IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8671-d1493969.html

Numerical and Experimental Power Output Estimation for a Small-Scale Hinged Wave Energy Converter

Author

Listed:
  • Giovanni Martins

    (Department of Civil Engineering, Faculty of Engineering of the University of Porto (FEUP), Rua Dr. Roberto Frias, S/N, 4200-465 Porto, Portugal)

  • Paulo Rosa-Santos

    (Department of Civil Engineering, Faculty of Engineering of the University of Porto (FEUP), Rua Dr. Roberto Frias, S/N, 4200-465 Porto, Portugal
    Interdisciplinary Centre of Marine and Environmental Research of the University of Porto (CIIMAR), Avenida General Norton de Matos, S/N, 4450-208 Matosinhos, Portugal)

  • Gianmaria Giannini

    (Department of Civil Engineering, Faculty of Engineering of the University of Porto (FEUP), Rua Dr. Roberto Frias, S/N, 4200-465 Porto, Portugal
    Interdisciplinary Centre of Marine and Environmental Research of the University of Porto (CIIMAR), Avenida General Norton de Matos, S/N, 4450-208 Matosinhos, Portugal)

Abstract

Wave energy converters (WECs) integrated into breakwaters present a promising solution for combining coastal protection with renewable energy generation, addressing both energy demands and environmental concerns. Additionally, this integration offers cost-sharing opportunities, making the overall investment more economically viable. This study explores the potential of a hinged point-absorber WEC, specifically designed as a floating hinged half-sphere, by assessing the device’s power output and comparing two different breakwater configurations. To evaluate the device’s performance, a comprehensive numerical and experimental approach was adopted. Numerical simulations were carried out using a radiation-diffraction model, a time domain tool for analyzing wave–structure interactions. These simulations predicted average power outputs of 25 kW for sloped breakwaters and 18 kW for vertical breakwaters located at two strategic sites: the Port of Leixões and the mouth of the Douro River in Portugal. To validate these predictions, a 1:14 scale model of the WEC was constructed and subjected to testing in a wave–current flume, replicating different sea-state conditions. The experimental results closely aligned with the numerical simulations, demonstrating a good match in terms of relative error and relative amplitude operator (RAO). This alignment confirms the reliability of the predictive model. These findings support the potential of integrating WECs into breakwaters, contributing to port energy self-sufficiency and decarbonization.

Suggested Citation

  • Giovanni Martins & Paulo Rosa-Santos & Gianmaria Giannini, 2024. "Numerical and Experimental Power Output Estimation for a Small-Scale Hinged Wave Energy Converter," Sustainability, MDPI, vol. 16(19), pages 1-20, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8671-:d:1493969
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8671/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/19/8671/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mota, P. & Pinto, J.P., 2014. "Wave energy potential along the western Portuguese coast," Renewable Energy, Elsevier, vol. 71(C), pages 8-17.
    2. Coiro, Domenico P. & Troise, Giancarlo & Calise, Giuseppe & Bizzarrini, Nadia, 2016. "Wave energy conversion through a point pivoted absorber: Numerical and experimental tests on a scaled model," Renewable Energy, Elsevier, vol. 87(P1), pages 317-325.
    3. Jeremiah Pastor & Yucheng Liu, 2016. "Wave Climate Resource Analysis Based on a Revised Gamma Spectrum for Wave Energy Conversion Technology," Sustainability, MDPI, vol. 8(12), pages 1-14, December.
    4. 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.
    5. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
    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. Seongho Ahn & Kevin A. Haas & Vincent S. Neary, 2020. "Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States," Energies, MDPI, vol. 13(12), pages 1-26, June.
    2. Joan Pau Sierra & Ricard Castrillo & Marc Mestres & César Mösso & Piero Lionello & Luigi Marzo, 2020. "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco," Energies, MDPI, vol. 13(11), pages 1-19, June.
    3. Giannini, Gianmaria & Rosa-Santos, Paulo & Ramos, Victor & Taveira-Pinto, Francisco, 2022. "Wave energy converters design combining hydrodynamic performance and structural assessment," Energy, Elsevier, vol. 249(C).
    4. Egidijus Kasiulis & Jens Peter Kofoed & Arvydas Povilaitis & Algirdas Radzevičius, 2017. "Spatial Distribution of the Baltic Sea Near-Shore Wave Power Potential along the Coast of Klaipėda, Lithuania," Energies, MDPI, vol. 10(12), pages 1-18, December.
    5. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    6. Guillou, Nicolas & Chapalain, Georges, 2020. "Assessment of wave power variability and exploitation with a long-term hindcast database," Renewable Energy, Elsevier, vol. 154(C), pages 1272-1282.
    7. Guillou, Nicolas, 2020. "Estimating wave energy flux from significant wave height and peak period," Renewable Energy, Elsevier, vol. 155(C), pages 1383-1393.
    8. Morim, Joao & Cartwright, Nick & Etemad-Shahidi, Amir & Strauss, Darrell & Hemer, Mark, 2016. "Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast," Applied Energy, Elsevier, vol. 184(C), pages 276-297.
    9. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.
    10. Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    11. Gianmaria Giannini & Esmaeil Zavvar & Victor Ramos & Tomás Calheiros-Cabral & Isabel Iglesias & Francisco Taveira-Pinto & Paulo Rosa-Santos, 2024. "On the Development of a Near-Shore Pivoting Wave Energy Converter," Energies, MDPI, vol. 17(11), pages 1-22, June.
    12. Ni, Wenchi & Zhang, Xu & Zhang, Wei & Liang, Shuangling, 2021. "Numerical investigation of adaptive damping control for raft-type wave energy converters," Renewable Energy, Elsevier, vol. 175(C), pages 520-531.
    13. Kilcher, Levi & García Medina, Gabriel & Yang, Zhaoqing, 2023. "A scalable wave resource assessment methodology: Application to U.S. waters," Renewable Energy, Elsevier, vol. 217(C).
    14. Guillou, Nicolas & Chapalain, Georges, 2018. "Annual and seasonal variabilities in the performances of wave energy converters," Energy, Elsevier, vol. 165(PB), pages 812-823.
    15. Han, Zhi & Jin, Siya & Greaves, Deborah & Hann, Martyn & Shi, Hongda, 2024. "Study on the energy capture spectrum of a two-body hinged-raft wave energy converter," Energy, Elsevier, vol. 304(C).
    16. Mediavilla, D.G. & Sepúlveda, H.H., 2016. "Nearshore assessment of wave energy resources in central Chile (2009–2010)," Renewable Energy, Elsevier, vol. 90(C), pages 136-144.
    17. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2020. "Wave energy resource characterization and assessment for coastal waters of the United States," Applied Energy, Elsevier, vol. 267(C).
    18. Sanil Kumar, V. & Anoop, T.R., 2015. "Wave energy resource assessment for the Indian shelf seas," Renewable Energy, Elsevier, vol. 76(C), pages 212-219.
    19. Nicolas Guillou & George Lavidas & Bahareh Kamranzad, 2023. "Wave Energy in Brittany (France)—Resource Assessment and WEC Performances," Sustainability, MDPI, vol. 15(2), pages 1-27, January.
    20. Hoseini Karani, Mohammad Mehdi & Nikoo, Mohammad Reza & Dolatshahi Pirooz, Houshang & Shadmani, Alireza & Al-Saadi, Saleh & Gandomi, Amir H., 2024. "Multi-objective evolutionary framework for layout and operational optimization of a multi-body wave energy converter," Energy, Elsevier, vol. 313(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:16:y:2024:i:19:p:8671-:d:1493969. 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.