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Multivariate Models For Predicting Global Solar Radiation In Jos, Nigeria

Author

Listed:
  • D.O. Akpootu

    (Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria)

  • M. I. Iliyasu

    (Physics Unit, Umaru Ali Shinkafi Polytechnic, Sokoto, Nigeria)

  • B.M. Olomiyesan

    (Examination Development Department, National Examinations Council (NECO))

  • S.A. Fagbemi

    (Department of Physics, Federal University Dutsin-Ma, Katsina, Nigeria)

  • S.B. Sharafa

    (Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria)

  • M. Idris

    (Department of Physics, Bayero University, Kano, Nigeria)

  • Z. Abdullahi

    (Department of Physics, Adamu Augie College of Education, Kebbi State, Nigeria)

  • N.O. Meseke

    (Department of Physics, University of Ilorin, Nigeria)

Abstract

This study developed two to six multivariate regression equations that reliably predict global radiation in Jos (Latitude 9.87 Â°ð ‘ and Longitude 8.75 °ð ¸). Thirty-one years (1980 – 2010) observed monthly mean daily global solar radiation, sunshine hours, maximum and minimum temperatures, cloud cover, rainfall, relative humidity and wind speed data were used in this study with the clearness index as the response variable and other variables as predictors. The seven validation indices employed are the coefficient of determination (R2), Mean Bias Error (MBE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), t – test, Nash – Sutcliffe Equation (NSE) and Index of Agreement (IA) to determine the reliability, suitability and applicability of the developed models. The results in this study revealed that all the developed multivariate models were found reliable for global solar radiation estimation in Jos depending on the obtainable meteorological data measured in the location. The correlation between the measured and predicted (developed) global solar radiation shows a perfect correlation as depicted from the figures.

Suggested Citation

  • D.O. Akpootu & M. I. Iliyasu & B.M. Olomiyesan & S.A. Fagbemi & S.B. Sharafa & M. Idris & Z. Abdullahi & N.O. Meseke, 2022. "Multivariate Models For Predicting Global Solar Radiation In Jos, Nigeria," Matrix Science Mathematic (MSMK), Zibeline International Publishing, vol. 6(1), pages 05-12, July.
    • Handle: RePEc:zib:zbmsmk:v:6:y:2022:i:1:p:05-12
    DOI: 10.26480/msmk.01.2022.05.12
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    References listed on IDEAS

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    1. Almorox, J. & Benito, M. & Hontoria, C., 2005. "Estimation of monthly Angström–Prescott equation coefficients from measured daily data in Toledo, Spain," Renewable Energy, Elsevier, vol. 30(6), pages 931-936.
    2. Despotovic, Milan & Nedic, Vladimir & Despotovic, Danijela & Cvetanovic, Slobodan, 2015. "Review and statistical analysis of different global solar radiation sunshine models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1869-1880.
    3. Freitas, S. & Catita, C. & Redweik, P. & Brito, M.C., 2015. "Modelling solar potential in the urban environment: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 915-931.
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