Impact of Metrological Parameters on Solar Radiation in Nigeria

References

[1] Gana, N.N and Akpootu, D.O., (2013). Angstrom Type Empirical Correlation for Estimating Global Solar Radiation in North Eastern Nigeria. International Journal of Engineering and Science, 2: 58-78.

[2] Kimothi, S., Bhattacharya, B.K., Semalty, P.D., Pandey, V.K. and Dadhwal, V.K., (200l). Introduction to Atmospheric Radiation. Academic Press: New York, NY.

[3] Muneer, T., Younes, S. and Munawwar, S., (2007). Discourses on solar radiation modeling. Renewable and Sustainable Energy Reviews, 11(4): 551-602.

[4] Donatelli, M., Bellocchi, G. and Fontana, F., (2003). Software to estimate daily radiation data from commonly available meteorological variables. European Journal of Agronomy, 18 (3-4): 363-267.

[5] Louis, E., (2003). Relationship between Global Solar Radiation and Sunshine Duration for Onne, Nigeria. Turk J Phys'. 27, 161-167.

[6] Bristow K.L, and Campbell G.S. (1984). On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and Forest Meteorology. 31:59 –166.

[7] Prescott, J.A., (1940). Evaporation from water surface in relation to solar radiation. Transactions of the Royal Society of Australia, 46:114-118.

[8] Angstrom, A., (1924). Solar and terrestrial radiation. Quarterly Journal of Royal Meteorological Society, 50: 121-125.

[9] Medugu, D.W. and Yakubu, D., (2011). Estimation of mean monthly global solar radiation in Yola- Nigeria using angstrom model; Advances in Applied Science Research, 2 (2): 414-421.

[10] Duffle, J. A. and Beckman, W. A., (1991). Solar Engineering of Thermal Processes, 2nd edition, New York: Wiley Interscience.

[11] Falayi, E.O., Rabiu, A.B. and Teliat, R.O., (2011). Correlation to estimate monthly mean of daily diffuse solar radiation in some selected cities in Nigeria. Pelagie Research Library, 2(4):480-490.

[12] Akpootu, D. O., and Iliyasu, M. I. (2015). A Comparative Study of some Meteorological Parameters for Predicting Global Solar Radiation in Kano, Nigeria Based on Three Variable Correlations. Advances in Physics Theories and Applications. Vol. 49. 2225-0638.

[13] Igbal, M., (1983). An Introduction to solar radiation. Academic press. New York. 59-67

[14] Akpabio, L. E., Udo S. O. and Etuk S. E., (2004). Empirical correlation of global solar radiation with Meteorological data for Orme, Nigeria. Turkish J. Physics, 28: 222-227.

[15] Chen, C.J., (2011). Physics of Solar Energy, 10th edition. Department of Applied Physics and Applied Mathematics Columbia University: John Wiley & Sons.

@article{1702508,
      author = {Andrew, B.H., Basila A., Tahir M., Ogbaka D. T.},
      title = {Impact of Metrological Parameters on Solar Radiation in Nigeria},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {4},
      number = {4},
      pages = {38-43},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702508.pdf},
      abstract = {The study examined the influence of metrological parameters on solar radiation in Makurdi.  Correlations are developed to predict incident solar radiation at a givenlocation developed based on meteorological parameters. However, all correlations depend on accurate measurement and availability of weather data such as sunshine duration, cloud cover, relative humidity, maximum and minimum temperature which essentially is a costly exercise in terms of equipment and labour. These data include solar radiation, sunshine hour duration, relative humidity, rainfall, cloud cover, maximum and minimum temperatures were analysed using regression techniques of the Angstrom type. The MBE values obtained from the models are positive in some cases and negative in others, which shows that these models vary between under and over estimate of global solar radiation. However, model has the lowest under estimation with a value of -1.03, which is expected and acceptable. A low value of MPE is expected, model 1 was observed to have an MPE value of (-0.074). The results obtained show a remarkable agreement between the measured and the predicted values. The study therefore recommends for designers and engineers of solar energy and other renewable energy devices in this area.},
      keywords = {Global solar radiation, Model, Metrological Parameters Clearness Index},
      month = {October},
  }