IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2480-d781303.html
   My bibliography  Save this article

Simulators for Designing Energy-Efficient Power Supplies Based on Solar Panels

Author

Listed:
  • Oleg Rekutov

    (Research Institute of Automatics and Electromechanics, Tomsk State University of Control Systems and Radioelectronics, 634034 Tomsk, Russia)

  • Michail Surkov

    (School of Energy and Power Engineering, Division for Power and Electrical Engineering, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia)

  • Danil Lyapunov

    (Research Institute of Automatics and Electromechanics, Tomsk State University of Control Systems and Radioelectronics, 634034 Tomsk, Russia
    School of Energy and Power Engineering, Division for Power and Electrical Engineering, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia)

  • Alexey Muravlev

    (School of Energy and Power Engineering, Division for Power and Electrical Engineering, National Research Tomsk Polytechnic University, 634050 Tomsk, Russia)

  • Alexandra Pravikova

    (Research Institute of Automatics and Electromechanics, Tomsk State University of Control Systems and Radioelectronics, 634034 Tomsk, Russia)

  • Anton Yudintsev

    (Research Institute of Automatics and Electromechanics, Tomsk State University of Control Systems and Radioelectronics, 634034 Tomsk, Russia)

  • Victor Rulevskiy

    (Research Institute of Automatics and Electromechanics, Tomsk State University of Control Systems and Radioelectronics, 634034 Tomsk, Russia)

  • Oleg Bubnov

    (Research Institute of Automatics and Electromechanics, Tomsk State University of Control Systems and Radioelectronics, 634034 Tomsk, Russia)

  • Victor Pchelnikov

    (Research Institute of Automatics and Electromechanics, Tomsk State University of Control Systems and Radioelectronics, 634034 Tomsk, Russia)

Abstract

Boosted interest in highly efficient power supplies based on renewables requires involving simulators during both the designing stage and the testing one. It is especially relevant for the power supplies that operate in the harsh environmental conditions of northern territories and alike. Modern solar panels based on polycrystalline Si and GaAs possess relatively high efficiency and energy output. To save designing time and cost, system developers use simulators for the solar panels coupled with the power converters that stabilize the output parameters and ensure the proper output power quality to supply autonomous objects: namely, private houses, small-power (up to 10 kW) industrial buildings, submersible pumps, and other equipment. It is crucial for the simulator to provide a valid solar panel I-V curve in various modes and under different ambient conditions: namely, the consumed power rating, temperature, solar irradiation, etc. This paper considers a solar panel simulator topology representing one of the state-of-the-art solutions. This solution is based on principles of classical control theory involving a pulse buck converter as an object of control. A mathematical model of the converter was developed. Its realization in MATLAB/Simulink confirmed the adequacy and applicability of both discrete and continuous forms of the model during the design stage. Families of I-V curves for a commercially available solar panel within the temperature range from − 40 to +25 ∘ C were simulated on the model. A prototype of the designed simulator has shown its correspondence to the model in Simulink. The developed simulator allows providing a full-scale simulation of solar panels in various operating modes with the maximum value of the open circuit voltage 60 V and that of the short circuit current 60 A. Issues of statistical processing of experimental data and cognitive visualization of the obtained curves involving the cognitive graphic tool 2-simplex have also been considered within the framework of this research. The simulator designed may serve as a basis for developing a product line of energy-efficient power supplies for autonomous objects based on renewables, including those operating in northern territories.

