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Review of performance optimization techniques applied to wind turbines

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Cited by:

  1. Zhang, Jun & Du, Xiong & Qian, Cheng, 2021. "Lifetime improvement for wind power generation system based on optimal effectiveness of thermal management," Applied Energy, Elsevier, vol. 286(C).
  2. Veisi, Amin Allah & Shafiei Mayam, Mohammad Hossein, 2017. "Effects of blade rotation direction in the wake region of two in-line turbines using Large Eddy Simulation," Applied Energy, Elsevier, vol. 197(C), pages 375-392.
  3. Meng, Hang & Lien, Fue-Sang & Yee, Eugene & Shen, Jingfang, 2020. "Modelling of anisotropic beam for rotating composite wind turbine blade by using finite-difference time-domain (FDTD) method," Renewable Energy, Elsevier, vol. 162(C), pages 2361-2379.
  4. Dai, Juchuan & Tan, Yayi & Shen, Xiangbin, 2019. "Investigation of energy output in mountain wind farm using multiple-units SCADA data," Applied Energy, Elsevier, vol. 239(C), pages 225-238.
  5. Margielewicz, Jerzy & Gąska, Damian & Litak, Grzegorz & Wolszczak, Piotr & Yurchenko, Daniil, 2022. "Nonlinear dynamics of a new energy harvesting system with quasi-zero stiffness," Applied Energy, Elsevier, vol. 307(C).
  6. Thé, Jesse & Yu, Hesheng, 2017. "A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods," Energy, Elsevier, vol. 138(C), pages 257-289.
  7. Manisha Sawant & Sameer Thakare & A. Prabhakara Rao & Andrés E. Feijóo-Lorenzo & Neeraj Dhanraj Bokde, 2021. "A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics," Energies, MDPI, vol. 14(8), pages 1-30, April.
  8. Pim van der Male & Marco Vergassola & Karel N. van Dalen, 2020. "Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures," Energies, MDPI, vol. 13(19), pages 1-35, October.
  9. Vučina, Damir & Marinić-Kragić, Ivo & Milas, Zoran, 2016. "Numerical models for robust shape optimization of wind turbine blades," Renewable Energy, Elsevier, vol. 87(P2), pages 849-862.
  10. Song, Dongran & Yang, Yinggang & Zheng, Songyue & Tang, Weiyi & Yang, Jian & Su, Mei & Yang, Xuebing & Joo, Young Hoon, 2019. "Capacity factor estimation of variable-speed wind turbines considering the coupled influence of the QN-curve and the air density," Energy, Elsevier, vol. 183(C), pages 1049-1060.
  11. Li, Chao & Xiao, Yiqing & Xu, You-lin & Peng, Yi-xin & Hu, Gang & Zhu, Songye, 2018. "Optimization of blade pitch in H-rotor vertical axis wind turbines through computational fluid dynamics simulations," Applied Energy, Elsevier, vol. 212(C), pages 1107-1125.
  12. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
  13. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.
  14. Momeni, Farhang & Sabzpoushan, Seyedali & Valizadeh, Reza & Morad, Mohammad Reza & Liu, Xun & Ni, Jun, 2019. "Plant leaf-mimetic smart wind turbine blades by 4D printing," Renewable Energy, Elsevier, vol. 130(C), pages 329-351.
  15. Mauro, S. & Lanzafame, R. & Messina, M. & Brusca, S., 2023. "On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation," Energy, Elsevier, vol. 275(C).
  16. Ochoa, Danny & Martinez, Sergio, 2018. "Frequency dependent strategy for mitigating wind power fluctuations of a doubly-fed induction generator wind turbine based on virtual inertia control and blade pitch angle regulation," Renewable Energy, Elsevier, vol. 128(PA), pages 108-124.
  17. Chan, C.M. & Bai, H.L. & He, D.Q., 2018. "Blade shape optimization of the Savonius wind turbine using a genetic algorithm," Applied Energy, Elsevier, vol. 213(C), pages 148-157.
  18. Parkhurst, Kristen M. & Saffron, Christopher M. & Miller, Raymond O., 2016. "An energy analysis comparing biomass torrefaction in depots to wind with natural gas combustion for electricity generation," Applied Energy, Elsevier, vol. 179(C), pages 171-181.
