A Novel Correlation Model for Horizontal Axis Wind Turbines Operating at High-Interference Flow Regimes

Rajan, Anurag; Ponta, Fernando L.

doi:10.3390/en12061148

Cited by 5 publications

(2 citation statements)

References 36 publications

(58 reference statements)

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“…Note that under the idealised assumption (i.e. F = 1), Betz's limit is achieved at a = 1/3 and c p = 16/27 [31]. However, when 0.5 ≤ a ≤ 1, the turbine is in the turbulent wake state where reverse flow is occuring downstream.…”

Section: The Classical Actuator Disc Momentum Theorymentioning

confidence: 98%

A method for fast and accurate prediction of wind turbine thrust coefficients using classical momentum theory and power curve

Tai,

Tan,

Moey

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The planning and development of windfarms require accurate prediction of the thrust coefficient (cT ) of wind turbines, which significantly affects the downstream wake. Traditional methods, such as blade element momentum theory (BEMT), often necessitate detailed geometric information of wind turbines for cT computation, information that is not frequently available, especially in the early stages of windfarm planning. This paper aims to address this challenge by presenting a novel and efficient approach to predict cT for horizontal-axis wind turbines (HAWTs). The proposed method integrates classical momentum theory with power curve data to estimate the average axial induction factor (a), thereby enabling the calculation of cT without requiring detailed geometric information of HAWTs. The method was validated against thirty-five existing pitch-controlled HAWTs, with R2 values ranging from 0.9604 to 0.9989. This validation confirms the accuracy of the method, making it a viable alternative to traditional techniques that demand comprehensive wind turbine geometric details. The method has demonstrated both rapidity and precision in cT computation for turbine wake analysis, ensuring high levels of prediction accuracy and potentially lowering the barrier to entry for windfarm development. Unlike existing models predominantly focused on wind turbine power curves, cT modelling has largely been overlooked. This study makes a unique contribution to the field by proposing a novel method for cT prediction, thereby filling a critical gap in windfarm planning and development. However, while the study shows promising results, further research is warranted to explore its applicability in diverse windfarm scenarios and turbine configurations.

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Section: The Classical Actuator Disc Momentum Theorymentioning

confidence: 98%

A method for fast and accurate prediction of wind turbine thrust coefficients using classical momentum theory and power curve

Tai,

Tan,

Moey

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Otero and Ponta [34] use the model to analyze the effects of bladesection misalignment on rotor cyclic loads. DRD-BEM is also used to study the effects of controlled gust pulses on rotor oscillatory response in Jalal et al [35] and Jalal et al [36], the response of adaptive blade designs in Lago et al [37], and the rotor's response in high-aerodynamic-interference conditions in Rajan and Ponta [38].…”

Section: Aeroelastic Modules Of Codefmentioning

confidence: 99%

Analysis of the Aeroelastic Dynamics of Lightweight Flexible Variations of the SNL-NRT Turbine

Farrell,

Ponta,

Baruah

2024

Applied Mechanics

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Current trends show that wind turbines are growing in size to meet a rising demand for renewable energy generation, and their upscaled rotors have inherently become more flexible to maintain a proportionally lighter design. This is because larger rotors must be less massive relative to their diameter to minimize the levelized cost of energy (LCOE), which means that blades that are notably less stiff are produced as a result. These structural changes to blades are often reflected in their compromised aeroelastic stability and amplified deformation during operation, which has the potential to decrease the blade’s expected lifetime and the performance of the machine overall. Variations in blade flexibility are also known to influence vortex-wake structures downstream of the turbine, causing patterns of velocity deficit to evolve in ways that affect the performance of other turbines in the farm. This research explores how the increased flexibility of modern utility-scale wind turbine blades influences rotor aeroelastic behavior and interactions with farm flow. High-fidelity simulations of Sandia National Laboratories’ (SNL) National Rotor Testbed (NRT) wind turbine are presented. Flexible variations of the NRT baseline blade are simulated in a variety of realistic operational conditions typically expected at the SNL’s SWiFT facility in Lubbock, Texas. Solutions are then compared to investigate how specific changes to the structural properties of the NRT baseline blade’s design and construction can influence its aeroelastic response at the rotor and the evolution of the turbine’s wake.

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Using blade element momentum methods with gradient-based design optimization

Ning

2021

Struct Multidisc Optim

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A Novel Correlation Model for Horizontal Axis Wind Turbines Operating at High-Interference Flow Regimes

Cited by 5 publications

References 36 publications

A method for fast and accurate prediction of wind turbine thrust coefficients using classical momentum theory and power curve

A method for fast and accurate prediction of wind turbine thrust coefficients using classical momentum theory and power curve

Analysis of the Aeroelastic Dynamics of Lightweight Flexible Variations of the SNL-NRT Turbine

Using blade element momentum methods with gradient-based design optimization

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