A Suggestion of the Alternatives Evaluation Method through IFC-Based Building Energy Performance Analysis

Jungsik Choi and Sejin Lee ()
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Jungsik Choi: Department of Architecture, Kangwon National University, Samcheok-si 25913, Republic of Korea
Sejin Lee: Department of Architecture, Kyung Hee University, Yongin-si 17104, Republic of Korea

Sustainability, 2023, vol. 15, issue 3, 1-14

Abstract: In a rapidly changing modern society, the construction industry is facing various issues, including the Fourth Industrial Revolution and climate change. Research on convergence between technologies such as artificial intelligence, AR/VR, IoT, and metaverse, and sustainable technologies such as green buildings and eco-friendly energy is being attempted in each field. The most important thing in the development of these technologies will be the interoperability of data. BIM is a technology that can effectively store data regardless of the size of a building or the amount of information and can be shared and stored without loss of data through an open format called IFC (industry foundation classes). This study aims to present a plan to generate alternatives and evaluate energy performance by analyzing the shape of the envelope for amorphous buildings through IFC. Design elements were derived through analysis of previous studies, and alternatives were automated by developing interfaces that can generate shapes according to the derived design elements. The generated alternatives can be compared and analyzed through the analysis of building energy by developing an evaluation system based on IFC. Based on the quantitative results in the initial design stage, the reliability of the design proposal considering the performance of the building is improved, and the process and cost can be predicted in advance; thus, it is expected to be an efficient decision support tool.

Keywords: industry foundation classes (IFC); building information modeling (BIM); parametric modeling; energy performance evaluation; alternatives evaluation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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