지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2025.4
- 수록면
- 73 - 80 (8page)
- DOI
- 10.12813/kieae.2025.25.2.073
이용수
초록· 키워드
오류제보하기
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 (PMV<sub>MEDIAN</sub>), exponentially weighted average (PMV<sub>EWA</sub>), and mean absolute deviation (PMV <sub>MAD</sub>), 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 PMV <sub>MEDIAN </sub>method provided stable group PMV values due to its low sensitivity to indoor environmental variations during control. Conversely, the PMV <sub>MAD</sub> method exhibited high sensitivity, resulting in significant fluctuations in response to changes in setpoint temperature. The PMV<sub>EWA </sub>method effectively reflected individual occupants’ thermal comfort characteristics, achieving the highest percentage of occupants within the range of –1 < PMV < +1. Consequently, the PMV<sub>EWA</sub> 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.
목차
ABSTRACT
1. 서론
2. 그룹 PMV 산출 및 평가 방법
3. 그룹 PMV 산출 값 비교 분석
4. 결론
References
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