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Probability Distributional Analysis of Hourly Solar Irradiation in Kumasi-Ghana

Author

Listed:
  • Yarhands Dissou Arthur.

    (Department of Computer Science,Christian Service University College,Kumasi-Ghana.)

  • Kwasi Baah Gyamfi

    (Department of Mathematics,Kwame Nkrumah University of Science and Technology-Kumasi)

  • S.K Appiah

    (Department of Mathematics,Kwame Nkrumah University of Science and Technology-Kumasi)

Abstract

The probability distribution of hourly solar irradiation for Kumasi –Ghana was conducted using 14 years of data of measured values by the KNUST SOLAR LABORATORY. The analysis was carried out to find out the probability distributions that best fit the data of a given month of the year. The analysis conducted, revealed that solar irradiation for January, March and May can be fitted with the lognormal probability distribution. The month of April can be fitted with the Exponential, Weibull, lognormal Geometric and Gamma distribution while the months of June to December can be fitted with Exponential, Weibull, Geometric and Gamma. The paper finally concludes that the solar irradiation distribution in Ghana is not normally distributed with the above mentioned distribution describing the respective month of the year.

Suggested Citation

  • Yarhands Dissou Arthur. & Kwasi Baah Gyamfi & S.K Appiah, 2013. "Probability Distributional Analysis of Hourly Solar Irradiation in Kumasi-Ghana," International Journal of Business and Social Research, LAR Center Press, vol. 3(3), pages 63-75, March.
    • Handle: RePEc:lrc:larijb:v:3:y:2013:i:3:p:63-75
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    Cited by:

    1. Cheema, Armaghan & Shaaban, M.F. & Ismail, Mahmoud H., 2021. "A novel stochastic dynamic modeling for photovoltaic systems considering dust and cleaning," Applied Energy, Elsevier, vol. 300(C).
    2. Sylwester Kaczmarzewski & Piotr Olczak & Maciej Sołtysik, 2021. "The Impact of Electricity Consumption Profile in Underground Mines to Cooperate with RES," Energies, MDPI, vol. 14(18), pages 1-20, September.

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