DESIGN AND ASSESSMENT OF LOW-COST DUAL AXIS SOLAR TRACKING SYSTEMS FOR MAXIMUM SOLAR PHOTOVOLTAIC POWER EXTRACTION

Authors

Keywords:

Dual Axis Solar Tracking System, Photovoltaic power optimization, Microcontroller-based solar tracker, Renewable energy efficiency

Abstract

A microcontroller-based dual axis solar tracking system is presented and implemented using computational algorithm. The experiment is conducted in two different test days; test day1 28th April 2020 and test day2 29th May 2020 for the evaluation of data collected in Zaria-Nigeria in a site located at 11.092 o N Latitude, 7.72o longitude. The panel is fixed at inclination of the site’s latitude with respect to the horizon on the northern hemisphere facing south. Whereas the automatic tracking mechanism is allowed to track the sun’s trajectory automatically in one axis (single axis) and two axes (dual axis). Radiation intensity sensors circuit is designed using Light Dependent Resistors (LDR) and Microcontroller on which the tracking algorithm was compiled. Iterative method based on Newton-Raphson is used to characterize the Photovoltaic (PV) panel. The study shows that the single axis generated 34.8% and 26.2% average increase in efficiency than that of the fixed mount for the test day 1 and test day 2 respectively. While the dual axis has 42.5% and 32.5% more than that of the fixed mount respectively for the test day 1 and test day 2. The daily average power calculated for dual axis produced more power than that of the single axis as well as that of the fixed mount system. The hardware chosen are of low-cost, versatile and simple to use. This automatic dual axis tracking topology can help to improve optimum power generation and management system.

Dimensions

Abdo, A., Ookawara, S., & Ahmed, M. (2019). Performance evaluation of a new design of concentrator photovoltaic and solar thermoelectric generator hybrid system. Energy Conversion and Management, 195(April), 1382–1401. https://doi.org/10.1016/j.enconman.2019.04.093

Abdollahpour, M., Golzarian, M. R., & Rohani, A. (2018). Development of a machine vision dual-axis solar tracking system. Solar Energy, 169(February), 136–143. https://doi.org/10.1016/j.solener.2018.03.059

Abdul-Jaleel, J., Nazar, A., & Omega, A. R. (2012). Simulation on Maximum Power Point Tracking of the Photovoltaic Module using LabVIEW. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 1(3), 190–199.

Ali, M. H., & Yusuf, A. (2017). Comparative Study of Parameter Extraction and Estimation Based on The PV Module outdoor Performance Using Differential Evolution, Lambert W Function and Iterative Technique. Journal of Nigerian Institute of Physics., 27(2).

Amadi, H. N., & Gutiérrez, S. (2019). Design and Performance Evaluation of a Dual-Axis Solar Tracking System for Rural Applications. EJECE, European Journal of Electrical and Computer Engineering, 3(1), 1–6. https://doi.org/10.24018/ejece.2019.3.1.52

Bouraiou, A., Hamouda, M., Chaker, A., & Sadok, M. (2015). Modeling and Simulation of Photovoltaic Module and Array based on One and Two Diode Model Using Matlab / Simulink. Energy Procedia, 74, 864–877. https://doi.org/10.1016/j.egypro.2015.07.822

Chouder, A., Silvestre, S., Sadaoui, N., & Rahmani, L. (2012). Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters. Simulation Modelling Practice and Theory, 20(1), 46–58. https://doi.org/10.1016/j.simpat.2011.08.011

Hasan, M. A., & Parida, S. K. (2016). An overview of solar photovoltaic panel modeling based on analytical and experimental viewpoint. Renewable and Sustainable Energy Reviews, 60, 75–83. https://doi.org/10.1016/j.rser.2016.01.087

Ishaque, K., Salam, Z., Mekhilef, S., & Shamsudin, A. (2012). Parameter extraction of solar photovoltaic modules using penalty-based differential evolution. Applied Energy, 99, 297–308. https://doi.org/10.1016/j.apenergy.2012.05.017

Jack, V., Salam, Z., & Ishaque, K. (2015). Cell modelling and model parameters estimation techniques for photovoltaic simulator application : A review. Applied Energy, 154, 500–519. https://doi.org/10.1016/j.apenergy.2015.05.035

Kalpana, C., Babu, C. S., & Kumari, J. S. (2013). Design and Implementation of different MPPT Algorithms for PV System. International Journal of Science, Engineering and Technology Research (IJSETR), 2(10), 1926–1933.

