首页> 外文期刊>Energy Conversion & Management >ANALYSIS OF DAILY CLEARNESS INDEX, GLOBAL AND BEAM RADIATION FOR BEER SHEVA, ISRAEL: PARTITION ACCORDING TO DAY TYPE AND STATISTICAL ANALYSIS
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ANALYSIS OF DAILY CLEARNESS INDEX, GLOBAL AND BEAM RADIATION FOR BEER SHEVA, ISRAEL: PARTITION ACCORDING TO DAY TYPE AND STATISTICAL ANALYSIS

机译:以色列啤酒舍瓦的每日清洁指数,全球辐射和束辐射分析:按天类型划分和统计分析

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摘要

The magnitude of the daily clearness index K_T has been utilized to classify a day as either clear, partially cloudy or cloudy. The range of values for defining a day type was based upon a previous analysis of the Beer Sheva radiation database. These criteria were employed to partition the days according to type and the corresponding monthly average daily values for the clearness index, global, normal incidence and horizontal beam radiation were calculated. A statistical analysis was performed on each of the monthly average daily value subsets to help convey the shape of their respective distribution curves. The monthly average frequency of days according to type was also determined. Such an analysis of the solar radiation database for a particular site can be utilized to determine the relative merits of different types of solar energy conversion systems, e.g. concentrating vis-a-vis non-concentrating solar collector systems. The results of this analysis for Beer Sheva indicate that this region is very amenable to the utilization of non-concentrating solar energy conversion systems, since the combined frequency of both clear and partially cloudy days exceeds 80% annually. In addition, the Beer Sheva region is a prime candidate for the use of solar energy conversion systems utilizing concentrating collectors due to its relatively high frequency of clear days and the fact that the monthly average daily values of the clearness index, even for partially cloudy days, are relatively high (K_T > 0.50).
机译:每日清除指数K_T的大小已被用于将一天分类为晴天,部分多云或多云。定义日期类型的值范围是基于对Beer Sheva辐射数据库的先前分析。这些标准用于根据类型对天数进行划分,并计算出相应的清除指数,总体,法线入射和水平束辐射的月平均日值。对每个月平均每日价值子集进行了统计分析,以帮助传达它们各自的分布曲线的形状。还确定了根据类型的每月平均天数。对特定地点的太阳辐射数据库的这种分析可以用来确定不同类型的太阳能转换系统的相对优点,例如太阳能系统。相对于非集中式太阳能集热器系统。对比尔·谢瓦(Beer Sheva)进行分析的结果表明,该地区非常适合使用非集中式太阳能转换系统,因为晴天和部分阴天的合并频率每年都超过80%。此外,比尔谢瓦(Beer Sheva)地区是使用集中式集热器的太阳能转换系统的主要候选者,因为其晴天的频率较高,而且即使在部分阴天,晴天的月平均日值也是如此相对较高(K_T> 0.50)。

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