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Measurements of the slow drift dynamics of a model Pelamis wave energy converter

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  • Retzler, Chris

Abstract

The Pelamis wave energy converter (WEC) is moored with a clump-assisted wire catenary of high compliance that, coupled with the displacement mass of Pelamis, has a resonant frequency an order of magnitude lower than the wave frequencies. The mooring is thus decoupled from first-order wave excitation, and is excited by second-order slowly varying drift forces, which are mainly due to the wave momentum transferred to the device as wave power is absorbed. The slow drift motion is damped by a combination of drag and wave-drift damping. This paper describes an experimental investigation of the slow-drift excitation and damping.

Suggested Citation

  • Retzler, Chris, 2006. "Measurements of the slow drift dynamics of a model Pelamis wave energy converter," Renewable Energy, Elsevier, vol. 31(2), pages 257-269.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:2:p:257-269
    DOI: 10.1016/j.renene.2005.08.025
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    Cited by:

    1. Zhang, H. & Aggidis, G.A., 2018. "Nature rules hidden in the biomimetic wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 28-37.
    2. Lindroth, Simon & Leijon, Mats, 2011. "Offshore wave power measurements—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4274-4285.
    3. Reikard, Gordon & Robertson, Bryson & Bidlot, Jean-Raymond, 2015. "Combining wave energy with wind and solar: Short-term forecasting," Renewable Energy, Elsevier, vol. 81(C), pages 442-456.
    4. Sun, Pengyuan & Liu, Senming & He, Hongzhou & Zhao, Yingru & Zheng, Songgen & Chen, Hu & Yang, Shaohui, 2021. "Simulated and experimental investigation of a floating-array-buoys wave energy converter with single-point mooring," Renewable Energy, Elsevier, vol. 176(C), pages 637-650.
    5. Jeon, Jooyoung & Taylor, James W., 2016. "Short-term density forecasting of wave energy using ARMA-GARCH models and kernel density estimation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 991-1004.
    6. Carpintero Moreno, Efrain & Stansby, Peter, 2019. "The 6-float wave energy converter M4: Ocean basin tests giving capture width, response and energy yield for several sites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 307-318.
    7. Hong, Yue & Waters, Rafael & Boström, Cecilia & Eriksson, Mikael & Engström, Jens & Leijon, Mats, 2014. "Review on electrical control strategies for wave energy converting systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 329-342.
    8. Ching-Piao, Tsai & Ching-Her, Hwang & Chien, Hwa & Hao-Yuan, Cheng, 2012. "Study on the wave climate variation to the renewable wave energy assessment," Renewable Energy, Elsevier, vol. 38(1), pages 50-61.
    9. Josh Davidson & John V. Ringwood, 2017. "Mathematical Modelling of Mooring Systems for Wave Energy Converters—A Review," Energies, MDPI, vol. 10(5), pages 1-46, May.
    10. Changhai Liu & Qingjun Yang & Gang Bao, 2018. "State-Space Approximation of Convolution Term in Time Domain Analysis of a Raft-Type Wave Energy Converter," Energies, MDPI, vol. 11(1), pages 1-22, January.
    11. Zhang, Dahai & Li, Wei & Lin, Yonggang & Bao, Jingwei, 2012. "An overview of hydraulic systems in wave energy application in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4522-4526.

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