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.

Highlights

  • Renewable energy is expected to play a major role in meeting future world energy needs while mitigating climate change and environmental pollution

  • The amount of the wake deflection has been found to increase with: (i) the increase of yaw angle (Jiménez et al 2010; Fleming et al 2014), (ii) the increase of thrust coefficient (Jiménez et al 2010), (iii) the decrease in incoming turbulence intensity (Bastankhah and Porté-Agel 2016), and (iv) the increase of thermal stability (Churchfield et al 2016; Vollmer et al 2016). This suggests that the yaw-angle control of wind turbines is more plausible for offshore wind farms, or for turbines operating in a stable boundary layer

  • In the morning and evening transitions, even if the background atmospheric boundary layer (ABL) can be considered as near-neutral in both cases, the wind-farm power deficit due to wake effects can be rather different. This is because wake recovery and, power losses are influenced by the overall flow characteristics, which depend on the previous stable or unstable regimes (Abkar et al 2016)

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Summary

Introduction

Renewable energy is expected to play a major role in meeting future world energy needs while mitigating climate change and environmental pollution. While world energy demand continues to increase at an average annual rate of about 2%, most of that demand (around 80%) is being met by fossil fuels (IEA 2018), with the well-known negative impacts on the environment and climate. This, together with the growing safety concerns surrounding nuclear energy, has led many countries to set ambitious strategic targets for renewable energies with low greenhouse gas and pollutant emissions, including wind energy

Present Address
Flow Around a Wind Turbine
Tip and Root Vortices
Hub Vortex
Mean Flow Distribution
Far-Wake
Wake Meandering
Analytical Wake Modelling
Yawed Conditions
Thermal Effects
Flow Regions Inside and Around a Wind Farm
Finite-Size Wind-Farm Flows
Analytical Modelling of Finite-Size Wind-Farm Flows
Free-Atmosphere Stratification
Surface-Layer Stability Effects
Diurnal Cycle
Effect of Wind Farms on Local Meteorology
Wind-Farm Parametrization in Weather and Climate Models
Topography
Vertical-Axis Wind Turbines
Summary
Findings
Future Perspectives
Full Text
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