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BIM IFC information mapping to building energy analysis (BEA) model with manually extended material information
Affiliation:1. Department of Global Construction Management, The University of Seoul, Republic of Korea;2. Department of Engineering Technology and Construction Management, The University of North Carolina at Charlotte, USA;3. Department of Architecture, Kyunghee University, College of Engineering, 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea;4. Department of Architectural Engineering, Kwangwoon University, 447-1, Wolgye-Dong, Nowon-Gu, 139-070, Seoul, Republic of Korea;5. Construction Engineering Research Laboratory, US Army Engineer Research and Development Center, 2902 Newmark Dr., Champaign, IL 61824, USA;1. Australasian Joint Research Centre for Building Information Modelling, School of Design and the Built Environment, Curtin University, Bentley 6102, Western Australia, Australia;2. School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China;3. Department of Housing and Interior Design, Kyung Hee University, Seoul, Republic of Korea;4. School of Mathematical Sciences, Chongqing Normal University, Chongqing 400047, China
Abstract:To reduce fossil fuel based energy consumption in buildings, different methods have been proposed. Interestingly, one of the most significant factors in building energy consumption has been reported in the area of improving building designs. However, building energy analysis (BEA) is typically conducted late in design, by energy analyst specialists. The ability to try out new ideas early in the design process in order to choose the best alternative is not ordinarily taken advantage of, due to the difficulty and expense of modeling the building and energy systems. Building information modeling (BIM) provides the user with an opportunity to explore different energy saving alternatives in the design process while avoiding the time-consuming process of re-entering all the building geometry, enclosure, and HVAC information necessary for a complete energy analysis.While significant time savings are being made by not having to create the building geometry within the simulation interface in BIM energy modeling simulation, there is a good possibility of missing, misplaced, or deformed building elements during a BIM data exchange process. This research focuses on one of the major limitations – inaccuracies through simplifications in construction/material data – and aims to improve the accuracy of energy modeling process by developing an object based approach in materials in which the energy modeler may change and expand various properties in building materials. In testing the performance of the proposed approach, the results from the proposed energy modeling process in the case study are compared to those of existing energy modeling software which showed significant gains in accuracy.
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