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Optimal Design of Glazing System using Stochastic Emulator
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확률적 에뮬레이터를 이용한 외피 시스템 최적설계

논문 기본 정보

Type
Proceeding
Author
Kim, Young-Jin (성균관대) Ahn, Ki-Uhn (성균관대) Park, Cheol-Soo (성균관대)
Journal
Korea Institute of Architectural Sustainable Environment and Building Systems 한국건축친환경설비학회 학술발표대회 논문집 한국건축친환경설비학회 2012년 추계학술발표대회 논문집
Published
2012.10
Pages
248 - 251 (4page)

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Optimal Design of Glazing System using Stochastic Emulator
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Abstract· Keywords

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This paper addresses development of a simple and quick prediction model based on the Gaussian Stochastic Process (GASP) with a far less computation time than the dynamic whole-building simulation tools. The emulator model, which can be regarded as a surrogate model of the dynamic BPS tools, is developed using Gaussian process regression model and Bayesian approach. In this study, EnergyPlus was used to derive the emulator model. In the paper, the authors exemplify the use of the emulator for optimal design of glazing system for a given office building. In general, it requires a significant simulation run-time for stochastic optimization. In this paper, it was presented coupling of the Gaussian process regression model and an optimization routine out of MATLAB optimization toolbox. It was reported that the emulator reduces computation time significantly, produces almost identical results compared to the BPS tools.
#확률적 최적설계 #불확실성 분석 #가우시안 프로세스 #베이지안 접근 #빌딩 시뮬레이션 #stochastic optimal design #uncertainty analysis #gaussian process #Bayesian approach #Building Simulation

Contents

Abstract
1. 서론
2. 확률적 에뮬레이터
3. 시뮬레이션 모델
4. 확률적 에뮬레이터 모델 구축 및 검증
5. 확률적 최적설계
6. 결론
참고문헌

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