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多因素耦合对光伏发电性能影响的试验研究
引用本文:仲仕晶,赵书杰. 多因素耦合对光伏发电性能影响的试验研究[J]. 科学技术与工程, 2020, 20(7): 2727-2732
作者姓名:仲仕晶  赵书杰
作者单位:苏州科技大学环境科学与工程学院,苏州215009;苏州科技大学环境科学与工程学院,苏州215009;苏州科技大学建筑与城市规划学院,苏州215009
基金项目:江苏高校优势学科建设工程项目
摘    要:为了解苏州地区各因素耦合对光伏发电性能的影响,在苏州科技大学搭建了太阳能光伏一体化材料试验台,将所采集到的同步光伏发电数据及环境气象参数进行研究分析,首先采用了多元线性回归方程的分析方法,分析了各影响因素与光伏板表面温度之间的关系。接着研究了光伏板表面温度对光伏板发电量的影响;并采用了一元线性回归方程分析其之间的关系。然后采用趋势面分析法,分析了光伏板表面温度和太阳辐射量量对多晶硅光伏板发电量的影响。研究表明:环境温度每升高1℃,光伏板表面温度增加0.908℃;室外风速每增大1 m/s,光伏板表面温度降低0.056℃;总太阳辐射强度每升高1 W/m~2,光伏板表面温度增加0.035℃;室外湿度每增大1%,光伏板表面温度降低0.172℃;且光伏板表面温度每升高1℃,发电量增加0.073 W·h。同时,趋势面分析发现光伏板表面温度与太阳辐射量对发电量的影响呈双向变化的趋势,即太阳辐射量的正向变化,光伏板表面温度负向变化,且两级变化趋势明显,中间变化趋势平缓。

关 键 词:多因素耦合  光伏板表面温度  发电量  多元线性回归方程  趋势面分析
收稿时间:2019-09-01
修稿时间:2020-03-24

Experimental Study on The Influence of Multi-factor Coupling on Photovoltaic Power Generation Performance
Zhong Shijing,Zhao Shujie. Experimental Study on The Influence of Multi-factor Coupling on Photovoltaic Power Generation Performance[J]. Science Technology and Engineering, 2020, 20(7): 2727-2732
Authors:Zhong Shijing  Zhao Shujie
Affiliation:School of Environmental Science and Engineering,Suzhou University of Science and Technology,
Abstract:In order to understand the influence of various factors coupling on photovoltaic power generation performance in Suzhou, a solar photovoltaic integrated material test bench was set up at Suzhou University of Science and Technology. The collected synchronous photovoltaic power generation data and environmental meteorological parameters were analyzed and analyzed. The analysis method of the regression equation analyzes the relationship between each influencing factor and the surface temperature of the photovoltaic panel. Then, the influence of the surface temperature of the photovoltaic panel on the photovoltaic panel''s power generation is studied, and the relationship between the factors is analyzed by a linear regression equation. Then, the influence of the surface temperature of the photovoltaic panel and the amount of solar radiation on the power generation of the polycrystalline silicon photovoltaic panel was analyzed by the trend surface analysis method. The research shows that the surface temperature of the photovoltaic panel increases by 0.908 °C for every 1 °C increase of the ambient temperature; the surface temperature of the photovoltaic panel decreases by 0.056 °C for every 1 m/s of outdoor wind speed; the surface of the photovoltaic panel increases by 1 W/m2 for the total solar radiation intensity. The temperature increased by 0.035 ° C; the outdoor humidity increased by 1%, the surface temperature of the photovoltaic panel decreased by 0.172 ° C, and the photovoltaic panel surface temperature increased by 1 ° C, the power generation increased by 0.073 Wh. At the same time, the trend surface analysis found that the influence of the surface temperature of the photovoltaic panel and the amount of solar radiation on the power generation showed a bidirectional change, that is, the positive change of the solar radiation amount, the surface temperature of the photovoltaic panel changed negatively, and the two-stage change trend was obvious. The trend of change is flat.
Keywords:multi-factor coupling photovoltaic panel surface temperature power generation multiple linear regression equation trend surface analysis
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