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Analysis from the new solar radiation Atlas for Saudi Arabia

机译:沙特阿拉伯新的太阳辐射图集的分析

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This paper presents one of the first discussions on the new Solar Atlas of Saudi Arabia, which was launched in February 2014. It assesses selected solar resource and surface meteorological measurements available from the new Renewable Resource Atlas for Saudi Arabia developed by the King Abdullah City for Atomic and Renewable Energy (KACARE) as part of the Renewable Resource Monitoring and Mapping (RRMM) Program. The Solar Atlas provides live data recorded from 41 stations across the country. Accurate solar resource data is critical in reducing technical and financial risks of deploying utility-scale solar energy conversion systems. This paper presents solar maps of the country over time, showing that the direct normal irradiance (DNI) in various regions of the country ranges from approximately 9000 W h/m(2)/day in the summer months to 5000 W h/m(2)/day in the winter months. Global horizontal irradiance (GHI) in various regions can be as high as 8.3 kW h/m(2)/day. One year of ground based solar radiation measurements from new stations at KACARE Headquarters Riyadh and Qassim University are compared with satellite-based model estimates of long-term DNI and GHI solar resources on a monthly mean daily total basis. Comparing the locally measured DNI data at KACARE Headquarters Riyadh with GeoModel, the average difference is about 6.9% of the reported values, the average measurement uncertainty being 8.4%. For GHI measured at KACARE Headquarters Riyadh, a fairly good agreement can be seen between the RRMM values and GeoModel with the average difference being about 5.6%, while the average measurement uncertainty being 6.7%. It might be noted that the GeoModel has data uncertainties for monthly mean daily total radiation in the range of +/- 8% to +/- 15% for DNI, and +/- 4% to +/- 8% for GHI. Finally, the paper reviews data from the recording station at Qassim University (QU), which is equipped with a variety of instruments for measuring solar radiation and surface metrological conditions. The measured values of DNI at QU varied from a maximum of 8367 W h/m(2)/day in July to a minimum of 4702 W h/m(2)/day in January. In terms of percentages, the average difference between the measured monthly mean daily total radiation and the GeoModel estimates is about 5.4% of the reported values, the average measurement uncertainty being 5.1%. In most cases, the observed differences between measured and modeled data were within the combined estimated uncertainty. The results from Solar Atlas are critical in guiding policies, reducing the risks for deploying solar facilities and providing judicious information for construction of solar facilities. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文介绍了2014年2月启动的关于沙特阿拉伯新太阳能图集的首次讨论。它评估了由阿卜杜拉国王城为沙特阿拉伯开发的新可再生资源图集中精选的太阳能资源和地面气象测量结果。原子能和可再生能源(KACARE)是可再生资源监控和制图(RRMM)计划的一部分。 Solar Atlas提供了从全国41个站点记录的实时数据。准确的太阳能数据对于降低部署公用事业规模的太阳能转换系统的技术和财务风险至关重要。本文介绍了该国随时间变化的太阳图,表明该国各个地区的直接正常辐照度(DNI)范围从夏季的大约9000 W h / m(2)/天到5000 W h / m( 2)/冬季的一天。在各个区域中的全球水平辐照度(GHI)可能高达8.3 kW h / m(2)/天。将KACARE总部利雅得和Qassim大学新站一年的地面太阳辐射测量结果与基于DNI和GHI长期太阳能资源的卫星模型估计值(每月平均每日总量)进行比较。将KACARE总部利雅得的本地测量DNI数据与GeoModel进行比较,平均差异约为报告值的6.9%,平均测量不确定度为8.4%。对于在KACARE总部利雅得测量的GHI,可以看到RRMM值与GeoModel之间的一致性很好,平均差异约为5.6%,而平均测量不确定度为6.7%。可能会注意到,GeoModel对于DNI的月平均日总辐射量具有数据不确定性,对于DNI而言,其不确定性在+/- 8%至+/- 15%的范围内,对于GHI,其不确定性在+/- 4%至+/- 8%的范围内。最后,本文回顾了卡西姆大学(QU)记录站的数据,该站配备了各种用于测量太阳辐射和地面计量条件的仪器。在QU处DNI的测量值从7月的最高8367 W h / m(2)/天变化到1月的最低4702 W h / m(2)/天。以百分比表示,测得的每月平均每日总辐射量与GeoModel估计值之间的平均差约为报告值的5.4%,平均测量不确定度为5.1%。在大多数情况下,实测数据与建模数据之间观察到的差异在组合的不确定性估计之内。 Solar Atlas的结果对于指导政策,降低部署太阳能设施的风险以及为太阳能设施的建设提供明智的信息至关重要。 (C)2016 Elsevier Ltd.保留所有权利。

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