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Investigation of the Dependence of Global Solar Radiation on Some Atmospheric Parameters Over Kano and Oyo-Nigeria

Received: 29 January 2017     Accepted: 24 February 2017     Published: 6 March 2017
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Abstract

Some multi-linear regression equations were developed to investigate the dependence of global solar radiation on a combination of the following parameters: relative humidity, mean of daily temperature, ratio of maximum to minimum daily temperature, relative sunshine hour, rainfall, and the difference of monthly daily maximum and minimum temperature for Kano and Oyo-Nigeria for a span of 30 years (1981-2010). Using the Angstrom model as the base, ten (10) other regression equations were developed by modifying Angstrom equation. The results of statistical indicators: Coefficient of Determination (R2), Mean Bias Error (MBE), Root Mean Square Error (RMSE) and Mean Percentage Error (MPE); performed on the model along with practical comparison of the estimated and observed data validate the excellent performance accuracy of the proposed model. The equations with the highest value of coefficient of determination R2 and least value of RMSE, MBE, and MPE are given as: H/Ho= 0.351 + 0.556(S/So) – 0.268(RH/100) and H/Ho= 0.110 + 0.409(S/So) + 0.152(RH/100) for Kano and Oyo respectively, where S/So is the relative sunshine duration and RH is the relative humidity. The models can be used for estimating global solar radiation on horizontal surfaces for places with similar latitudes where radiation data are unavailable. Based on overall results, it was concluded that Sunshine duration and relative humidity are the most appropriate combination of climatic variables suitable for the estimation of global solar radiation in the study areas.

Published in Radiation Science and Technology (Volume 3, Issue 1)
DOI 10.11648/j.rst.20170301.11
Page(s) 1-7
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Solar Radiation, Meteorological Parameters, Relative Humidity, Temperature, Relative Sunshine Duration, Statistical Indicator

References
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[3] El-Sebaii, A. A, Al-Hazmi, F. S. Al-Ghamdi, A. A. Yaghmour, S. J.(2010). Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia. Applied Energy.87 (2):568-576.
[4] Alam M. S. Saha, S. K. Chowdhury, M. A. Saifuzzaman, M. and Rahman, M. (2005). Simulation of solar radiation systems. American Journal of Applied Sciences. 2 (4): 751-758.
[5] Liu, X. Mei, X. and Li, Y. (2009). Evaluation of temperature based models in China. Agricultural and Forest Meteorology. 149 (9): 1433-1446.
[6] Rahimikhoob, A. (2010). Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment. Renewable Energy. 35 (9): 2131-2135.
[7] Falayi, E. O. (2013). The Impact of Cloud Cover, Relative Humidity, Temperature and Rainfall on Solar Radiation in Nigeria.
[8] Massaquoi, J. G. M. (1988). Global solar radiation in Sierra Leone (West Africa). Solar Wind Technology.5, 281 (283).
[9] Ibrahim S. M. A (1985). Nigeria Journal on Solar Energy 35 (2): 185-188.
[10] Liou, (1980); Introduction to Atmospheric Radiation. Academy press New York.
[11] Angstrom, A. J. (1924). Solar and terrestrial radiation. Q. J Roy Met. Soc. 50: 121-126.
[12] Duffie J. A.; Beckmann W. A. (2013). Solar engineering of thermal processes 3rdEdition, John Wiley, New Jersey.
[13] Cooper, P. I. (1969). The absorption of solar radiation in solar stills. Solar energy, 12 (3): 31.
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[17] Almorox, J. (2005). Estimating global solar radiation from common meteorological data in Aranjuez, Spain. 35. 53-64.
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  • APA Style

    Inalegwu Emmanuel Ogwuche, Sombo T. (2017). Investigation of the Dependence of Global Solar Radiation on Some Atmospheric Parameters Over Kano and Oyo-Nigeria. Radiation Science and Technology, 3(1), 1-7. https://doi.org/10.11648/j.rst.20170301.11

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    ACS Style

    Inalegwu Emmanuel Ogwuche; Sombo T. Investigation of the Dependence of Global Solar Radiation on Some Atmospheric Parameters Over Kano and Oyo-Nigeria. Radiat. Sci. Technol. 2017, 3(1), 1-7. doi: 10.11648/j.rst.20170301.11

