Generating second-level space boundaries from large-scale IFC-compliant building information models using multiple geometry representations

Huaquan Ying, Sanghoon Lee

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Automatically extracting information needed for building energy modeling (BEM) from an IFC BIM can significantly improve efficiency and accuracy in preparing BEM inputs. Second-level space boundaries (SBs) define geometric data required for BEM, but they are often missing or incorrectly defined in IFC models. To address limitations in existing algorithms when generating second-level SBs of complex buildings, this study presents a novel approach that computes geometric and semantic information of second-level SBs using multiple geometry representations of building elements and spaces in an IFC model. Advantages of the approach include: it has relatively loose requirements on the quality of input IFC models; it can process building objects with common curved shapes; it improves computing efficiency when processing large-scale building models by employing three types of geometric representations. The approach was evaluated with two large-scale real-world building models, and the results show that second-level SBs are generated accurately and highly efficiently.

Original languageEnglish
Article number103659
JournalAutomation in Construction
Volume126
DOIs
StatePublished - Jun 2021

Keywords

  • Building energy modeling (BEM)
  • Building information modeling (BIM)
  • Industry Foundation Classes (IFC)
  • Multiple geometry representations (MGRs)
  • Second-level space boundary

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