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学者姓名：陈仕晟
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Abstract ：
The combination of photovoltaic and greenery (PVG system) has received increasing attention in the city. However, the characteristic of thermal behavior for PVG system has not been fully revealed. Therefore, a field experiment was carried out to compare the local microclimate between PVG system and a lawn. And the results show that PV array cooled the below vegetation up to 2.5 degrees C in the daytime, but warmed the vegetation up to 0.7 degrees C at night. Energy balance analysis shows that, under the effect of PV shading, evapotranspiration consumed about 43.8 % of the total heat gain, and followed by longwave radiation (29.5 %) and heat convection (26.7 %). A numerical model considering the multiple thermal interactions between vegetation and PV modules was developed and validated by the measured data. Based on the parametric analysis, it's found that higher plant species is preferred for PVG system, which has a greater cooling effect than the lawn. And a scenario simulation shows that, among the four factors usually neglected in the existing heat transfer model of PVG system, longwave radiation leads to the most significant error. The conclusions drawn herein could provide reference for the design optimization and energy performance prediction of PVG system.
Keyword ：
Field experiment Field experiment Numerical simulation Numerical simulation Photovoltaic-greenery system Photovoltaic-greenery system Thermal behavior Thermal behavior Tropical area Tropical area
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| GB/T 7714 | He, Yang , Tan, Chun Liang , Liu, Jianlin et al. An experimental and modeling study of thermal behavior of photovoltaic-greenery system [J]. | SUSTAINABLE CITIES AND SOCIETY , 2025 , 126 . |
| MLA | He, Yang et al. "An experimental and modeling study of thermal behavior of photovoltaic-greenery system" . | SUSTAINABLE CITIES AND SOCIETY 126 (2025) . |
| APA | He, Yang , Tan, Chun Liang , Liu, Jianlin , Dai, Mengmeng , Cui, Haifeng , Chen, Shisheng et al. An experimental and modeling study of thermal behavior of photovoltaic-greenery system . | SUSTAINABLE CITIES AND SOCIETY , 2025 , 126 . |
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Abstract ：
Field measurements with 38 weather stations in Shanghai revealed a strong daytime UHI effect that T-max was 0.25 degrees C-5.66 degrees C higher than suburban areas during extreme summer afternoons. Through regression analysis, nonlinear effects of urban morphologies on pedestrian-level air temperature were observed. The TabPFN model outperformed the linear regression, random forest, AdaBoost, and XGBoost, with RMSE of 0.71 degrees C for T-avg and 1.01 degrees C for T-max, respectively. Compared with the linear regression, the TabPFN reduced prediction error of T-avg and T-max by 35 % and 33 %, respectively. Among the investigated urban morphologies, the sky view factor, ground albedo, and impervious ground surface fraction were the key parameters affecting afternoon temperature. The sky view factor was the most influential parameter, accounting for about 0.22 and 0.27 of the variances in T-avg and T-max, respectively. As SVF increased from 0.06 to 0.71, the average T-avg and T-max changed by 4-5 degrees C. The high temperature risk assessment indicated that a 50 % reduction in SVF led to a significant decrease in the probability of high temperature events, with the probability of T-max > 35 degrees C decreasing from 59.5 % to 34.1 %, the probability of T-max > 37 degrees C decreasing from 44.3 % to 9.7 %, and the probability of T-max > 40 degrees C decreasing from 17.3 % to 2.2 %. Radiative cooling material was effective in mitigating extreme heat events (T-max > 40 degrees C). When ground albedo increased by 20 %, the probability of T-max > 40 degrees C decreased significantly from 17.3 % to 6.5 %, while the probability of T-max > 35 degrees C increased from 59.5 % to 81.1 %. These findings highlight that lightweight shading (e.g., trees, retractable covers) effectively reduces solar radiation, while minimizing impervious surfaces (e.g., grass bricks) and using high-reflectivity ground materials can enhance microclimate conditions.
Keyword ：
Air temperature Air temperature Heat exposure Heat exposure Tabular prior-data fitted network Tabular prior-data fitted network Urban heat island Urban heat island Urban morphology Urban morphology
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| GB/T 7714 | Yu, Zhongqi , Yu, Ruqing , Ge, Xinyi et al. Tabular prior-data fitted network for urban air temperature inference and high temperature risk assessment [J]. | SUSTAINABLE CITIES AND SOCIETY , 2025 , 128 . |
| MLA | Yu, Zhongqi et al. "Tabular prior-data fitted network for urban air temperature inference and high temperature risk assessment" . | SUSTAINABLE CITIES AND SOCIETY 128 (2025) . |
| APA | Yu, Zhongqi , Yu, Ruqing , Ge, Xinyi , Fu, Jiayan , Hu, Yiteng , Chen, Shisheng . Tabular prior-data fitted network for urban air temperature inference and high temperature risk assessment . | SUSTAINABLE CITIES AND SOCIETY , 2025 , 128 . |
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Abstract ：
The rapid growth of urban populations has rendered the low-carbon retrofitting of existing high-density residential areas increasingly critical. The implementation of building-applied photovoltaic (PV) retrofitting in China's high-density residential areas encounters major obstacles due to property rights restrictions of residential buildings, thus impeding the energy-productive transformation in urban high-density residential areas. This research focuses on PV applications in non-building areas of high-density residential areas in three critical aspects, including design, potential, and urban morphological impact parameters, aiming to maximize the energy generation capacity of existing high-density residential areas. Through the evaluation of 48 case studies from three Chinese megacities, including Beijing, Shenzhen, and Chengdu, this research identifies the essential elements and design recommendations for PV applications in non-building areas of existing high-density residential areas. By comparing the available PV areas ratio (CPV) and their contribution rate (A), the results indicate that Shenzhen exhibits higher potential for non-building areas PV application compared to Beijing and Chengdu. Furthermore, the study determines that the primary parameters influencing the potential of PV applications in non-building areas based on nonlinear inferences across these three cities are maximum building height (Hmax), average distance between buildings (D), greenery ratio (GR), and the perimeter-to-area ratio of non-building areas (NBPAR). However, due to significant differences in spatial morphology distribution among different cities, the sensitivity of these influences varies accordingly.
Keyword ：
High-density residential areas High-density residential areas Non-building areas Non-building areas Photovoltaic application Photovoltaic application Potential assessment Potential assessment Urban morphological parameters Urban morphological parameters
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| GB/T 7714 | Zhang, Wen , Chen, Yuhan , Chen, Shisheng et al. Assessing the photovoltaic application potential of non-building areas in existing high-density residential areas [J]. | BUILDING AND ENVIRONMENT , 2025 , 283 . |
| MLA | Zhang, Wen et al. "Assessing the photovoltaic application potential of non-building areas in existing high-density residential areas" . | BUILDING AND ENVIRONMENT 283 (2025) . |
| APA | Zhang, Wen , Chen, Yuhan , Chen, Shisheng , Wang, Pan , Zhang, Pengfei . Assessing the photovoltaic application potential of non-building areas in existing high-density residential areas . | BUILDING AND ENVIRONMENT , 2025 , 283 . |
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