Fuzzy comprehensive evaluation of human thermal comfort in simulating natural wind environment

被引:27
作者
Cao, Shuang-hua [1 ]
Ming, Pan-pan [1 ]
Zhao, Xiao [1 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Environm & Architecture, Box 484,516 Jun Gong Rd, Shanghai 20093, Peoples R China
关键词
Energy saving; Simulating natural wind; Fuzzy comprehensive evaluation; Thermal comfort model; Mean thermal sensation vote; Dissatisfaction rate; ENERGY; TURBULENCE; BUILDINGS; FIELD; MODEL;
D O I
10.1016/j.buildenv.2020.107447
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The steady-state thermal environment creates obvious challenges to health and energy, which arouse people's concern on the dynamic thermal environment. As an important way to improve thermal comfort and reduce energy consumption, airflow has been widely concerned. Being a highly acceptable airflow, simulating natural wind can be adopted to set up a dynamic thermal environment. Influencing factors of the dynamic thermal environment are much more spread out than the steady-state thermal environment and the human thermal comfort problem gets start from the relatively simple steady-state thermal comfort, those two determiners work and led to the consequence that research on the human comfort model of the dynamic thermal environment is relatively limited. Based on the fuzzy comprehensive evaluation method, this paper establishes the human thermal comfort model of simulating natural wind environment. Combined with the human thermal comfort experiment, the evaluation indexes of Mean Thermal Sensation Vote (MTSV) and Dissatisfaction Rate (DR) are obtained. By comparing the PMV-PPD index and MTSV-DR index with the experimental results of human thermal comfort, it was found that there was a large deviation between the PMV-PPD index and the experimental results, but the MTSV-DR index was in good agreement. According to the range of dissatisfaction rate, the appropriate combination of environmental parameters is recommended. It provides a new way of thinking for human thermal comfort evaluation in dynamic thermal environment.
引用
收藏
页数:7
相关论文
共 28 条
[1]  
Akiyama H., 1985, Transactions of the Institute of Electronics and Communication Engineers of Japan, Part C, VJ68C, P773
[2]  
[Anonymous], 2012, DESIGN CODE HEATING
[3]   Thermal comfort in residential buildings - Failure to predict by Standard model [J].
Becker, R. ;
Paciuk, M. .
BUILDING AND ENVIRONMENT, 2009, 44 (05) :948-960
[4]  
BELLMAN RE, 1970, MANAGE SCI B-APPL, V17, pB141
[5]   A tool to design fuzzy decision trees for sustainability assessment [J].
Bockstaller, Christian ;
Beauchet, Sandra ;
Manneville, Vincent ;
Amiaud, Bernard ;
Botreau, Raphaelle .
ENVIRONMENTAL MODELLING & SOFTWARE, 2017, 97 :130-144
[6]  
Busch J.F., 1992, TALW 2 POPULATIONS T, p[235, 3]
[7]   Review of adaptive thermal comfort models in built environmental regulatory documents [J].
Carlucci, S. ;
Bai, L. ;
de Dear, R. ;
Yang, L. .
BUILDING AND ENVIRONMENT, 2018, 137 :73-89
[8]  
Fanger P.O., 1970, Thermal Comfort Sensor for HA
[9]  
Fanger PO, 2002, ENERG BUILDINGS, V34, P533
[10]   AIR TURBULENCE AND SENSATION OF DRAFT [J].
FANGER, PO ;
MELIKOV, AK ;
HANZAWA, H ;
RING, J .
ENERGY AND BUILDINGS, 1988, 12 (01) :21-39