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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories

机译：分析和评估巴勒斯坦领土太阳辐射的各个方面

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摘要

This paper aims to evaluate the different models used to analyze different aspects of solar radiation in the Palestinian territories. Calculations of the optimized tilt and surface azimuth angles on monthly, seasonal and yearly basis were conducted, with the genetic algorithm being used for this purpose. Different PV tracking methods were also evaluated, taking into account the annual energy production. The different models used to calculate hourly global solar radiation from the daily data were tested in order to facilitate the selection of the most suitable model in the context of Palestine. The calibration of coefficients for the different regression models that were used for estimating the global solar radiation based on sunshine hours was also performed during the course of this work. These coefficients were calculated using both MATLAB's fitting tool and genetic algorithm. Linear, quadratic and linear-algorithmic regression models displayed almost identical results. Each has a distinctive predominant feature, especially in the context of statistical indicators. They were calculated using both the monthly average daily data and the daily data sets. With regards to the PV panel angles' optimization, it was found that the yearly optimum tilt angle (32.8°) is adjacent to the latitude of the location (31.8°), while the surface azimuth angle is 16°. It was also found that changing the tilt angle of the PV panels quarterly (optimized on seasonally basis) increases energy yield by 3.4% when compared with fixing this tilt angle at yearly optimized value. It was also discovered that changing the surface azimuth angle is more effective during winters than summers.
机译：本文旨在评估用于分析巴勒斯坦领土太阳辐射不同方面的不同模型。在每月，季节性和每年的基础上进行了优化的倾斜和表面方位角的计算，并为此目的使用了遗传算法。考虑到年度能源生产，还评估了不同的PV跟踪方法。测试了用于根据每日数据计算每小时全球太阳辐射量的不同模型，以便于在巴勒斯坦范围内选择最合适的模型。在此工作过程中，还对用于基于日照时间估计全球太阳辐射的不同回归模型的系数进行了校准。这些系数是使用MATLAB的拟合工具和遗传算法来计算的。线性，二次和线性算法回归模型显示的结果几乎相同。每种方法都有其独特的主要特征，尤其是在统计指标的背景下。使用月平均每日数据和每日数据集进行计算。关于光伏面板角度的优化，发现年度最佳倾斜角（32.8°）与位置的纬度（31.8°）相邻，而表面方位角为16°。还发现，与将倾斜角固定为年度最佳值相比，每季度更改一次光伏板的倾斜角（按季节优化）可将能源产量提高3.4％。还发现，冬季比夏季改变表面方位角更为有效。

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