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Editorial on Special Issue “Wind Turbine Power Optimization Technology”

Author

Listed:
  • Francesco Castellani

    (Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
    These authors contributed equally to this work.)

  • Davide Astolfi

    (Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
    These authors contributed equally to this work.)

Abstract

This Special Issue collects innovative contributions in the field of wind turbine optimization technology. The general motivation of the present Special Issue is given by the fact that there has recently been a considerable boost of the quest for wind turbine efficiency optimization in the academia and in the wind energy practitioners communities. The optimization can be focused on technology and operation of single turbine or a group of machines within a wind farm. This perspective is evidently multi-faced and the seven papers composing this Special Issue provide a representative picture of the most ground-breaking state of the art about the subject. Wind turbine power optimization means scientific research about the design of innovative aerodynamic solutions for wind turbine blades and of wind turbine single or collective control, especially for increasing rotor size and exploitation in offshore environment. It should be noticed that some recently developed aerodynamic and control solutions have become available in the industry practice and therefore an interesting line of development is the assessment of the actual impact of optimization technology for wind turbines operating in field: this calls for non-trivial data analysis and statistical methods. The optimization approach must be 360 degrees; for this reason also offshore resource should be addressed with the most up to date technologies such as floating wind turbines, in particular as regards support structures and platforms to be employed in ocean environment. Finally, wind turbine power optimization means as well improving wind farm efficiency through innovative uses of pre-existent control techniques: this is employed, for example, for active control of wake interactions in order to maximize the energy yield and minimize the fatigue loads.

Suggested Citation

  • Francesco Castellani & Davide Astolfi, 2020. "Editorial on Special Issue “Wind Turbine Power Optimization Technology”," Energies, MDPI, vol. 13(7), pages 1-4, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1796-:d:342794
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    References listed on IDEAS

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    1. Juhun Song & Hee-Chang Lim, 2019. "Study of Floating Wind Turbine with Modified Tension Leg Platform Placed in Regular Waves," Energies, MDPI, vol. 12(4), pages 1-18, February.
    2. Davide Astolfi & Francesco Castellani, 2019. "Wind Turbine Power Curve Upgrades: Part II," Energies, MDPI, vol. 12(8), pages 1-20, April.
    3. Xiaobing Kong & Lele Ma & Xiangjie Liu & Mohamed Abdelkarim Abdelbaky & Qian Wu, 2020. "Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions," Energies, MDPI, vol. 13(1), pages 1-21, January.
    4. 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.
    5. Iñigo Aramendia & Unai Fernandez-Gamiz & Ekaitz Zulueta & Aitor Saenz-Aguirre & Daniel Teso-Fz-Betoño, 2019. "Parametric Study of a Gurney Flap Implementation in a DU91W(2)250 Airfoil," Energies, MDPI, vol. 12(2), pages 1-14, January.
    6. Lu Ma & Xiaodong Wang & Jian Zhu & Shun Kang, 2019. "Dynamic Stall of a Vertical-Axis Wind Turbine and Its Control Using Plasma Actuation," Energies, MDPI, vol. 12(19), pages 1-18, September.
    7. Zhenzhou Shao & Ying Wu & Li Li & Shuang Han & Yongqian Liu, 2019. "Multiple Wind Turbine Wakes Modeling Considering the Faster Wake Recovery in Overlapped Wakes," Energies, MDPI, vol. 12(4), pages 1-14, February.
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    Cited by:

    1. Fahed Martini & Adrian Ilinca & Patrick Rizk & Hussein Ibrahim & Mohamad Issa, 2022. "A Survey of the Quasi-3D Modeling of Wind Turbine Icing," Energies, MDPI, vol. 15(23), pages 1-32, November.
    2. Fahed Martini & Leidy Tatiana Contreras Montoya & Adrian Ilinca, 2021. "Review of Wind Turbine Icing Modelling Approaches," Energies, MDPI, vol. 14(16), pages 1-26, August.

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