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    AMA Style

    Inalegwu Emmanuel Ogwuche, Sombo T. Investigation of the Dependence of Global Solar Radiation on Some Atmospheric Parameters Over Kano and Oyo-Nigeria. Radiat Sci Technol. 2017;3(1):1-7. doi: 10.11648/j.rst.20170301.11

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  • @article{10.11648/j.rst.20170301.11,
      author = {Inalegwu Emmanuel Ogwuche and Sombo T.},
      title = {Investigation of the Dependence of Global Solar Radiation on Some Atmospheric Parameters Over Kano and  Oyo-Nigeria},
      journal = {Radiation Science and Technology},
      volume = {3},
      number = {1},
      pages = {1-7},
      doi = {10.11648/j.rst.20170301.11},
      url = {https://doi.org/10.11648/j.rst.20170301.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rst.20170301.11},
      abstract = {Some multi-linear regression equations were developed to investigate the dependence of global solar radiation on a combination of the following parameters: relative humidity, mean of daily temperature, ratio of maximum to minimum daily temperature, relative sunshine hour, rainfall, and the difference of monthly daily maximum and minimum temperature for Kano and Oyo-Nigeria for a span of 30 years (1981-2010). Using the Angstrom model as the base, ten (10) other regression equations were developed by modifying Angstrom equation. The results of statistical indicators: Coefficient of Determination (R2), Mean Bias Error (MBE), Root Mean Square Error (RMSE) and Mean Percentage Error (MPE); performed on the model along with practical comparison of the estimated and observed data validate the excellent performance accuracy of the proposed model. The equations with the highest value of coefficient of determination R2 and least value of RMSE, MBE, and MPE are given as: H/Ho= 0.351 + 0.556(S/So) – 0.268(RH/100) and H/Ho= 0.110 + 0.409(S/So) + 0.152(RH/100) for Kano and Oyo respectively, where S/So is the relative sunshine duration and RH is the relative humidity. The models can be used for estimating global solar radiation on horizontal surfaces for places with similar latitudes where radiation data are unavailable. Based on overall results, it was concluded that Sunshine duration and relative humidity are the most appropriate combination of climatic variables suitable for the estimation of global solar radiation in the study areas.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Investigation of the Dependence of Global Solar Radiation on Some Atmospheric Parameters Over Kano and  Oyo-Nigeria
    AU  - Inalegwu Emmanuel Ogwuche
    AU  - Sombo T.
    Y1  - 2017/03/06
    PY  - 2017
    N1  - https://doi.org/10.11648/j.rst.20170301.11
    DO  - 10.11648/j.rst.20170301.11
    T2  - Radiation Science and Technology
    JF  - Radiation Science and Technology
    JO  - Radiation Science and Technology
    SP  - 1
    EP  - 7
    PB  - Science Publishing Group
    SN  - 2575-5943
    UR  - https://doi.org/10.11648/j.rst.20170301.11
    AB  - Some multi-linear regression equations were developed to investigate the dependence of global solar radiation on a combination of the following parameters: relative humidity, mean of daily temperature, ratio of maximum to minimum daily temperature, relative sunshine hour, rainfall, and the difference of monthly daily maximum and minimum temperature for Kano and Oyo-Nigeria for a span of 30 years (1981-2010). Using the Angstrom model as the base, ten (10) other regression equations were developed by modifying Angstrom equation. The results of statistical indicators: Coefficient of Determination (R2), Mean Bias Error (MBE), Root Mean Square Error (RMSE) and Mean Percentage Error (MPE); performed on the model along with practical comparison of the estimated and observed data validate the excellent performance accuracy of the proposed model. The equations with the highest value of coefficient of determination R2 and least value of RMSE, MBE, and MPE are given as: H/Ho= 0.351 + 0.556(S/So) – 0.268(RH/100) and H/Ho= 0.110 + 0.409(S/So) + 0.152(RH/100) for Kano and Oyo respectively, where S/So is the relative sunshine duration and RH is the relative humidity. The models can be used for estimating global solar radiation on horizontal surfaces for places with similar latitudes where radiation data are unavailable. Based on overall results, it was concluded that Sunshine duration and relative humidity are the most appropriate combination of climatic variables suitable for the estimation of global solar radiation in the study areas.
    VL  - 3
    IS  - 1
    ER  - 

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Author Information
  • Department of Physics, Federal University of Agriculture, Makurdi, Nigeria

  • Department of Physics, Federal University of Agriculture, Makurdi, Nigeria

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