References

  1. M.L. Cai, Y.X. Wang, Z.X. Jiao, Y. Shi, Review of fluid and control technology of hydraulic wind turbines, Front. Mech. Eng., 12 (2017) 312–320.
  2. Z.Y. Zhang, X.Y. Chen, H.T. Wu, W.X. Liu, L. Cui, Numerical study of a novel hybrid system with the Wavestar wave energy converter array and a SPIC semi-submersible floating platform, J. Cleaner Prod., 407 (2023) 137178, doi: 10.1016/j.jclepro.2023.137178.
  3. Z.Y. Zhang, F.M.A. Altalbawy, M. Al-Bahrani, Y. Riadi, Regretbased multi-objective optimization of carbon capture facility in CHP-based microgrid with carbon dioxide cycling, J. Cleaner Prod., 384 (2023) 135632, doi: 10.1016/j.jclepro.2022.135632.
  4. W.X. Liu, L. Liu, H.T. Wu, Y.L. Chen, X.B. Zheng, N.Y. Li, Z.Y. Zhang, Performance analysis and offshore applications of the diffuser augmented tidal turbines, Ships Offshore Struct., 18 (2023) 68–77.
  5. T. Wilberforce, Z. El Hassan, A. Durrant, J. Thompson, B. Soudan, A.G. Olabi, Overview of ocean power technology, Energy, 175 (2019) 165–181.
  6. X.J. Sun, D.G. Huang, An explosive growth of wind power in China, Int. J. Green Energy, 11 (2014) 849–860.
  7. L. Zhang, S.-q. Wang, Q.-h. Sheng, F.-m. Jing, Y. Ma, The effects of surge motion of the floating platform on hydrodynamics performance of horizontal-axis tidal current turbine, Renewable Energy, 74 (2015) 796–802.
  8. B.G. Wu, X.M. Zhang, J.M. Chen, M.Q. Xu, S.X. Li, G.Z. Li, Design of high-efficient and universally applicable blades of tidal stream turbine, Energy, 60 (2013) 187–194.
  9. P. Abolfazl, D. Maziar, R. Saeed, Genetic algorithms for the design and optimization of horizontal axis wind turbine (HAWT) blades: a continuous approach or a binary one?, Sustainable Energy Technol. Assess., 44 (2021) 101022, doi: 10.1016/j.seta.2021.101022.
  10. Z.Y. Zhang, B. Wu, L.Y. Wu, W.X. Liu, L. Liu, N.Y. Li, L. Cui, Optimization of the bionic wing shape of tidal turbines using multi-island genetic algorithm, Machines, 11 (2023) 43, doi: 10.3390/machines11010043.
  11. S.-L. Lee, S.J. Shin, Structural design optimization of a wind turbine blade using the genetic algorithm, Eng. Optim., 54 (2022) 2053–2070.
  12. F. Grasso, Hybrid Optimization for Wind Turbine Thick Airfoils, Collection of Technical Papers - AIAA/ASME/ASCE/ AHS/ASC Structures, Structural Dynamics and Materials Conference, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ ASME/AHS Adaptive Structures Conference 14th AIAA, 2013, doi: 10.2514/6.2012-1354.
  13. Y.L. He, R.K. Agarwal, Shape optimization of NREL S809 airfoil for wind turbine blades using a multi-objective genetic algorithm, Int. J. Aerosp. Eng., 2014 (2014) 864210, doi: 10.1155/2014/864210.
  14. M.-J. Chern, D.G. Tewolde, C.-C. Kao, N. Vaziri, Verticalaxis wind turbine blade-shape optimization using a genetic algorithm and direct-forcing immersed boundary method, J. Energy Eng., 147 (2021) 04020091, doi: 10.1061/(ASCE)EY.1943-7897.0000741.
  15. E.J. Yeo, D.M. Kennedy, F. O’Rourke, Tidal Current Turbine Blade Optimisation Using a Combined Genetic Algorithm-Blade Element Momentum Theory Model, The 33rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2020.
  16. L. de Landa Couto, N.E. Moreira, J.Y. de Oliveira Saito, P.H. Hallak, A.C. de Castro Lemonge, Multi-objective structural optimization of a composite wind turbine blade considering natural frequencies of vibration and global stability, Energies, 16 (2023) 3363, doi: 10.3390/en16083363.
  17. N. Pholdee, S. Bureerat, W. Nuantong, Kriging surrogate-based genetic algorithm optimization for blade design of a horizontal axis wind turbine, CMES-Comp. Model. Eng. Sci., 126 (2021) 261–273.
  18. M. Ahmad, A. Shahzad, F. Akram, F. Ahmad, S.I. Ali Shah, Design optimization of Double-Darrieus hybrid vertical axis wind turbine, Ocean Eng., 254 (2022) 111171, doi: 10.1016/j.oceaneng.2022.111171.
  19. G.S. Payne, T. Stallard, R. Martinez, Design and manufacture of a bed supported tidal turbine model for blade and shaft load measurement in turbulent flow and waves, Renewable Energy, 107 (2017) 312–326.
  20. J.Q. Kou, L. Botero-Bolívar, R. Ballano, O. Marino, L. de Santana, E. Valero, E. Ferrer, Aeroacoustic airfoil shape optimization enhanced by autoencoders, Expert Syst. Appl., 217 (2023) 119513, doi: 10.1016/j.eswa.2023.119513.
  21. Z.Y. Zhang, M.H. Du, Y.K. Li, W.X. Liu, H.T. Wu, L. Cui, Z.H. Yan, X. Wang, Q.M. Liao, M. Li, Effects of mooring configuration on the dynamic behavior of a TLP with tendon failure, Desal. Water Treat., 268 (2022) 215–228.
  22. R.J. Balamurugan, H.A.Z. Al-Bonsrulah, V. Raja, K. Lokeshkumar, S.D. Kannan, M. Senthil Kumar, R. Rasheed, P. Rajendran, M. Al-Bahrani, Design and multiperspectivitybased performance investigations of H-Darrieus vertical axis wind turbine through computational fluid dynamics adopted with moving reference frame approaches, Int. J. Low-Carbon Technol., 17 (2022) 784–806.