BO WANG

Mr. BO WANG

Harbin Institute of Technology
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 November 2019 in Sustainability
Verified
Journal Article
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HJHong Jin
Hong Jin
BO WANGBO WANG
BO WANG
BHBINGBING HAN
BINGBING HAN
Overwhelming evidence shows that the harsh climate conditions are affecting urban residents who are living in severe cold areas of China in winter, particularly affecting the frequency and length of outdoor space usage of the elderly. This study aims (1) to establish the modified model which is suitable for the harsh climate region, (2) to verify whether the physiological equivalent temperature (PET) index can be evaluated for the outdoor thermal comfort of older adults in severe cold areas of China in winter, (3) to draw the thermal comfort map that is based on the former conclusions. In this study, the outdoor environments in typical residential areas for the elderly of Changchun, China, has been investigated by using field measurement, questionnaire survey, and Computational Fluid Dynamics (CFD) simulation. The results show that the wind direction is the important aspects of model modification and quite possibly one of the most neglected. In addition, it is convenient to evaluate outdoor thermal comfort of the elderly on the basis of the PET index and the neutral PET temperature of elderly people who live in severe cold areas of China in winter is −0.5 degrees Celsius. According to the thermal comfort map, the park green land of urban residential is the best area for the elderly.

27 September 2023 in Buildings
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Journal Article
Open access
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BO WANGBO WANG
BO WANG
HZHongyu Zhao
Hongyu Zhao
BHBINGBING HAN
BINGBING HAN
XJXue Jiang
Xue Jiang
The harsh climate and the aging of urban populations have negatively impacted the quality of life of the elderly in severely cold regions. As a result, there is an urgent need to improve environment quality and accurately evaluate outdoor thermal comfort. However, existing studies have paid little attention to older adults living in severely cold climates. This paper aims to fill this gap by studying the elderly population in severely cold cities with high aging rates in China. By combining on-site testing, questionnaire surveys, CFD modeling, parametric computing, and statistical analysis, the study presents an adapted UTCI for elderly people, as well as multi-seasonal prediction models. The results (1) show that the neutral ranges of the UTCI are significantly affected by both climate zones and age groups. Older people are more tolerant to heat but more sensitive to cold. (2) The results also reveal the importance of factors such as air temperature, wind speed, solar radiation temperature, wind direction, relative humidity, and cloud cover in evaluating outdoor thermal comfort. (3) Multi-seasonal thermal comfort models based on neural networks were developed, and empirical studies verified that the model had the highest accuracy in the transitional season and the lowest accuracy in the winter season.


8 March 2025 in Case Studies in Thermal Engineering
Verified
Journal Article
Open access
BO WANGBO WANG
BO WANG
WZWenlong Zhang
Wenlong Zhang
LJLuoqi Jia
Luoqi Jia
BHBingbing Han
Bingbing Han
HZHongyu Zhao
Hongyu Zhao

20 November 2025 in Journal of Thermal Biology
Verified
Journal Article
Closed access
BO WANGBO WANG
BO WANG
WZWenlong Zhang
Wenlong Zhang
YGYutong Guo
Yutong Guo
GAGuoqiang Ai
Guoqiang Ai
HZHongyu Zhao
Hongyu Zhao
BHBingbing Han
Bingbing Han