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A review of surface engineering issues critical to wind turbine performance

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  1. Fillion, R.M. & Riahi, A.R. & Edrisy, A., 2014. "A review of icing prevention in photovoltaic devices by surface engineering," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 797-809.
  2. Liu, W.Y. & Zhang, W.H. & Han, J.G. & Wang, G.F., 2012. "A new wind turbine fault diagnosis method based on the local mean decomposition," Renewable Energy, Elsevier, vol. 48(C), pages 411-415.
  3. Hussein, Ahmed Kadhim, 2015. "Applications of nanotechnology in renewable energies—A comprehensive overview and understanding," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 460-476.
  4. Slot, H.M. & Gelinck, E.R.M. & Rentrop, C. & van der Heide, E., 2015. "Leading edge erosion of coated wind turbine blades: Review of coating life models," Renewable Energy, Elsevier, vol. 80(C), pages 837-848.
  5. Bakhtiari, Ehsan, 2019. "Super-hydrophobicity effects on performance of a dynamic wind turbine blade element under yaw loads," Renewable Energy, Elsevier, vol. 140(C), pages 539-551.
  6. Sergio Campobasso, M. & Castorrini, Alessio & Ortolani, Andrea & Minisci, Edmondo, 2023. "Probabilistic analysis of wind turbine performance degradation due to blade erosion accounting for uncertainty of damage geometry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
  7. Xiao Yan & Samuel C. Y. Au & Sui Cheong Chan & Ying Lung Chan & Ngai Chun Leung & Wa Yat Wu & Dixon T. Sin & Guanlei Zhao & Casper H. Y. Chung & Mei Mei & Yinchuang Yang & Huihe Qiu & Shuhuai Yao, 2024. "Unraveling the role of vaporization momentum in self-jumping dynamics of freezing supercooled droplets at reduced pressures," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  8. Son, Chankyu & Kelly, Mark & Kim, Taeseong, 2021. "Boundary-layer transition model for icing simulations of rotating wind turbine blades," Renewable Energy, Elsevier, vol. 167(C), pages 172-183.
  9. Yan Li & He Shen & Wenfeng Guo, 2021. "Simulation and Experimental Study on the Ultrasonic Micro-Vibration De-Icing Method for Wind Turbine Blades," Energies, MDPI, vol. 14(24), pages 1-15, December.
  10. Gao, Linyue & Liu, Yang & Zhou, Wenwu & Hu, Hui, 2019. "An experimental study on the aerodynamic performance degradation of a wind turbine blade model induced by ice accretion process," Renewable Energy, Elsevier, vol. 133(C), pages 663-675.
  11. Tarroja, Brian & Mueller, Fabian & Eichman, Joshua D. & Brouwer, Jack & Samuelsen, Scott, 2011. "Spatial and temporal analysis of electric wind generation intermittency and dynamics," Renewable Energy, Elsevier, vol. 36(12), pages 3424-3432.
  12. Wang, Yibing & Xu, Yuanming & Lei, Yuyong, 2018. "An effect assessment and prediction method of ultrasonic de-icing for composite wind turbine blades," Renewable Energy, Elsevier, vol. 118(C), pages 1015-1023.
  13. Yang, Muchen & Xiao, Zhixiang, 2019. "Distributed roughness induced transition on wind-turbine airfoils simulated by four-equation k-ω-γ-Ar transition model," Renewable Energy, Elsevier, vol. 135(C), pages 1166-1177.
  14. Wu, Yunna & Li, Yang & Ba, Xi & Wang, Heping, 2013. "Post-evaluation indicator framework for wind farm planning in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 26-34.
  15. Tang, Baoping & Liu, Wenyi & Song, Tao, 2010. "Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution," Renewable Energy, Elsevier, vol. 35(12), pages 2862-2866.
  16. Cheng, Xu & Shi, Fan & Liu, Yongping & Liu, Xiufeng & Huang, Lizhen, 2022. "Wind turbine blade icing detection: a federated learning approach," Energy, Elsevier, vol. 254(PC).
  17. André D. Thess & Philipp Lengsfeld, 2022. "Side Effects of Wind Energy: Review of Three Topics—Status and Open Questions," Sustainability, MDPI, vol. 14(23), pages 1-17, December.
  18. Pryor, S.C. & Barthelmie, R.J., 2010. "Climate change impacts on wind energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 430-437, January.
  19. Hu, Liangquan & Zhu, Xiaocheng & Hu, Chenxing & Chen, Jinge & Du, Zhaohui, 2017. "Wind turbines ice distribution and load response under icing conditions," Renewable Energy, Elsevier, vol. 113(C), pages 608-619.
  20. Marta Terrados-Cristos & Francisco Ortega-Fernández & Marina Díaz-Piloñeta & Vicente Rodríguez Montequín & José Valeriano Álvarez Cabal, 2023. "Enhancing Wind Erosion Assessment of Metal Structures on Dry and Degraded Lands through Machine Learning," Land, MDPI, vol. 12(8), pages 1-16, July.
