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Modeling of multi-junction photovoltaic cell using MATLAB/Simulink to improve the conversion efficiency

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  • Das, Narottam
  • Wongsodihardjo, Hendy
  • Islam, Syed

Abstract

This paper focuses on modeling of multi-junction solar cell (MJSC) to improve the conversion efficiency using MATLAB/Simulink software. The multi-junction photovoltaic (PV) cell is investigated to obtain its maximum performance compare to the conventional silicon PV cell. MATLAB/Simulink modeled results show that tandem cell can provide almost 3-times maximum power compared to the conventional PV cells. Maximum power point tracker (MPPT) has also been performed to improve the conversion efficiency of the PV systems. The MPPT is able to assist the PV cells to attain more power efficiently and deliver electricity to the grid.

Suggested Citation

  • Das, Narottam & Wongsodihardjo, Hendy & Islam, Syed, 2015. "Modeling of multi-junction photovoltaic cell using MATLAB/Simulink to improve the conversion efficiency," Renewable Energy, Elsevier, vol. 74(C), pages 917-924.
    • Handle: RePEc:eee:renene:v:74:y:2015:i:c:p:917-924
    DOI: 10.1016/j.renene.2014.09.017
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    1. World Bank, 2012. "World Development Indicators 2012," World Bank Publications - Books, The World Bank Group, number 6014.
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    1. Hegazy Rezk & Ahmed Fathy, 2020. "Stochastic Fractal Search Optimization Algorithm Based Global MPPT for Triple-Junction Photovoltaic Solar System," Energies, MDPI, vol. 13(18), pages 1-28, September.
    2. Rajvikram Madurai Elavarasan & Karthikeyan Velmurugan & Umashankar Subramaniam & A Rakesh Kumar & Dhafer Almakhles, 2020. "Experimental Investigations Conducted for the Characteristic Study of OM29 Phase Change Material and Its Incorporation in Photovoltaic Panel," Energies, MDPI, vol. 13(4), pages 1-18, February.
    3. Milad Zeraatpisheh & Reza Arababadi & Mohsen Saffari Pour, 2018. "Economic Analysis for Residential Solar PV Systems Based on Different Demand Charge Tariffs," Energies, MDPI, vol. 11(12), pages 1-19, November.
    4. Fathy, Ahmed & Elaziz, Mohamed Abd & Sayed, Enas Taha & Olabi, A.G. & Rezk, Hegazy, 2019. "Optimal parameter identification of triple-junction photovoltaic panel based on enhanced moth search algorithm," Energy, Elsevier, vol. 188(C).
    5. Dehghanzadeh, Ahmad & Farahani, Gholamreza & Maboodi, Mohsen, 2017. "A novel approximate explicit double-diode model of solar cells for use in simulation studies," Renewable Energy, Elsevier, vol. 103(C), pages 468-477.
    6. Andrés Tobón & Julián Peláez-Restrepo & Juan P. Villegas-Ceballos & Sergio Ignacio Serna-Garcés & Jorge Herrera & Asier Ibeas, 2017. "Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods," Energies, MDPI, vol. 10(9), pages 1-15, September.
    7. Jordehi, A. Rezaee, 2016. "Parameter estimation of solar photovoltaic (PV) cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 354-371.
    8. Camdali, Unal & Bulut, Murat & Sozbir, Nedim, 2015. "Numerical modeling of a ground source heat pump: The Bolu case," Renewable Energy, Elsevier, vol. 83(C), pages 352-361.
    9. Mohammed H. Alsharif, 2017. "Techno-Economic Evaluation of a Stand-Alone Power System Based on Solar Power/Batteries for Global System for Mobile Communications Base Stations," Energies, MDPI, vol. 10(3), pages 1-20, March.
    10. Eduardo Manuel Godinho Rodrigues & Radu Godina & Mousa Marzband & Edris Pouresmaeil, 2018. "Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity," Energies, MDPI, vol. 11(11), pages 1-21, October.
    11. 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.
    12. Shahzadi Tayyaba & Muhammad Waseem Ashraf & Muhammad Imran Tariq & Maham Akhlaq & Valentina Emilia Balas & Ning Wang & Marius M. Balas, 2020. "Simulation, Analysis, and Characterization of Calcium-Doped ZnO Nanostructures for Dye-Sensitized Solar Cells," Energies, MDPI, vol. 13(18), pages 1-14, September.
    13. Zulfiqar Ali & Syed Zagam Abbas & Anzar Mahmood & Syed Wajahat Ali & Syed Bilal Javed & Chun-Lien Su, 2023. "A Study of a Generalized Photovoltaic System with MPPT Using Perturb and Observer Algorithms under Varying Conditions," Energies, MDPI, vol. 16(9), pages 1-21, April.

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