IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i2p282-d1026086.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/2/282/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/2/282/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. Leilei Meng & Biao Zhang & Kaizhou Gao & Peng Duan, 2022. "An MILP Model for Energy-Conscious Flexible Job Shop Problem with Transportation and Sequence-Dependent Setup Times," Sustainability, MDPI, vol. 15(1), pages 1-14, December.
    2. João M. R. C. Fernandes & Seyed Mahdi Homayouni & Dalila B. M. M. Fontes, 2022. "Energy-Efficient Scheduling in Job Shop Manufacturing Systems: A Literature Review," Sustainability, MDPI, vol. 14(10), pages 1-34, May.
    3. Ruilin Pan & Qiong Wang & Zhenghong Li & Jianhua Cao & Yongjin Zhang, 2022. "Steelmaking-continuous casting scheduling problem with multi-position refining furnaces under time-of-use tariffs," Annals of Operations Research, Springer, vol. 310(1), pages 119-151, March.
    4. Fadl A. Essa & AbdelKader Abdullah & Hasan Sh. Majdi & Ali Basem & Hayder A. Dhahad & Zakaria M. Omara & Suha A. Mohammed & Wissam H. Alawee & Amged Al Ezzi & Talal Yusaf, 2022. "Parameters Affecting the Efficiency of Solar Stills—Recent Review," Sustainability, MDPI, vol. 14(17), pages 1-58, August.
    5. Haoming Liu & Muhammad Yasir Ali Khan & Xiaoling Yuan, 2023. "Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review," Energies, MDPI, vol. 16(15), pages 1-64, July.
    6. Fei Luan & Zongyan Cai & Shuqiang Wu & Shi Qiang Liu & Yixin He, 2019. "Optimizing the Low-Carbon Flexible Job Shop Scheduling Problem with Discrete Whale Optimization Algorithm," Mathematics, MDPI, vol. 7(8), pages 1-17, August.
    7. Hossein Yousefi & Mohamad Aramesh & Bahman Shabani, 2021. "Design Parameters of a Double-Slope Solar Still: Modelling, Sensitivity Analysis, and Optimization," Energies, MDPI, vol. 14(2), pages 1-23, January.
    8. Zhu, Yanlong & Lu, Jie & Yuan, Yuan & Wang, Fuqiang & Tan, Heping, 2020. "Effect of radiation on the effective thermal conductivity of encapsulated capsules containing high-temperature phase change materials," Renewable Energy, Elsevier, vol. 160(C), pages 676-685.
    9. Tomasz Tietze & Piotr Szulc & Daniel Smykowski & Andrzej Sitka & Romuald Redzicki, 2021. "Application of Phase Change Material and Artificial Neural Networks for Smoothing of Heat Flux Fluctuations," Energies, MDPI, vol. 14(12), pages 1-17, June.
    10. Lu Sun & Lin Lin & Haojie Li & Mitsuo Gen, 2019. "Cooperative Co-Evolution Algorithm with an MRF-Based Decomposition Strategy for Stochastic Flexible Job Shop Scheduling," Mathematics, MDPI, vol. 7(4), pages 1-20, March.
    11. Lioua Kolsi & Fatih Selimefendigil & Mohamed Omri, 2021. "Effects of Surface Rotation on the Phase Change Process in a 3D Complex-Shaped Cylindrical Cavity with Ventilation Ports and Installed PCM Packed Bed System during Hybrid Nanofluid Convection," Mathematics, MDPI, vol. 9(20), pages 1-17, October.
    12. Jesus Fernando Hinojosa & Saul Fernando Moreno & Victor Manuel Maytorena, 2023. "Low-Temperature Applications of Phase Change Materials for Energy Storage: A Descriptive Review," Energies, MDPI, vol. 16(7), pages 1-39, March.
    13. Dayong Han & Qiuhua Tang & Zikai Zhang & Zixiang Li, 2020. "An Improved Migrating Birds Optimization Algorithm for a Hybrid Flow Shop Scheduling within Steel Plants," Mathematics, MDPI, vol. 8(10), pages 1-28, September.
    14. Fathy, Ahmed, 2023. "Efficient energy valley optimization approach for reconfiguring thermoelectric generator system under non-uniform heat distribution," Renewable Energy, Elsevier, vol. 217(C).
    15. Milad Shirbani & Majid Siavashi & Mehdi Bidabadi, 2023. "Phase Change Materials Energy Storage Enhancement Schemes and Implementing the Lattice Boltzmann Method for Simulations: A Review," Energies, MDPI, vol. 16(3), pages 1-23, January.
    16. Ewelina Radomska & Lukasz Mika & Karol Sztekler & Wojciech Kalawa, 2021. "Experimental Validation of the Thermal Processes Modeling in a Solar Still," Energies, MDPI, vol. 14(8), pages 1-22, April.
    17. Yıldırım, Erdal & Yurddaş, Ali, 2021. "Assessments of thermal performance of hybrid and mono nanofluid U-tube solar collector system," Renewable Energy, Elsevier, vol. 171(C), pages 1079-1096.
    18. Hegazy Rezk & Magdy M. Zaky & Mohemmed Alhaider & Mohamed A. Tolba, 2022. "Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications," Energies, MDPI, vol. 15(23), pages 1-19, November.
    19. Mahmoud Makkiabadi & Siamak Hoseinzadeh & Meysam Majidi Nezhad & Ali Sohani & Daniele Groppi, 2021. "Techno-Economic Study of a New Hybrid Solar Desalination System for Producing Fresh Water in a Hot–Arid Climate," Sustainability, MDPI, vol. 13(22), pages 1-11, November.
    20. Tuncer, Azim Doğuş & Gürbüz, Emine Yağız & Şahinkesen, İstemihan & Georgiev, Aleksandar & Keçebaş, Ali, 2024. "Passive cooling of photovoltaic panels with latent heat storage unit: Analyzing the effects of using fins and iron nanoparticles on the performance, economy and environmental impact," Energy, Elsevier, vol. 288(C).

    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:jmathe:v:11:y:2023:i:2:p:282-:d:1026086. 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.