标题： 太阳-地磁现象对太阳能电池效率的影响 显示英文标题

标题： Effect of Solar-Terrestrial Phenomena on Solar Cell's Efficiency

摘要： 假定光伏器件的太阳能电池效率与太阳辐照度密切相关，并考虑太阳参数“全球太阳辐照度”(G)和气象参数（如地表温度E、平均气温T、相对湿度H以及露点温度D等日数据），分别用K和J作为卡拉奇市和雅各布阿巴德市对应参数的下标。 所有变量除了G以外都依赖于观测站的位置（纬度和经度）。为了采用ARIMA模型进行分析，使用了前18年的数据进行建模，预测了后5年的数据。 大多数情况下，结果显示所有预测变量的实际月值与预测月值之间具有良好的相关性。 接下来，利用ARIMA模型得到的数据进行多元线性回归，并构建了月观测G值的模型。 对于每个站点，构造了两个方程，每个模型的R²值均高于93%，表明拟合效果良好。 我们的计算表明，如果能更好地对气象预测因子进行建模，则可以提高太阳能电池的效率。 显示英文摘要

摘要： It is assumed that the solar cell efficiency of PV device is closely related to the solar irradiance, considered the solar parameter Global Solar Irradiance (G) and the meteorological parameters like daily data of Earth Skin Temperature (E), Average Temperature (T), Relative Humidity (H) and Dew Frost Point (D), for the coastal city Karachi and a non-coastal city Jacobabad, K and J is used as a subscripts for parameters of Karachi and Jacobabad respectively. All variables used here are dependent on the location (latitude and longitude) of our stations except G. To employ ARIMA modeling, the first eighteen years data is used for modeling and forecast is done for the last five years data. In most cases results show good correlation among monthly actual and monthly forecasted values of all the predictors. Next, multiple linear regression is employed to the data obtained by ARIMA modeling and models for mean monthly observed G values are constructed. For each station, two equations are constructed the R2 values are above 93% for each model, showing adequacy of the fit. Our computations show that Solar cell efficiency can be increased if better modeling for meteorological predictors governs the process.