首页|Numerical modeling of all-day albedo variation for bifacial PV systems on rooftops and annual yield prediction in Beijing

Numerical modeling of all-day albedo variation for bifacial PV systems on rooftops and annual yield prediction in Beijing

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Bifacial PV modules capture solar radiation from both sides,enhancing power generation by utilizing reflected sunlight.However,there are difficulties in obtaining ground albedo data due to its dynamic variations.To address this issue,this study established an experimental testing system on a rooftop and developed a model to analyze dynamic albedo variations,utilizing specific data from the environment.The results showed that the all-day dynamic variations in ground albedo ranged from 0.15 to 0.22 with an average of 0.16.Furthermore,this study evaluates the annual performance of a bifacial PV system in Beijing by considering the experimental conditions,utilizing bifacial modules with a front-side efficiency of 21.23%and a bifaciality factor of 0.8,and analyzing the dynamic all-day albedo data obtained from the numerical module.The results indicate that the annual radiation on the rear side of bifacial PV modules is 278.90 kWh/m2,which accounts for only 15.50%of the front-side radiation.However,when using the commonly default albedo value of 0.2,the rear-side radiation is 333.01 kWh/m2,resulting in an overestimation of 19.40%.Under dynamic albedo conditions,the bifacial system is predicted to generate an annual power output of 412.55 kWh/m2,representing a significant increase of approximately 12.37%compared to an idealized monofacial PV system with equivalent front-side efficiency.Over a 25-year lifespan,the bifacial PV system is estimated to reduce carbon emissions by 8393.91 kgCO2/m2,providing an additional reduction of 924.31 kgCO2/m2 compared to the idealized monofacial PV system.These findings offer valuable insights to promote the application of bifacial PV modules.

bifacial PV moduleground albedosimulationcarbon emission reduction

Xiaoxiao Su、Chenglong Luo、Xinzhu Chen、Jie Ji、Yanshun Yu、Yuandan Wu、Wu Zou

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School of Energy and Power Engineering,Nanjing University of Science and Technology,Nanjing 210094,China

Department of Thermal Science and Energy Engineering,University of Science and Technology of China,Hefei 230027,China

Institute of Energy Research,Jiangxi Academy of Sciences,Nanchang 330096,China

Jiangsu provincial key research and development program,ChinaFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China(NSFC)Jiangxi provincial key research and development program,China

BE2023821309230110375140827820202BBEL53033

2024

10.1007/s12273-024-1120-y

建筑模拟(英文版)

建筑模拟(英文版)

EI
ISSN：1996-3599
年,卷(期)：2024.17(6)
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