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Complex Positioning System for the Control and Visualization of Photovoltaic Systems

Author

Listed:
  • Filip Žemla

    (Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, 841 04 Bratislava, Slovakia)

  • Ján Cigánek

    (Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, 841 04 Bratislava, Slovakia)

  • Danica Rosinová

    (Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, 841 04 Bratislava, Slovakia)

  • Erik Kučera

    (Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, 841 04 Bratislava, Slovakia)

  • Oto Haffner

    (Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, 841 04 Bratislava, Slovakia)

Abstract

This paper presents a proposal of a complex mechatronic system that enhances the effectivity of obtaining energy from renewable resources. The main focus is on the photovoltaic energy system, which obtains electricity from the conversion of solar radiation through photovoltaic crystalline silicon-based panels. The design of the complex mechatronic system consists of several steps. The structural design of the photovoltaic panel positioning unit in the form of a three-dimensional model is made in the selected modelling programming environment. Subsequently, a propulsion system is proposed for the designed structure, the functionality of which is verified in the programming environment Automated Dynamic Analysis of Mechanical Systems. The control system design using a programmable logical controller is also presented. The corresponding control algorithm is designed in the programming environment Step7 and covers the optimal positioning of photovoltaic panels. The developed application in the WinCC environment provides a visualization of the positioning control process. The conclusion is devoted to the assessment of the obtained results for the proposed complex mechatronic system for photovoltaic panel positioning in comparison with photovoltaic panels in fixed installation. The presented results were obtained by simulations.

Suggested Citation

  • Filip Žemla & Ján Cigánek & Danica Rosinová & Erik Kučera & Oto Haffner, 2023. "Complex Positioning System for the Control and Visualization of Photovoltaic Systems," Energies, MDPI, vol. 16(10), pages 1-31, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4001-:d:1143115
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    References listed on IDEAS

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    1. Saravanan, S. & Ramesh Babu, N., 2016. "Maximum power point tracking algorithms for photovoltaic system – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 192-204.
    2. Karakaya, Emrah, 2016. "Finite Element Method for forecasting the diffusion of photovoltaic systems: Why and how?," Applied Energy, Elsevier, vol. 163(C), pages 464-475.
    3. Sebastijan Seme & Bojan Štumberger & Miralem Hadžiselimović & Klemen Sredenšek, 2020. "Solar Photovoltaic Tracking Systems for Electricity Generation: A Review," Energies, MDPI, vol. 13(16), pages 1-24, August.
    4. Nijegorodov, N. & Luhanga, P.V.C., 1996. "Air mass: Analytical and empirical treatment; an improved formula for air mass," Renewable Energy, Elsevier, vol. 7(1), pages 57-65.
    5. Al-Mohamad, Ali, 2004. "Efficiency improvements of photo-voltaic panels using a Sun-tracking system," Applied Energy, Elsevier, vol. 79(3), pages 345-354, November.
    6. dos Santos, L.L.C. & Canha, L.N. & Bernardon, D.P., 2018. "Projection of the diffusion of photovoltaic systems in residential low voltage consumers," Renewable Energy, Elsevier, vol. 116(PA), pages 384-401.
    7. Haitham M. Bahaidarah & Bilal Tanweer & Palanichamy Gandhidasan & Shafiqur Rehman, 2015. "A Combined Optical, Thermal and Electrical Performance Study of a V-Trough PV System—Experimental and Analytical Investigations," Energies, MDPI, vol. 8(4), pages 1-25, April.
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