@article{e0bd5408aac64b6982d7742bd14da1cf,
title = "Graph-Based methodology for Multi-Scale generation of energy analysis models from IFC",
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.",
keywords = "BEM, Building graphs, Energy Plus, IFC, Multiscale models, Open BIM, Process automation, gbXML",
author = "Asier Mediavilla and Peru Elguezabal and Natalia Lasarte",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors",
year = "2023",
month = mar,
day = "1",
doi = "10.1016/j.enbuild.2023.112795",
language = "English",
volume = "282",
journal = "Energy and Buildings",
issn = "0378-7788",
publisher = "Elsevier BV",
}