The Derivation of Cooling Set-Point Temperature in an HVAC System, Considering Mean Radiant Temperature

구분: 게재

국내/국외, SCI(E)/일반 학술지 구분:? 국제학술지(SCIE)

학술회의/학술지명: SUSTAINABILITY

논문제목:The Derivation of Cooling Set-Point Temperature in an HVAC System, Considering Mean Radiant Temperature

게제일 : 2019.09.30

주저자명 : 한진목

게재링크 : https://doi.org/10.3390/su11195417

논문파일 다운로드:

sustainability-11-05417

 

Abstract

Heating, ventilation, and air-conditioning (HVAC) systems usually have a set-point temperature control feature that uses the indoor dry-bulb temperature to control the indoor environment. However, an incorrect set-point temperature can reduce thermal comfort and result in unnecessary energy consumption. This study focuses on a derivation method for the optimal cooling set-point temperature of an HVAC system used in oce buildings, considering the thermal characteristics and daily changes in the weather conditions, to establish a comfortable indoor environment and minimize unnecessary energy consumption. The operative temperature is used in the HVAC system control, and the mean radiant temperature is predicted with 94% accuracy through a multiple regression analysis by applying the indoor thermal environment data and weather information. The regression equation was utilized to create an additional equation to calculate the optimal set-point temperature. The simulation results indicate that the HVAC system control with the new set-point temperatures calculated from the derived equation improves thermal comfort by 38.5% (26%p). This study confirmed that a cooling set-point temperature that considers both the thermal characteristics of a building and weather conditions is eective in enhancing the indoor thermal comfort during summer.