Volume 40 Issue 4
Jun.  2021
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Yingguang Wang. A second order random wave model for predicting the power performances of a wave energy converter[J]. Acta Oceanologica Sinica, 2021, 40(4): 127-135. doi: 10.1007/s13131-021-1845-8
Citation: Yingguang Wang. A second order random wave model for predicting the power performances of a wave energy converter[J]. Acta Oceanologica Sinica, 2021, 40(4): 127-135. doi: 10.1007/s13131-021-1845-8

A second order random wave model for predicting the power performances of a wave energy converter

doi: 10.1007/s13131-021-1845-8
Funds:  The National Natural Science Foundation of China under contract No. 51979165.
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  • Corresponding author: Ying-guang wang E-mail: wyg110@sjtu.edu.cn
  • Received Date: 2019-12-22
  • Accepted Date: 2020-05-16
  • Available Online: 2021-04-01
  • Publish Date: 2021-06-03
  • The power performances of a point absorber wave energy converter (WEC) operating in a nonlinear multi-directional random sea are rigorously investigated. The absorbed power of the WEC Power-Take-Off system has been predicted by incorporating a second order random wave model into a nonlinear dynamic filter. This is a new approach, and, as the second order random wave model can be utilized to accurately simulate the nonlinear waves in an irregular sea, avoids the inaccuracies resulting from using a first order linear wave model in the simulation process. The predicted results have been systematically analyzed and compared, and the advantages of using this new approach have been convincingly substantiated.
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  • [1]
    Fernandes M A, Fonseca N. 2013. Finite depth effects on the wave energy resource and the energy captured by a point absorber. Ocean Engineering, 67: 13–26. doi: 10.1016/j.oceaneng.2013.04.001
    [2]
    Lindgren G. 2015. Asymmetric waves in wave energy systems analysed by the stochastic Gauss–Lagrange wave model. Proceedings of the Estonian Academy of Sciences, 64(3): 291–296. doi: 10.3176/proc.2015.3.13
    [3]
    Manuel L, Nguyen P T T, Canning J, et al. 2018. Alternative approaches to develop environmental contours from Metocean data. Journal of Ocean Engineering and Marine Energy, 4(4): 293–310. doi: 10.1007/s40722-018-0123-0
    [4]
    Ochi M K. Ocean Waves: the Stochastic Approach. Cambridge: Cambridge University Press, 1998
    [5]
    Sirnivas S, Yu Y H, Hall M, et al. 2016. Coupled mooring analyses for the WEC-SIM wave energy converter design tool. In: Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, Volume 6: Ocean Space Utilization. Busan, South Korea: ASME
    [6]
    Tom N M, Madhi F, Yeung R W. 2019. Power-to-load balancing for heaving asymmetric wave-energy converters with nonideal power take-off. Renewable Energy, 131: 1208–1225. doi: 10.1016/j.renene.2017.11.065
    [7]
    Tom N M, Yu Y H, Wright A D, et al. 2016. Balancing power absorption and fatigue loads in irregular waves for an oscillating surge wave energy converter. In: Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, Volume 6: Ocean Space Utilization. Busan, South Korea: ASME
    [8]
    Tom N M, Yu Y H, Wright A D, et al. 2018. Balancing power absorption against structural loads with viscous drag and power-takeoff efficiency considerations. IEEE Journal of Oceanic Engineering, 43(4): 1048–1067. doi: 10.1109/JOE.2017.2764393
    [9]
    Wang Yingguang. 2014. Calculating crest statistics of shallow water nonlinear waves based on standard spectra and measured data at the Poseidon platform. Ocean Engineering, 87: 16–24. doi: 10.1016/j.oceaneng.2014.05.012
    [10]
    Wang Yingguang. 2018a. A novel simulation method for predicting power outputs of wave energy converters. Applied Ocean Research, 80: 37–48. doi: 10.1016/j.apor.2018.08.011
    [11]
    Wang Yingguang. 2018b. A novel method for predicting the power outputs of wave energy converters. Acta Mechanica Sinica, 34(4): 644–652. doi: 10.1007/s10409-018-0755-2
    [12]
    Wang Yingguang. 2019. Comparison of a Lagrangian and a Gaussian model for power output predictions in a random sea. Renewable Energy, 134: 426–435. doi: 10.1016/j.renene.2018.11.051
    [13]
    Wang Yingguang, Wang Lifu. 2018. Towards realistically predicting the power outputs of wave energy converters: Nonlinear simulation. Energy, 144: 120–128. doi: 10.1016/j.energy.2017.12.023
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