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학술저널
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유영서 (서울대) 이동혁 (서울대) 박철수 (서울대)
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대한건축학회 대한건축학회논문집 大韓建築學會論文集 第37卷 第11號(通卷 第397號)
발행연도
2021.11
수록면
247 - 253 (7page)

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It has been widely acknowledged that rational decision making at architectural design stage is important for energy efficient building design. In other words, the relationship between building energy use and design variables must be carefully analyzed. For this purpose, the global sensitivity analysis (GSA) can be a useful tool because GSA quantifies the unit change of a model’s output against the unit change of the individual model input for the entire input space. With the use of GSA, the influence of each design variable can be quantified in terms of sensitivity index. However, such sensitivity index can be dependent on crude assumptions for building usage scenarios, e.g. occupant density, equipment density, infiltration rate, etc. In general, these parameters are set as deterministic values based on simulationist’s subjective judgment, and it can be inferred that this subjective assmptions could cause uncertainty in sensitivity analysis. With this in mind, the authors propose a sensitivity analysis process for building energy design variables considering the uncertainty of building use scenarios. For this purpose, Sobol sensitivity analysis was performed on five design variables (wall U-value, fenestration SHGC, lighting power density, window U-value, window-wall ratio) according to assumptions of five building usage scenarios (occupant density, equipment density, infiltration rate, cooling and heating set-point temperatures). As a result, it is found that uncertainty in the sensitivity of design variables is significant and the sensitivity ranking of the design variables can vary. This indicates that in order to reach rational decision making, careful attention must be paid to selection of uncertain building usage scenarios, and stochastic sensitivity analysis must be employed.

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Abstract
1. 서론
2. 민감도 분석
3. 시뮬레이션 모델
4. 결과 분석
5. 결론
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