Fernando Porte-Agel
Wind-Turbine and Wind-Farm Flows: A Review
Porte-Agel, Fernando; Bastankhah, Majid; Shamsoddin, Sina
Abstract
Wind energy, together with other renewable energy sources, are expected to grow substantially in the coming decades and play a key role in mitigating climate change and achieving energy sustainability. One of the main challenges in optimizing the design, operation, control, and grid integration of wind farms is the prediction of their performance, owing to the complex multiscale two-way interactions between wind farms and the turbulent atmospheric boundary layer (ABL). From a fluid mechanical perspective, these interactions are complicated by the high Reynolds number of the ABL flow, its inherent unsteadiness due to the diurnal cycle and synoptic-forcing variability, the ubiquitous nature of thermal effects, and the heterogeneity of the terrain. Particularly important is the effect of ABL turbulence on wind-turbine wake flows and their superposition, as they are responsible for considerable turbine power losses and fatigue loads in wind farms. These flow interactions affect, in turn, the structure of the ABL and the turbulent fluxes of momentum and scalars. This review summarizes recent experimental, computational, and theoretical research efforts that have contributed to improving our understanding and ability to predict the interactions of ABL flow with wind turbines and wind farms.
Citation
Porte-Agel, F., Bastankhah, M., & Shamsoddin, S. (2020). Wind-Turbine and Wind-Farm Flows: A Review. Boundary-Layer Meteorology, 174, 1-59. https://doi.org/10.1007/s10546-019-00473-0
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 2, 2019 |
Online Publication Date | Sep 20, 2019 |
Publication Date | 2020 |
Deposit Date | Sep 20, 2019 |
Publicly Available Date | Sep 24, 2019 |
Journal | Boundary-Layer Meteorology |
Print ISSN | 0006-8314 |
Electronic ISSN | 1573-1472 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 174 |
Pages | 1-59 |
DOI | https://doi.org/10.1007/s10546-019-00473-0 |
Public URL | https://durham-repository.worktribe.com/output/1320925 |
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Advance online version Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International
License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide
a link to the Creative Commons license, and indicate if changes were made.
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