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Numerical Simulation and Structure Optimization of Multilayer Metamaterial Plus-Shaped Solar Absorber Design Based on Graphene and SiO 2 Substrate for Renewable Energy Generation

Author

Listed:
  • Haitham Alsaif

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia)

  • Shobhit K. Patel

    (Department of Computer Engineering, Marwadi University, Rajkot 360003, India)

  • Naim Ben Ali

    (Department of Industrial Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia
    Photovoltaic and Semiconductor Materials Laboratory, National Engineering School of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia)

  • Ammar Armghan

    (Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia)

  • Khaled Aliqab

    (Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia)

Abstract

Renewable energy is the energy for future generations as it is clean and widely available. The solar absorber is a sustainable energy source that converts solar energy into heat energy. The structural optimization is analyzed to enhance the absorption of the multilayer design. The proposed efficient solar absorber is made of a multilayer plus-shaped resonator supported by a SiO 2 substrate with a graphene spacer. The multilayer approach is utilized to enhance the absorption of the overall structure. The absorption of the multilayer solar absorber design is presented with AM 1.5 response observing the amount of energy absorbed from solar radiation. The different structural parameters are optimized to obtain the efficiency plus-shaped absorber design. The results of a different angle of incidence clearly show that the absorber is giving high absorption over a wide-angle range. The design results are also being analyzed with other similar works to show the improvement. The proposed absorber with high efficiency will be a good choice for solar thermal energy conversion applications.

Suggested Citation

  • Haitham Alsaif & Shobhit K. Patel & Naim Ben Ali & Ammar Armghan & Khaled Aliqab, 2023. "Numerical Simulation and Structure Optimization of Multilayer Metamaterial Plus-Shaped Solar Absorber Design Based on Graphene and SiO 2 Substrate for Renewable Energy Generation," Mathematics, MDPI, vol. 11(2), pages 1-13, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:282-:d:1026086
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    References listed on IDEAS

    as
    1. Mohammad Reza Safaei & Hamid Reza Goshayeshi & Issa Chaer, 2019. "Solar Still Efficiency Enhancement by Using Graphene Oxide/Paraffin Nano-PCM," Energies, MDPI, vol. 12(10), pages 1-13, May.
    2. Tianhua Jiang & Chao Zhang & Huiqi Zhu & Jiuchun Gu & Guanlong Deng, 2018. "Energy-Efficient Scheduling for a Job Shop Using an Improved Whale Optimization Algorithm," Mathematics, MDPI, vol. 6(11), pages 1-16, October.
    3. Hegazy Rezk & Ziad Mohammed Ali & Omer Abdalla & Obai Younis & Mohamed Ramadan Gomaa & Mauia Hashim, 2019. "Hybrid Moth-Flame Optimization Algorithm and Incremental Conductance for Tracking Maximum Power of Solar PV/Thermoelectric System under Different Conditions," Mathematics, MDPI, vol. 7(10), pages 1-21, September.
    4. Tianhua Jiang & Chao Zhang & Huiqi Zhu & Guanlong Deng, 2018. "Energy-Efficient Scheduling for a Job Shop Using Grey Wolf Optimization Algorithm with Double-Searching Mode," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-12, October.
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