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dc.contributor.authorMediavilla Intxausti, Asier
dc.contributor.authorElguezabal Esnarrizaga, Peru ORCID
dc.contributor.authorLasarte, Natalia
dc.date.accessioned2023-03-07T16:48:37Z
dc.date.available2023-03-07T16:48:37Z
dc.date.issued2023-03
dc.identifier.citationEnergy and Buildings 282 : (2023) // Article ID 112795es_ES
dc.identifier.issn0378-7788
dc.identifier.issn1872-6178
dc.identifier.urihttp://hdl.handle.net/10810/60294
dc.description.abstractProcess digitalisation and automation is unstoppable in all industries, including construction. However, its widespread adoption, even for non-experts, demands easy-to-use tools that reduce technical requirements. BIM to BEM (Building Energy Models) workflows are a clear example, where ad-hoc prepared models are needed. This paper describes a methodology, based on graph techniques, to automate it by highly reducing the input BIM requirements found in similar approaches, being applicable to almost any IFC. This is especially relevant in retrofitting, where reality capture tools (e.g., 3D laser scanning, object recognition in drawings) are prone to create geometry clashes and other inconsistencies, posing higher challenges for automation. Another innovation presented is its multi-scale nature, efficiently addressing the surroundings impact in the energy model. The application to selected test cases has been successful and further tests are ongoing, considering a higher variety of BIM models in relation to tools and techniques used and model sizes.es_ES
dc.description.sponsorshipThe authors would like to express the gratitude to the European Commission by funding the research projects BIM4REN, EPCRECAST and ENSNARE (Grant Agreement No. 820773, 893118 and 958445, respectively), under the Horizon 2020 programme, where the presented work was conducted. This manuscript reflects only the authors’ views, and the Commission is not responsible for any use that may be made of the information it contains.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/893118es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/958445es_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/820773es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectopen BIMes_ES
dc.subjectBEMes_ES
dc.subjectmultiscale modelses_ES
dc.subjectbuilding graphses_ES
dc.subjectprocess automationes_ES
dc.subjectIFCes_ES
dc.subjectgbXMLes_ES
dc.subjectenergy pluses_ES
dc.titleGraph-Based methodology for Multi-Scale generation of energy analysis models from IFCes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0378778823000257?via%3Dihubes_ES
dc.identifier.doi10.1016/j.enbuild.2023.112795
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería eléctricaes_ES
dc.departamentoeuIngeniaritza elektrikoaes_ES


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© 2023 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Except where otherwise noted, this item's license is described as © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)