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Design, modeling and testing of a standalone single axis active solar tracker using MATLAB/Simulink

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  • Chin, C.S.
  • Babu, A.
  • McBride, W.

Abstract

This paper presents the design, modeling and testing of an active single axis solar tracker. The compactness of the proposed solar tracker enables it to be mounted onto the wall. The solar irradiance is detected by two light-dependent resistor (LDR) sensors that are located on the surface of the photovoltaic (PV) panel. The smart tracker system operates at different modes to provide flexibility to accommodate different weather conditions and preference for different users. The PV panel rotates automatically based on the sun irradiance during the day while at night; the system is in ‘sleep’ mode in order to reduce the energy consumption. A computer model of the standalone solar tracker system is first modeled using MATLAB™/Simulink™. The efficiency over the fixed solar panel, the power generated and the types of PV systems to achieve the required level of efficiency can be determined before actual implementation. The experimental testing shows some agreement with the simulation results.

Suggested Citation

  • Chin, C.S. & Babu, A. & McBride, W., 2011. "Design, modeling and testing of a standalone single axis active solar tracker using MATLAB/Simulink," Renewable Energy, Elsevier, vol. 36(11), pages 3075-3090.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:11:p:3075-3090
    DOI: 10.1016/j.renene.2011.03.026
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    References listed on IDEAS

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    Cited by:

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    12. Nsengiyumva, Walter & Chen, Shi Guo & Hu, Lihua & Chen, Xueyong, 2018. "Recent advancements and challenges in Solar Tracking Systems (STS): A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 250-279.
    13. Fabio Ricco Galluzzo & Pier Enrico Zani & Marina Foti & Andrea Canino & Cosimo Gerardi & Salvatore Lombardo, 2020. "Numerical Modeling of Bifacial PV String Performance: Perimeter Effect and Influence of Uniaxial Solar Trackers," Energies, MDPI, vol. 13(4), pages 1-18, February.
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    15. Yao, Yingxue & Hu, Yeguang & Gao, Shengdong & Yang, Gang & Du, Jinguang, 2014. "A multipurpose dual-axis solar tracker with two tracking strategies," Renewable Energy, Elsevier, vol. 72(C), pages 88-98.
    16. Sivakumar, P. & Arutchelvi, M., 2017. "Maximum power extractions in a single stage PV sourced grid connected inverter during low irradiations and nonlinear loads," Renewable Energy, Elsevier, vol. 107(C), pages 262-270.
    17. Bahrami, Milad & Gavagsaz-Ghoachani, Roghayeh & Zandi, Majid & Phattanasak, Matheepot & Maranzanaa, Gaël & Nahid-Mobarakeh, Babak & Pierfederici, Serge & Meibody-Tabar, Farid, 2019. "Hybrid maximum power point tracking algorithm with improved dynamic performance," Renewable Energy, Elsevier, vol. 130(C), pages 982-991.
    18. Pirayawaraporn, Alongkorn & Sappaniran, Sahapol & Nooraksa, Sarawin & Prommai, Chanon & Chindakham, Nachaya & Jamroen, Chaowanan, 2023. "Innovative sensorless dual-axis solar tracking system using particle filter," Applied Energy, Elsevier, vol. 338(C).
    19. Motiei, P. & Yaghoubi, M. & GoshtashbiRad, E. & Vadiee, A., 2018. "Two-dimensional unsteady state performance analysis of a hybrid photovoltaic-thermoelectric generator," Renewable Energy, Elsevier, vol. 119(C), pages 551-565.

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