Dynamic control of room air temperature for stratum ventilation based on heat removal efficiency: Method and experimental validations

被引:50
作者
Zhang, Sheng [1 ]
Cheng, Yong [2 ,3 ]
Fang, Zhaosong [4 ]
Lin, Zhang [5 ]
机构
[1] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R China
[2] Chongqing Univ, Minist Sci & Technol, Natl Ctr Int Res Low Carbon & Green Bldg, Chongqing, Peoples R China
[3] Chongqing Univ, Joint Int Res Lab Green Bldg & Built Environm, Chongqing, Peoples R China
[4] Guangzhou Univ, Sch Civil Engn, Guangzhou, Guangdong, Peoples R China
[5] City Univ Hong Kong, Div Bldg Sci & Technol, Hong Kong, Hong Kong, Peoples R China
关键词
Room air temperature; Dynamic control; Heat removal efficiency; Building management system; Stratum ventilation; ZERO-ENERGY BUILDINGS; THERMAL COMFORT; FLOW CHARACTERISTICS; MIXING VENTILATION; INVERSE DESIGN; SYSTEM-DESIGN; NODAL MODEL; PERFORMANCE; OPTIMIZATION; ENVIRONMENT;
D O I
10.1016/j.buildenv.2018.05.029
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Stratum ventilation can energy-efficiently provide quality indoor air and thermal comfort. The room air temperature in the occupied zone is a dominant parameter for thermal comfort. The non-uniform thermal environment of stratum ventilation challenges the dynamic control of the room air temperature. This study proposes a dynamic control method of the room air temperature for stratum ventilation based on heat removal efficiency. The proposed method requires inputs of only supply air temperature, supply airflow rate and exit air temperature, and can be readily employed by the building management system in practice. Dynamic experiments, with a wide variation range (i.e., from 24.5 degrees C to 30 degrees C), different variation rates (i.e., from 0 degrees C/min to 0.088 degrees C/min) and different variation trends (i.e., increase, decrease and steady) of the room air temperature, are conducted to validate the proposed method. The time interval of the dynamic experiments is 1 min. Furthermore, the effects of the cooling load and room occupancy are also analyzed to demonstrate the robustness of the proposed method. The differences between the predicted room air temperatures by the proposed method and measurements are no more than 0.33 degrees C, and the root mean square errors are no more than 0.18 degrees C. Compared with the conventional method, which assumes that the room air temperature equals to the exit air temperature at the air terminals, the proposed method improves the accuracy in the room air temperature prediction by 79.3%-93.3%. The proposed method can be applied to dynamically control the room air temperature to meet the requirement of thermal comfort.
引用
收藏
页码:107 / 118
页数:12
相关论文
共 75 条
[1]   Ventilation of air-conditioned residential buildings: A case study in Hong Kong [J].
Ai, Z. T. ;
Mak, C. M. ;
Cui, D. J. ;
Xue, P. .
ENERGY AND BUILDINGS, 2016, 127 :116-127
[2]   The role of measurement accuracy on the thermal environment assessment by means of PMV index [J].
Alfano, Francesca Romana d'Ambrosio ;
Palella, Boris Igor ;
Riccio, Giuseppe .
BUILDING AND ENVIRONMENT, 2011, 46 (07) :1361-1369
[3]  
[Anonymous], 2020, 55 ASHRAE
[4]  
[Anonymous], 1996, BUILDING VENTILATION
[5]   Partial- and whole-body thermal sensation and comfort - Part II: Non-uniform environmental conditions [J].
Arens, E ;
Zhang, H ;
Huizenga, C .
JOURNAL OF THERMAL BIOLOGY, 2006, 31 (1-2) :60-66
[6]   Improving energy performance of school buildings while ensuring indoor air quality ventilation [J].
Becker, Rachel ;
Goldberger, Itamar ;
Paciuk, Monica .
BUILDING AND ENVIRONMENT, 2007, 42 (09) :3261-3276
[7]   A review of the performance of different ventilation and airflow distribution systems in buildings [J].
Cao, Guangyu ;
Awbi, Hazim ;
Yao, Runming ;
Fan, Yunqing ;
Siren, Kai ;
Kosonen, Risto ;
Zhang, Jianshun .
BUILDING AND ENVIRONMENT, 2014, 73 :171-186
[8]   Fast prediction of indoor pollutant dispersion based on reduced-order ventilation models [J].
Cao, Shi-Jie ;
Meyers, Johan .
BUILDING SIMULATION, 2015, 8 (04) :415-420
[9]   A new multiplexed optimization with enhanced performance for complex air conditioning systems [J].
Chen, Jiayu ;
Sun, Yongjun .
ENERGY AND BUILDINGS, 2017, 156 :85-95
[10]  
Chen Q., ENERGY BUILD, V12