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Solar Radiation Estimated Through Mesoscale AtmosphericModeling over Northeast Brazil

机译:通过Mesoscale Atmoshiricmodeling在东北巴西估算的太阳辐射

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The use of renewable energy sources, like solar, wind and biomass is rapidly increasing in recent years, with solar radiation as a particularly abundant energy source over Northeast Brazil. A proper quantitative knowledge of the incoming solar radiation is of great importance for energy planning in Brazil, serving as basis for developing future projects of photovoltaic power plants and solar energy exploitation. This work presents a methodology for mapping the incoming solar radiation at ground level for Northeast Brazil, using a mesoscale atmospheric model (Regional Atmospheric Modeling System — RAMS), calibrated and validated using data from the network of automatic surface stations from the State Foundation for Meteorology and Water Resources from Ceara (Fundacao Cearense de Meteorologia e Recursos Hidricos- FUNCEME). The results showed that the model exhibits systematic errors, overestimating surface radiation, but that, after the proper statistical corrections, using a relationship between the model-predicted cloud fraction, the ground-level observed solar radiation and the incoming solar radiation estimated at the top of the atmosphere, a correlation of 0.92 with a confidence interval of 13.5 W/m~2 is found for monthly data. Using this methodology, we found an estimate for annual average incoming solar radiation over Ceara of 215 W/m~2 (maximum in October: 260 W/m~2).
机译:近年来,使用可再生能源,如太阳能,风和生物质,迅速增加,太阳辐射是东北巴西东北地区的特别丰富的能源。对传入的太阳辐射的正确定量知识对于巴西的能源规划非常重要,作为发展光伏发电厂和太阳能剥削的未来项目的基础。这项工作提供了一种方法,用于使用Mescruse大气模型(区域大气建模系统 - RAMS)来映射到东北巴西的地面的进入的太阳辐射,使用来自国家气象基础的自动表面站网络的数据校准和验证和Ceara的水资源(Fundacao Cearense de Meteorologia e Recuarsos Hidicos-Fureceme)。结果表明,该模型表现出系统误差,高估表面辐射,但是,在适当的统计校正之后,使用模型预测云分数之间的关系,地面观察到的太阳辐射和顶部估计的进入的太阳辐射在大气中,每月数据发现0.92具有13.5W / m〜2的置信区间的相关性。使用这种方法,我们发现了215 W / m〜2的CEARA的年平均进入太阳辐射的估计(10月最高:260W / m〜2)。

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