지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.12
- 수록면
- 551 - 559 (9page)
- DOI
- 10.21086/ksles.2023.12.30.6.551
이용수
초록· 키워드
오류제보하기
Thermal properties of building envelope for existing buildings may not be identical to the design specification and installed condition due to workmanship, onsite construction errors, and age of building. Therefore, it is very essential to accurately estimate the properties for improving energy performance and planning building retrofitting and renovation. This study suggests a novel approach to estimate key thermal parameters based on a numerical optimization algorithm, downhill simplex method, incorporated with indoor air temperature variance and change of thermal parameters. Insulation thickness, infiltration, U-factor, and solar heat gain coefficient of window are the estimated variables for a typical medium-sized office in US reference building models. The numerical model searches the variables to minimize the difference of the indoor temperature variance between the original parameter model and the estimated parameter model in minutes for three days of no air conditioning and occupants. The results show that individual parameter estimation for four variables has converged less than 20 iterations with 99.0% accuracy. Although the iteration extended to 201 when four variables are simultaneously unknown conditions, estimated values are very close to the original values under 0.01% of root mean square errors.
목차
Abstract
1. 서론
2. 연구 방법
3. 연구결과
4. 결론
REFERENCES
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