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MATLAB/Simulink Based Instantaneous Solar Radiation Modeling, Validation and Performance Analysis of Fixed and Tracking Surfaces for the Climatic Conditions of Lahore City, Pakistan

Department of Mechanical Engineering, University of Engineering and Technology Lahore, Pakistan

Received: 1 Jun 2021; Revised: 20 Feb 2022; Accepted: 4 Apr 2022; Available online: 15 Apr 2022; Published: 4 Aug 2022.
Editor(s): Soulayman Soulayman
Open Access Copyright (c) 2022 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Mathematical modeling, simulation and experimental validation of instantaneous solar radiation is conducted in this article. The input parameters of the developed model are solar constant, latitude & longitude of the selected site, collector surface azimuth and elevation angle. The whole model is developed in MATLAB/Simulink and plots global radiation for any selected day of the year. To validate the model, actual data from RETScreen (energy management software) is taken and compared with the predicted data from developed model. During the whole year the predicted specific insolation is 226.65 MJ/m2/day and actual is 202.14 MJ/m2/day. The percentage error of the predicted data is 10.8% higher than the actual data. The validated model is used to calculate the monthly received solar radiation energy for the fixed surface and tracking surface. The yearly harvested solar energy by horizontal, yearly and monthly optimal tilt surfaces are 6828 MJ/m2, 7405 MJ/m2 and 7761 MJ/m2 respectively. Yearly insolation gain of the yearly optimal tilt and monthly optimal tilt collector surface is 8% and 14% as compared to the energy harvested by horizontal surface. For the single and dual axis tracking surfaces, yearly harvested energy is 8843 MJ/m2 and 9374 MJ/m2 respectively and this figure is 30% and 37% more as compared to the horizontal surface. If the insolation received by yearly optimal tilt is considered as reference value, then energy gain for monthly tilt, single and dual axis tracking is recorded as 5%, 19% and 27% respectively

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Keywords: Solar Radiation; Modeling; Performance analysis; Tracking Systems.

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  1. Bakirci, K. (2012). General models for optimum tilt angles of solar panels: Turkey case study. Renewable and Sustainable Energy Reviews 16(8), 6149-6159, DOI:
  2. Benghanem, M. (2011). Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia. Applied Energy 88(4), 1427-1433, DOI:
  3. Budiyanto, M. A. and Lubis, M. H. (2020). Physical reviews of solar radiation models for estimating global solar radiation in Indonesia. Energy Reports 6, 1206-1211, DOI:
  4. Chang, T. P. (2009). Output energy of a photovoltaic module mounted on a single-axis tracking system. Applied Energy 86(10), 2071-2078, DOI:
  5. Chang, Y.-P. (2010). Optimal the tilt angles for photovoltaic modules in Taiwan. International Journal of Electrical Power & Energy Systems 32(9), 956-964, DOI:
  6. Chwieduk, D. A. (2009). Recommendation on modelling of solar energy incident on a building envelope. Renewable Energy 34(3), 736-741, DOI:
  7. Dike, V. N., Chineke, T. C., Nwofor, O. K., and Okoro, U. K. (2012). Optimal angles for harvesting solar electricity in some African cities. Renewable Energy 39(1), 433-439, DOI:
  8. Doorga, J. R. S., Rughooputh, S. D. D. V. and Boojhawon, R. (2019). Modelling the global solar radiation climate of Mauritius using regression techniques. Renewable Energy 131, 861-878, DOI:
  9. Duffie, J. A. and W. A. Beckman (2013). Solar engineering of thermal processes, John Wiley & Sons
  10. Gunerhan, H. and Hepbasli, A. (2007). Determination of the optimum tilt angle of solar collectors for building applications. Building and Environment 42(2), 779-783, DOI:
  11. Hottel, H. C. (1976). A simple model for estimating the transmittance of direct solar radiation through clear atmospheres. Solar Energy 18(2), 129-134, DOI:
  12. Hussein, H. M. S., Ahmad, G.E. and El-Ghetany, H.H. (2004). Performance evaluation of photovoltaic modules at different tilt angles and orientations. Energy Conversion and Management 45(15), 2441-2452, DOI:
  13. Kalogirou, S. A. (2004). Solar thermal collectors and applications. Progress in Energy and Combustion Science 30(3), 231-295, DOI:
  14. Khalid, A. and Junaidi, H. (2013). Study of economic viability of photovoltaic electric power for Quetta – Pakistan." Renewable Energy 50: 253-258, DOI:
  15. Li, D. H. W. and Lam, J.C. (2004). Predicting solar irradiance on inclined surfaces using sky radiance data. Energy Conversion and Management 45(11), 1771-1783, DOI:
  16. Maatallah, T., El Alimi, S., and Nassrallah, S.B. (2011). Performance modeling and investigation of fixed, single and dual-axis tracking photovoltaic panel in Monastir city, Tunisia. Renewable and Sustainable Energy Reviews 15(8): 4053-4066, DOI:
  17. Makade, R. G., Chakrabarti, S., Jamil, B. and Sakhale, C. N. (2020). Estimation of global solar radiation for the tropical wet climatic region of India: A theory of experimentation approach. Renewable Energy 146, 2044-2059, DOI:
  18. Manosroi, W., Prompattra, P., and Kerngburee, P. (2020). Performance improvement of two-axis solar tracking system by using flat-mirror reflectors. Energy Reports 6, 9-14, DOI:
  19. Mellit, A., Kalogirou, S.A., Hontoria, L. and Shaari, S. (2009). Artificial intelligence techniques for sizing photovoltaic systems: A review. Renewable and Sustainable Energy Reviews 13(2), 406-419, DOI:
  20. Meral, M. E. and Dinçer, F. (2011). A review of the factors affecting operation and efficiency of photovoltaic based electricity generation systems. Renewable and Sustainable Energy Reviews 15(5), 2176-2184, DOI:
  21. Mondol, J. D., Yohanis, Y. G. and Norton, B. (2008). Solar radiation modelling for the simulation of photovoltaic systems. Renewable Energy 33(5), 1109-1120, DOI:
  22. Nijegorodov, N.,. Devan, K. R. S., Jain, P. K. and Carlsson, S. (1994). Atmospheric transmittance models and an analytical method to predict the optimum slope of an absorber plate, variously oriented at any latitude. Renewable Energy 4(5), 529-543, DOI:
  23. Rustemli, S., Dincadam, F. and Demirtas, M. (2010). Performance comparison of the sun tracking system and fixed system in the application of heating and lighting. Arabian Journal for Science & Engineering (Springer Science & Business Media BV) 35
  24. Shariah, A., Al-Akhras, M. A. and Al-Omari, I. A. (2002). Optimizing the tilt angle of solar collectors.Renewable Energy 26(4), 587-598, DOI:
  25. Shufat, S. A. A., E. Kurt and A. Hancerlioğulları (2019). Modeling and Design of Azimuth-Altitude Dual Axis Solar Tracker for Maximum Solar Energy Generation. International Journal of Renewable Energy Development, 8(1) 7-13, DOI: 10.14710/ijred.8.1.7-13
  26. Stine, W. and M. Geyer (2001). Power From The Sun.
  27. Wong, J., Bai, F., Saha, T. K. and Tan, R. H. G. (2021). A feasibility study of the 1.5-axis tracking model in utility-scale solar PV plants. Solar Energy 216, 171-179, DOI:
  28. Yıldırım, H. B., Çelik, Ö., Teke, A. and Barutçu, B. (2018). Estimating daily Global solar radiation with graphical user interface in Eastern Mediterranean region of Turkey. Renewable and Sustainable Energy Reviews 82, 1528-1537, DOI:

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