Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Stochastic Daylighting Model for Predictive Control in Large Open-space Building

확률적 자연채광 모델과 대공간 건물에서의 모델 예측 제어 적용

  • Jo, Hyeong-Gon ;
  • Kim, Young-Sub ;
  • Park, Cheol-Soo (Department of Architecture and Architectural Engineering.Institute of Engineering Research, Institute of Construction and Environmental Engineering, Seoul National University)
  • 조형곤 (서울대학교 건축학과) ;
  • 김영섭 (서울대학교 건축학과) ;
  • 박철수 (서울대학교 건축학과.건설환경종합연구소)
  • Received : 2021.09.28
  • Accepted : 2021.12.10
  • Published : 2021.12.30
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Abstract

Development of stochastic daylighting prediction model for a large open-space building was presented in this paper. The daylit prediction model uses solar altitude and azimuth, an illuminance value at a reference point and a cloud cover and predict daylit illuminances at sixteen workplane. The model can be regarded as 'virtual sensor' without installing actual photosensor. For capturing stochastic characteristics of daylit luminous indoor environment, Gaussian process was used. The daylit prediction model was then integrated to electric lighting control of the building. The optimal lighting control variables that can minimize electric lighting power consumption while satisfying required illuminance level expressed as a safety margin were found. Based on the eight days' validation, it is found that the proposed approach could save energy by 12.3%. It is expected that this stochastic control approach could be applied to other lighting control or indoor environmental control system.

Keywords

Acknowledgement

이 논문은 2021년도 정부(산업통상자원부)의 재원으로 한국에너지기술평가원의 지원을 받아 수행된 연구임 (20202020800030, 제로에너지건축물 구현을 위한 스마트 외장재·설비 융복합 기술개발 및 성능평가 체계 구축, 실증)

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