From Building Information Modeling to Building Energy Modeling: Optimization Study for Efficient Transformation

Author:

An Na12,Li Xin12,Yang Huaqiu123,Pang Xiufeng2,Gao Guoheng12,Ding Ding4ORCID

Affiliation:

1. Greater Bay Area Research Institute National Engineering Research Center of Building Technology, Shenzhen 518000, China

2. China Academy of Building Research, Beijing 100013, China

3. School of Architecture, Tsinghua University, Shuangqing Road, Beijing 100084, China

4. School of Architecture and Civil Engineering, Xihua University, Chengdu 610039, China

Abstract

The conversion from building information modeling (BIM) to building energy modeling (BEM) based on the industry foundation classes (IFC) data standard is a crucial step for efficient building energy design and energy performance analysis. The scope encompasses analyzing limitations in existing BIM-to-BEM workflows and proposing an optimized strategy that addresses data loss and modeling inconsistencies. The research question revolves around enhancing conversion efficiency and precision, with the hypothesis validated through literature review, development of a conversion tool, and case study verification. The data collection and evaluation methods involve streamlining the conversion process by incorporating BIM model optimization, automatic repair of damaged geometric information, and automatic thermal zone division. The main findings reveal that the optimized strategy and tool significantly reduce information duplication, improve the precision of energy simulations, and validate the hypothesis, thereby contributing to more efficient and accurate building energy design and analysis.

Funder

China Academy of Building Research

Publisher

MDPI AG

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