  19. Lucas de Landa Couto & Nícolas Estanislau Moreira & Josué Yoshikazu de Oliveira Saito & Patricia Habib Hallak & Afonso Celso de Castro Lemonge, 2023. "Multi-Objective Structural Optimization of a Composite Wind Turbine Blade Considering Natural Frequencies of Vibration and Global Stability," Energies, MDPI, vol. 16(8), pages 1-25, April.
  20. Gao, Linyue & Tao, Tao & Liu, Yongqian & Hu, Hui, 2021. "A field study of ice accretion and its effects on the power production of utility-scale wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 917-928.
  21. Longfu Luo & Xiaofeng Zhang & Dongran Song & Weiyi Tang & Jian Yang & Li Li & Xiaoyu Tian & Wu Wen, 2018. "Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-17, October.
  22. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
  23. Song, Dongran & Yang, Jian & Cai, Zili & Dong, Mi & Su, Mei & Wang, Yinghua, 2017. "Wind estimation with a non-standard extended Kalman filter and its application on maximum power extraction for variable speed wind turbines," Applied Energy, Elsevier, vol. 190(C), pages 670-685.
  24. Zi Lin & Xiaolei Liu, 2020. "Assessment of Wind Turbine Aero-Hydro-Servo-Elastic Modelling on the Effects of Mooring Line Tension via Deep Learning," Energies, MDPI, vol. 13(9), pages 1-21, May.
  25. Birgir Hrafnkelsson & Gudmundur V. Oddsson & Runar Unnthorsson, 2016. "A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation," Energies, MDPI, vol. 9(4), pages 1-14, April.
  26. Gao, Linyue & Liu, Yang & Ma, Liqun & Hu, Hui, 2019. "A hybrid strategy combining minimized leading-edge electric-heating and superhydro-/ice-phobic surface coating for wind turbine icing mitigation," Renewable Energy, Elsevier, vol. 140(C), pages 943-956.
  27. Ma, Ning & Lei, Hang & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhang, Kai & Zhou, Lei & Chen, Caiyong, 2018. "Airfoil optimization to improve power performance of a high-solidity vertical axis wind turbine at a moderate tip speed ratio," Energy, Elsevier, vol. 150(C), pages 236-252.
  28. Golnary, Farshad & Moradi, Hamed, 2018. "Design and comparison of quasi continuous sliding mode control with feedback linearization for a large scale wind turbine with wind speed estimation," Renewable Energy, Elsevier, vol. 127(C), pages 495-508.
  29. Kuang, Limin & Su, Jie & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Zhang, Kai & Zhao, Yongsheng & Bao, Yan, 2022. "Wind-capture-accelerate device for performance improvement of vertical-axis wind turbines: External diffuser system," Energy, Elsevier, vol. 239(PB).
  30. Xiang, Ling & Yang, Xin & Hu, Aijun & Su, Hao & Wang, Penghe, 2022. "Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks," Applied Energy, Elsevier, vol. 305(C).
  31. Chen, Jincheng & Wang, Feng & Stelson, Kim A., 2018. "A mathematical approach to minimizing the cost of energy for large utility wind turbines," Applied Energy, Elsevier, vol. 228(C), pages 1413-1422.
  32. Gentils, Theo & Wang, Lin & Kolios, Athanasios, 2017. "Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm," Applied Energy, Elsevier, vol. 199(C), pages 187-204.
  33. Yin, Minghui & Yang, Zhiqiang & Xu, Yan & Liu, Jiankun & Zhou, Lianjun & Zou, Yun, 2018. "Aerodynamic optimization for variable-speed wind turbines based on wind energy capture efficiency," Applied Energy, Elsevier, vol. 221(C), pages 508-521.
  34. Shakil Rehman Sheikh & Syed Hassan Raza Shah & Umar Rauf & Fawad Rauf & Zareena Kausar & Umair Aziz & Muhammad Faizan Shah & Haseeb Yaqoob & Muhammad Bilal Khan Niazi, 2021. "A Low-Cost Sustainable Energy Solution for Pristine Mountain Areas of Developing Countries," Energies, MDPI, vol. 14(11), pages 1-18, May.
  35. Castellani, Francesco & Astolfi, Davide & Sdringola, Paolo & Proietti, Stefania & Terzi, Ludovico, 2017. "Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment," Applied Energy, Elsevier, vol. 185(P2), pages 1076-1086.
