New approach to estimate 5-min global solar irradiation data on tilted planes from horizontal measurement

被引:18
|
作者
Takilalte, Abdelatif [1 ,2 ]
Harrouni, Samia [1 ]
Yaiche, Mohamed Redha [2 ]
Mora-Lopez, Llanos [3 ]
机构
[1] USTHB, Fac Elect & Informat, Lab Instrumentat LINS, POB 32, Algiers 16111, Algeria
[2] CDER, BP 62 Route Observ, Algiers 16340, Algeria
[3] Univ Malaga, ETSI Informat, Dept Lenguajes & Ciencias Computac, Campus Teatinos, Malaga 29071, Spain
关键词
5-min time step; Global tilted irradiation; Estimation; Cloudiness factor; ARTIFICIAL NEURAL-NETWORKS; INCLINED SURFACES; RADIATION; PERFORMANCE; PREDICTION; MODELS; MACHINE; VALUES;
D O I
10.1016/j.renene.2019.07.165
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a new methodology to estimate global tilted irradiation in 5-min steps using only global irradiation on the horizontal plane. The methodology is based on a combination of the two well-known conventional Perrin Brichambaut and Liu and Jordan models. Tilted irradiation is of great importance for the design and short-term performance assessment of fixed-tilt flat-plate collectors and photovoltaic (PV) systems. Intermediate key parameters of the state of the sky, referred to here as cloudiness factors, are determined and introduced to transform isotropic models into an anisotropic model. The results of the proposed model for all sky conditions with regard to normalized root mean square error (nRMSE), relative percentage error (RPE), normalized mean absolute error (nMAE) and coefficient of correlation (R-2) range from 4.7 to 6.41%, 5.5-5.9%, 3.07-4.73% and 0.97 to 0.99, respectively, which are very accurate results, especially for such a short time step. A comparison with the best conventional models and even artificial neural network (ANN) models described in the literature has confirmed that the developed model has smaller errors. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2477 / 2488
页数:12
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