10.1007/s40095-022-00543-z

Conversion of solar irradiance determined by satellite images to electrical energy using photovoltaic technology (a case study of northeastern state (NES) of Nigeria)

  1. Department of Physics, University of Maiduguri,, Maiduguri, NG
  2. Department of Pure and Applied Physic, Adamawa State University, Mubi, NG

Published in Issue 2022-10-01

How to Cite

Salihu, M. K., Danladi, A., & Medugu, D. W. (2022). Conversion of solar irradiance determined by satellite images to electrical energy using photovoltaic technology (a case study of northeastern state (NES) of Nigeria). International Journal of Energy and Environmental Engineering, 14(4 (December 2023). https://doi.org/10.1007/s40095-022-00543-z

Abstract

Abstract This study determined solar irradiance by satellite images and converted it into electrical power using different type’s photovoltaic technology. The process was done using the Aeronautical reconnaissance coverage geographical information system (ArcGIS). The mean annual global solar irradiance were calculated for the entire NES, while ArcGIS weighting overlay was used to determine the suitability area for the conversion. According to the study, Yobe received the higher global solar irradiance with an annual mean value of 2264.69 kWh/m 2 /year, followed by Borno 2244.94 Kwh/m 2 /year, Bauchi 2208.52 Kwh/m 2 /year, Gombe 2167.03 Kwh/m 2 /year Adamawa 2154.93 Kwh/m 2 /year, while Taraba has the least amount of global solar irradiance of 2017.96 kWh/m 2 /year. The suitable areas for Adamawa, Bauchi, Borno, Gombe, Taraba, and Yobe are as follows: 12,042.2, 17,069.1, 39,426.3, and 6755.99 Km 2 , 4924.82, and 23,215.5 Km 2 , respectively. And the electrical energy determined for different types of photovoltaic technology, i.e., Single-crystalline-silicon, Multi-crystalline-silicon, Amorphous-Silicon and Cadmium-Telluride for Adamawa, 194.3 MW, 179.8, 77.73 MW and 140.7 MW, Bauchi 306.4, 283.4, 122.6 and 222.1 MW Borno1101, 1019, 440.5 and 798.5 MW Gombe, 132.2, 122.3, 52.90 and 95.87 MW, Taraba 19.06, 17.63, 7.623 and 13.83 MW, Yobe 623.0, 576.3, 294.2 and 451.7 MW, respectively. It has been concluded that northeast states are blessed with abundant solar irradiance, which is suitable for installing a photovoltaic station, and single crystalline silicon is the best photovoltaic technology.

Keywords

  • Satellite image,
  • Electrical energy,
  • Solar irradiance,
  • And photovoltaic