  36. Song, Dongran & Yang, Jian & Su, Mei & Liu, Anfeng & Cai, Zili & Liu, Yao & Joo, Young Hoon, 2017. "A novel wind speed estimator-integrated pitch control method for wind turbines with global-power regulation," Energy, Elsevier, vol. 138(C), pages 816-830.
  37. Noyes, Carlos & Loth, Eric & Martin, Dana & Johnson, Kathryn & Ananda, Gavin & Selig, Michael, 2020. "Extreme-scale load-aligning rotor: To hinge or not to hinge?," Applied Energy, Elsevier, vol. 257(C).
  38. Hasager, C. & Vejen, F. & Bech, J.I. & Skrzypiński, W.R. & Tilg, A.-M. & Nielsen, M., 2020. "Assessment of the rain and wind climate with focus on wind turbine blade leading edge erosion rate and expected lifetime in Danish Seas," Renewable Energy, Elsevier, vol. 149(C), pages 91-102.
  39. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Murata, Junsuke & Nishida, Yusuke, 2016. "Visualization of the flow field and aerodynamic force on a Horizontal Axis Wind Turbine in turbulent inflows," Energy, Elsevier, vol. 111(C), pages 57-67.
  40. Dongran Song & Jian Yang & Mei Su & Anfeng Liu & Yao Liu & Young Hoon Joo, 2017. "A Comparison Study between Two MPPT Control Methods for a Large Variable-Speed Wind Turbine under Different Wind Speed Characteristics," Energies, MDPI, vol. 10(5), pages 1-18, May.
  41. Zhang, Lijun & Gu, Jiawei & Zhu, Huaibao & Hu, Kuoliang & Li, Xiang & Jiao, Liuyang & Miao, Junjie & Liu, Jing & Wang, Zhiwei, 2021. "Rationality research of the adjustment law for the blade pitch angle of H-type vertical-axis wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 484-496.
  42. Wędzik, Andrzej & Siewierski, Tomasz & Szypowski, Michał, 2016. "A new method for simultaneous optimizing of wind farm’s network layout and cable cross-sections by MILP optimization," Applied Energy, Elsevier, vol. 182(C), pages 525-538.
  43. Zhang, Sanxia & Luo, Kun & Yuan, Renyu & Wang, Qiang & Wang, Jianwen & Zhang, Liru & Fan, Jianren, 2018. "Influences of operating parameters on the aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 160(C), pages 597-611.
  44. Song, Dongran & Liu, Junbo & Yang, Jian & Su, Mei & Wang, Yun & Yang, Xuebing & Huang, Lingxiang & Joo, Young Hoon, 2020. "Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization," Energy, Elsevier, vol. 193(C).
  45. Sun, Peng & Li, Jian & Wang, Caisheng & Lei, Xiao, 2016. "A generalized model for wind turbine anomaly identification based on SCADA data," Applied Energy, Elsevier, vol. 168(C), pages 550-567.
  46. Pinto, Ricardo Luiz Utsch de Freitas & Gonçalves, Bruna Patrícia Furtado, 2017. "A revised theoretical analysis of aerodynamic optimization of horizontal-axis wind turbines based on BEM theory," Renewable Energy, Elsevier, vol. 105(C), pages 625-636.
  47. Kumar, Rakesh & Raahemifar, Kaamran & Fung, Alan S., 2018. "A critical review of vertical axis wind turbines for urban applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 281-291.
  48. Rezaeiha, Abdolrahim & Kalkman, Ivo & Blocken, Bert, 2017. "Effect of pitch angle on power performance and aerodynamics of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 197(C), pages 132-150.
  49. Petrović, A. & Đurišić, Ž., 2021. "Genetic algorithm based optimized model for the selection of wind turbine for any site-specific wind conditions," Energy, Elsevier, vol. 236(C).
  50. Bassamzadeh, Nastaran & Ghanem, Roger, 2017. "Multiscale stochastic prediction of electricity demand in smart grids using Bayesian networks," Applied Energy, Elsevier, vol. 193(C), pages 369-380.
  51. Albara M. Mustafa & Abbas Barabadi, 2022. "Criteria-Based Fuzzy Logic Risk Analysis of Wind Farms Operation in Cold Climate Regions," Energies, MDPI, vol. 15(4), pages 1-17, February.
