Korea University · 工学
Professor Kwang Ho Lee's research lab specializes in building energy efficiency and indoor environmental quality, with a focus on optimizing heating, ventilation, and air-conditioning (HVAC) systems through advanced energy modeling, model predictive control (MPC), and adaptive thermal comfort strategies. The lab investigates dynamic control strategies—such as variable air volume (VAV) setpoint resetting and real-time metabolic rate adaptation—to reduce energy consumption and life cycle costs while improving occupant comfort. Research also emphasizes the integration of physiological and behavioral factors (e.g., clothing insulation, metabolic rate) into building simulation to enhance accuracy and reliability.
Figures are computed from collected data and may differ slightly.
Buildings use up to 40% of the global primary energy and 30% of global greenhouse gas emissions, which may significantly impact climate change. Heating, ventilation, and air-conditioning (HVAC) systems are among the most significant contributors to global primary energy consumption and carbon gas emissions. Furthermore, HVAC energy demand is expected to rise in the future. Therefore, advancements in HVAC systems’ performance and design would be critical for mitigating worldwide energy and enviro
Thrombolysis can be safely performed within 3 or 7 hours of stroke onset according to the extent of severe perfusion deficit on TPCT. A larger extent of moderate perfusion deficit on TPCT may predict early improvement after thrombolysis.
To date, most of the indoor environment control is based on the dry-bulb air temperature, which is one of the simplified control methods having the limitation to truly represent the thermal comfort of individual occupants. A variety of factors affect the thermal comfort such as dry-bulb air temperature, humidity, air movement, radiation, clothing insulation, and metabolic activity level. In this circumstance, this study investigated the effects of considering hourly metabolic rate variations for
In building energy simulation, indoor thermal comfort condition, energy use and equipment size are typically calculated based on the assumption that the clothing insulation is equal to a constant value of 0.5 clo during the cooling season and 1.0 clo during the heating season. The assumption is not reflected in practice and thus it may lead to errors. In reality, occupants frequently adjust their clothing depending on the thermal conditions, as opposed to the assumption of constant clothing valu
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