Articles | Volume 5, issue 1
https://doi.org/10.5194/wes-5-51-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-51-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jan 2020
Research article |
| 06 Jan 2020
| 06 Jan 2020
Effect of tip spacing, thrust coefficient and turbine spacing in multi-rotor wind turbines and farms
Center for Turbulence Research, Stanford University, Stanford, CA 94305, USA
Department of Mechanical and Aerospace Engineering, Indian Institute of Technology Hyderabad, Kandi, Telangana 502285, India
Aditya S. Ghate
Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA
Sanjiva K. Lele
Center for Turbulence Research, Stanford University, Stanford, CA 94305, USA
Department of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA
Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
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24 citations as recorded by crossref.
- A new three-dimensional analytical model for wind turbine wake turbulence intensity predictions L. Tian et al. 10.1016/j.renene.2022.02.115
- Large-Eddy Simulation of a wind turbine using a Filtered Actuator Line Model R. Stanly et al. 10.1016/j.jweia.2021.104868
- Effect of yaw on aerodynamic performance of co-planar multi-rotor wind turbines S. Lin et al. 10.1016/j.oceaneng.2023.114441
- Experimental Study on the Effect of the Blade Tip Distance on the Power and the Wake Recovery with Small Multi-Rotor Wind Turbines S. Gong et al. 10.3390/jmse11050891
- Influence of Wake Model Superposition and Secondary Steering on Model-Based Wake Steering Control with SCADA Data Assimilation M. Howland & J. Dabiri 10.3390/en14010052
- Investigating the performance of double-rotor wind turbine arrangement in large wind farms using the LES method V. Sharafabadi & M. Fathali 10.1007/s12206-024-0121-1
- Evaluation of wind farm performance over heterogeneously rough terrain using large eddy simulation N. Kethavath & N. Ghaisas 10.1088/1742-6596/2767/9/092016
- A coupled immersed boundary method and wall modelling framework for high-Reynolds number flows over complex terrain J. Patel et al. 10.1016/j.compfluid.2024.106457
- Wind farm yaw control set-point optimization under model parameter uncertainty M. Howland 10.1063/5.0051071
- Large-eddy simulation and analytical modeling study of the wake of a wind turbine behind an abrupt rough-to-smooth surface roughness transition N. Kethavath et al. 10.1063/5.0129022
- Evaluating anisotropic minimum dissipation, sigma and modulated gradient subgrid-scale models in large-eddy simulation of compressible mixing layers P. Vishwaja & N. Ghaisas 10.1080/14685248.2023.2297901
- Experimental study of the wake of multi-rotor turbine X. Xiong et al. 10.1016/j.oceaneng.2022.113594
- The Influence of Topographical Variations on Wind Turbine Wake Characteristics Using LES J. Patel et al. 10.1088/1742-6596/2767/9/092086
- A novel wake control strategy for a twin-rotor floating wind turbine: Mitigating wake effect Z. Zhang et al. 10.1016/j.energy.2023.129619
- CFD simulation of the aerodynamic performance of co-axial multi-rotor wind turbines using the actuator line method S. Bian et al. 10.1016/j.oceaneng.2024.118933
- Performance and fatigue analysis of an integrated floating wind-current energy system considering the aero-hydro-servo-elastic coupling effects Y. Yang et al. 10.1016/j.renene.2023.119111
- Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
- Experimental Investigation on the Effect of Lateral Turbine Spacing on Interactions of Wakes J. Maus et al. 10.1088/1742-6596/2265/4/042064
- An advanced three-dimensional analytical model for wind turbine near and far wake predictions L. Tian et al. 10.1016/j.renene.2024.120035
- Large Eddy Simulation Study of Atmospheric Boundary Layer Flow over an Abrupt Rough-to-Smooth Surface Roughness Transition K. Mondal et al. 10.1007/s10546-023-00811-3
- Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-5-1315-2020
- CFD Simulation of Co-Planar Multi-Rotor Wind Turbine Aerodynamic Performance Based on ALM Method Y. Zhang et al. 10.3390/en15176422
- Effect of an abrupt rough-to-smooth surface roughness transition on wind farm wakes: An LES and analytical modeling study N. Kethavath & N. Ghaisas 10.1063/5.0202733
- Multi-rotor Wind Farm Layout Optimization N. Kirchner-Bossi & F. Porté-Agel 10.1088/1742-6596/1618/3/032014
Latest update: 23 Nov 2024
Short summary
Wakes of a multi-rotor wind turbine configuration are evaluated using numerical simulations. Compared to equivalent conventional single-rotor turbine wakes, multi-rotor turbine wakes are found to recover faster and generate less turbulence; thus, multi-rotor turbine wind farms are more efficient, with smaller wake losses. The benefits of multi-rotor wind farms over conventional wind farms are sensitive to tip spacing, thrust coefficient and turbine spacing.
Wakes of a multi-rotor wind turbine configuration are evaluated using numerical simulations....
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