IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p204-d1014255.html
   My bibliography  Save this article

Design and CFD Analysis of the Energy Efficiency of a Point Wave Energy Converter Using Passive Morphing Blades

Author

Listed:
  • Changlei Wang

    (College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

  • Zirong Luo

    (College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

  • Zhongyue Lu

    (College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

  • Jianzhong Shang

    (College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

  • Mangkuan Wang

    (College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

  • Yiming Zhu

    (College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China)

Abstract

A wave energy converter features the ability to convert wave energy into the electrical energy required by unmanned devices, and its energy-conversion efficiency is an essential aspect in practical applications. This paper proposes a novel point-absorption wave energy converter with passive morphing blades to meet the demand for improved energy-conversion efficiency. We first introduce its concept and design, with its blades forming their shape by adaptive changes with the direction of the water flow. Next, the three-dimensional geometrical-morphing model, energy-conversion model, and energy-conversion-efficiency model of the wave energy converter were established. Then, the CFD model was built to optimize the design parameters, and the simulation results revealed that the maximum conversion efficiency can be obtained at 90% solidity with 10 blades, a 40–60% load, and 20~25 degrees for the external deflection angle. The simulations also showed that the passive morphing-blade group provides ~40% higher torque and ~60% higher hydraulic efficiency than the flat-blade group.

