대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제39권3호
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  • Pages.171-177
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  • 2023
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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랜덤포레스트 기반 실내공간 내외주부의 하절기 평균복사온도 가상센싱 모델 개발

Development of Mean Radiant Temperature Virtual Sensor for Core and Perimeter Zones during the Summer using Random Forest

  • 성승호 (경북대 건설환경에너지공학부) ;
  • 윤우승 (경북대 건설환경에너지공학부) ;
  • 유원택 (경북대 건설환경에너지공학부) ;
  • 서현철 (경북대 건축학부) ;
  • 홍원화 (경북대 건설환경에너지공학부)
  • Sung, Seung-Ho (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University) ;
  • Yun, Woo-Seung (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University) ;
  • Ryu, Wontaek (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University) ;
  • Seo, Hyuncheol (School of Architecture, Kyungpook National University) ;
  • Hong, Won-Hwa (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University)
  • 투고 : 2022.10.02
  • 심사 : 2022.12.03
  • 발행 : 2023.03.30
⟨ 이전 논문 다음 논문 ⟩

초록

Mean radiant temperature (MRT) is one of many significant factors that influence an occupant's thermal comfort. There is a deviation in the MRT between the indoor core and perimeter zones depending on a building's thermal properties; this deviation must be mitigated to ensure thermal comfort. However, there are various practical limitations involved in directly measuring the MRT of these zones. Therefore, this study developed a model that virtually sensed the MRT of the core and perimeter zones using the random forest. To verify the model's performance, the experiment was conducted during the summer season when the MRT deviation between these zones are often the largest. As a result, the proposed model showed an MRT inference performance of 0.0568℃ in the core zone and 0.123℃ in the perimeter zone, based on the mean absolute error. This study demonstrated the potential of the MRT virtual sensor for evaluating the inference performance of the core and perimeter zones. The virtual sensor can be used in HVAC control systems to improve an occupant's thermal comfort.

키워드

과제정보

이 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2020R1C1C1007127). 이 연구는 2020년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구과제입니다. (No.20204010600060)

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