ABSTRACT

Because of the applicability and sustainability, photovoltaic (PV) panels are widely used around the world and attracting lots of academic research interests as one promising application of renewable energy. However, snow issues would decrease the power generating efficiency of PV panels during the winter in cold and snowy regions so that studies of snow-removing methods for PV panels attracted lots of interests. To some extent, current snow-removing methods, either manually or mechanically, have their own deficiencies. Therefore, a novel self-heating snow-removing method for PV panels was proposed in this study, applying a PV panel as an electrical load by supplying it with electric power. To validate this novel method, experiments were carried out and reported in detail in this paper and four influencing factors, snow thickness (4–8 cm), ambient air temperature (−3 to −9°C), input power (170 to 290 W/m²) and the panel tilt (14 to 18º), on the snow-removing time were quantitatively analyzed. Generally, the experimental results showed that increasing the snow thickness, the ambient air temperature, the input electric power and the panel tilt would somehow benefit to the snow-removing process and within the range of the varying parameters the snow-removing time reduction could reach as high as 83.4%. Furthermore, the correlation between the four factors and the snow-removing time was generalized through multiple variables linear regression using obtained experimental data. The comparison between the predicted and tested value showed good agreement, suggesting that the correlation regressed can provide satisfying accuracy when applied to estimating the snow-removing duration in engineering application using the novel snow-removing method proposed in this paper.

摘要

由于适用性和可持续性，光伏（PV）电池板在世界范围内得到广泛应用，并作为可再生能源的一种有前景的应用吸引了大量的学术研究兴趣。然而，在寒冷多雪的地区，积雪问题会降低光伏电池板在冬季的发电效率，因此光伏电池板除雪方法的研究引起了人们的广泛关注。在某种程度上，目前的除雪方法，无论是人工还是机械，都存在着自身的不足。因此，本研究提出了一种新的光伏板自热除雪方法，将光伏板作为电力负载，为其供电。为了验证这种新方法，本文进行了实验并详细报告了四个影响因素，雪厚（4-8 cm），²）和面板倾斜（14至18º），对除雪时间进行了定量分析。一般来说，实验结果表明，增加积雪厚度、环境空气温度、输入电力和面板倾斜度在一定程度上有利于除雪过程，并且在变化的参数范围内，除雪时间减少可以达到高达 83.4%。此外，利用获得的实验数据，通过多变量线性回归来概括这四个因素与除雪时间之间的相关性。预测值与测试值比较吻合较好，