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Optimized Single-Axis Schedule Solar Tracker in Different Weather Conditions

Author

Listed:
  • Nurzhigit Kuttybay

    (Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty 050040, Kazakhstan)

  • Ahmet Saymbetov

    (Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty 050040, Kazakhstan)

  • Saad Mekhilef

    (Power Electronics and Renewable Energy Research Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
    School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia
    Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Madiyar Nurgaliyev

    (Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty 050040, Kazakhstan)

  • Didar Tukymbekov

    (Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty 050040, Kazakhstan)

  • Gulbakhar Dosymbetova

    (Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty 050040, Kazakhstan)

  • Aibolat Meiirkhanov

    (Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty 050040, Kazakhstan)

  • Yeldos Svanbayev

    (Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave., Almaty 050040, Kazakhstan)

Abstract

Improving the efficiency of solar panels is the main task of solar energy generation. One of the methods is a solar tracking system. One of the most important parameters of tracking systems is a precise orientation to the Sun. In this paper, the performance of single-axis solar trackers based on schedule and light dependent resistor (LDR) photosensors, as well as a stationary photovoltaic installation in various weather conditions, were compared. A comparative analysis of the operation of a manufactured schedule solar tracker and an LDR solar tracker in different weather conditions was performed; in addition, a simple method for determining the rotation angle of a solar tracker based on the encoder was proposed. Finally, the performance of the manufactured solar trackers was calculated, taking into account various weather conditions for one year. The proposed single-axis solar tracker based on schedule showed better results in cloudy and rainy weather conditions. The obtained results can be used for designing solar trackers in areas with a variable climate.

Suggested Citation

  • Nurzhigit Kuttybay & Ahmet Saymbetov & Saad Mekhilef & Madiyar Nurgaliyev & Didar Tukymbekov & Gulbakhar Dosymbetova & Aibolat Meiirkhanov & Yeldos Svanbayev, 2020. "Optimized Single-Axis Schedule Solar Tracker in Different Weather Conditions," Energies, MDPI, vol. 13(19), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5226-:d:424656
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    References listed on IDEAS

    as
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    Cited by:

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    2. Gulbakhar Dosymbetova & Saad Mekhilef & Ahmet Saymbetov & Madiyar Nurgaliyev & Ainur Kapparova & Sergey Manakov & Sayat Orynbassar & Nurzhigit Kuttybay & Yeldos Svanbayev & Isroil Yuldoshev & Batyrbek, 2022. "Modeling and Simulation of Silicon Solar Cells under Low Concentration Conditions," Energies, MDPI, vol. 15(24), pages 1-17, December.
    3. Paweł Kut & Katarzyna Pietrucha-Urbanik, 2022. "Most Searched Topics in the Scientific Literature on Failures in Photovoltaic Installations," Energies, MDPI, vol. 15(21), pages 1-14, October.
    4. Jamroen, Chaowanan & Fongkerd, Chanon & Krongpha, Wipa & Komkum, Preecha & Pirayawaraporn, Alongkorn & Chindakham, Nachaya, 2021. "A novel UV sensor-based dual-axis solar tracking system: Implementation and performance analysis," Applied Energy, Elsevier, vol. 299(C).
    5. Manoel Henriques de Sá Campos & Chigueru Tiba, 2021. "npTrack: A n-Position Single Axis Solar Tracker Model for Optimized Energy Collection," Energies, MDPI, vol. 14(4), pages 1-13, February.
    6. Tukymbekov, Didar & Saymbetov, Ahmet & Nurgaliyev, Madiyar & Kuttybay, Nurzhigit & Dosymbetova, Gulbakhar & Svanbayev, Yeldos, 2021. "Intelligent autonomous street lighting system based on weather forecast using LSTM," Energy, Elsevier, vol. 231(C).
    7. Mohd Ashraf Zainol Abidin & Muhammad Nasiruddin Mahyuddin & Muhammad Ammirrul Atiqi Mohd Zainuri, 2021. "Solar Photovoltaic Architecture and Agronomic Management in Agrivoltaic System: A Review," Sustainability, MDPI, vol. 13(14), pages 1-27, July.
    8. Paxis Marques João Roque & Shyama P. D. Chowdhury & Zhongjie Huan, 2021. "Improvement of Stand-Alone Solar PV Systems in the Maputo Region by Adapting Necessary Parameters," Energies, MDPI, vol. 14(14), pages 1-18, July.
    9. Bin Huang & Jialiang Huang & Ke Xing & Lida Liao & Peiling Xie & Meng Xiao & Wei Zhao, 2023. "Development of a Solar-Tracking System for Horizontal Single-Axis PV Arrays Using Spatial Projection Analysis," Energies, MDPI, vol. 16(10), pages 1-19, May.
    10. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    11. 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).
    12. Nuttee Thungsuk & Thaweesak Tanaram & Arckarakit Chaithanakulwat & Teerawut Savangboon & Apidat Songruk & Narong Mungkung & Theerapong Maneepen & Somchai Arunrungrusmi & Wittawat Poonthong & Nat Kasay, 2023. "Performance Analysis of Solar Tracking Systems by Five-Position Angles with a Single Axis and Dual Axis," Energies, MDPI, vol. 16(16), pages 1-20, August.

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