IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v41y2012icp44-63.html
   My bibliography  Save this article

Numerical benchmarking study of a selection of wave energy converters

Author

Listed:
  • Babarit, A.
  • Hals, J.
  • Muliawan, M.J.
  • Kurniawan, A.
  • Moan, T.
  • Krokstad, J.

Abstract

The aim of this study is to estimate the mean annual power absorption of a selection of eight Wave Energy Converters (WECs) with different working principles. Based on these estimates a set of power performance measures that can be related to costs are derived. These are the absorbed energy per characteristic mass [kWh/kg], per characteristic surface area [MWh/m2], and per root mean square of Power Take Off (PTO) force [kWh/N].

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:41:y:2012:i:c:p:44-63
    DOI: 10.1016/j.renene.2011.10.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148111005672
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2011.10.002?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. Robert F Mulligan, 2008. "A Simple Model for Estimating Newbuilding Costs," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 10(3), pages 310-321, September.
    2. Henderson, Ross, 2006. "Design, simulation, and testing of a novel hydraulic power take-off system for the Pelamis wave energy converter," Renewable Energy, Elsevier, vol. 31(2), pages 271-283.
    3. Folley, M. & Whittaker, T.J.T., 2009. "Analysis of the nearshore wave energy resource," Renewable Energy, Elsevier, vol. 34(7), pages 1709-1715.
    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. Yong Wan & Chenqing Fan & Jie Zhang & Junmin Meng & Yongshou Dai & Ligang Li & Weifeng Sun & Peng Zhou & Jing Wang & Xudong Zhang, 2017. "Wave Energy Resource Assessment off the Coast of China around the Zhoushan Islands," Energies, MDPI, vol. 10(9), pages 1-25, September.
    2. Valentina Vannucchi & Lorenzo Cappietti, 2016. "Wave Energy Assessment and Performance Estimation of State of the Art Wave Energy Converters in Italian Hotspots," Sustainability, MDPI, vol. 8(12), pages 1-21, December.
    3. Albert, Alberto & Berselli, Giovanni & Bruzzone, Luca & Fanghella, Pietro, 2017. "Mechanical design and simulation of an onshore four-bar wave energy converter," Renewable Energy, Elsevier, vol. 114(PB), pages 766-774.
    4. Wan, Yong & Zheng, Chongwei & Li, Ligang & Dai, Yongshou & Esteban, M. Dolores & López-Gutiérrez, José-Santos & Qu, Xiaojun & Zhang, Xiaoyu, 2020. "Wave energy assessment related to wave energy convertors in the coastal waters of China," Energy, Elsevier, vol. 202(C).
    5. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    6. 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.
    7. Dina Silva & Eugen Rusu & Carlos Guedes Soares, 2013. "Evaluation of Various Technologies for Wave Energy Conversion in the Portuguese Nearshore," Energies, MDPI, vol. 6(3), pages 1-21, March.
    8. Mota, P. & Pinto, J.P., 2014. "Wave energy potential along the western Portuguese coast," Renewable Energy, Elsevier, vol. 71(C), pages 8-17.
    9. O’Connell, Ross & de Montera, Louis & Peters, Jared L. & Horion, Stéphanie, 2020. "An updated assessment of Ireland’s wave energy resource using satellite data assimilation and a revised wave period ratio," Renewable Energy, Elsevier, vol. 160(C), pages 1431-1444.
    10. Ilyas, Arqam & Kashif, Syed A.R. & Saqib, Muhammad A. & Asad, Muhammad M., 2014. "Wave electrical energy systems: Implementation, challenges and environmental issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 260-268.
    11. Brenda Rojas-Delgado & Monica Alonso & Hortensia Amaris & Juan de Santiago, 2019. "Wave Power Output Smoothing through the Use of a High-Speed Kinetic Buffer," Energies, MDPI, vol. 12(11), pages 1-28, June.
    12. 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.
    13. Soomere, Tarmo & Eelsalu, Maris, 2014. "On the wave energy potential along the eastern Baltic Sea coast," Renewable Energy, Elsevier, vol. 71(C), pages 221-233.
    14. Gaspar, José F. & Calvário, Miguel & Kamarlouei, Mojtaba & Guedes Soares, C., 2016. "Power take-off concept for wave energy converters based on oil-hydraulic transformer units," Renewable Energy, Elsevier, vol. 86(C), pages 1232-1246.
    15. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    16. Rusu, Liliana & Guedes Soares, C., 2012. "Wave energy assessments in the Azores islands," Renewable Energy, Elsevier, vol. 45(C), pages 183-196.
    17. Yu Zhou & Chongwei Zhang & Dezhi Ning, 2018. "Hydrodynamic Investigation of a Concentric Cylindrical OWC Wave Energy Converter," Energies, MDPI, vol. 11(4), pages 1-23, April.
    18. Wanan Sheng & Hui Li & Jimmy Murphy, 2017. "An Improved Method for Energy and Resource Assessment of Waves in Finite Water Depths," Energies, MDPI, vol. 10(8), pages 1-17, August.
    19. Halliday, J. Ross & Dorrell, David G. & Wood, Alan R., 2011. "An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour," Renewable Energy, Elsevier, vol. 36(6), pages 1685-1692.
    20. Pasquale Contestabile & Enrico Di Lauro & Paolo Galli & Cesare Corselli & Diego Vicinanza, 2017. "Offshore Wind and Wave Energy Assessment around Malè and Magoodhoo Island (Maldives)," Sustainability, MDPI, vol. 9(4), pages 1-24, April.

    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:41:y:2012:i:c:p:44-63. 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.