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Evaluation of direct solar irradiance from 18 broadband parametric models: Case of Algeria

机译:通过18个宽带参数模型评估直接太阳辐照度:阿尔及利亚案例

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In this work, eighteen clear sky broadband models for estimating the direct irradiance at normal incidence (DNI) have been investigated. The used solar data has been recorded from two sites of different weather conditions; Bouzareah site (Algiers), located on Mediterranean coast and Ghardaia site, about 600 km, southern of Algiers in the desert region. Three input parameters were measured by two weather devices, namely; hygrometer and manometer systems for calculating the temperature, relative humidity and local pressure. In addition, two Pyrheliometer devices were fixed on the sun-tracker system for measuring the DNI. Moreover, three statistical indicators were used, in the goal to make comparison between the estimated and measured DNI results. Accordingly, the relative bias (rb), the relative root mean square error (rRMSE), the coefficient of determination (r(2)), and the relative error (re) have been calculated. Results obtained from both sites, show that the rb and rRMSE of MAC, Yang, Dogniaux, and ESRA models are typically smaller than 2%. in other hand, a further consideration has been taken to select the best model by evaluating the relative error between the measured and estimated DNI versus the solar elevation angle. The results averred that the ESRA, Dogniaux, MAC and Yang models (in decreasing of performance) performed better than the remaining models, with the rRMSE of 0.443, 1.066, 1.237 and 1.283 for Algiers, and 0390, 1.100, 1.223 and 1.443 for Ghardaia. This fact is important to take into account, in the case where measured data are not available, for the selection of the most suitable locations for the installation of the future concentrating solar power plants in Algeria. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在这项工作中,已经研究了18种晴空宽带模型,用于估计法向入射的直接辐照度(DNI)。已从两个不同天气条件的地点记录了使用的太阳能数据; Bouzareah站点(阿尔及尔)位于地中海沿岸,而Ghardaia站点位于沙漠地区的阿尔及尔南部约600公里处。通过两个天气设备测量了三个输入参数,即:湿度计和压力计系统,用于计算温度,相对湿度和局部压力。另外,在太阳跟踪仪系统上固定了两个高温计设备,用于测量DNI。此外,为了比较DNI估计值和实测值,使用了三个统计指标。因此,已经计算出相对偏差(rb),相对均方根误差(rRMSE),确定系数(r(2))和相对误差(re)。从两个站点获得的结果表明,MAC,Yang,Dogniaux和ESRA模型的rb和rRMSE通常小于2%。另一方面,通过评估测得的和估计的DNI与太阳仰角之间的相对误差,进一步考虑选择最佳模型。结果平均表明,ESRA,Dogniaux,MAC和Yang模型(在性能降低方面)表现优于其余模型,阿尔及尔的rRMSE为0.443、1.066、1.237和1.283,而Ghardaia的rRMSE为0390、1.100、1.223和1.443 。在无法获得测量数据的情况下,必须考虑这一事实,以选择最合适的位置,以便在阿尔及利亚安装将来的聚光太阳能发电厂。 (C)2018 Elsevier Ltd.保留所有权利。

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