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Plant leaf-mimetic smart wind turbine blades by 4D printing

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  • Momeni, Farhang
  • Sabzpoushan, Seyedali
  • Valizadeh, Reza
  • Morad, Mohammad Reza
  • Liu, Xun
  • Ni, Jun

Abstract

Scientists have reported that plant leaf veins grow into an optimized architecture not only to accomplish their biological and physiological functions but also to sustain the environmental loads. Researchers showed that the wind blade mimicking the leaf architecture could always have relatively lower internal strain energy, better static strength and stiffness, smaller stress intensity, and higher fatigue life compared with the conventional blade structures. However, the plant leaf-mimetic wind blade has so far remained at the level of simulations. Here, a new paradigm for design and fabrication of wind blades is demonstrated by 4D printing process, which combines several beneficial attributes in one blade. The proposed blade having the plant leaf structure can show reversible bend-twist coupling (BTC). It does not rely on conventional electromechanical systems such as sensors and actuators to determine proper deflection and change its shape. Additionally, the existing blades capable of BTC through passive methods have inherent flutter instability since they need to be flexible. The proposed blade may solve the flutter challenge. Lastly, this multi-functional blade can lead to eco-friendly wind turbines. Wind-tunnel tests, CFD, and performance analysis are performed on the proposed blade to demonstrate its applicability.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:130:y:2019:i:c:p:329-351
    DOI: 10.1016/j.renene.2018.05.095
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    1. Nicholls-Lee, R.F. & Turnock, S.R. & Boyd, S.W., 2013. "Application of bend-twist coupled blades for horizontal axis tidal turbines," Renewable Energy, Elsevier, vol. 50(C), pages 541-550.
    2. Tummala, Abhishiktha & Velamati, Ratna Kishore & Sinha, Dipankur Kumar & Indraja, V. & Krishna, V. Hari, 2016. "A review on small scale wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1351-1371.
    3. MacPhee, David W. & Beyene, Asfaw, 2015. "Experimental and Fluid Structure Interaction analysis of a morphing wind turbine rotor," Energy, Elsevier, vol. 90(P1), pages 1055-1065.
    4. Peter J. Schubel & Richard J. Crossley, 2012. "Wind Turbine Blade Design," Energies, MDPI, vol. 5(9), pages 1-25, September.
    5. Eriksson, Sandra & Bernhoff, Hans & Leijon, Mats, 2008. "Evaluation of different turbine concepts for wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1419-1434, June.
    6. Howell, Robert & Qin, Ning & Edwards, Jonathan & Durrani, Naveed, 2010. "Wind tunnel and numerical study of a small vertical axis wind turbine," Renewable Energy, Elsevier, vol. 35(2), pages 412-422.
    7. Chen, Le & Harding, Chris & Sharma, Anupam & MacDonald, Erin, 2016. "Modeling noise and lease soft costs improves wind farm design and cost-of-energy predictions," Renewable Energy, Elsevier, vol. 97(C), pages 849-859.
    8. Xi Lu & Michael B. McElroy & Wei Peng & Shiyang Liu & Chris P. Nielsen & Haikun Wang, 2016. "Challenges faced by China compared with the US in developing wind power," Nature Energy, Nature, vol. 1(6), pages 1-6, June.
    9. Girard, R. & Laquaine, K. & Kariniotakis, G., 2013. "Assessment of wind power predictability as a decision factor in the investment phase of wind farms," Applied Energy, Elsevier, vol. 101(C), pages 609-617.
    10. Larwood, Scott & van Dam, C.P. & Schow, Daniel, 2014. "Design studies of swept wind turbine blades," Renewable Energy, Elsevier, vol. 71(C), pages 563-571.
    11. Hoogedoorn, Eelco & Jacobs, Gustaaf B. & Beyene, Asfaw, 2010. "Aero-elastic behavior of a flexible blade for wind turbine application: A 2D computational study," Energy, Elsevier, vol. 35(2), pages 778-785.
