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Performance enhancement of a Wells turbine using CFD-optimization algorithms coupling

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  • Kotb, Ahmed T.M.
  • Nawar, Mohamed A.A.
  • Attai, Youssef A.
  • Mohamed, Mohamed H.

Abstract

Wells turbine is a popular device for converting wave energy. The current work aims to maximize the power a Wells turbine generates using a response surface optimization method based on computational fluid dynamics (CFD). The ANSYS software's response surface optimization toolbox was employed in this investigation. The Wells turbine received a performance boost using the variable tip clearance design. Input parameters for the optimization technique included two variable tip clearance design parameters. The major objective of the optimization process was to maximize the torque coefficient (CT) of the Wells turbine. The results showed that the optimal design boosted the average and maximum torque coefficients of the modified Wells turbine by 37.31% and 76.16%, respectively.

Suggested Citation

  • Kotb, Ahmed T.M. & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Mohamed H., 2023. "Performance enhancement of a Wells turbine using CFD-optimization algorithms coupling," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223023563
    DOI: 10.1016/j.energy.2023.128962
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    References listed on IDEAS

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    1. Halder, Paresh & Samad, Abdus & Kim, Jin-Hyuk & Choi, Young-Seok, 2015. "High performance ocean energy harvesting turbine design–A new casing treatment scheme," Energy, Elsevier, vol. 86(C), pages 219-231.
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    Cited by:

    1. Yang, Lisheng & Huang, Jianuo & Mi, Jia & Hajj, Muhammad & Bacelli, Giorgio & Zuo, Lei, 2024. "Control-inspired design and power optimization of an active mechanical motion rectifier based power takeoff for wave energy converters," Renewable Energy, Elsevier, vol. 228(C).
    2. Kotb, Ahmed T.M. & Nawar, Mohamed A.A. & Attai, Youssef A. & Mohamed, Mohamed H., 2024. "Impact of tapered leading-edge micro-cylinder on the performance of wells turbine for wave energy conversion: CFD-optimization algorithms coupling study," Energy, Elsevier, vol. 293(C).

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