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Published on: February 13, 2018
Wind-Turbine and Wind-Farm Flows: A Review
Fernando Porté-Agel1, Majid Bastankhah1,2, Sina Shamsoddin1
11Wind Engineering and Renewable Energy Laboratory (WIRE), École Polytechnique Fédérale de Lausanne (EPFL), EPFL-ENAC-IIE-WIRE, 1015 Lausanne, Switzerland.
Predicting wind farm performance is crucial for renewable energy growth. Understanding complex atmospheric boundary layer (ABL) interactions with wind turbines improves energy production and reduces fatigue loads.
Area of Science:
- Fluid mechanics
- Renewable energy systems
- Atmospheric science
Background:
- Wind energy is vital for climate change mitigation and energy sustainability.
- Accurate wind farm performance prediction is essential for optimizing design, operation, and grid integration.
- Complex interactions between wind farms and the turbulent atmospheric boundary layer (ABL) pose significant challenges.
Purpose of the Study:
- To review recent research on the interactions between the atmospheric boundary layer (ABL) and wind turbines/farms.
- To enhance the understanding and predictive capabilities of these complex fluid mechanical interactions.
- To address challenges posed by high Reynolds numbers, flow unsteadiness, thermal effects, and terrain heterogeneity.
Main Methods:
- Summary of experimental research efforts.
- Overview of computational fluid dynamics (CFD) approaches.
- Synthesis of theoretical advancements in ABL-wind turbine interaction modeling.
Main Results:
- ABL turbulence significantly impacts wind turbine wake flows and power losses.
- Interactions lead to considerable turbine power losses and fatigue loads.
- These interactions also influence ABL structure and turbulent fluxes.
Conclusions:
- Improved understanding of ABL-wind turbine interactions is key to optimizing wind farm performance.
- Predictive models are advancing through integrated experimental, computational, and theoretical research.
- Addressing these complex interactions is critical for the future of wind energy.
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