  52. Dhoot, Aditya & Antonini, Enrico G.A. & Romero, David A. & Amon, Cristina H., 2021. "Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability," Energy, Elsevier, vol. 223(C).
  53. Bizon, Nicu, 2018. "Optimal operation of fuel cell/wind turbine hybrid power system under turbulent wind and variable load," Applied Energy, Elsevier, vol. 212(C), pages 196-209.
  54. Artigao, Estefania & Martín-Martínez, Sergio & Honrubia-Escribano, Andrés & Gómez-Lázaro, Emilio, 2018. "Wind turbine reliability: A comprehensive review towards effective condition monitoring development," Applied Energy, Elsevier, vol. 228(C), pages 1569-1583.
  55. Thapa, Mishal & Missoum, Samy, 2022. "Uncertainty quantification and global sensitivity analysis of composite wind turbine blades," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
  56. Coester, Andreas & Hofkes, Marjan W. & Papyrakis, Elissaios, 2018. "Economics of renewable energy expansion and security of supply: A dynamic simulation of the German electricity market," Applied Energy, Elsevier, vol. 231(C), pages 1268-1284.
  57. Abdul Ghani Olabi & Tabbi Wilberforce & Khaled Elsaid & Enas Taha Sayed & Tareq Salameh & Mohammad Ali Abdelkareem & Ahmad Baroutaji, 2021. "A Review on Failure Modes of Wind Turbine Components," Energies, MDPI, vol. 14(17), pages 1-44, August.
  58. Diab, Fahd & Lan, Hai & Ali, Salwa, 2016. "Novel comparison study between the hybrid renewable energy systems on land and on ship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 452-463.
  59. Yang, Ruizhen & He, Yunze & Zhang, Hong, 2016. "Progress and trends in nondestructive testing and evaluation for wind turbine composite blade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1225-1250.
  60. Xiaodong Wang & Zhaoliang Ye & Shun Kang & Hui Hu, 2019. "Investigations on the Unsteady Aerodynamic Characteristics of a Horizontal-Axis Wind Turbine during Dynamic Yaw Processes," Energies, MDPI, vol. 12(16), pages 1-23, August.
  61. Thirunavukkarasu, M. & Sawle, Yashwant & Lala, Himadri, 2023. "A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
  62. Kuo, Jim Y.J. & Romero, David A. & Beck, J. Christopher & Amon, Cristina H., 2016. "Wind farm layout optimization on complex terrains – Integrating a CFD wake model with mixed-integer programming," Applied Energy, Elsevier, vol. 178(C), pages 404-414.
  63. Assareh, Ehsanolah & Biglari, Mojtaba, 2015. "A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1023-1037.
  64. Wang, Long & Wang, Tongguang & Wu, Jianghai & Chen, Guoping, 2017. "Multi-objective differential evolution optimization based on uniform decomposition for wind turbine blade design," Energy, Elsevier, vol. 120(C), pages 346-361.
  65. Su, Jie & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhao, Yongsheng, 2020. "Investigation of V-shaped blade for the performance improvement of vertical axis wind turbines," Applied Energy, Elsevier, vol. 260(C).
  66. Chen, Junsheng & Li, Jian & Chen, Weigen & Wang, Youyuan & Jiang, Tianyan, 2020. "Anomaly detection for wind turbines based on the reconstruction of condition parameters using stacked denoising autoencoders," Renewable Energy, Elsevier, vol. 147(P1), pages 1469-1480.
  67. Yang, J.J. & He, E.M., 2020. "Coupled modeling and structural vibration control for floating offshore wind turbine," Renewable Energy, Elsevier, vol. 157(C), pages 678-694.
  68. Sutrisno & Sigit Iswahyudi & Setyawan Bekti Wibowo, 2018. "Dimensional Analysis of Power Prediction of a Real-Scale Wind Turbine Based on Wind-Tunnel Torque Measurement of Small-Scaled Models," Energies, MDPI, vol. 11(9), pages 1-13, September.
