TY - JOUR
T1 - A simplified numerical study on the energy performance and thermal environment of a bedroom TAC system
AU - Mao, Ning
AU - Zhang, Bin
AU - Song, Mengjie
AU - Deng, Shiming
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - In subtropics, the higher energy consumption of air conditioning system in summer period brought about the application of task/ambient air conditioning (TAC) systems, not only in commercial buildings, but also in residential buildings. To better assess the performance of the TAC system, a numerical study was carried out to predict the energy and thermal performance of a bedroom TAC system in a bedroom in subtropical area. To conveniently predict the indoor thermal environment, response surface methodology (RSM) was applied to simplify the procedure of numerical simulation. Firstly, CFD study was carried out to evaluate the thermal and energy performance of the TAC system. Secondly, RSM method was used to establish the predictive models of important index of indoor thermal environment to form the simplified numerical method. Thirdly, these two methods were used and the predicted values were compared. It was found that the energy consumption was reduced from 260 to 160 W when the ts was increased from 19 to 23 °C, and the averaged draft risk (DRoz) reached at 20% when the Qs was set at 110 l/s. The significant vertical non-uniformity of air temperature, air velocity and relative humidity were also reported. Besides, the CFD method was compared with the simplified numerical method (RSM method). It was found that the maximum deviation between using the RSM and CFD methods was less than 5% in predicting energy consumption, draft risk, thermal parameters in the occupied zone, stratified air temperature and stratified air relative humidity. Overall, the simplified numerical method (CFD based RSM method) can predict the indoor thermal environment accurately.
AB - In subtropics, the higher energy consumption of air conditioning system in summer period brought about the application of task/ambient air conditioning (TAC) systems, not only in commercial buildings, but also in residential buildings. To better assess the performance of the TAC system, a numerical study was carried out to predict the energy and thermal performance of a bedroom TAC system in a bedroom in subtropical area. To conveniently predict the indoor thermal environment, response surface methodology (RSM) was applied to simplify the procedure of numerical simulation. Firstly, CFD study was carried out to evaluate the thermal and energy performance of the TAC system. Secondly, RSM method was used to establish the predictive models of important index of indoor thermal environment to form the simplified numerical method. Thirdly, these two methods were used and the predicted values were compared. It was found that the energy consumption was reduced from 260 to 160 W when the ts was increased from 19 to 23 °C, and the averaged draft risk (DRoz) reached at 20% when the Qs was set at 110 l/s. The significant vertical non-uniformity of air temperature, air velocity and relative humidity were also reported. Besides, the CFD method was compared with the simplified numerical method (RSM method). It was found that the maximum deviation between using the RSM and CFD methods was less than 5% in predicting energy consumption, draft risk, thermal parameters in the occupied zone, stratified air temperature and stratified air relative humidity. Overall, the simplified numerical method (CFD based RSM method) can predict the indoor thermal environment accurately.
KW - CFD
KW - Energy consumption
KW - Indoor thermal environment
KW - Response surface methodology (RSM)
KW - Stratified thermal parameter
KW - Task/ambient air conditioning (TAC) systems
UR - http://www.scopus.com/inward/record.url?scp=85042435267&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2018.02.018
DO - 10.1016/j.enbuild.2018.02.018
M3 - Article
AN - SCOPUS:85042435267
SN - 0378-7788
VL - 166
SP - 305
EP - 316
JO - Energy and Buildings
JF - Energy and Buildings
ER -