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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

We present a novel data-driven nested optimization framework that addresses the problem of coupling between plant and controller optimization. This optimization strategy is tailored towards instances where a closed-form expression for the…

Systems and Control · Electrical Eng. & Systems 2024-12-20 Ali Baheri , Chris Vermillion

Air pollution is one of the most important causes of mortality in the world. Monitoring air pollution is useful to learn more about the link between health and pollutants, and to identify areas for intervention. Such monitoring is…

Machine Learning · Computer Science 2022-08-30 Sigrid Passano Hellan , Christopher G. Lucas , Nigel H. Goddard

Within the last 20 years, wind turbines have reached matured and the growing worldwide wind energy market will allow further improvements. In the recent decades, the numbers of research papers that have applied optimization techniques in…

Optimization and Control · Mathematics 2016-10-05 Adam Chehouri , Rafic Younes , Adrian Ilinca , Jean Perron

Wind farms are a crucial driver toward the generation of ecological and renewable energy. Due to their rapid increase in capacity, contemporary wind farms need to adhere to strict constraints on power output to ensure stability of the…

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

A novel approach for the solution of the wind farm layout optimization problem is presented. The annual energy production is maximized with constraints on the minimum and maximum number of wind turbines placed, and on the minimum spacing…

Computational Engineering, Finance, and Science · Computer Science 2022-06-20 Nicolò Pollini

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

A central challenge in the design of energy-efficient wind farms is the presence of wake effects between turbines. When a wind turbine harvests energy from free wind, it produces a turbulent region with reduced energy for downstream…

Optimization and Control · Mathematics 2025-12-24 James Kotary , Natalie Isenberg , Draguna Vrabie

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

We present an application of multi-mesh finite element methods as part of a methodology for optimizing settlement layouts. By formulating a multi-objective optimization problem, we demonstrate how a given number of buildings may be…

Computational Engineering, Finance, and Science · Computer Science 2023-01-31 Anders Logg , Christian Valdemar Lorenzen , Carl Lundholm

Offshore wind farms have emerged as a popular renewable energy source that can generate substantial electric power with a low environmental impact. However, integrating these farms into the grid poses significant complexities. To address…

Systems and Control · Electrical Eng. & Systems 2024-09-23 Himanshu Sharma , Wei Wang , Bowen Huang , Thiagarajan Ramachandran , Veronica Adetola

Experiments in engineering are typically conducted in controlled environments where parameters can be set to any desired value. This assumes that the same applies in a real-world setting -- an assumption that is often incorrect as many…

Machine Learning · Computer Science 2025-11-18 Mike Diessner , Kevin J. Wilson , Richard D. Whalley

The power system of the future will be governed by complex interactions and non-linear phenomena at small time-scales, that should be studied more and more through computationally expensive software simulations. To solve the abovementioned…

Systems and Control · Electrical Eng. & Systems 2025-02-26 Marius Kuhn , Evelyn Heylen , Willem Leterme

Wind power is a clean and widely deployed alternative to reducing our dependence on fossil fuel power generation. Under this trend, more turbines will be installed in wind farms. However, the inspection of the turbines in an offshore wind…

Optimization and Control · Mathematics 2020-06-18 Hwei-Ming Chung , Sabita Maharjan , Yan Zhang , Frank Eliassen , Kai Strunz

Because of the global need to increase power production from renewable energy resources, developments in the online monitoring of the associated infrastructure is of interest to reduce operation and maintenance costs. However, challenges…

Machine Learning · Computer Science 2025-10-29 Simon M. Brealy , Lawrence A. Bull , Pauline Beltrando , Anders Sommer , Nikolaos Dervilis , Keith Worden

The rapid increase in scale and sophistication of offshore wind (OSW) farms poses a critical challenge related to the cost-effective operation and management of wind energy assets. A defining characteristic of this challenge is the economic…

Systems and Control · Electrical Eng. & Systems 2023-08-31 Petros Papadopoulos , Farnaz Fallahi , Murat Yildirim , Ahmed Aziz Ezzat

The wake effect is one of the leading causes of energy losses in offshore wind farms (WFs). Both turbine placement and cooperative control can influence the wake interactions inside the WF and thus the overall WF power production.…

Optimization and Control · Mathematics 2021-12-01 Kaixuan Chen , Jin Lin , Yiwei Qiu , Feng Liu , Yonghua Song

Wind farm placement arranges the size and the location of multiple wind farms within a given region. The power output is highly related to the wind speed on spatial and temporal levels, which can be modeled by advanced data-driven…

Machine Learning · Statistics 2025-10-02 Wenxiu Feng , Antonio Alcántara , Carlos Ruiz

We present a novel approach to optimize wind farm layouts for maximum annual energy production (AEP). The optimization effort requires efficient wake models to predict the wake flow and, subsequently, the power generation of wind farms with…

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