References

  1. Petty (2006) Sun dog
  2. Lillesand et al. (2008) Wiley
  3. Clifford et al. (2010) SAGE
  4. Oesch (2006) validating satellite observed thermal emission with in-situ measurements over an urban surface (pp. 201-210) https://doi.org/10.1016/j.rse.2006.04.018
  5. Aras et al. (2006) Global solar potential part 1: model development 1(3) (pp. 303-315) https://doi.org/10.1080/15567240500398040
  6. Mekonnen, S.A.: Solar energy assessment in Ethiopia: modelling and measurement. Addis Ababa University (2007)
  7. Poudyal K. N. Bhattarai B. K. Sapkota B. & Kjeldstad B. (2012) Estimating global solar radiation using sunshine duration in Himalaya region research. J. Chem. Sci.
  8. 2
  9. (11):20–25, ISSN 2231–606 Noyes. J. Chem. Sci.
  10. www.isca.in
  11. Besharat et al. (2013) Empirical models for estimating global solar radiation: a review and case study (pp. 798-821) https://doi.org/10.1016/j.rser.2012.12.043
  12. Nnabuchi, M.N, Ekpe, J.E. & Ibeh, G.F.: Estimation of global solar radiation in Onitsha and Calabar using empirical models. Commun. Appl. Sci.
  13. 1
  14. (1):25–37 (2013) ISSN 2201–7372
  15. Yisehak, A.: Comparison of different empirical models in the estimation of mean global solar radiation using Sunshine durations measured at dire Dawa, Ethiopia a project submitted to the Department of physics, college of Natural and Computational Sciences, School of Graduate Studies Haramaya University (2014)
  16. Auwal, M. & Darma, T.H. Estimation of global solar radiation for Kano state Nigeria based on meteorological data IOSR J. Appl. Phys. (IOSR-JAP) e-ISSN: 2278–4861.
  17. 6
  18. (6):19–23
  19. www.iosrjournals.org
  20. Innocentk, A.J, Jacob, O.E, Chibuzo, G.C., James I. Odeh, D.O.: Estimating global solar radiation in Gusau, Nigeria. Int. J. Res. Eng. Technol. (IMPACT: IJRET) 3(2):27–32 (2015) ISSN(E):2321–8843;ISSN(P): 2347–4599
  21. Salah and Saleh (2010) Impact of urban expansion on surface temperature in Baghdad, Iraq using remote sensing and GIS technique Department of Physics, College of Science Al-Nahrain University 13(1) (pp. 48-59) https://doi.org/10.22401/JNUS.13.1.07
  22. Salihu, M. K. Bello Y. I. & Japari A.: Mapping the spatial distribution of spectral radiance over Mubi town using satellite images landsat 7 Etm+ Research journal’s J. Geogr.
  23. 3
  24. (3):1–7 (2016) ISSN 2349–5367
  25. Alhassan A.T., Ali E.J.: Sunshine duration-based models for predicting global solar radiation. UKSim-AMSS 19th International Conference on Modelling & Simulation (2017)
  26. Alkasim, A., Dikko, A.B. & Eyube, E.S.: An empirical model for the estimation of global and diffuse solar radiation over yola, northeastern Nigeria based on air Temperature IJRDO-J. Appl. Sci.
  27. 3
  28. (9):14–24 (2017) ISSN: 2455–6653
  29. Xiao et al. (2007) Topology study of photovoltaic interface for maximum power point tracking 54(3) (pp. 1696-1704) https://doi.org/10.1109/TIE.2007.894732
  30. Mills et al. (2009) The impact of retail rate structures on the economics of commercial photovoltaic systems in California 36(9) (pp. 3266-3277) https://doi.org/10.1016/j.enpol.2008.05.008
  31. Hocaoglu et al. (2009) The effect of model generated solar radiation data usage in hybrid (Wind–PV) sizing studies (pp. 2956-2963) https://doi.org/10.1016/j.enconman.2009.07.011
  32. Zhou et al. (2010) Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems 87(2) (pp. 380-389) https://doi.org/10.1016/j.apenergy.2009.08.012
  33. Parida et al. (2011) A review of solar photovoltaic technologies (pp. 1625-1636) https://doi.org/10.1016/j.rser.2010.11.032
  34. Khan and Ahmad (2012) Estimating global solar radiation using clear sky radiation in Yemen 5(2) (pp. 12-19) https://doi.org/10.25103/jestr.052.03
  35. Gaurav, T., Mohd, I. Raj K.S.: Generation and transmission of electrical power through solar power satellite (SPS) Int. J. Modern Eng. Res. (IJMER)
  36. 3
  37. (1): 595–598 (2013) ISSN: 2249–6645
  38. www.ijmer.com
  39. Saly et al. (2014) Performance and testing of a small roof photovoltaic system 65(7s) (pp. 15-19)
  40. Berrada and Loudiyi (2015) Optimal modeling of energy storage system 5(1) (pp. 71-77) https://doi.org/10.7763/IJMO.2015.V5.439
  41. Sampedro and Gonzalez (2016) Spanish photovoltaic learning curve (pp. 177-183) https://doi.org/10.1093/ijlct/ctu026
  42. Aoun et al. (2017) Performance evaluation: A mono-crystalline photovoltaic module under different weather and sky conditions 7(1) (pp. 292-297)
  43. Medugu and Yakubu (2011) Using angstrom model to estimate mean monthly global solar radiation in Yola (Nigeria) 2(2) (pp. 414-421)
  44. Gastli and Charabi (2011) Solar electricity prospects in Oman using GIS-based solar radiation maps 14(2) (pp. 790-797) https://doi.org/10.1016/j.rser.2009.08.018
  45. National Renewable Energy Laboratory of the USA.
  46. https://www.nrel.gov
  47. . Accessed 20 June 2021
  48. Rahimikhoob (2010) Estimating global solar radiation using artificial neural network and air temperature data in a semi-arid environment 35(9) (pp. 2131-2135) https://doi.org/10.1016/j.renene.2010.01.029