Results 11 to 20 of about 23,985,715 (300)
Energy, 2022 Wake interactions between wind turbines have a great impact on the overall performance of a wind farm. In this work, a novel deep learning method, called Bilateral Convolutional Neural Network (BiCNN), is proposed and then employed to accurately model ...
Rui Li, Jincheng Zhang, Xiaowei Zhao
semanticscholar +1 more source
Wind farm wake modeling based on deep convolutional conditional generative adversarial network
, 2022 Modeling of wind farm wakes is of great importance for the optimal design and operation of wind farms. In this work a surrogate modeling method for parametrized fluid flows is proposed for wind farm wake modeling, based on the state-of-the-art deep ...
Jincheng Zhang, Xiaowei Zhao
semanticscholar +1 more source
A non-symmetric Gaussian wake model for lateral wake-to-wake interactions
Journal of Physics: Conference Series, 2023 Abstract In this paper, we propose a new non-symmetric Gaussian wake model, which allows for different lateral expansions on the two sides of a wake to account for its interaction with neighbouring wakes. The proposed model is formulated following classical speed-deficit assumptions and momentum conservation.
A Vad, S Tamaro, C L Bottasso
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Joukowski’s wake model for tip-splitting rotors [PDF]
Journal of Physics: Conference Series, 2021 Abstract The interaction between a tip vortex and a solid surface is responsible for premature structural component fatigue in wind turbines and undesirable noise in helicopter rotors during low speed and descending flight. One noise reduction strategy uses a modified airfoil to split and spread the vorticity in two tip vortices.
Castillo-Castellanos, Andrés +2 more
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A Calibration Procedure for an Analytical Wake Model Using Wind Farm Operational Data
Energies, 2020 Wind energy is one of the fastest growing renewable energy sources in the U.S. Wind turbine wakes change the flow field within wind farms and reduce power generation. Prior research has used experimental and computational methods to investigate and model
Jian Teng, Corey D. Markfort
doaj +1 more source
Stochastic Dynamical Modeling of Wind Farm Turbulence
Energies, 2023 Low-fidelity engineering wake models are often combined with linear superposition laws to predict wake velocities across wind farms under steady atmospheric conditions.
Aditya H. Bhatt +4 more
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Energies, 2021 This work presents a comparison study of the CFD modeling with two different turbulence modeling approaches viz. unsteady RANS and LES, on a full-scale model of the (New) MEXICO rotor wind turbine.
Shantanu Purohit +2 more
doaj +1 more source
Quantification of parameter uncertainty in wind farm wake modeling
Energy, 2020 Reliable prediction of wind turbine wakes is essential for the optimal design and operation of wind farms. In order to achieve this, the parameter uncertainty of analytical wake model is investigated for the first time.
Jincheng Zhang, Xiaowei Zhao
semanticscholar +1 more source
Multi-model ensemble wake vortex prediction [PDF]
Aircraft Engineering and Aerospace Technology, 2016 Purpose Wake vortices that are generated by an aircraft as a consequence of lift constitute a potential danger to the following aircraft. To predict and avoid dangerous situations, wake vortex transport and decay models have been developed. Being based on different model physics, they can complement each other with their individual strengths ...
Körner, Stephan, Holzäpfel, Frank
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Neighborhood Effects in Wind Farm Performance: A Regression Approach
Energies, 2017 The optimization of turbine density in wind farms entails a trade-off between the usage of scarce, expensive land and power losses through turbine wake effects.
Matthias Ritter +2 more
doaj +1 more source