| 논문명 |
건물 열쾌적 조성을 위한 다수 재실자의 PMV 산출 방법 / PMV Estimation Methods for Thermal Control in Multi-Occupant Buildings |
| 저자명 |
최은지(Eun Ji Choi) ; 윤지영(Ji Young Yun) ; 현지연(Ji Yeon Hyun) ; 문진우(Jin Woo Moon) |
| 수록사항 |
KIEAE Journal, Vol.25 No.2(통권 132호) (2025-04) |
| 주제어 |
온열환경; 열쾌적; 예상평균온열감; 다수 재실자 ; Thermal Environment; Thermal Comfort; Predicted Mean Vote; Multi-Occupant |
| 요약2 |
Purpose: To create a comfortable indoor thermal environment, actual occupants’ thermal comfort should be used as a control parameter. However, determining a representative thermal comfort value in spaces with multiple occupants has been challenging because each individual’s thermal comfort may vary. Therefore, this research aims to propose methods for estimating a representative thermal comfort value to achieve more effective thermal control in multi-occupant environments. To evaluate the proposed methods, the effectiveness of the proposed group PMV methods in building thermal control is analyzed. Method: The statistical inference methods were proposed including median value (PMVMEDIAN), exponentially weighted average (PMVEWA), and mean absolute deviation (PMVMAD), to estimate representative group PMV values. For evaluation, various occupant scenarios with diverse personal variables were simulated using EnergyPlus in conjunction with Python-based co-simulation, considering both heating and cooling seasons. Result: Simulation results showed that the PMVMEDIAN method provided stable group PMV values due to its low sensitivity to indoor environmental variations during control. Conversely, the PMVMAD method exhibited high sensitivity, resulting in significant fluctuations in response to changes in setpoint temperature. The PMVEWA method effectively reflected individual occupants’ thermal comfort characteristics, achieving the highest percentage of occupants within the range of ?1 < PMV < +1. Consequently, the PMVEWA approach showed better performance in reflecting the various thermal comfort of multi-occupant.The findings provide foundational knowledge for developing intelligent HVAC control systems that accurately reflect individual thermal comfort variations in multi-occupant building environments. |
