IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v126y2018icp605-616.html
   My bibliography  Save this article

Parametric design methodology for maximizing energy capture of a bottom-hinged flap-type WEC with medium wave resources

Author

Listed:
  • Chow, Yi-Chih
  • Chang, Yu-Chi
  • Chen, Da-Wei
  • Lin, Chen-Chou
  • Tzang, Shiaw-Yih

Abstract

This paper describes a parametric design methodology for maximizing the capture factor (CF) of a bottom-hinged flap-type wave energy converter (BHF-WEC). The general equation for CF is first derived using the damped-harmonic-oscillator model. Second, correspondences between the general and the 2-D ideal CF equations are established. Then, a scheme is proposed to account for any effects apart from the 2-D ideal modeling with three parameters, which constitute the basis for fitting any data series stemming from either numerical simulations or experiments. Once these three parameters are evaluated from data fitting, the maximum CF and its occurring conditions can be found. In the present study, WEC-Sim simulations are conducted for a series of finite rectangular BHF-WECs with effects of PTO and varying width (B) for two thicknesses (d) under two characteristic wave lengths (L) of the medium wave resources that Taiwan possesses. It is found that for B/L smaller than about 0.30, the maximum CF in resonance mode, CFres, is greater than 1.0 and much higher than that not in resonance mode, CFopt, which is always below 1.0. The captured power index in resonance mode, CFres × (B/L), is almost invariant in B/L = 0.11–0.30. Several BHF-WEC design guidelines can be deduced from these results.

