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A unified simulation framework for wave energy powered underwater vehicle docking and charging

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  • Chen, Ming
  • Vivekanandan, Rakesh
  • Rusch, Curtis J.
  • Okushemiya, David
  • Manalang, Dana
  • Robertson, Bryson
  • Hollinger, Geoffrey A.

Abstract

As wave energy conversion technology advances, recharge of autonomous underwater vehicles has emerged as a promising application for this at-sea power. We bring together an interdisciplinary team to create a simulation framework linking hydrodynamic modeling, autonomous docking and navigation algorithms, and a power tracking model to better understand how a full wave energy converter–autonomous underwater vehicle system could be modeled. A floating point absorber wave energy converter is modeled and analyzed under various wave conditions. We incorporate three different dock designs, using the modeled dock motion and simulated wave-induced currents to test our autonomous docking algorithm. We couple the output of this algorithm to the hydrodynamic model to simulate autonomous docking. This shows that docking with a floating third body is successful in most sea states, while a dock rigidly mounted to the wave energy converter presents difficulty for autonomous docking. Finally, we incorporate a power model to better understand the feasibility and capabilities of a wave energy converter–underwater vehicle system in simulated wave environments. This shows that this system is comfortably supported in the majority of sea states, and provides an estimate of the on-board power storage required to maximize vehicle mission time.

Suggested Citation

  • Chen, Ming & Vivekanandan, Rakesh & Rusch, Curtis J. & Okushemiya, David & Manalang, Dana & Robertson, Bryson & Hollinger, Geoffrey A., 2024. "A unified simulation framework for wave energy powered underwater vehicle docking and charging," Applied Energy, Elsevier, vol. 361(C).
    • Handle: RePEc:eee:appene:v:361:y:2024:i:c:s0306261924002605
    DOI: 10.1016/j.apenergy.2024.122877
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    References listed on IDEAS

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    1. Markel Penalba & John V. Ringwood, 2016. "A Review of Wave-to-Wire Models for Wave Energy Converters," Energies, MDPI, vol. 9(7), pages 1-45, June.
    2. Robertson, Bryson & Dunkle, Gabrielle & Gadasi, Jonah & Garcia-Medina, Gabriel & Yang, Zhaoqing, 2021. "Holistic marine energy resource assessments: A wave and offshore wind perspective of metocean conditions," Renewable Energy, Elsevier, vol. 170(C), pages 286-301.
    3. Windt, Christian & Davidson, Josh & Ringwood, John V., 2018. "High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 610-630.
    4. Robertson, Bryson & Bailey, Helen & Clancy, Dan & Ortiz, Juan & Buckham, Bradley, 2016. "Influence of wave resource assessment methodology on wave energy production estimates," Renewable Energy, Elsevier, vol. 86(C), pages 1145-1160.
    5. Matthew Leary & Curtis Rusch & Zhe Zhang & Bryson Robertson, 2021. "Comparison and Validation of Hydrodynamic Theories for Wave Energy Converter Modelling," Energies, MDPI, vol. 14(13), pages 1-18, July.
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