Estimation the DNI from global and diffuse horizontal irradiance for Algeria

T. Boukelia, M. Mecibah, I. E. Meliche
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引用次数: 5

Abstract

Determination of hourly direct normal solar irradiance (DNI) received during an average day of each month is essential for calculating the solar concentrator performance throughout the day. DNI data provided by different databases, spatial or ground-based measurements. While the spatial databases are a useful tool in renewable energy applications, they present uncertainty; the ground-based measurement databases are rarely available at the location of interest because the reasons of high cost and maintenance problems especially for developing countries like Algeria. This lack of DNI data contrasts with the availability of global and diffuse horizontal irradiation data (Gm, DHI). In this study, as the first part of the work, a simplified methodology for estimation the hourly, monthly and annual direct normal irradiance DNI data using the monthly mean global and the diffuse horizontal irradiance (GEH, DHI) is presented. Secondly, the data of the modeled DNI in addition to NASA-SSE database are validated their uncertainties using nine statistical parameters, and by comparison with the measured data of three ground stations in Algeria (Algiers, Ghardaia and Tamanrasset).
根据阿尔及利亚的全球和漫射水平辐照度估算DNI
计算太阳能聚光器全天的性能,必须计算每月平均每日每小时的直接正常太阳辐照度(DNI)。由不同数据库、空间或地面测量提供的DNI数据。虽然空间数据库在可再生能源应用中是一个有用的工具,但它们存在不确定性;由于成本高和维护问题,特别是对阿尔及利亚等发展中国家而言,地面测量数据库很少在有关地点可用。DNI数据的缺乏与全球和漫射水平辐射数据(Gm, DHI)的可用性形成对比。在本研究中,作为工作的第一部分,提出了一种使用月平均全球和漫射水平辐照度(GEH, DHI)估计小时、月和年直接正常辐照度DNI数据的简化方法。其次,利用9个统计参数,并与阿尔及利亚3个地面站(Algiers、Ghardaia和Tamanrasset)的实测数据进行对比,验证了模型DNI和NASA-SSE数据库数据的不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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