Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Green Remodeling Decision-Making Considering Dynamic Interactions of Passive and Active Retrofit Variables

패시브 및 액티브 요소 기술의 동적 교호 작용을 고려한 그린 리모델링 의사 결정

  • Heo, Seon-Young (Dept. of Architecture & Architectural Engineering, Seoul National University) ;
  • Ra, Seon-Jung (Dept. of Architecture & Architectural Engineering, Seoul National University) ;
  • Kin, Young-Sub (Dept. of Architecture & Architectural Engineering, Seoul National University) ;
  • Chu, Han-Gyeong (Dept. of Architecture & Architectural Engineering, Seoul National University) ;
  • Park, Cheol-Soo (Dept. of Architecture and Architectural Engineering.Institute of Engineering Research.Institute of Construction and Environmental Engineering, Seoul National University)
  • 허선영 (서울대 건축학과 ) ;
  • 라선중 (서울대 건축학과 ) ;
  • 김영섭 (서울대 건축학과 ) ;
  • 추한경 (서울대 건축학과 ) ;
  • 박철수 (서울대 건축학과.공학연구원.건설환경종합연구소)
  • Received : 2023.05.10
  • Accepted : 2023.08.04
  • Published : 2023.08.30
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Abstract

With the urgency of global warming, the building sector is trying to curtail building energy for sustainable development. The current building codes relies on a prescriptive approach that specifies thermal properties of building components such as wall U-value, window U-value, fenestration SHGC, heat pump COP, lighting density. However, this prescriptive falls short because it does not consider the holistic energy performance of a building as well as sometimes results in biased or wrong decision making. To overcome this, we selected a target building (US DOE small office building), conducted global sensitivity analysis and analyzed interwoven interactions between retrofit variables and building energy use through the SHAP method, one of the explainable AIs. Conclusively, it was found that if the interwoven interactions were not properly taken into account, the prescriptive approach could lead to a wrong decision making. In addition, it emphasized that the performance based thinking must be employed in building energy decision making.

Keywords

Acknowledgement

본 연구는 산업통상자원부(MOTIE)와 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제입니다. (No. 20202020800360)

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