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Solar Resource Assessment over Kuwait: Validation of Satellite-derived Data and Reanalysis Modeling

机译:科威特的太阳能资源评估:卫星衍生数据和再分析建模的验证

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The Kuwait Institute of Scientific Research (KISR) has been mandated to develop a first industrial complex of wind, PV and CSP systems at Shagaya, Kuwait. To that end, KISR is also engaged in a full-fledged resource assessment program, based on both ground-based observations and extensive modeling. In this study, ground observations of solar radiation at 5 sites are compared to modeled predictions from various sources. These include a 19-year time series of GHI and DNI obtained from GeoModel’s SolarGIS satellite model, a 35-year GHI time series from NASA’s MERRA reanalysis model, and a 23-year monthly climatology of GHI and DNI from NASA’s SSE database. The long-term monthly mean GHI values obtained from MERRA and site-adapted SolarGIS show reasonable agreement. In contrast, the various predictions of GHI from the raw SolarGIS and the SSE GHI data, as well as most predictions of DNI, exhibit significant differences, likely because of diverging estimates of aerosol effects. The SolarGIS time series is significantly improved by its site adaptation. When derived from either MERRA or SolarGIS, both the GHI inter-annual variability and its long-term trend disagree substantially, which requires additional scrutiny.
机译:科威特科学研究所(KISR)已被要求在科威特Shagaya开发Wind,PV和CSP系统的第一家工业群,。为此,基于基于地面的观察和广泛的​​建模,KISR还从事全方位的资源评估计划。在这项研究中,将5位点的太阳辐射的地面观察与来自各种来源的建模预测进行比较。其中包括从Geomodel的Solargis卫星模型获得的19年的GHI和DNI系列,从NASA的Merra Reanalysis Moduls的35年GHI时间序列以及来自NASA的SSE数据库的GHI和DNI的23年间气候学。从Merra和现场适应的Solargis获得的长期月平均GHI值显示合理的协议。相比之下,来自原始SolarGIS和SSE GHI数据的GHI的各种预测,以及DNI的大多数预测表现出显着的差异,可能是因为发散气溶胶效应的估计。 SolarGIS时间序列因其站点适应而显着提高。当衍生自Merra或Solargis时,GHI年间变异性和其长期趋势大大不同意,这需要额外的审查。

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