| 논문명 |
전역 민감도 분석을 이용한 건물 에너지 성능평가의 합리적 개선 / Rational Building Energy Assessment using Global Sensitivity Analysis |
| 수록사항 |
대한건축학회논문집 구조계, Vol.36 No.05 (2020-05) |
| 주제어 |
건물 에너지 성능평가; 민감도 분석; Sobol 방법; 성능중심; 지시적 접근 ; Building Energy Performance Assessment; Sensitivity Analysis; Sobol; Performance-based; Prescriptive Approach |
| 요약1 |
본 연구에서는 (1) 전역 민감도 (global sensitivity) 분석 중의 하나인 Sobol 방법(Sobol, 1993)을 이용하여, 에너지성능지표의 냉방 관련 설계변수의 중요도를 정량화하고 (기본배점 (a)의 재조정, (MOLIT, 2018)), (2) 이산화된 배점 (b)(MOLIT, 2018)를 연속적인 방식으로 도출하고자 한다. 본 연구의 대상 건물로 원심식 냉동기가 적용된 대형업무시설 건물을 선정하였고, 현행 에너지성능지표와 제안방법 간 평가결과 (평점)와 냉방에너지 사용량의 상관성을 비교 분석하였다. |
| 요약2 |
The building energy performance indicator, called Energy Performance Index (EPI), has been used for the past decades in South Korea. It has a list of design variables assigned with weighting factors (a, b). Unfortunately, the current EPI method is not performance-based but very close to a prescriptive rating. With this in mind, this study aims to propose a new performance-based EPI method. For this purpose, a global sensitivity analysis method, Sobol, is employed. The Sobol method is suitable for complex nonlinear models and can decompose all the output variance due to every input. The Sobol sensitivity index of each variable is defined as 0 to 1 (0 to 100%), and the sum of all sensitivity indices is equal to 1 (100%). In this study, an office building was modeled using EnergyPlus and then the Latin Hypercube Sampling (LHS) was conducted to generate a surrogate model to EnergyPlus. The sensitivity index was suggested to replace weight (a) in the existing EPI. In addition, the discrete weight (b) in the existing EPI was replaced by a set of continuous regression functions. Due to the introduction of the sensitivity index and the continuous regression functions, the new proposed approach can provide far more accurate outcome than the existing EPI (R2: 0.83 vs. R2: 0.01 for cooling, R2: 0.66 vs. R2: 0.01 for total energy). The new proposed approach proves to be more rational, objective and performance-based than the existing EPI method. |
