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Novel analytical hourly solar radiation models for photovoltaic based system sizing algorithms

机译:用于基于光伏的系统尺寸调整算法的新型分析小时太阳辐射模型

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摘要

In spite of the ever increasing energy demands and the danger of exhausting fossil energy supplies, renewable energy systems remain to be expensive. The critical step is the cost and efficiency optimized planning of the system components, also known as sizing. The pre-requisite of sizing, on the other hand, is the accurate measurement of the renewable energy potential of a given region. In this work, the solar potential measurement problem is considered and a 2-D surface approach is adopted for accurate determination of the renewable potential. More specifically, hourly behavior of the solar radiation is modeled using an analytical 2-D surface approach. The 2-D rendered solar radiation data are examined and several functions are tested for fitting the data, including combinations of sinusoids, Gaussian and polynomial functions, and extraterrestrial radiation models. The accuracy of the models are compared and discussed. Moreover, the models are tested on data measured from different geographical locations and the robustness of each model is discussed. It is argued that the generated models provide information to solar system sizing for a better efficient in terms of lower costs and complied energy reliability.
机译:尽管不断增长的能源需求和耗尽化石能源供应的危险,可再生能源系统仍然昂贵。关键步骤是对系统组件进行成本和效率优化的计划,这也称为调整大小。另一方面,确定规模的前提是准确测量给定区域的可再生能源潜力。在这项工作中,考虑了太阳势测量问题,并采用了二维表面方法来精确确定可再生势。更具体地说,太阳辐射的小时行为是使用分析的二维表面方法建模的。检查了二维渲染的太阳辐射数据,并测试了一些拟合数据的函数,包括正弦曲线,高斯和多项式函数的组合以及地外辐射模型。比较并讨论了模型的准确性。此外,对从不同地理位置测得的数据进行了模型测试,并讨论了每种模型的鲁棒性。有人认为,生成的模型可为太阳能系统的规模确定提供信息,从而在降低成本和提高能源可靠性方面提供更高的效率。

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