Suggested Citation

  • Chow, Yi-Chih & Chang, Yu-Chi & Chen, Da-Wei & Lin, Chen-Chou & Tzang, Shiaw-Yih, 2018. "Parametric design methodology for maximizing energy capture of a bottom-hinged flap-type WEC with medium wave resources," Renewable Energy, Elsevier, vol. 126(C), pages 605-616.
    • Handle: RePEc:eee:renene:v:126:y:2018:i:c:p:605-616
    DOI: 10.1016/j.renene.2018.03.059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118303707
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.03.059?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sarkar, Dripta & Doherty, Kenneth & Dias, Frederic, 2016. "The modular concept of the Oscillating Wave Surge Converter," Renewable Energy, Elsevier, vol. 85(C), pages 484-497.
    2. Babarit, A. & Hals, J. & Muliawan, M.J. & Kurniawan, A. & Moan, T. & Krokstad, J., 2012. "Numerical benchmarking study of a selection of wave energy converters," Renewable Energy, Elsevier, vol. 41(C), pages 44-63.
    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. Li, Qiaofeng & Mi, Jia & Li, Xiaofan & Chen, Shuo & Jiang, Boxi & Zuo, Lei, 2021. "A self-floating oscillating surge wave energy converter," Energy, Elsevier, vol. 230(C).
    2. Yu, Hui-Feng & Zhang, Yong-Liang & Zheng, Si-Ming, 2016. "Numerical study on the performance of a wave energy converter with three hinged bodies," Renewable Energy, Elsevier, vol. 99(C), pages 1276-1286.
    3. Adrian De Andres & Jéromine Maillet & Jørgen Hals Todalshaug & Patrik Möller & David Bould & Henry Jeffrey, 2016. "Techno-Economic Related Metrics for a Wave Energy Converters Feasibility Assessment," Sustainability, MDPI, vol. 8(11), pages 1-19, October.
    4. Xiaohui Zeng & Qi Wang & Yuanshun Kang & Fajun Yu, 2022. "A Novel Type of Wave Energy Converter with Five Degrees of Freedom and Preliminary Investigations on Power-Generating Capacity," Energies, MDPI, vol. 15(9), pages 1-20, April.
    5. George Lavidas & Francesco De Leo & Giovanni Besio, 2020. "Blue Growth Development in the Mediterranean Sea: Quantifying the Benefits of an Integrated Wave Energy Converter at Genoa Harbour," Energies, MDPI, vol. 13(16), pages 1-14, August.
    6. Craig Jones & Grace Chang & Kaustubha Raghukumar & Samuel McWilliams & Ann Dallman & Jesse Roberts, 2018. "Spatial Environmental Assessment Tool (SEAT): A Modeling Tool to Evaluate Potential Environmental Risks Associated with Wave Energy Converter Deployments," Energies, MDPI, vol. 11(8), pages 1-19, August.
    7. Lavidas, George, 2019. "Energy and socio-economic benefits from the development of wave energy in Greece," Renewable Energy, Elsevier, vol. 132(C), pages 1290-1300.
    8. Carrelhas, A.A.D. & Gato, L.M.C. & Morais, F.J.F., 2024. "Aerodynamic performance and noise emission of different geometries of Wells turbines under design and off-design conditions," Renewable Energy, Elsevier, vol. 220(C).
    9. Manuel Corrales-Gonzalez & George Lavidas & Giovanni Besio, 2023. "Feasibility of Wave Energy Harvesting in the Ligurian Sea, Italy," Sustainability, MDPI, vol. 15(11), pages 1-22, June.
    10. Cheng, Zhengshun & Wen, Ting Rui & Ong, Muk Chen & Wang, Kai, 2019. "Power performance and dynamic responses of a combined floating vertical axis wind turbine and wave energy converter concept," Energy, Elsevier, vol. 171(C), pages 190-204.
    11. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    12. Siegel, Stefan G., 2019. "Numerical benchmarking study of a Cycloidal Wave Energy Converter," Renewable Energy, Elsevier, vol. 134(C), pages 390-405.
    13. Bertram, D.V. & Tarighaleslami, A.H. & Walmsley, M.R.W. & Atkins, M.J. & Glasgow, G.D.E., 2020. "A systematic approach for selecting suitable wave energy converters for potential wave energy farm sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    14. Gao, Qiang & Khan, Salman Saeed & Sergiienko, Nataliia & Ertugrul, Nesimi & Hemer, Mark & Negnevitsky, Michael & Ding, Boyin, 2022. "Assessment of wind and wave power characteristic and potential for hybrid exploration in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Wang, Yingguang & Wang, Lifu, 2018. "Towards realistically predicting the power outputs of wave energy converters: Nonlinear simulation," Energy, Elsevier, vol. 144(C), pages 120-128.
    16. Sarkar, Dripta & Contal, Emile & Vayatis, Nicolas & Dias, Frederic, 2016. "Prediction and optimization of wave energy converter arrays using a machine learning approach," Renewable Energy, Elsevier, vol. 97(C), pages 504-517.
    17. deCastro, M. & Rusu, L. & Arguilé-Pérez, B. & Ribeiro, A. & Costoya, X. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Different approaches to analyze the impact of future climate change on the exploitation of wave energy," Renewable Energy, Elsevier, vol. 220(C).
    18. Sang-Moon Yun & Hee-Sung Shin & Jong-Chun Park, 2024. "Two-Way Coupling Simulation of Fluid-Multibody Dynamics for Estimating Power Generation Performance of Point Absorber Wave Energy Converters," Energies, MDPI, vol. 17(4), pages 1-26, February.
    19. Addy Wahyudie & Tri Bagus Susilo & Fatima Alaryani & Cuk Supriyadi Ali Nandar & Mohammed Abdi Jama & Abdulrahman Daher & Hussain Shareef, 2020. "Wave Power Assessment in the Middle Part of the Southern Coast of Java Island," Energies, MDPI, vol. 13(10), pages 1-19, May.
    20. López, M. & Taveira-Pinto, F. & Rosa-Santos, P., 2017. "Influence of the power take-off characteristics on the performance of CECO wave energy converter," Energy, Elsevier, vol. 120(C), pages 686-697.

    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:eee:renene:v:126:y:2018:i:c:p:605-616. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.