agreement Number 723757, 2016-2019, as part of the call H2020-EE-2016-RIA-IA and by the mySMARTLife project, Grant Agreement Number 731297, 2016-2021, as part of the call H2020-SCC-2016. The file work for this study was conducted thanks to the active collaboration of the Energy and Environment department of the municipality of Antwerp, the Climate and Environmental Management of the municipality of Helsinki, the Department SMARTCity and Innovation and Department Spatial Basic Infrastructure of the municipality of Hamburg and to the Research, Innovation and Higher Education Department of the municipality of Nantes Métropole.en
dc.language.isoengen
dc.publisherElsevier Ltden
dc.titleSensitivity assessment of a district energy assessment characterisation model based on cadastral dataen
dc.typeconferenceObjecten
dc.identifier.doi10.1016/j.egypro.2018.07.053en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/723757/EU/Integrated tool for empowering public authorities in the development of sustainable plans for low carbon heating and cooling/Planheaten
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/731297/EU/Smart Transition of EU cities towards a new concept of smart Life and Economy/mySMARTLifeen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsDistrict energy mappingen
dc.subject.keywordsCadastral dataen
dc.subject.keywordsSensitivity assessmenten
dc.subject.keywordsInfluence coefficienten
dc.journal.titleEnergy Procediaen
dc.page.final188en
dc.page.initial181en
dc.volume.number147en
dc.conference.title2018 International Scientific Conference on Environmental and Climate Technologies, CONECT 2018; Riga; Latvia; 16 May 2018 through 18 May 2018en


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