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This study proposes a novel machine learning (ML) methodology for the efficient and cost-effective prediction of high-fidelity three-dimensional velocity fields in the wake of utility-scale turbines. The model consists of an auto-encoder…

Wind farm modelling has been an area of rapidly increasing interest with numerous analytical as well as computational-based approaches developed to extend the margins of wind farm efficiency and maximise power production. In this work, we…

Machine Learning · Computer Science 2023-03-30 Sokratis Anagnostopoulos , Jens Bauer , Mariana C. A. Clare , Matthew D. Piggott

We introduce a gradient-free data-driven framework for optimizing the power output of a wind farm based on a Bayesian approach and large-eddy simulations. In contrast with conventional wind farm layout optimization strategies, which make…

Fluid Dynamics · Physics 2023-02-03 Nikolaos Bempedelis , Luca Magri

Wind farm layout optimization (WFLO) seeks to alleviate the wake loss and maximize wind farm power output efficiency, and is a crucial process in the design of wind energy projects.Since the optimization algorithms typically require…

Fluid Dynamics · Physics 2023-09-06 Zhenfan Wang , Yu Tu , Kai Zhang , Zhaolong Han , Yong Cao , Dai Zhou

Active yaw control (AYC) of wind turbines has been widely applied to increase the annual energy production (AEP) of a wind farm. AYC efficiency depends on the wind direction and the wind farm layout because an AYC method utilizes wake…

Optimization and Control · Mathematics 2022-10-06 Jeonghwan Song , Taewan Kim , Donghyun You

In recent years, wake steering has been established as a promising method to increase the energy yield of a wind farm. Current practice in estimating the benefit of wake steering on the annual energy production (AEP) consists of evaluating…

Reliable wind turbine power prediction is imperative to the planning, scheduling and control of wind energy farms for stable power production. In recent years Machine Learning (ML) methods have been successfully applied in a wide range of…

Wind farm design primarily depends on the variability of the wind turbine wake flows to the atmospheric wind conditions, and the interaction between wakes. Physics-based models that capture the wake flow-field with high-fidelity are…

Machine Learning · Computer Science 2021-11-17 S. Ashwin Renganathan , Romit Maulik , Stefano Letizia , Giacomo Valerio Iungo

This paper proposes a novel approach for optimal energy and reserve scheduling of wind farms by explicitly modelling wake interactions to enhance market participation and operational efficiency. Conventional methods often neglect wake…

Fluid Dynamics · Physics 2026-04-14 Marin Mabboux-Fort , Majid Bastankhah , Peter C Matthews , Mokhtar Bozorg

Improving the power output from wind farms is vital in transitioning to renewable electricity generation. However, in wind farms, wind turbines often operate in the wake of other turbines, leading to a reduction in the wind speed and the…

Fluid Dynamics · Physics 2024-07-31 Andrew Mole , Sylvain Laizet

This paper presents a new active power control algorithm designed to maximize the power reserve of the individual turbines in a farm, in order to improve the tracking accuracy of a power reference signal. The control architecture is based…

Fluid Dynamics · Physics 2023-07-11 Simone Tamaro , Carlo L. Bottasso

Successful development of wind farms relies on the optimal siting of wind turbines to maximize the power capacity under stochastic wind conditions and wake losses caused by neighboring turbines. This paper presents a novel method to quickly…

Optimization and Control · Mathematics 2021-02-19 Aditya Dhoot , Enrico G. A. Antonini , David A. Romero , Cristina H. Amon

Within wind farms, wake effects between turbines can significantly reduce overall energy production. Wind farm flow control encompasses methods designed to mitigate these effects through coordinated turbine control. Wake steering, for…

Machine Learning · Computer Science 2025-08-26 Elie Kadoche , Pascal Bianchi , Florence Carton , Philippe Ciblat , Damien Ernst

In terms of the operation of microgrids, optimal scheduling is a vital issue that must be taken into account. In this regard, this paper proposes an effective framework for optimal scheduling of renewable microgrids considering energy…

Systems and Control · Electrical Eng. & Systems 2022-08-10 Hossein Mohammadi , Shiva Jokar , Mojtaba Mohammadi , Abdollah Kavousifard , Morteza Dabbaghjamanesh

In large wind farms, wake distribution behind a wind turbine causes a considerable reduction of wind velocity for downstream wind turbines, resulting in a significant amount of power loss. Therefore, it is very crucial to predict wind…

Fluid Dynamics · Physics 2022-05-04 Jagdeep Singh , Jahrul Alam

This paper solves an approximate form of conservation of mass and momentum for a turbine in a wind farm array. The solution is a fairly simple explicit relationship that predicts the streamwise velocity distribution within a wind farm with…

Wind farms can increase annual energy production (AEP) with advanced control algorithms by coordinating the set points of individual turbine controllers across the farm. However, it remains a significant challenge to achieve performance…

Optimization and Control · Mathematics 2020-03-18 Yi Guo , Mario Rotea , Tyler Summers

Wind turbines located in wind farms are operated to maximize only their own power production. Individual operation results in wake losses that reduce farm energy. In this study, we operate a wind turbine array collectively to maximize total…

Offshore wind power is a renewable energy of growing relevance in current electric energy systems, presenting favorable wind conditions in comparison with the sites on land. However, the higher energy yield has to compensate the increment…

Computational Engineering, Finance, and Science · Computer Science 2025-02-04 Beatriz Perez , Roberto Minguez , Raul Guanche

The placement of wind turbines on a given area of land such that the wind farm produces a maximum amount of energy is a challenging optimization problem. In this article, we tackle this problem, taking into account wake effects that are…

Neural and Evolutionary Computing · Computer Science 2012-04-23 Markus Wagner , Jareth Day , Frank Neumann
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