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Experimental investigation of simple solar radiation spectral model performances under a Mediterranean Algerian's climate

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  • Koussa, Mustapha
  • Saheb-Koussa, Djohra
  • Hadji, Seddik

Abstract

In this work, models are presented that, under cloudless atmosphere conditions, calculate solar spectral normal direct and horizontal diffuse irradiance. Based on different monochromatic transmission factors related to the main constituents of the atmosphere, the models evaluate the spectral irradiance between 0.29 and 4.0 μm. Absorption by water vapor, uniformly mixed gas, and ozone are considered as well as scattering by the atmospheric aerosols. Based on the equations relative to each one of the two retained models, a MATLAB program is developed to evaluate the spectral distribution of each solar irradiance component. Hence, the geographical coordinates of the site, and the monochromatic distribution of the extraterrestrial irradiance are used as input data. From three-year data measurement records made in Bouzareah site (temperate climate), thirty eight days characterized by a clear sky state have been selected from over different months of the year and the corresponding main meteorological parameters used as input parameters. So, because only the five-minute broadband data measurements are available, the modified numerical trapeze method is used to integrate the monochromatic curve values related to each solar irradiance component. Consequently, the precipitable water vapor amount, the Angstrom and Linke turbidity factors are evaluated and a multi-linear correlation relating the Linke turbidity factor to the precipitable water vapor and the Angstrom turbidity coefficient is established. Hence, according to the mean values of Linke and Angstrom turbidity factors and those of the precipitable water vapor, the site of Bouzareah is classified as a rural site. So, the effect of the main constituents of the atmosphere on the spectral distribution of solar irradiance is discussed and, it is also observed that the aerosol amount contained in the atmosphere affects most both of the diffuse and direct solar irradiance amount than that of the horizontal and inclined solar global components. Conversely, it is observed that it is less efficient in evaluating the horizontal diffuse components and its accuracy depends on several scattering phenomena, which are represented by scientists by means of constant values or expressions. The reasonable accuracy of the model and for it's simplicity make it for a number of solar applications.