Suggested Citation

  • Oleg Rekutov & Michail Surkov & Danil Lyapunov & Alexey Muravlev & Alexandra Pravikova & Anton Yudintsev & Victor Rulevskiy & Oleg Bubnov & Victor Pchelnikov, 2022. "Simulators for Designing Energy-Efficient Power Supplies Based on Solar Panels," Energies, MDPI, vol. 15(7), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2480-:d:781303
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2480/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/7/2480/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Janusz Grabara & Arsen Tleppayev & Malika Dabylova & Leonardus W. W. Mihardjo & Zdzisława Dacko-Pikiewicz, 2021. "Empirical Research on the Relationship amongst Renewable Energy Consumption, Economic Growth and Foreign Direct Investment in Kazakhstan and Uzbekistan," Energies, MDPI, vol. 14(2), pages 1-18, January.
    2. Angela Amato & Matteo Bilardo & Enrico Fabrizio & Valentina Serra & Filippo Spertino, 2021. "Energy Evaluation of a PV-Based Test Facility for Assessing Future Self-Sufficient Buildings," Energies, MDPI, vol. 14(2), pages 1-23, January.
    3. Safa Haq & Shuvra Prokash Biswas & Md. Kamal Hosain & Md. Ashib Rahman & Md. Rabiul Islam & Sumaya Jahan, 2021. "A Modular Multilevel Converter with an Advanced PWM Control Technique for Grid-Tied Photovoltaic System," Energies, MDPI, vol. 14(2), pages 1-19, January.
    4. Javier Cubas & Santiago Pindado & Carlos De Manuel, 2014. "Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function," Energies, MDPI, vol. 7(7), pages 1-18, June.
    5. Benjamin Matthiss & Arghavan Momenifarahani & Jann Binder, 2021. "Storage Placement and Sizing in a Distribution Grid with High PV Generation," Energies, MDPI, vol. 14(2), pages 1-10, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gianfranco Di Lorenzo & Erika Stracqualursi & Rodolfo Araneo, 2022. "The Journey Towards the Energy Transition: Perspectives from the International Conference on Environment and Electrical Engineering (EEEIC)," Energies, MDPI, vol. 15(18), pages 1-5, September.
    2. Rui Liang & Xichuan Zheng & Po-Hsun Wang & Jia Liang & Linhui Hu, 2023. "Research Progress of Carbon-Neutral Design for Buildings," Energies, MDPI, vol. 16(16), pages 1-50, August.
    3. Madi, Saida & Kheldoun, Aissa, 2017. "Bond graph based modeling for parameter identification of photovoltaic module," Energy, Elsevier, vol. 141(C), pages 1456-1465.
    4. Santiago Pindado & Carlos Pindado & Javier Cubas, 2017. "Fréchet Distribution Applied to Salary Incomes in Spain from 1999 to 2014. An Engineering Approach to Changes in Salaries’ Distribution," Economies, MDPI, vol. 5(2), pages 1-19, May.
    5. Jakub Jasiński & Mariusz Kozakiewicz & Maciej Sołtysik, 2021. "The Effectiveness of Energy Cooperatives Operating on the Capacity Market," Energies, MDPI, vol. 14(11), pages 1-20, May.
    6. Santiago Pindado & Javier Cubas & Elena Roibás-Millán & Francisco Bugallo-Siegel & Félix Sorribes-Palmer, 2018. "Assessment of Explicit Models for Different Photovoltaic Technologies," Energies, MDPI, vol. 11(6), pages 1-22, May.
    7. Chen, Zhicong & Wu, Lijun & Lin, Peijie & Wu, Yue & Cheng, Shuying, 2016. "Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy," Applied Energy, Elsevier, vol. 182(C), pages 47-57.
    8. Aurel Gontean & Septimiu Lica & Szilard Bularka & Roland Szabo & Dan Lascu, 2017. "A Novel High Accuracy PV Cell Model Including Self Heating and Parameter Variation," Energies, MDPI, vol. 11(1), pages 1-21, December.
    9. Efstratios Batzelis, 2019. "Non-Iterative Methods for the Extraction of the Single-Diode Model Parameters of Photovoltaic Modules: A Review and Comparative Assessment," Energies, MDPI, vol. 12(3), pages 1-26, January.
    10. Iurii Prokazov & Vladimir Gorbanyov & Vadim Samusenkov & Irina Razinkina & Monika Chłąd, 2021. "Assessing the Flexibility of Renewable Energy Multinational Corporations," Energies, MDPI, vol. 14(13), pages 1-19, June.
    11. Cong Khai Dinh & Quang Thanh Ngo & Trung Thanh Nguyen, 2021. "Medium- and High-Tech Export and Renewable Energy Consumption: Non-Linear Evidence from the ASEAN Countries," Energies, MDPI, vol. 14(15), pages 1-16, July.
    12. Mariusz Malinowski, 2021. "“Green Energy” and the Standard of Living of the EU Residents," Energies, MDPI, vol. 14(8), pages 1-35, April.
    13. Louzazni, Mohamed & Al-Dahidi, Sameer, 2021. "Approximation of photovoltaic characteristics curves using Bézier Curve," Renewable Energy, Elsevier, vol. 174(C), pages 715-732.
    14. Pillai, Dhanup S. & Rajasekar, N., 2018. "Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3503-3525.
    15. Paweł Dworak & Andrzej Mrozik & Agata Korzelecka-Orkisz & Adam Tański & Krzysztof Formicki, 2023. "Energy Self-Sufficiency of a Salmonids Breeding Facility in the Recirculating Aquaculture System," Energies, MDPI, vol. 16(6), pages 1-22, March.
    16. Skandalos, Nikolaos & Wang, Meng & Kapsalis, Vasileios & D'Agostino, Delia & Parker, Danny & Bhuvad, Sushant Suresh & Udayraj, & Peng, Jinqing & Karamanis, Dimitris, 2022. "Building PV integration according to regional climate conditions: BIPV regional adaptability extending Köppen-Geiger climate classification against urban and climate-related temperature increases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    17. Ali Abedaljabar Al-Samawi & Hafedh Trabelsi, 2022. "New Nine-Level Cascade Multilevel Inverter with a Minimum Number of Switches for PV Systems," Energies, MDPI, vol. 15(16), pages 1-25, August.
    18. Petru Adrian Cotfas & Daniel Tudor Cotfas & Paul Nicolae Borza & Dezso Sera & Remus Teodorescu, 2018. "Solar Cell Capacitance Determination Based on an RLC Resonant Circuit," Energies, MDPI, vol. 11(3), pages 1-13, March.
    19. Sakib Bin Amin & Yaron Nezleen Amin & Mahatab Kabir Khandaker & Farhan Khan & Faria Manal Rahman, 2022. "Unfolding FDI, Renewable Energy Consumption, and Income Inequality Nexus: Heterogeneous Panel Analysis," Energies, MDPI, vol. 15(14), pages 1-21, July.
    20. Pindado, Santiago & Cubas, Javier, 2017. "Simple mathematical approach to solar cell/panel behavior based on datasheet information," Renewable Energy, Elsevier, vol. 103(C), pages 729-738.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2480-:d:781303. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.