Solar radiation modelling and measurement techniques in Lafia Zone, Nasarawa state, Nigeria

  • Andah Mamman Department of Physics, Nasarawa State University, Keffi, Nigeria
  • Umaru Ibrahim Department of Physics, Federal University, Lafia, Nigeria
  • Mustapha M. Idris Department of Physics, Federal University of Technology, Minna, Nigeria
  • Abdullahi A. Mundi Department of Physics, Nasarawa State University, Keffi, Nigeria
  • Musa U. Sarki Department of Physics, Federal University of Agriculture, Markudi, Nigeria
Keywords: Solar radiation, Pyranometer, Angstrom-Prescott Regression Equation, and monthly average daily global radiation


The number of solar radiations measuring stations in Nigeria has been observed not to effectively describe the necessary variability; as such prediction models are necessary for estimation of solar radiation values using readily available meteorological variables. In this study, solar radiation parameters were determined for Lafia zone, Nasarawa State, Nigeria. Twelve (12) location were carefully selected to avoid sunshine and wind obstruction using a systematic random sampling technique. Three-hour daily measurement (12.00 pm to 2.00 pm) was done on three 12V, 5W solar panels using a pyranometer and the output was estimated using the Angstrom-Prescott Regression Equation. The continuity in the assembled system was measured using an Avometer. The result revealed that solar radiation intensity was found to range from 165.5 W/m2 to 298.6W/m2 with the mean value of 241.24 W/m2.The highest global solar radiation value of 29.8MJ/m2was observed in April while the lowest value of 16.5MJ/m2was observed in August. The extraterrestrial solar radiation was found to range from 9.06 MJ/m2 in August to 26.60 MJ/m2 in February with average value of 20.96MJ/m2. The atmospheric transmission coefficient over the year is found to range from 0.7 in July and September to 1.4 in December. The obtained atmospheric transmission coefficient determined for the year (2019) is a good indication for solar radiation application in Lafia geo-political zone, Nasarawa State. The performance of the developed model is observed to imply that it can be used to predict global solar radiation for Lafia zone in Nasarawa State.


[1] Pandey C. K. &Katiyar A. K. Solar Radiation: Models and Measurement Techniques. Journal of Energy, 2013, 3(1), 1 – 8.

[2] Adekunle A. O., Emmanuel C. O., Stephen B. O., Olugbenga F. Analysis of Global Solar Irradiance over Climatic Zones in Nigeria for Solar Energy Applications. Journal of Solar Energy, 2015, 5(1), 1-9.

[3] Al-Addous M., Dalala Z., Class C.B., Alawneh F., Al-Taani H. Performance analysis of off-grid PV systems in the Jordan valley. Renew Energy, 2017, 113, 930 – 941.

[4] Ma W.W., Rasul M.G., Liu G., Li M., Tan X.H. Climate change impacts on techno-economic performance of roof PV solar system in Australia. Renew Energy, 2016, 88, 430–438.

[5] Akinyele D.O., Rayudu R.K. Comprehensive techno-economic and environmental impact study of a localised photovoltaic power system (PPS) for off-grid communities. Energy Convers. Manag., 2016, 124, 266–279.

[6] Poudyal K.N., Bhattarai B.K., Sapkota B.K., Kjeldstad B., Karki N.R. Estimation of Global Solar Radiation using Pyranometer and NILU-UV Irradiance Meter at Pokhara Valley in Nepal. Journal of Inst. Eng., 2014, 9, 69–78.

[7]Seaward A. Solar Survey Multifunction Solar Irradiance Meters, 2017. Available online: (accessedon 14 January 2018).

[8] Zeqiang B., Wenhua L., Yizhuo S., Xiaolei H., Wei C. Research on performance test method of silicon pyranometer. In Proceedings of the 2013 IEEE 11th International Conference on Electronic Measurement &Instruments, Harbin, China, 16 – 19, August 2013.

[9] Nagamine F., Shimokawa R., Miyake Y., Nakata M., Fujisawa K. Calibration of Pyranometers for the photovoltaic device field. Japan Journal of Applied Physics, 1990, 29, 516 – 521.

[10] Donatelli M., Bellocchi G., Fontana F. RadEst3.00: software to estimate daily radiation data from commonly available meteorological variables. European Journal of Agronomy, 2003, 18(3-4), 363–367.

[11] Younes S., MuneerT. Improvements in solar radiation models based on cloud data. Building Services Engineering Research and Technology, 2006, 27(1), 41 – 54.

[12] Safi S., ZeroualA., Hassani M. Prediction of global daily solar radiation using higher order statistics. Renewable Energy, 2002, 27 (4), 647–666.

[13] Burari W.F., Sambo S.A. Model for the Prediction of Global Solar Radiation for Bauchi using meteorological data. Renewable Energy, 2001, 9(1&2), 30 – 33.

[14] Adesina M. A., IbrahimJ. S., IortyerH. A. A Simulation Model for Estimating Solar Radiation of Nasarawa, Nasarawa State – Nigeria. British Journal of Applied Science & Technology, 2016, 17(2), 1-8, Article no. BJAST.24603. ISSN: 2231-0843, NLM ID: 101664541.

[15] Binbol, N.L. & Marcus, N.D. Geography of Nasarawa State: A study of Flora and Fauna. Information from Ministry of Agriculture and Natural Resources, Lafia. 2000,

[16] Osueke, C. O & Ezugwu, C. A. K. Study of Nigeria Energy Resources and Its Consumption. International Journal of Scientific & Engineering Research, 2011, 2(10), 210 – 215.

[17] Audu M. O., Utah U. E., Ugwanyi J. U. Estimation of Global Solar Radiation over Makurdi, Nigeria. Asian Journal of Applied Sciences, 2014, 2 (2), 111 – 118.

[18] Auwal, M. & Darma, T. H. Estimation of Global Solar Radiation for Kano State Nigeria Based on Meteorological Data. Journal of Applied Physics, 2014, 6(6), 19 – 23.

[19] Reuben K.U., Ade A.J.F. Nigeria. Encyclopedia Britannica, inc. 2020.
How to Cite
Mamman, A., Ibrahim, U., M. Idris, M., A. Mundi, A., & U. Sarki, M. (2020). Solar radiation modelling and measurement techniques in Lafia Zone, Nasarawa state, Nigeria. EDUCATUM Journal of Science, Mathematics and Technology, 7(1), 48-55. Retrieved from