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  • Koussa, Mustapha & Saheb-Koussa, Djohra & Hadji, Seddik, 2017. "Experimental investigation of simple solar radiation spectral model performances under a Mediterranean Algerian's climate," Energy, Elsevier, vol. 120(C), pages 751-773.
    • Handle: RePEc:eee:energy:v:120:y:2017:i:c:p:751-773
    DOI: 10.1016/j.energy.2016.11.132
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    as
    1. Elminir, Hamdy K., 2007. "Experimental and theoretical investigation of diffuse solar radiation: Data and models quality tested for Egyptian sites," Energy, Elsevier, vol. 32(1), pages 73-82.
    2. Li, Sha & Xu, Guoqiang & Luo, Xiang & Quan, Yongkai & Ge, Yunting, 2016. "Optical performance of a solar dish concentrator/receiver system: Influence of geometrical and surface properties of cavity receiver," Energy, Elsevier, vol. 113(C), pages 95-107.
    3. Ferraro, Vittorio & Marinelli, Valerio, 2012. "An evaluation of thermodynamic solar plants with cylindrical parabolic collectors and air turbine engines with open Joule–Brayton cycle," Energy, Elsevier, vol. 44(1), pages 862-869.
    4. Badescu, Viorel & Gueymard, Christian A. & Cheval, Sorin & Oprea, Cristian & Baciu, Madalina & Dumitrescu, Alexandru & Iacobescu, Flavius & Milos, Ioan & Rada, Costel, 2012. "Computing global and diffuse solar hourly irradiation on clear sky. Review and testing of 54 models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1636-1656.
    5. Sabziparvar, Ali A. & Shetaee, H., 2007. "Estimation of global solar radiation in arid and semi-arid climates of East and West Iran," Energy, Elsevier, vol. 32(5), pages 649-655.
    6. Kaplanis, S. & Kaplani, E., 2010. "Stochastic prediction of hourly global solar radiation for Patra, Greece," Applied Energy, Elsevier, vol. 87(12), pages 3748-3758, December.
    7. Li, Danny H.W & Lam, Joseph C, 2002. "A study of atmospheric turbidity for Hong Kong," Renewable Energy, Elsevier, vol. 25(1), pages 1-13.
    8. Alvarez, A. & Cabeza, O. & Muñiz, M.C. & Varela, L.M., 2010. "Experimental and numerical investigation of a flat-plate solar collector," Energy, Elsevier, vol. 35(9), pages 3707-3716.
    9. Vida, J. & Foyo-Moreno, I. & Alados-Arboledas, L., 1999. "Performance validation of MURAC, a cloudless sky radiance model proposal," Energy, Elsevier, vol. 24(8), pages 705-721.
    10. Janjai, S. & Kumharn, W. & Laksanaboonsong, J., 2003. "Determination of Angstrom’s turbidity coefficient over Thailand," Renewable Energy, Elsevier, vol. 28(11), pages 1685-1700.
    11. Bahel, V. & Srinivasan, R. & Bakhsh, H., 1987. "Statistical comparison of correlations for estimation of global horizontal solar radiation," Energy, Elsevier, vol. 12(12), pages 1309-1316.
    12. Zeroual, A. & Ankrim, M. & Wilkinson, A.J., 1995. "Stochastic modelling of daily global solar radiation measured in Marrakesh, Morocco," Renewable Energy, Elsevier, vol. 6(7), pages 787-793.
    13. Li , Xiang Yi & Kanayama, Kimio & Baba, Hiromu, 2000. "Spectral calculation of the thermal performance of a solar pond and comparison of the results with experiments," Renewable Energy, Elsevier, vol. 20(4), pages 371-387.
    14. Hejase, Hassan A.N. & Al-Shamisi, Maitha H. & Assi, Ali H., 2014. "Modeling of global horizontal irradiance in the United Arab Emirates with artificial neural networks," Energy, Elsevier, vol. 77(C), pages 542-552.
    15. Linares-Rodriguez, Alvaro & Ruiz-Arias, José Antonio & Pozo-Vazquez, David & Tovar-Pescador, Joaquin, 2013. "An artificial neural network ensemble model for estimating global solar radiation from Meteosat satellite images," Energy, Elsevier, vol. 61(C), pages 636-645.
    16. Dos Santos, Cícero Manoel & De Souza, José Leonaldo & Ferreira Junior, Ricardo Araujo & Tiba, Chigueru & de Melo, Rinaldo Oliveira & Lyra, Gustavo Bastos & Teodoro, Iêdo & Lyra, Guilherme Bastos & Lem, 2014. "On modeling global solar irradiation using air temperature for Alagoas State, Northeastern Brazil," Energy, Elsevier, vol. 71(C), pages 388-398.
    17. Subiantoro, Alison & Ooi, Kim Tiow, 2013. "Analytical models for the computation and optimization of single and double glazing flat plate solar collectors with normal and small air gap spacing," Applied Energy, Elsevier, vol. 104(C), pages 392-399.
    18. Cucumo, M. & Marinelli, V. & Oliveti, G., 1999. "Data bank Experimental data of the Linke Turbidity factor and estimates of the Ångström turbidity coefficient for two Italian localities," Renewable Energy, Elsevier, vol. 17(3), pages 397-410.
    19. Zeroual, A. & Ankrim, M. & Wilkinson, A.J., 1996. "The diffuse-global correlation: Its application to estimating solar radiation on tilted surfaces in Marrakesh, Morocco," Renewable Energy, Elsevier, vol. 7(1), pages 1-13.
    20. Nijegorodov, N. & Luhanga, P.V.C., 1998. "A new model to predict direct normal instantaneous solar radiation, based on laws of spectroscopy, kinetic theory and thermodynamics," Renewable Energy, Elsevier, vol. 13(4), pages 523-530.
    21. Qin, Hua & Lei, Chengxin & Liu, Hanfa & Wang, Yong & Yuan, Wenfeng, 2013. "Optical design of an aspherical cylinder-type reflecting solar concentrator," Energy, Elsevier, vol. 57(C), pages 751-758.
    22. Torres-Ramírez, M. & Elizondo, D. & García-Domingo, B. & Nofuentes, G. & Talavera, D.L., 2015. "Modelling the spectral irradiance distribution in sunny inland locations using an ANN-based methodology," Energy, Elsevier, vol. 86(C), pages 323-334.
    23. Ferraro, Vittorio & Imineo, Francesco & Marinelli, Valerio, 2013. "An improved model to evaluate thermodynamic solar plants with cylindrical parabolic collectors and air turbine engines in open Joule–Brayton cycle," Energy, Elsevier, vol. 53(C), pages 323-331.
    24. Bahel, V., 1987. "Statistical comparison of correlations for estimation of the diffuse fraction of global radiation," Energy, Elsevier, vol. 12(12), pages 1257-1263.
    25. Benghanem, Mohamed & Mellit, Adel, 2010. "Radial Basis Function Network-based prediction of global solar radiation data: Application for sizing of a stand-alone photovoltaic system at Al-Madinah, Saudi Arabia," Energy, Elsevier, vol. 35(9), pages 3751-3762.
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