Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
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BIM-based Optimal Design of Windows using Genetic Algorithm and Pareto Optimality

BIM 기반 시뮬레이션 모델의 상호운용성과 유전자 알고리즘, 파레토 최적을 이용한 최적 창호 설계

  • 김영진 (선문대학교, 건축사회환경학부) ;
  • 오세민 (한국시설안전공단, 녹색건축본부) ;
  • 박철수 (성균관대학교 건축토목공학부)
  • Received : 2014.05.12
  • Accepted : 2014.08.12
  • Published : 2014.09.30
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Abstract

This paper addresses optimal design of windows (types of glazing and cavity gas) using BIM, Genetic algorithm and Pareto optimality. For architectural modeling and energy simulation, Revit Architecture and EnergyPlus were selected in this study. In the paper. presented is an automatic file converter, operating in MATLAB GUI (Graphical User Interface) platform, which transforms a gbXML file to an IDF file (EnergyPlus input file). In the paper, a case study is shown to find optimal windows for a sample library building (floor area: $7,235m^2$, 5 stories). The selected performance criteria are energy use and PMV (Predicted Mean Vote), leading to multi-criteria optimization problem. The GA (Genetic Algorithm) was chosen for this minimization problem, while Pareto optimality was used for the multi-criteria problem. It is shown in the paper that optimal Pareto set can be efficiently found and meaningful information is delivered to DM(Decision Maker) using integration of GA, Pareto optimality and BIM.

Keywords

Acknowledgement

Supported by : 국토교통부

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