Characterization of wind turbine flow through nacelle-mounted lidars: a review

S Letizia, P Brugger, N Bodini… - Frontiers in …, 2023 - frontiersin.org
This article provides a comprehensive review of the most recent advances in the planning,
execution, and analysis of inflow and wake measurements from nacelle-mounted wind …

Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model

CJ Bay, P Fleming, B Doekemeijer… - Wind Energy …, 2022 - wes.copernicus.org
Wind farm design and analysis heavily rely on computationally efficient engineering models
that are evaluated many times to find an optimal solution. A recent article compared the state …

Towards multi-fidelity deep learning of wind turbine wakes

S Pawar, A Sharma, G Vijayakumar, CJ Bay… - Renewable Energy, 2022 - Elsevier
Engineering wake models that accurately predict wake in a computationally efficient manner
are very important for tasks such as layout optimization and control of wind farms. In this …

[HTML][HTML] The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows

LA Martínez-Tossas, J King, E Quon… - Wind Energy …, 2021 - wes.copernicus.org
Wind turbine wake models typically require approximations, such as wake superposition
and deflection models, to accurately describe wake physics. However, capturing the …

Prediction of multiple-wake velocity and wind power using a cosine-shaped wake model

Z Zhang, P Huang - Renewable Energy, 2023 - Elsevier
It is well accepted the wakes induced by upstream turbines have an adverse impact on the
power production of downstream turbines and this ubiquitous phenomenon severely affects …

Comparison of the Gaussian wind farm model with historical data of three offshore wind farms

BM Doekemeijer, E Simley, P Fleming - Energies, 2022 - mdpi.com
A recent expert elicitation showed that model validation remains one of the largest barriers
for commercial wind farm control deployment. The Gaussian-shaped wake deficit model has …

Automatic grouping of wind turbine types via multi-objective formulation for nonuniform wind farm layout optimization using an analytical wake model

A de Moura Ribeiro, PH Hallak… - Energy Conversion and …, 2024 - Elsevier
This study introduces a novel methodology that aims to minimize the number of different
wind turbine types used in nonuniform wind farms. This approach involves a trade-off to …

[HTML][HTML] The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data

R Braunbehrens, A Vad, CL Bottasso - Wind Energy Science, 2023 - wes.copernicus.org
This paper describes a method to identify the heterogenous flow characteristics that develop
within a wind farm in its interaction with the atmospheric boundary layer. The whole farm is …

Predictive capability of an improved AD/RANS method for multiple wind turbines and wind farm wakes

L Tian, Y Song, Z Wang, N Zhao, C Zhu, X Lu - Energy, 2024 - Elsevier
The actuator disc (AD) model combined with the Reynolds-averaged Navier-Stokes (RANS)
model has been demonstrated as the most effective approach for simulating wind farm …

Design and analysis of a spatially heterogeneous wake

A Farrell, J King, C Draxl, R Mudafort… - Wind Energy …, 2020 - wes.copernicus.org
Methods of turbine wake modeling are being developed to more accurately account for
spatially variant atmospheric conditions within wind farms. Most current wake modeling …