Improving Measured Horizontal Solar Radiation Data: The Case Study-Asia Continent

R. Bawazir, N. Cetin
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Abstract

Horizontal solar radiation is the main input of all solar power applications. Solar radiation data collecting from the ground-based meteorological station seems still the most reliable compared to others such as satellite databases. In literature, there is a number of recent studies that utilize directly old measure solar radiation data without any precaution. As a consequence, the solar system can be exposed to poor technoeconomic assessment. This paper attempts to find a close agreement to enhance the old measured data within the period 1971 and 2003 to make it more applicable for further studies and applications. Therefore, NASA POWER, PVGIS 5, Meteonorm software, and old measured data are used and compared to the new measured data (as reference). All measured data are collected from the World Radiation Data Centre (WRDC) published in various articles. Six distributed locations in the Asian continent are used as a case study for this paper. Statistical methods including Global Performance Indicator (GPI) are used to investigate and compare solar data sources. It is argued that the improvement of old measured data can be obtained either by the proposed method for each country or by a proposed hybrid of all solar data sources for any location in the Asian continent.
改进水平太阳辐射测量数据:以亚洲大陆为例
水平太阳辐射是所有太阳能发电应用的主要输入。与卫星数据库等其他数据库相比,地面气象站收集的太阳辐射数据似乎仍然是最可靠的。在文献中,最近有许多研究直接利用旧的测量太阳辐射数据,而不采取任何预防措施。因此,太阳系可能会受到糟糕的技术经济评估。本文试图找到一个紧密的协议,以加强旧的测量数据在1971年和2003年期间,使其更适用于进一步的研究和应用。因此,使用NASA POWER、PVGIS 5、Meteonorm软件和旧的测量数据,并与新测量数据进行对比(作为参考)。所有测量数据都是从世界辐射数据中心(WRDC)收集的,发表在各种文章中。本文以亚洲大陆的六个分布地点作为案例研究。包括全球绩效指标(GPI)在内的统计方法用于调查和比较太阳能数据源。有人认为,旧的测量数据的改进既可以通过针对每个国家的拟议方法获得,也可以通过针对亚洲大陆任何地点的所有太阳能数据源的拟议混合方法获得。
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