The impacts of the ambient absolute and relative humidity on the performance of a photovoltaic (PV) solar module are investigated in details here. Using the experimental data recorded during a year as inputs, the artificial neural network is employed to develop models to predict voltage and current based on the effective parameters, including ambient temperature and relative humidity, as well as the wind velocity and irradiance, and having developed and validated the models, a comprehensive parametric study is conducted. The parametric study is performed to find the impacts of absolute and relative humidity on the voltage, current, power, and efficiency, as the main characteristics of a solar module. A mono and a poly crystalline solar modules with the same capacity and almost the same dimensions are considered and compared together. The results show that all the characteristics have a downward trend when absolute and relative humidity increase. Moreover, both the behavior and changes for the absolute humidity are found the same as the relative humidity. In addition, the lowest level of dependency is observed for voltage the of monocrystalline module. It has 12.2% decrease in the relative humidity range of 10–50%. By contrast, both generated power and efficiency of the polycrystalline module change 46.3% in the same range and have the highest sensitivity level. Moreover, in general, the poly crystalline type is found more sensitive to the relative humidity than the mono type.

此处详细研究了环境绝对湿度和相对湿度对光伏（PV）太阳能电池组件性能的影响。使用一年中记录的实验数据作为输入，使用人工神经网络开发模型以基于有效参数（包括环境温度和相对湿度以及风速和辐照度）预测电压和电流，并验证了模型，进行了全面的参数研究。进行参数研究是为了找出绝对和相对湿度对电压，电流，功率和效率的影响，这是太阳能电池组件的主要特征。考虑并比较具有相同容量和几乎相同尺寸的单晶和多晶太阳能组件。结果表明，当绝对湿度和相对湿度增加时，所有特性均呈下降趋势。此外，发现绝对湿度的行为和变化都与相对湿度相同。此外，单晶组件的电压依从性最低。在10–50％的相对湿度范围内降低了12.2％。相反，多晶组件的发电功率和效率在相同范围内变化46.3％，并且具有最高的灵敏度水平。而且，通常发现多晶型比单晶型对相对湿度更敏感。绝对湿度的行为和变化都与相对湿度相同。此外，单晶组件的电压依从性最低。在10–50％的相对湿度范围内降低了12.2％。相反，多晶组件的发电功率和效率在相同范围内变化46.3％，并且具有最高的灵敏度水平。而且，通常发现多晶型比单晶型对相对湿度更敏感。绝对湿度的行为和变化都与相对湿度相同。此外，单晶组件的电压依从性最低。在10–50％的相对湿度范围内降低了12.2％。相反，多晶组件的发电功率和效率在相同范围内变化46.3％，并且具有最高的灵敏度水平。而且，通常发现多晶型比单晶型对相对湿度更敏感。