    12. Kate Marvel & Ben Kravitz & Ken Caldeira, 2013. "Geophysical limits to global wind power," Nature Climate Change, Nature, vol. 3(2), pages 118-121, February.
    13. Zhang, Xiaochun & Ma, Chun & Song, Xia & Zhou, Yuyu & Chen, Weiping, 2016. "The impacts of wind technology advancement on future global energy," Applied Energy, Elsevier, vol. 184(C), pages 1033-1037.
    14. Shuting Wan & Lifeng Cheng & Xiaoling Sheng, 2015. "Effects of Yaw Error on Wind Turbine Running Characteristics Based on the Equivalent Wind Speed Model," Energies, MDPI, vol. 8(7), pages 1-16, June.
    15. Yuanan Hu & Hefa Cheng, 2017. "Displacement efficiency of alternative energy and trans-provincial imported electricity in China," Nature Communications, Nature, vol. 8(1), pages 1-9, April.
    16. R. J. Barthelmie & S. C. Pryor, 2014. "Potential contribution of wind energy to climate change mitigation," Nature Climate Change, Nature, vol. 4(8), pages 684-688, August.
    17. Robert Vautard & Françoise Thais & Isabelle Tobin & François-Marie Bréon & Jean-Guy Devezeaux de Lavergne & Augustin Colette & Pascal Yiou & Paolo Michele Ruti, 2014. "Regional climate model simulations indicate limited climatic impacts by operational and planned European wind farms," Nature Communications, Nature, vol. 5(1), pages 1-9, May.
    18. Alexander E. MacDonald & Christopher T. M. Clack & Anneliese Alexander & Adam Dunbar & James Wilczak & Yuanfu Xie, 2016. "Future cost-competitive electricity systems and their impact on US CO2 emissions," Nature Climate Change, Nature, vol. 6(5), pages 526-531, May.
    19. Müller, Gerald & Jentsch, Mark F. & Stoddart, Euan, 2009. "Vertical axis resistance type wind turbines for use in buildings," Renewable Energy, Elsevier, vol. 34(5), pages 1407-1412.
    20. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
    21. Lenzen, Manfred & Munksgaard, Jesper, 2002. "Energy and CO2 life-cycle analyses of wind turbines—review and applications," Renewable Energy, Elsevier, vol. 26(3), pages 339-362.
    22. de Goeij, W. C. & van Tooren, M. J. L. & Beukers, A., 1999. "Implementation of bending-torsion coupling in the design of a wind-turbine rotor-blade," Applied Energy, Elsevier, vol. 63(3), pages 191-207, July.
    23. Ji, Shiyu & Chen, Bin, 2016. "Carbon footprint accounting of a typical wind farm in China," Applied Energy, Elsevier, vol. 180(C), pages 416-423.
    24. Chehouri, Adam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Review of performance optimization techniques applied to wind turbines," Applied Energy, Elsevier, vol. 142(C), pages 361-388.
    25. Mark Z. Jacobson & Cristina L. Archer & Willett Kempton, 2014. "Taming hurricanes with arrays of offshore wind turbines," Nature Climate Change, Nature, vol. 4(3), pages 195-200, March.
    26. Esteban, M. Dolores & Diez, J. Javier & López, Jose S. & Negro, Vicente, 2011. "Why offshore wind energy?," Renewable Energy, Elsevier, vol. 36(2), pages 444-450.
    27. Momeni, Farhang & Ni, Jun, 2018. "Nature-inspired smart solar concentrators by 4D printing," Renewable Energy, Elsevier, vol. 122(C), pages 35-44.
    28. Pavese, Christian & Kim, Taeseong & Murcia, Juan Pablo, 2017. "Design of a wind turbine swept blade through extensive load analysis," Renewable Energy, Elsevier, vol. 102(PA), pages 21-34.
    29. Gustave P. Corten & Herman F. Veldkamp, 2001. "Insects can halve wind-turbine power," Nature, Nature, vol. 412(6842), pages 41-42, July.
    30. Noyes, Carlos & Qin, Chao & Loth, Eric, 2018. "Pre-aligned downwind rotor for a 13.2 MW wind turbine," Renewable Energy, Elsevier, vol. 116(PA), pages 749-754.
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    2. Azael Duran Castillo & Juan C. Jauregui-Correa & Francisco Herbert & Krystel K. Castillo-Villar & Jesus Alejandro Franco & Quetzalcoatl Hernandez-Escobedo & Alberto-Jesus Perea-Moreno & Alfredo Alcayd, 2021. "The Effect of a Flexible Blade for Load Alleviation in Wind Turbines," Energies, MDPI, vol. 14(16), pages 1-15, August.

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