The electricity generation of solar photovoltaic (PV) panels can be significantly affected by snow cover on the panels. This influence must be accurately predicted for PV systems to be considered a reliable source of electricity generation. Previous studies have shown the effectiveness of threshold-type empirical models in predicting the condition of snow cover on PV panels; these models use plane-of-array irradiance and present ambient temperature to determine if clearing will occur on the panels. This study conducts a sensitivity analysis that examines the effectiveness of absorbed and accumulated solar irradiances as well as the thermal capacitance of PV panels on the prediction process. The analysis has experimentally proven that front absorbed irradiance substantially improves prediction models compared to ones based only on plane-of-array irradiance. Further analyses were executed on the solar radiation absorbed by a panel's back surface and accumulated solar heat caused by the thermal capacitance of PV panels. Experimental data was used to develop a preliminary model that can generate time-series weighting factors to calculate the accumulated solar heat in panels. The results of this analysis would assist subsequent investigations in reducing the uncertainties of empirical threshold models that determine meteorological conditions of snow cover melting and enhance the forecasting of electricity generation from PV systems in regions that experience snowfall.

面板上的积雪会严重影响太阳能光伏（PV）面板的发电量。必须准确预测这种影响，才能将光伏系统视为可靠的发电来源。先前的研究表明阈值型经验模型在预测光伏面板上积雪状况方面的有效性。这些模型使用阵列平面辐照度和当前环境温度来确定面板上是否会发生清洁。这项研究进行了敏感性分析，检查了预测过程中吸收和累积的太阳辐照度以及光伏电池板的热容的有效性。该分析已通过实验证明，与仅基于阵列辐照度的模型相比，前吸收辐照度可大大改善预测模型。对面板背面吸收的太阳辐射以及由PV面板的热电容引起的累积太阳热进行了进一步的分析。实验数据用于开发一个初步模型，该模型可以生成时间序列加权因子，以计算面板中累积的太阳热量。该分析的结果将有助于后续研究，以减少确定雪盖融化的气象条件的经验阈值模型的不确定性，并增强对经历降雪的地区的光伏系统发电量的预测。对面板背面吸收的太阳辐射以及由PV面板的热电容引起的累积太阳热进行了进一步分析。实验数据用于开发一个初步模型，该模型可以生成时间序列加权因子，以计算面板中累积的太阳热量。该分析的结果将有助于后续研究，以减少确定雪盖融化的气象条件的经验阈值模型的不确定性，并增强对经历降雪的地区的光伏系统发电量的预测。对面板背面吸收的太阳辐射以及由PV面板的热电容引起的累积太阳热进行了进一步的分析。实验数据用于开发一个初步模型，该模型可以生成时间序列加权因子，以计算面板中累积的太阳热量。该分析的结果将有助于后续研究，以减少确定雪盖融化的气象条件的经验阈值模型的不确定性，并增强对经历降雪的地区的光伏系统发电量的预测。实验数据用于开发一个初步模型，该模型可以生成时间序列加权因子，以计算面板中累积的太阳热量。该分析的结果将有助于后续研究，以减少确定雪盖融化的气象条件的经验阈值模型的不确定性，并增强对经历降雪的地区的光伏系统发电量的预测。实验数据用于开发一个初步模型，该模型可以生成时间序列加权因子，以计算面板中累积的太阳热量。该分析的结果将有助于后续研究，以减少确定雪盖融化的气象条件的经验阈值模型的不确定性，并增强对经历降雪的地区的光伏系统发电量的预测。