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Original Articles

A process to divide curved walls in IFC-BIM into segmented straight walls for building energy analysis

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Pages 333-345 | Received 23 Jan 2013, Accepted 03 May 2013, Published online: 24 Aug 2015
 

Abstract

The amount of energy that buildings consume is currently attracting significant interest throughout the world, and considerable attention is being devoted to the development of green buildings to reduce energy consumption; however, the current process being used to conduct building energy analysis has a significant shortcoming in that it cannot directly use building information modelling (BIM)-based representational data that includes a curved wall. Currently, the curved wall must be converted into segmented straight walls (SSWs) in the building model in order for the building energy analysis (BEA) program to be able to recognize and use the data. In this paper, we have proposed a segmentation process for curved walls in industry foundation classes (IFC)-based BIM for BEA. The proposed process consists of three sub-processes: 1) extracting data from the IFC model; 2) dividing the curved wall into several segmented straight walls; and 3) generating an INP file as a building description for DOE-2.2-based BEA. The proposed process will enable the engineers who are responsible for BEA to use a BIM-based model directly in the BEA program without having to do additional work. The proposed process can help ensure that the BEA results are accurate and reliable.

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Notes on contributors

Karam Kim

Karam KIM. PhD Student majoring Architectural Engineering at Kwangwoon University located in Seoul, South Korea. He is an Academic Member of BuildingSMART Korea. His research interests include data interoperability using BIM technology, semantic web, and IFC schema in construction engineering.

Jungho Yu

Jungho YU. PhD, Associate Professor of Architectural Engineering at Kwangwoon University located in Seoul, South Korea. He is a member of various institute related to construction industry including Building SMART Korea. His research interests include construction IT and decision analysis in construction management.

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