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This survey investigates wall modeling in large eddy simulations (LES) using data-driven machine learning (ML) techniques. To this end, we implement three ML wall models in an open-source code and compare their performances with the…

Fluid Dynamics · Physics 2023-05-23 Aurélien Vadrot , Xiang I. A. Yang , Mahdi Abkar

A two-scale modelling approach is discussed to predict the performance and energetics of a large number (more than a few hundred) of marine turbines installed as a power farm in a general coastal environment. The kernel of this approach is…

Fluid Dynamics · Physics 2013-12-30 Takafumi Nishino , Richard H. J. Willden

As wind energy expands worldwide, the demand of reliable, fast, cost-efficient wind turbine wake models is growing. This is a significant challenge as wind turbines face various inflow conditions, that include turbulence,…

Fluid Dynamics · Physics 2022-09-13 I. Neunaber , M. Hölling , M . Obligado

Methods for predicting the likely upper economic limit for the wind fleet in the United Kingdom should be simple to use whilst being able to cope with evolving technologies, costs and grid management strategies. This paper present two such…

Physics and Society · Physics 2018-07-23 Anthony D Stephens , David R Walwyn

A new modeling approach for large-eddy simulation (LES) is obtained by combining a `regularization principle' with an explicit filter and its inversion. This regularization approach allows a systematic derivation of the implied…

Chaotic Dynamics · Physics 2009-11-07 Bernard J. Geurts , Darryl D. Holm

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…

A simple analysis is presented concerning an upper limit of the power density (power per unit land area) of a very large wind farm located at the bottom of a fully developed boundary layer. The analysis suggests that the limit of the power…

Fluid Dynamics · Physics 2013-09-20 Takafumi Nishino

The interaction among quasi-geostrophic mesoscale eddies, submesoscale fronts, and boundary layer turbulence (BLT) is a central problem in upper ocean dynamics. We investigate these multiscale dynamics using a novel large-eddy simulation on…

Fluid Dynamics · Physics 2026-04-21 S. Peng , S. Silvestri , A. Bodner

Electricity generation from burning fossil fuels is one of the major contributors to global warming. Renewable energy sources are a viable alternative to produce electrical energy and to reduce the emission from the power industry. These…

Machine Learning · Computer Science 2021-07-14 Md Amimul Ehsan

This paper discusses a framework to design elements of the plant and control systems for floating offshore wind turbines in an integrated manner using linear parameter-varying models. Multiple linearized models derived from aeroelastic…

Systems and Control · Electrical Eng. & Systems 2023-11-09 Athul Krishna Sundarrajan , Yong Hoon Lee , James T Allison , Daniel Zalkind , Daniel Herber

A wind farm can provide reactive power at sub-transmission and transmission buses in order to support and improve voltage profiles. It is common for the reactive power capability of a wind farm to be evaluated as the sum of the individual…

Optimization and Control · Mathematics 2022-07-12 Nawaf Nazir , Mads Almassalkhi , Ian Hiskens

A promising direction towards reducing the levelized cost of energy for wave energy converter (WEC) farms is to improve their performance. WEC design studies generally focus on a single design domain (e.g., geometry, control, or layout) to…

Systems and Control · Electrical Eng. & Systems 2024-05-27 Saeed Azad , Suraj Khanal , Daniel R. Herber , Gaofeng Jia

This paper presents an academia-industry joint case study, which was conducted to quantify and compare multi-year changes in power production performance of multiple turbines scattered over a mid-size wind farm. This analysis is referred to…

Applications · Statistics 2021-03-22 Yu Ding , Nitesh Kumar , Abhinav Prakash , Adaiyibo E. Kio , Xin Liu , Lei Liu , Qingchang Li

The growing demand for offshore wind energy has led to a significant increase in wind turbine size and to the development of large-scale wind farms, often comprising 100 to 150 turbines. However, the environmental impact of underwater noise…

Atmospheric and Oceanic Physics · Physics 2025-03-11 Laura Botero Bolívar , Oscar A. Marino Sńchez , Martín de Frutos , Esteban Ferrer

Conical Tensile Membrane Structure (TMS) is commonly used for aesthetics, economic design, high rain and snow loading. Such TMS shows complex aerodynamic behavior in presence of geometric nonlinearity, not adequately studied in the past.…

Fluid Dynamics · Physics 2026-01-30 Ajay Kumar , Budhaditya De , Sudib Kumar Mishra , Devasmit Dutta

Starting from basic physical principles, we present a novel derivation linking the global wind power to measurable atmospheric parameters. The resulting expression distinguishes three components of the atmospheric power (the kinetic power…

Atmospheric and Oceanic Physics · Physics 2015-08-28 A. M. Makarieva , V. G. Gorshkov , A. V. Nefiodov , D. Sheil , A. D. Nobre , B. -L. Li

The incidence of widespread low-wind conditions is important to the reliability and economics of electric grids with large amounts of wind power. In order to investigate a future in which wind plants are geographically widespread but…

Atmospheric and Oceanic Physics · Physics 2016-12-30 Mark A. Handschy , Stephen Rose , Jay Apt

While confinement is understood to increase the power and thrust coefficients of cross-flow turbines, how the optimal rotor geometry changes with the blockage ratio -- defined as the ratio between the array projected area and the channel…

Fluid Dynamics · Physics 2025-06-17 Aidan Hunt , Gregory Talpey , Gemma Calandra , Brian Polagye

In the wind energy industry, it is of great importance to develop models that accurately forecast the power output of a wind turbine, as such predictions are used for wind farm location assessment or power pricing and bidding, monitoring,…

Applications · Statistics 2022-07-13 Sándor Kolumbán , Stella Kapodistria , Nazanin Nooraee

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…