Influence of asynchronous demand behavior on overcooling in multiple zone AC systems

被引:14
作者
Zhou, Xin [1 ]
Yan, Da [2 ]
Jiang, Yi [2 ]
Shi, Xing [1 ]
机构
[1] Southeast Univ, Sch Architecture, Nanjing 210096, Jiangsu, Peoples R China
[2] Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China
关键词
Asynchronous demand behavior; Overcooling; Gini index; Multiple zone AC systems; AIR-CONDITIONING SYSTEM; THERMAL COMFORT; OFFICE ENVIRONMENT; ENERGY-CONSUMPTION; HVAC SYSTEMS; SIMULATION; BUILDINGS; THERMOSTATS; WORKERS; DESIGN;
D O I
10.1016/j.buildenv.2016.10.001
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The cooling demands of different zones in an air conditioning (AC) system are different (with large discrepancies) even at the same moment, and the degree of variance changes with time. This asynchronous behavior of demand greatly influences the overcooling degree in multiple zone AC systems. This paper describes the asynchronous demand quantitatively and reveals its relationship with the overcooling degree in a multiple zone AC system. The Lorenz curve and Gini index are introduced in this study and used to describe the demand characteristics. Two typical multiple zone AC systems, namely, constant air volume (CAV) and variable air volume (VAV) systems, are considered as examples, and their overcooling degree under different demand profiles are analyzed. Under different asynchronous demands, the overcooling degree in the CAV system changes from 1 to 3.5, while that in the VAV system changes from 1 to 1.5. In this paper, the influence of the regulation ability of the AC system on energy consumption is also discussed. This paper presents a new perspective to study the demand pattern and explores the method to reduce the overcooling phenomenon in multiple zone AC systems. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:65 / 75
页数:11
相关论文
共 52 条
[11]   Human health and thermal comfort of office workers in Singapore [J].
Chen, Ailu ;
Chang, Victor W. -C. .
BUILDING AND ENVIRONMENT, 2012, 58 :172-178
[12]  
Corrado G., 1936, MEASURE CONCENTRATIO, V208, P73
[13]  
Damgaard C, 2000, ECOLOGY, V81, P1139, DOI 10.1890/0012-9658(2000)081[1139:DIIPSO]2.0.CO
[14]  
2
[15]  
Dounis A.I., 2009, ARTICLE RENEWABLE SU, V13, P1246
[16]  
Gini C., 1921, The Economic Journal of Nepal, V31, P124, DOI [10.2307/2223319, DOI 10.2307/2223319]
[17]   On the behavioral effects of residential electricity submetering in a heating season [J].
Gunay, H. Burak ;
O'Brien, William ;
Beausoleil-Morrison, Ian ;
Perna, Andrea .
BUILDING AND ENVIRONMENT, 2014, 81 :396-403
[18]   On the behaviour and adaptation of office occupants [J].
Haldi, Frederic ;
Robinson, Darren .
BUILDING AND ENVIRONMENT, 2008, 43 (12) :2163-2177
[19]   Extending air temperature setpoints: Simulated energy savings and design considerations for new and retrofit buildings [J].
Hoyt, Tyler ;
Arens, Edward ;
Zhang, Hui .
BUILDING AND ENVIRONMENT, 2015, 88 :89-96
[20]   Model predictive control strategies for buildings with mixed-mode cooling [J].
Hu, Jianjun ;
Karava, Panagiota .
BUILDING AND ENVIRONMENT, 2014, 71 :233-244