Yeonsook Heo
고려대학교 건설환경공학부 · 공학
Yeonsook Heo 교수의 연구실은 건물 에너지 모델링과 시뮬레이션의 정확성 및 신뢰성을 향상시키는 데 초점을 맞추고 있습니다. 특히 베이지안 캘리브레이션 기법을 활용해 에너지 예측의 불확실성을 정량화하고, 에너지 절약 계약 및 리모델링 의사결정 지원에 활용 가능한 위험 분석 프레임워크를 개발하고 있습니다. 또한, 건물의 실내 환경과 에너지 소비 간의 상관관계를 분석하고, 공간 설계가 간호사의 이동 패턴 등 운영 효율성에 미치는 영향을 연구함으로써 건축 설계와 에너지 성능의 융합적 접근을 선도하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
This paper examines how calibration performs under different levels of uncertainty in model input data. It specifically assesses the efficacy of Bayesian calibration to enhance the reliability of EnergyPlus model predictions. A Bayesian approach can be used to update uncertain values of parameters, given measured energy-use data, and to quantify the associated uncertainty. We assess the efficacy of Bayesian calibration under a controlled virtual-reality setup, which enables rigorous validation o
Retrofitting of existing buildings is essential to reach reduction targets in energy consumption and greenhouse gas emission. In the current practice of a retrofit decision process, professionals perform energy audits, and construct dynamic simulation models to benchmark the performance of existing buildings and predict the effect of retrofit interventions. In order to enhance the reliability of simulation models, they typically calibrate simulation models based on monitored energy use data. The
AbstractThis article presents a risk analysis method based on Bayesian calibration of building energy models. The Bayesian approach enables probabilistic outputs from the energy model, which are used to quantify risks associated with investing in energy conservation measures in existing buildings. This article demonstrates the applicability of the proposed methodology to support energy saving contracts in the context of the energy service company industry. A case study illustrates the importance
This paper presents a risk analysis method based on Bayesian calibration of building energy models. The Bayesian approach enables probabilistic outputs from the energy model, which are used to quantify risks associated with investing in energy conservation measures in existing buildings. This paper demonstrates the applicability of the proposed methodology to support energy saving contracts in the context of the ESCO industry. A case study illustrates the importance of quantifying relative risks
hospital unit; nurses ' movement; statistical analysis; space planning Optimization of nurses ’ movement is an important means for improving organizational productivity in healthcare units. Studies on movement and behavior of nurses have often found that the spatial layout of nursing unit floors has a significant effect on nurses ’ mobility. However, efforts to correlate types of hospital layouts with nurses ’ movement have not met with consistent success. We show that the effect of spa