  21. Upma Singh & Mohammad Rizwan & Hasmat Malik & Fausto Pedro García Márquez, 2022. "Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review," Energies, MDPI, vol. 15(6), pages 1-39, March.
  22. Bakhtiari, Ehsan & Gharali, Kobra & Chini, Farshid & Al-Haq, Armughan & Nathwani, Jatin, 2023. "Slip influence on a blade performance under different pitch-oscillating motion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
  23. Dollinger, Christoph & Balaresque, Nicholas & Gaudern, Nicholas & Gleichauf, Daniel & Sorg, Michael & Fischer, Andreas, 2019. "IR thermographic flow visualization for the quantification of boundary layer flow disturbances due to the leading edge condition," Renewable Energy, Elsevier, vol. 138(C), pages 709-721.
  24. Wang, Yibing & Xu, Yuanming & Su, Fei, 2020. "Damage accumulation model of ice detach behavior in ultrasonic de-icing technology," Renewable Energy, Elsevier, vol. 153(C), pages 1396-1405.
  25. de Oliveira Nogueira, Tiago & Palacio, Gilderlânio Barbosa Alves & Braga, Fabrício Damasceno & Maia, Pedro Paulo Nunes & de Moura, Elineudo Pinho & de Andrade, Carla Freitas & Rocha, Paulo Alexandre C, 2022. "Imbalance classification in a scaled-down wind turbine using radial basis function kernel and support vector machines," Energy, Elsevier, vol. 238(PC).
  26. Zhao, Zhen-yu & Ling, Wen-jun & Zillante, George & Zuo, Jian, 2012. "Comparative assessment of performance of foreign and local wind turbine manufacturers in China," Renewable Energy, Elsevier, vol. 39(1), pages 424-432.
  27. Han, Woobeom & Kim, Jonghwa & Kim, Bumsuk, 2018. "Effects of contamination and erosion at the leading edge of blade tip airfoils on the annual energy production of wind turbines," Renewable Energy, Elsevier, vol. 115(C), pages 817-823.
  28. James W. K. Nash & Iasonas Zekos & Margaret M. Stack, 2021. "Mapping of Meteorological Observations over the Island of Ireland to Enhance the Understanding and Prediction of Rain Erosion in Wind Turbine Blades," Energies, MDPI, vol. 14(15), pages 1-34, July.
  29. Moura Carneiro, F.O. & Barbosa Rocha, H.H. & Costa Rocha, P.A., 2013. "Investigation of possible societal risk associated with wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 30-36.
  30. S. Pryor & R. Barthelmie, 2013. "Assessing the vulnerability of wind energy to climate change and extreme events," Climatic Change, Springer, vol. 121(1), pages 79-91, November.
  31. Matthias Schramm & Hamid Rahimi & Bernhard Stoevesandt & Kim Tangager, 2017. "The Influence of Eroded Blades on Wind Turbine Performance Using Numerical Simulations," Energies, MDPI, vol. 10(9), pages 1-15, September.
  32. Melo Junior, Francisco Erivan de Abreu & de Moura, Elineudo Pinho & Costa Rocha, Paulo Alexandre & de Andrade, Carla Freitas, 2019. "Unbalance evaluation of a scaled wind turbine under different rotational regimes via detrended fluctuation analysis of vibration signals combined with pattern recognition techniques," Energy, Elsevier, vol. 171(C), pages 556-565.
  33. Fakorede, Oloufemi & Feger, Zoé & Ibrahim, Hussein & Ilinca, Adrian & Perron, Jean & Masson, Christian, 2016. "Ice protection systems for wind turbines in cold climate: characteristics, comparisons and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 662-675.
  34. Alessio Castorrini & Paolo Venturini & Aldo Bonfiglioli, 2022. "Generation of Surface Maps of Erosion Resistance for Wind Turbine Blades under Rain Flows," Energies, MDPI, vol. 15(15), pages 1-14, August.
  35. Valery Okulov & Ivan Kabardin & Dmitry Mukhin & Konstantin Stepanov & Nastasia Okulova, 2021. "Physical De-Icing Techniques for Wind Turbine Blades," Energies, MDPI, vol. 14(20), pages 1-16, October.
  36. Mohammad Hassan Khanjanpour & Akbar A. Javadi, 2020. "Experimental and CFD Analysis of Impact of Surface Roughness on Hydrodynamic Performance of a Darrieus Hydro (DH) Turbine," Energies, MDPI, vol. 13(4), pages 1-18, February.
  37. Kuznetsova, Elizaveta & Li, Yan-Fu & Ruiz, Carlos & Zio, Enrico & Ault, Graham & Bell, Keith, 2013. "Reinforcement learning for microgrid energy management," Energy, Elsevier, vol. 59(C), pages 133-146.
  38. Ma, Liqun & Zhang, Zichen & Gao, Linyue & Liu, Yang & Hu, Hui, 2020. "An exploratory study on using Slippery-Liquid-Infused-Porous-Surface (SLIPS) for wind turbine icing mitigation," Renewable Energy, Elsevier, vol. 162(C), pages 2344-2360.
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