Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-43-2018
© Author(s) 2018. 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-3-43-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2018
Research article |
| 28 Feb 2018
| 28 Feb 2018
Assessing spacing impact on coherent features in a wind turbine array boundary layer
Naseem Ali
Department of Mechanical and Materials Engineering, Portland State University, Portland, Oregon, USA
Nicholas Hamilton
National Renewable Energy Laboratory, Boulder, Colorado 80401, USA
Dominic DeLucia
Department of Mechanical and Materials Engineering, Portland State University, Portland, Oregon, USA
Raúl Bayoán Cal
CORRESPONDING AUTHOR
Department of Mechanical and Materials Engineering, Portland State University, Portland, Oregon, USA
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Cited
20 citations as recorded by crossref.
- Turbulence kinetic energy budget and conditional sampling of momentum, scalar, and intermittency fluxes in thermally stratified wind farms N. Ali et al. 10.1080/14685248.2018.1564831
- POD‐based analysis of a wind turbine wake under the influence of tower and nacelle G. De Cillis et al. 10.1002/we.2592
- Dynamic-mode-decomposition of the wake of the NREL-5MW wind turbine impinged by a laminar inflow G. De Cillis et al. 10.1016/j.renene.2022.08.113
- Toward understanding waked flow fields behind a wind turbine using proper orthogonal decomposition J. Moon & L. Manuel 10.1063/5.0035751
- Classification of the Reynolds stress anisotropy tensor in very large thermally stratified wind farms using colormap image segmentation N. Ali et al. 10.1063/1.5113654
- Scale evolution, intermittency and fluctuation relations in the near-wake of a wind turbine array N. Ali & R. Cal 10.1016/j.chaos.2018.12.018
- Multi-scale/fractal processes in the wake of a wind turbine array boundary layer N. Ali et al. 10.1080/14685248.2019.1590584
- Clustering sparse sensor placement identification and deep learning based forecasting for wind turbine wakes N. Ali et al. 10.1063/5.0036281
- Increasing the efficiency of wind farms F. Hassan et al. 10.21285/1814-3520-2022-2-217-227
- Floating wind farm experiments through scaling for wake characterization, power extraction, and turbine dynamics J. Bossuyt et al. 10.1103/PhysRevFluids.8.120501
- Characterizing tilt effects on wind plants R. Scott et al. 10.1063/5.0009853
- Multirotor wind turbine wakes M. Bastankhah & M. Abkar 10.1063/1.5097285
- Cluster-based probabilistic structure dynamical model of wind turbine wake N. Ali et al. 10.1080/14685248.2021.1925125
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- The flow field within a staggered hydrokinetic turbine array Y. Chen et al. 10.1016/j.renene.2024.120046
- Quantification of Preferential Contribution of Reynolds Shear Stresses and Flux of Mean Kinetic Energy Via Conditional Sampling in a Wind Turbine Array H. Kadum et al. 10.1115/1.4040568
- Systematic analysis of performance and cost of two floating offshore wind turbines with significant interactions L. Zhang et al. 10.1016/j.apenergy.2022.119341
- Dynamic effects of inertial particles on the wake recovery of a model wind turbine S. Smith et al. 10.1016/j.renene.2020.09.037
- Performance and wake characteristics of tidal turbines in an infinitely large array P. Ouro & T. Nishino 10.1017/jfm.2021.692
- Predictive modeling of wake flow for a floating offshore wind turbine using dynamic mode decomposition X. Zhao et al. 10.1016/j.oceaneng.2025.121590
20 citations as recorded by crossref.
- Turbulence kinetic energy budget and conditional sampling of momentum, scalar, and intermittency fluxes in thermally stratified wind farms N. Ali et al. 10.1080/14685248.2018.1564831
- POD‐based analysis of a wind turbine wake under the influence of tower and nacelle G. De Cillis et al. 10.1002/we.2592
- Dynamic-mode-decomposition of the wake of the NREL-5MW wind turbine impinged by a laminar inflow G. De Cillis et al. 10.1016/j.renene.2022.08.113
- Toward understanding waked flow fields behind a wind turbine using proper orthogonal decomposition J. Moon & L. Manuel 10.1063/5.0035751
- Classification of the Reynolds stress anisotropy tensor in very large thermally stratified wind farms using colormap image segmentation N. Ali et al. 10.1063/1.5113654
- Scale evolution, intermittency and fluctuation relations in the near-wake of a wind turbine array N. Ali & R. Cal 10.1016/j.chaos.2018.12.018
- Multi-scale/fractal processes in the wake of a wind turbine array boundary layer N. Ali et al. 10.1080/14685248.2019.1590584
- Clustering sparse sensor placement identification and deep learning based forecasting for wind turbine wakes N. Ali et al. 10.1063/5.0036281
- Increasing the efficiency of wind farms F. Hassan et al. 10.21285/1814-3520-2022-2-217-227
- Floating wind farm experiments through scaling for wake characterization, power extraction, and turbine dynamics J. Bossuyt et al. 10.1103/PhysRevFluids.8.120501
- Characterizing tilt effects on wind plants R. Scott et al. 10.1063/5.0009853
- Multirotor wind turbine wakes M. Bastankhah & M. Abkar 10.1063/1.5097285
- Cluster-based probabilistic structure dynamical model of wind turbine wake N. Ali et al. 10.1080/14685248.2021.1925125
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- The flow field within a staggered hydrokinetic turbine array Y. Chen et al. 10.1016/j.renene.2024.120046
- Quantification of Preferential Contribution of Reynolds Shear Stresses and Flux of Mean Kinetic Energy Via Conditional Sampling in a Wind Turbine Array H. Kadum et al. 10.1115/1.4040568
- Systematic analysis of performance and cost of two floating offshore wind turbines with significant interactions L. Zhang et al. 10.1016/j.apenergy.2022.119341
- Dynamic effects of inertial particles on the wake recovery of a model wind turbine S. Smith et al. 10.1016/j.renene.2020.09.037
- Performance and wake characteristics of tidal turbines in an infinitely large array P. Ouro & T. Nishino 10.1017/jfm.2021.692
- Predictive modeling of wake flow for a floating offshore wind turbine using dynamic mode decomposition X. Zhao et al. 10.1016/j.oceaneng.2025.121590
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