  69. Li, Qingan & Cai, Chang & Maeda, Takao & Kamada, Yasunari & Shimizu, Kento & Dong, Yehong & Zhang, Fanghong & Xu, Jianzhong, 2021. "Visualization of aerodynamic forces and flow field on a straight-bladed vertical axis wind turbine by wind tunnel experiments and panel method," Energy, Elsevier, vol. 225(C).
  70. Acarer, Sercan & Uyulan, Çağlar & Karadeniz, Ziya Haktan, 2020. "Optimization of radial inflow wind turbines for urban wind energy harvesting," Energy, Elsevier, vol. 202(C).
  71. Yong Ma & Aiming Zhang & Lele Yang & Chao Hu & Yue Bai, 2019. "Investigation on Optimization Design of Offshore Wind Turbine Blades based on Particle Swarm Optimization," Energies, MDPI, vol. 12(10), pages 1-18, May.
  72. Zhang, Yanfeng & Guo, Zhiping & Zhu, Xinyu & Li, Yuan & Song, Xiaowen & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Li, Qing’an, 2022. "Investigation of aerodynamic forces and flow field of an H-type vertical axis wind turbine based on bionic airfoil," Energy, Elsevier, vol. 242(C).
  73. Dallatu Abbas Umar & Chong Tak Yaw & Siaw Paw Koh & Sieh Kiong Tiong & Ammar Ahmed Alkahtani & Talal Yusaf, 2022. "Design and Optimization of a Small-Scale Horizontal Axis Wind Turbine Blade for Energy Harvesting at Low Wind Profile Areas," Energies, MDPI, vol. 15(9), pages 1-22, April.
  74. Zhang, Ye & Deng, Shuanghou & Wang, Xiaofang, 2019. "RANS and DDES simulations of a horizontal-axis wind turbine under stalled flow condition using OpenFOAM," Energy, Elsevier, vol. 167(C), pages 1155-1163.
  75. Vianna Neto, Júlio Xavier & Guerra Junior, Elci José & Moreno, Sinvaldo Rodrigues & Hultmann Ayala, Helon Vicente & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2018. "Wind turbine blade geometry design based on multi-objective optimization using metaheuristics," Energy, Elsevier, vol. 162(C), pages 645-658.
  76. Acarer, Sercan, 2020. "Peak lift-to-drag ratio enhancement of the DU12W262 airfoil by passive flow control and its impact on horizontal and vertical axis wind turbines," Energy, Elsevier, vol. 201(C).
  77. Long Wang & Ran Han & Tongguang Wang & Shitang Ke, 2018. "Uniform Decomposition and Positive-Gradient Differential Evolution for Multi-Objective Design of Wind Turbine Blade," Energies, MDPI, vol. 11(5), pages 1-19, May.
  78. Wang, Zheng & Zeng, Tiansheng & Chu, Xuening & Xue, Deyi, 2023. "Multi-objective deep reinforcement learning for optimal design of wind turbine blade," Renewable Energy, Elsevier, vol. 203(C), pages 854-869.
  79. Sun, Haoyang & Lin, Guiping & Jin, Haichuan & Bu, Xueqin & Cai, Chujiang & Jia, Qi & Ma, Kuiyuan & Wen, Dongsheng, 2021. "Experimental investigation of surface wettability induced anti-icing characteristics in an ice wind tunnel," Renewable Energy, Elsevier, vol. 179(C), pages 1179-1190.
  80. Sedaghat, Ahmad & Hassanzadeh, Arash & Jamali, Jamaloddin & Mostafaeipour, Ali & Chen, Wei-Hsin, 2017. "Determination of rated wind speed for maximum annual energy production of variable speed wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 781-789.
  81. Zhenye Sun & Matias Sessarego & Jin Chen & Wen Zhong Shen, 2017. "Design of the OffWindChina 5 MW Wind Turbine Rotor," Energies, MDPI, vol. 10(6), pages 1-20, June.
  82. Hernández-Escobedo, Quetzalcoatl & Perea-Moreno, Alberto-Jesús & Manzano-Agugliaro, Francisco, 2018. "Wind energy research in Mexico," Renewable Energy, Elsevier, vol. 123(C), pages 719-729.
  83. Junejo, Allah Rakhio & Gilal, Nauman Ullah & Doh, Jaehyeok, 2023. "Physics-informed optimization of robust control system to enhance power efficiency of renewable energy: Application to wind turbine," Energy, Elsevier, vol. 263(PB).
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