dc.contributor.author | Mediavilla Intxausti, Asier | |
dc.contributor.author | Elguezabal Esnarrizaga, Peru ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.contributor.author | Lasarte, Natalia | |
dc.date.accessioned | 2023-03-07T16:48:37Z | |
dc.date.available | 2023-03-07T16:48:37Z | |
dc.date.issued | 2023-03 | |
dc.identifier.citation | Energy and Buildings 282 : (2023) // Article ID 112795 | es_ES |
dc.identifier.issn | 0378-7788 | |
dc.identifier.issn | 1872-6178 | |
dc.identifier.uri | http://hdl.handle.net/10810/60294 | |
dc.description.abstract | Process 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.sponsorship | The 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.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/893118 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/958445 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/820773 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | open BIM | es_ES |
dc.subject | BEM | es_ES |
dc.subject | multiscale models | es_ES |
dc.subject | building graphs | es_ES |
dc.subject | process automation | es_ES |
dc.subject | IFC | es_ES |
dc.subject | gbXML | es_ES |
dc.subject | energy plus | es_ES |
dc.title | Graph-Based methodology for Multi-Scale generation of energy analysis models from IFC | es_ES |
dc.type | info:eu-repo/semantics/article | es_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.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0378778823000257?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.enbuild.2023.112795 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Ingeniería eléctrica | es_ES |
dc.departamentoeu | Ingeniaritza elektrikoa | es_ES |