A second order random wave model for predicting the power performances of a wave energy converter
Author:
Publisher
Springer Science and Business Media LLC
Subject
Aquatic Science,Oceanography
Link
https://link.springer.com/content/pdf/10.1007/s13131-021-1845-8.pdf
Reference13 articles.
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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: https://doi.org/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: https://doi.org/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
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