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A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays

Author

Listed:
  • Soheil Radfar

    (Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran 14115111, Iran)

  • Roozbeh Panahi

    (Jacobs, Toronto, ON L4G1S1, Canada)

  • Meysam Majidi Nezhad

    (Department of Astronautics, Electrical and Energy Engineering (DIAEE), Sapienza University of Rome, 00184 Rome, Italy)

  • Mehdi Neshat

    (Center for Artificial Intelligence Research and Optimization, Torrens University Australia, Brisbane, QLD 4006, Australia)

Abstract

Due to its high level of consistency and predictability, tidal stream energy is a feasible and promising type of renewable energy for future development and investment. Numerical modeling of tidal farms is a challenging task. Many studies have shown the applicability of the Blade Element Momentum (BEM) method for modeling the interaction of turbines in tidal arrays. Apart from its well-known capabilities, there is a scarcity of research using BEM to model tidal stream energy farms. Therefore, the main aim of this numerical study is to simulate a full-scale array in a real geographical position. A fundamental linear relationship to estimate the power capture of full-scale turbines using available kinetic energy flux is being explored. For this purpose, a real site for developing a tidal farm on the southern coasts of Iran is selected. Then, a numerical methodology is validated and calibrated for the established farm by analyzing an array of turbines. A linear equation is proposed to calculate the tidal power of marine hydrokinetic turbines. The results indicate that the difference between the predicted value and the actual power does not exceed 6%.

Suggested Citation

  • Soheil Radfar & Roozbeh Panahi & Meysam Majidi Nezhad & Mehdi Neshat, 2022. "A Numerical Methodology to Predict the Maximum Power Output of Tidal Stream Arrays," Sustainability, MDPI, vol. 14(3), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1664-:d:739511
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    References listed on IDEAS

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    1. Radfar, Soheil & Panahi, Roozbeh & Javaherchi, Teymour & Filom, Siyavash & Mazyaki, Ahmad Rezaee, 2017. "A comprehensive insight into tidal stream energy farms in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 323-338.
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    Cited by:

    1. Zhou Ye & Wenwei Gu & Qiyan Ji, 2022. "Study on Critical Factors Affecting Tidal Current Energy Exploitation in the Guishan Channel Area of Zhoushan," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    2. Fouz, D.M. & Carballo, R. & López, I. & González, X.P. & Iglesias, G., 2023. "A methodology for cost-effective analysis of hydrokinetic energy projects," Energy, Elsevier, vol. 282(C).
    3. Soheil Radfar & Bijan Kianoush & Meysam Majidi Nezhad & Mehdi Neshat, 2022. "Developing an Extended Virtual Blade Model for Efficient Numerical Modeling of Wind and Tidal Farms," Sustainability, MDPI, vol. 14(21), pages 1-17, October.

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