The experimental data from the performance of a 300 W poly and a 300 W mono crystalline solar module are gathered during a year, and then, it is employed to evaluate the relation between the standard deviation of temperature distribution on the surface of module and error in prediction of different simulation approaches. The values of error in prediction of working temperature, current, voltage, and power, as the four main key performance parameters of a solar module are obtained for nominal operating cell temperature, nominal module operating temperature, as well as one, two, and three dimensional numerical modeling approaches, as the most popular methods in the literature during the annual performance. The image-processing refined pictures obtained from a high-resolution thermal imaging camera are also employed for the calculation of the standard deviation of temperature distribution. The results demonstrate that the methods used in the engineering applications, like nominal operating cell temperature and nominal module operating temperature, lose their accuracy at the high level of the standard deviation of temperature distribution, i.e., around 15 °C. In addition, voltage and temperature are found as the parameters with the lowest and highest dependencies on the standard deviation of temperature distribution. The maximum values of error for prediction of power by one, two, and three dimensional numerical modeling approaches are also 14.4, 11.4, and 9.6% for the poly crystalline module, and 8.5, 6.3, and 5.2% for the mono type, respectively.

一年中收集了300 W多晶硅和300 W单晶太阳能组件性能的实验数据，然后用于评估组件表面温度分布的标准偏差与温度误差之间的关系。预测不同的仿真方法。获得工作温度，电流，电压和功率的预测误差值，这是太阳能电池组件的四个主要性能参数，用于标称工作电池温度，标称组件工作温度以及1、2和3。三维数值建模方法，作为年度业绩期间文献中最受欢迎的方法。从高分辨率热成像相机获得的图像处理后的精美图片也用于计算温度分布的标准偏差。结果表明，工程应用中使用的方法（如标称工作电池温度和标称模块工作温度）在温度分布的标准偏差较高的水平（即15°C左右）下会失去其准确性。另外，发现电压和温度是与温度分布的标准偏差相关性最低和最高的参数。一维，二维和三维数值建模方法预测功率的误差最大值对于多晶组件分别为14.4％，11.4％和9.6％，对于单晶组件分别为8.5％，6.3％和5.2％。