| 논문명 |
BIM 기반 시뮬레이션 모델의 상호운용성과 유전자 알고리즘, 파레토 최적을 이용한 최적 창호 설계 / BIM-based Optimal Design of Windows using Genetic Algorithm and Pareto Optimality |
| 수록사항 |
대한건축학회논문집 계획계, v.30 n.9 (2014-09) |
| 주제어 |
건물 정보 모델링 ; 상호운용성 ; 유전자 알고리즘 ; 파레토 최적 ; 최적설계 ; Building Information Modeling ; Interoperability ; Genetic Algorithm ; Pareto Optimality ; Optimal Design |
| 요약2 |
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: 7,235, 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. |
