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Long-Term Variability of Aerosol Optical Depth, Dust Episodes, and Direct Normal Irradiance over Kuwait for CSP Applications

机译:CSP应用中科威特的气溶胶光学厚度,粉尘事件和直接正常辐照度的长期变化

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Two sources of aerosol data (from ground-based sunphotomctry and long-term rcanalysis), as well as irradiance data (from ground-based radiometric measurements) are investigated here. The daily, seasonal and interannual variability of aerosol optical depth is evaluated over Kuwait. Based on the MERRA-2 reanalysis, long-term aerosol trends are also established over the period 1980-2016, showing a slight increase in aerosol optical depth (AOD) since about 2000. This is conducive to a concomitant decrease in the direct normal irradiance (DNI) resource of ≈2% per decade, which can affect concentrating solar power (CSP) projects over the long-term. When compared with sunphotometer data from two AERONET stations located at a distance of only 90 km, but in somewhat differing environments, shortcomings are found in the aerosol data from the MERRA-2 reanalysis. Both bias and scatter are found in the hourly and daily AOD data, as well as occasional mismatch in the prediction of the more-or-less frequent AOD spikes caused by dust storm episodes. The use of MERRA-2 aerosol data for the prediction of clear-sky DNI with a high-performance irradiance model results in underestimation (of ≈ 13% on average) and substantial scatter on a 1-min basis, based on a comparison with co-located, high-quality DNI data.
机译:这里研究了两种气溶胶数据源(来自地面的日光照射和长期再分析)以及辐照度数据(来自地面的辐射测量)。在科威特各地评估了气溶胶光学深度的每日,季节性和年际变化。根据MERRA-2重新分析,1980-2016年期间也建立了长期气溶胶趋势,显示自2000年以来气溶胶光学深度(AOD)略有增加。这有利于直接正常辐照度的同时下降。每十年约2%的(DNI)资源,这可能会长期影响聚光太阳能(CSP)项目。与来自两个仅相距90 km的AERONET站的日光计数据进行比较时,但是在有些不同的环境中,MERRA-2重新分析的气溶胶数据存在缺陷。在每小时和每天的AOD数据中都发现了偏差和散布,以及在预测由沙尘暴事件引起的或多或少的频繁AOD峰值时偶尔出现的不匹配。使用MERRA-2气溶胶数据通过高性能辐照度模型预测晴空DNI会导致低估(平均≈13%)并在1分钟内产生大量散布,这是基于与CO的比较定位的高质量DNI数据。

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