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. 2022 Feb 23;214:108932. doi: 10.1016/j.buildenv.2022.108932

Table 6.

Comparison of the TSV model with previous studies conducted in offices.

Author Place Neutral
T/SET* (°C)
Linear regression equation Acceptable temperature zone (°C) Building type
This study Guangzhou 26.5 MTSV = 0.3975 Top 10.499 23.7–28.9 Library (Without masks)
26.2 MTSV = 0.3596 Top 9.5088 23.3–28.4 Library (With masks)
25.3 MTSV = 0.188 SET* − 4.7501 22.8–29.0 Library (Without masks)
25.0 MTSV = 0.2014 SET* 5.0402 22.3–28.8 Library (With masks)
Fu et al. [56] Guangzhou 26.2 MTSV = 0.301 Top 7.902 22.9–29.6 Prefab site office
Wu et al. [60] Guangzhou 26.8 TSV = 0.2796 T − 7.5009 / Office
Yang and Zhang [71] Changsha 27.7 TSV = 0.32 Top 9.12 25.1–30.3 Residential/Office
Luo et al. [55] Shenzhen 25.0 TSV = 0.203 Top 5.077 20.2–29.4 Office
Indraganti et al. [72] Tokyo 27.1 TSV = 0.299 T − 8.109 / Office
Indraganti et al. [44] Hyderabad 26.1 TS = 0.194 Tg 5.103 / Office
Chennai 27.0 TS = 0.110 Tg 3.029 / Office
Zheng et al. [61] Guangzhou 25.6 MTSV = 0.2381 SET* − 6.1052 21.1–31.9 Office
Ji et al. [58] Guangzhou 26.18 TSV = 0.2345 SET* − 6.1403 / Office
Dhaka and Mathur [25] Jaipur 26.36 TSV = 0.183 SET* − 4.824 / Office
Tewari et al. [60] Jaipur 24.62 TSV = 0.26 SET* − 6.4 / Office