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- W3136179341 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. • A novel approach to enrich IFC BIMs with second-level SBs for energy simulation. • It consists of a series of computational geometry and domain-specific algorithms. • It tolerates certain geometric clashes and object classification errors in IFC BIMs. • It can process spaces and building elements with some common curved shapes. • It is highly efficient for large-scale IFC building models." @default.
- W3136179341 created "2021-03-29" @default.
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- W3136179341 date "2021-06-01" @default.
- W3136179341 modified "2023-10-14" @default.
- W3136179341 title "Generating second-level space boundaries from large-scale IFC-compliant building information models using multiple geometry representations" @default.
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- W3136179341 doi "https://doi.org/10.1016/j.autcon.2021.103659" @default.
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