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Mapping and Geospatial Analysis of Solar Resource in Algeria

机译:阿尔及利亚太阳能资源的制图和地理空间分析

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摘要

This study aimed to develop a simple methodology for mapping a high resolution solar Resource for Algeria, which can serve as a resource and planning guide in the process of setting national solar energy project. In this work, a methodology for downscaling solar irradiation was presented and applied on the long-term satellite-derived global horizontal irradiation (GHI) data obtained from the National Aeronautical and Space Administration (NASA) database. The Elevation correction process was implemented by using the gridded elevation derived from the high resolution Digital Elevation Models (DEM). This methodology is validated using six ground-based measurements. Analysis of the results shows that the estimated monthly average of daily GHI at these sites becomes more accurate by applying the downscaling method. The use of the method permits reduction of the relative error from 1 to 4%, and the relative root mean square deviation from 1% to 3% compared with the original data on the individual stations. Finally, maps of annual and monthly global solar irradiation on horizontal surfaces covering entirely the territory were established and preliminary geospatial analysis was performed on the results. The new raster data appeared to be of acceptable quality for preliminary design study, it provides accuracy comparable to that of the other existing high resolution databases. It also can be used as part of the Geographical Information System (GIS) for simulation and calculation of the various parameters related to solar electricity generation project.
机译:这项研究旨在开发一种用于绘制高分辨率阿尔及利亚太阳能资源的简单方法,该方法可作为制定国家太阳能项目过程中的资源和规划指南。在这项工作中,提出了一种缩小太阳辐射规模的方法,并将其应用于从国家航空航天局(NASA)数据库获得的长期卫星衍生的全球水平辐射(GHI)数据。通过使用从高分辨率数字高程模型(DEM)派生的网格高程来实施高程校正过程。使用六个基于地面的测量结果验证了此方法。结果分析表明,通过采用缩小比例方法,这些地点的每日GHI的估计月平均值变得更加准确。与各个站点上的原始数据相比,使用该方法可以将相对误差从1%降低到4%,相对均方根偏差从1%降低到3%。最后,在覆盖整个领土的水平面上建立了年度和每月全球太阳辐射图,并对结果进行了初步的地理空间分析。对于初步设计研究而言,新的栅格数据似乎具有可接受的质量,其准确性可与其他现有高分辨率数据库相媲美。它也可以用作地理信息系统(GIS)的一部分,用于模拟和计算与太阳能发电项目相关的各种参数。

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