Kelley, C. T. (1995). Iterative Methods for Linear and Nonlinear Equations. Society for Industrial and Applied Mathematics. http://www.ec-securehost.com/SIAM/FR16.html.

Marques, C., Fuinhas, J. A., & Menegaki, A. N. (2016). Renewable vs non-renewable electricity and the industrial production nexus : Evidence from an ARDL bounds test approach for Greece. Renewable Energy, 96, 645–655. https://doi.org/10.1016/j.renene.2016.05.033

Mohammed, S. S. (2011). Modeling and Simulation of Photovoltaic module using MATLAB/Simulink. International Journal of Chemical and Environmental Engineering, 2(5), 350–355.

Motahhir, S., Hammoumi, A. E. L., Ghzizal, A. E. L., & Derouich, A. (2019). Open hardware / software test bench for solar tracker with virtual instrumentation. Sustainable Energy Technologies and Assessments, 31(January 2018), 9–16. https://doi.org/10.1016/j.seta.2018.11.003

Murad, I. K. (2019). Efficiency of Synchronous and Asynchronous Buck- Converter at Low Output Current . Journal of University of Babylon for Engineering Sciences, 27(2), 194–206.

Nayak, A. K., Vijayvargiya, A., Goyal, K., Sharma, G., & Trivedi, K. (2018). Solar Tracking Methodologies for PV Panels. 4(4), 226–230.

Obbadi, A., Errami, Y., El, A., & Agunaou, M. (2016). Parameter estimation of photovoltaic modules using iterative method and the Lambert W function : A comparative study. ENERGY CONVERSION AND MANAGEMENT, 119, 37–48. https://doi.org/10.1016/j.enconman.2016.04.030

Reis, L. R. D., Camacho, J. R., & Novacki, D. F. (2017). The Newton Raphson Method in the Extraction of Parameters of PV Modules. Journal of Renewable Energies and Power Quality (ICREPQ’17) Malaga (Spain), 4th to 6th April, 2017, 1(15), 634–639. https://doi.org/doi.org/10.24084/repqj15.416

Saloux, E., & Teyssedou, A. (2011). Explicit model of photovoltaic panels to determine voltages and currents at the maximum power point. SOLAR ENERGY, 85, 713–722. https://doi.org/10.1016/j.solener.2010.12.022

Sethi, V. P., Sumathy, K., Yuvarajan, S., & Pal, D. S. (2012). Mathematical Model for Computing Maximum Power Output of a PV Solar Module and Experimental Validation. Journal of Fundamentals of Renewable Energy and Applications, 2. https://doi.org/10.4303/jfrea/R120312

Singh, S., & Gupta, D. K. (2015). Higher order interval iterative methods for nonlinear equations. J. Appl. Math. & Informatics, 33(1–2), 61–76. https://doi.org/dx.doi.org/10.14317/jami.2015.061

Solanki, P. P., & Malviya, A. (2016). Photogalvanics : A sustainable and promising device for solar energy conversion and storage. Renewable and Sustainable Energy Reviews, 59, 662–691. https://doi.org/10.1016/j.rser.2015.12.295

Wang, W., Cionca, V., Wang, N., Hayes, M., Flynn, B. O., & Mathuna, C. O. (2013). Thermoelectric Energy Harvesting for Building Energy Management Wireless Sensor Networks. International Journal OfDistributed Sensor Networks, 2013. https://doi.org/10.1155/2013/232438

Yusuf, I., & Ali, M. H. (2016). Dynamic Estimation of Photovoltaic module Parameters using Differential Evolution. Bayero Journal of Physics and Mathematical Sciences, 7(1), 170–181.

Published

28-09-2025

How to Cite

DESIGN AND ASSESSMENT OF LOW-COST DUAL AXIS SOLAR TRACKING SYSTEMS FOR MAXIMUM SOLAR PHOTOVOLTAIC POWER EXTRACTION. (2025). FUDMA JOURNAL OF SCIENCES, 9(9), 380-388. https://doi.org/10.33003/fjs-2025-0909-4041

How to Cite

DESIGN AND ASSESSMENT OF LOW-COST DUAL AXIS SOLAR TRACKING SYSTEMS FOR MAXIMUM SOLAR PHOTOVOLTAIC POWER EXTRACTION. (2025). FUDMA JOURNAL OF SCIENCES, 9(9), 380-388. https://doi.org/10.33003/fjs-2025-0909-4041

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