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A Design Procedure for Anchors of Floating Ocean Current Turbines on Weak Rock

Author

Listed:
  • Francisco Bañuelos-García

    (Facultad de Ingeniería, Universidad Autónoma del Estado de México, Cerro de Coatepec S/N, Ciudad Universitaria, Toluca 50110, Mexico)

  • Michael Ring

    (Instituto de Ingeniería, Universidad Nacional Autónoma de México, Coyoacán 04510, Mexico)

  • Edgar Mendoza

    (Instituto de Ingeniería, Universidad Nacional Autónoma de México, Coyoacán 04510, Mexico)

  • Rodolfo Silva

    (Instituto de Ingeniería, Universidad Nacional Autónoma de México, Coyoacán 04510, Mexico)

Abstract

In recent years, ocean current turbines have proven to be a reliable device for renewable energy generation. A crucial element of these turbines are the foundations, since they limit the displacement of the turbine, which is key in achieving efficiency in energy conversion, and can account for up to 26% of the total cost of the project. Most design procedures for foundations focus on sandy and clayey soils, but rock soils often predominate in tropical locations where marine currents are suitable for the installation of this type of turbine. This paper presents a design procedure for steel pile anchors (PAs) and concrete dead weight anchors (DWAs) on weak rock soils, using the assumptions of current technical documents and design codes commonly used in the industry for marine structures. Using specific designs for PA and DWA anchors, the procedure was theoretically assessed for a site off Cozumel Island, Mexico. The results show that the dimensions needed for DWAs are substantially larger than those for PAs. Therefore, whenever drilling is economically and operatively possible, piles would be preferable for the foundations of current turbine systems.

Suggested Citation

  • Francisco Bañuelos-García & Michael Ring & Edgar Mendoza & Rodolfo Silva, 2021. "A Design Procedure for Anchors of Floating Ocean Current Turbines on Weak Rock," Energies, MDPI, vol. 14(21), pages 1-31, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7347-:d:672396
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    References listed on IDEAS

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    1. Vazquez, A. & Iglesias, G., 2016. "Capital costs in tidal stream energy projects – A spatial approach," Energy, Elsevier, vol. 107(C), pages 215-226.
    2. Juan F. Bárcenas Graniel & Jassiel V. H. Fontes & Hector F. Gomez Garcia & Rodolfo Silva, 2021. "Assessing Hydrokinetic Energy in the Mexican Caribbean: A Case Study in the Cozumel Channel," Energies, MDPI, vol. 14(15), pages 1-23, July.
    3. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
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    Cited by:

    1. Enrico Giglio & Ermando Petracca & Bruno Paduano & Claudio Moscoloni & Giuseppe Giorgi & Sergej Antonello Sirigu, 2023. "Estimating the Cost of Wave Energy Converters at an Early Design Stage: A Bottom-Up Approach," Sustainability, MDPI, vol. 15(8), pages 1-39, April.
    2. Tsao, Che-Chih & Feng, An-Hsuan & Baharudin, Agus & Yang, Chia-Che, 2024. "Characteristics of ocean current meandering and potential efficacy of maximizing power capacity by tracking short-term meanders with hydro sail enabled active mooring," Renewable Energy, Elsevier, vol. 222(C).
    3. Tsao, Che-Chih & Chen, Zhi-Xiang & Feng, An-Hsuan & Baharudin, Agus, 2023. "Study of concentrated anchoring, siting, system layout and preliminary cost analysis for a large scale Kuroshio power plant by the cross-stream active mooring," Renewable Energy, Elsevier, vol. 205(C), pages 66-93.

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