Suggested Citation

  • Changlei Wang & Zirong Luo & Zhongyue Lu & Jianzhong Shang & Mangkuan Wang & Yiming Zhu, 2022. "Design and CFD Analysis of the Energy Efficiency of a Point Wave Energy Converter Using Passive Morphing Blades," Energies, MDPI, vol. 16(1), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:204-:d:1014255
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/204/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/1/204/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Al Shami, Elie & Wang, Xu & Zhang, Ran & Zuo, Lei, 2019. "A parameter study and optimization of two body wave energy converters," Renewable Energy, Elsevier, vol. 131(C), pages 1-13.
    2. Abdelkhalik, Ossama & Zou, Shangyan, 2019. "Control of small two-body heaving wave energy converters for ocean measurement applications," Renewable Energy, Elsevier, vol. 132(C), pages 587-595.
    3. Chongfei Sun & Zirong Luo & Jianzhong Shang & Zhongyue Lu & Yiming Zhu & Guoheng Wu, 2018. "Design and Numerical Analysis of a Novel Counter-Rotating Self-Adaptable Wave Energy Converter Based on CFD Technology," Energies, MDPI, vol. 11(4), pages 1-21, March.
    4. Xuemin Ye & Fuwei Fan & Ruixing Zhang & Chunxi Li, 2019. "Prediction of Performance of a Variable-Pitch Axial Fan with Forward-Skewed Blades," Energies, MDPI, vol. 12(12), pages 1-20, June.
    5. Tiron, Roxana & Mallon, Fionn & Dias, Frédéric & Reynaud, Emmanuel G., 2015. "The challenging life of wave energy devices at sea: A few points to consider," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1263-1272.
    6. Zhang, Yongxing & Zhao, Yongjie & Sun, Wei & Li, Jiaxuan, 2021. "Ocean wave energy converters: Technical principle, device realization, and performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    7. Setoguchi, T & Santhakumar, S & Maeda, H & Takao, M & Kaneko, K, 2001. "A review of impulse turbines for wave energy conversion," Renewable Energy, Elsevier, vol. 23(2), pages 261-292.
    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. Wang, Mangkuan & Shang, Jianzhong & Luo, Zirong & Lu, Zhongyue & Yao, Ganzhou, 2023. "Theoretical and numerical studies on improving absorption power of multi-body wave energy convert device with nonlinear bistable structure," Energy, Elsevier, vol. 282(C).
    2. Xiao, Han & Liu, Zhenwei & Zhang, Ran & Kelham, Andrew & Xu, Xiangyang & Wang, Xu, 2021. "Study of a novel rotational speed amplified dual turbine wheel wave energy converter," Applied Energy, Elsevier, vol. 301(C).
    3. Li, Demin & Sharma, Sanjay & Borthwick, Alistair G.L. & Huang, Heao & Dong, Xiaochen & Li, Yanni & Shi, Hongda, 2023. "Experimental study of a floating two-body wave energy converter," Renewable Energy, Elsevier, vol. 218(C).
    4. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    5. Mahmoodi, Kumars & Ghassemi, Hassan & Razminia, Abolhassan, 2020. "Performance assessment of a two-body wave energy converter based on the Persian Gulf wave climate," Renewable Energy, Elsevier, vol. 159(C), pages 519-537.
    6. Yao, Ganzhou & Luo, Zirong & Lu, Zhongyue & Wang, Mangkuan & Shang, Jianzhong & Guerrerob, Josep M., 2023. "Unlocking the potential of wave energy conversion: A comprehensive evaluation of advanced maximum power point tracking techniques and hybrid strategies for sustainable energy harvesting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    7. Al Shami, Elie & Wang, Zhun & Wang, Xu, 2021. "Non-linear dynamic simulations of two-body wave energy converters via identification of viscous drag coefficients of different shapes of the submerged body based on numerical wave tank CFD simulation," Renewable Energy, Elsevier, vol. 179(C), pages 983-997.
    8. Guo, Peng & Zhang, Yongliang & Chen, Wenchuang, 2023. "Numerical analysis on a self-rectifying impulse turbine with U-shaped duct for oscillating water column wave energy conversion," Energy, Elsevier, vol. 274(C).
    9. Licheri, Fabio & Ghisu, Tiziano & Cambuli, Francesco & Puddu, Pierpaolo, 2022. "Detailed investigation of the local flow-field in a Wells turbine coupled to an OWC simulator," Renewable Energy, Elsevier, vol. 197(C), pages 583-593.
    10. Guo, Peng & Zhang, Yongliang & Chen, Wenchuang & Wang, Chen, 2024. "Fully coupled simulation of dynamic characteristics of a backward bent duct buoy oscillating water column wave energy converter," Energy, Elsevier, vol. 294(C).
    11. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    12. Shadmani, Alireza & Nikoo, Mohammad Reza & Gandomi, Amir H. & Chen, Mingjie & Nazari, Rouzbeh, 2024. "Advancements in optimizing wave energy converter geometry utilizing metaheuristic algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    13. Alves, João S. & Gato, Luís M.C. & Falcão, António F.O. & Henriques, João C.C., 2021. "Experimental investigation on performance improvement by mid-plane guide-vanes in a biplane-rotor Wells turbine for wave energy conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    14. Yu, Tongshun & Chen, Xingyu & Tang, Yuying & Wang, Junrong & Wang, Yuqiao & Huang, Shuting, 2023. "Numerical modelling of wave run-up heights and loads on multi-degree-of-freedom buoy wave energy converters," Applied Energy, Elsevier, vol. 344(C).
    15. Ángel M. Costa & Rebeca Bouzón & Diego Vergara & José A. Orosa, 2019. "Eco-friendly Pressure Drop Dehumidifier: An Experimental and Numerical Analysis," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
    16. Rahimi, Amir & Rezaei, Saeed & Parvizian, Jamshid & Mansourzadeh, Shahriar & Lund, Jorrid & Hssini, Radhouane & Düster, Alexander, 2022. "Numerical and experimental study of the hydrodynamic coefficients and power absorption of a two-body point absorber wave energy converter," Renewable Energy, Elsevier, vol. 201(P1), pages 181-193.
    17. Adriano Silva Bastos & Tâmara Rita Costa de Souza & Dieimys Santos Ribeiro & Mirian de Lourdes Noronha Motta Melo & Carlos Barreira Martinez, 2023. "Wave Energy Generation in Brazil: A Georeferenced Oscillating Water Column Inventory," Energies, MDPI, vol. 16(8), pages 1-24, April.
    18. Bonovas, Markos I. & Anagnostopoulos, Ioannis S., 2020. "Modelling of operation and optimum design of a wave power take-off system with energy storage," Renewable Energy, Elsevier, vol. 147(P1), pages 502-514.
    19. Xiao, Han & Wang, Xu, 2024. "Sensitivity analysis of design parameters and their interactions and performance prediction of a novel twin turbine wave energy converter," Energy, Elsevier, vol. 293(C).
    20. Asai, Takehiko & Sugiura, Keita, 2021. "Numerical evaluation of a two-body point absorber wave energy converter with a tuned inerter," Renewable Energy, Elsevier, vol. 171(C), pages 217-226.

    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:jeners:v:16:y:2022:i:1:p:204-:d:1014255. 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.