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This Special Issue is a collection of the latest research articles on various topics related to wind turbine aerodynamics, which includes wind turbine design concepts, tip loss correction study, wind turbine acoustics modelling, and the vertical axis wind turbine concept.

Technology: general issues --- wind turbine aerodynamics --- actuator disc --- AD/NS --- tip loss correction --- blade element momentum --- orthopter --- vertical axis wind turbine --- power coefficient --- torque coefficient --- shear flow --- wind tunnel --- CFD --- delayed detached-eddy simulation --- wind turbine --- tilt angle --- unsteady aerodynamics --- computational fluid dynamics --- wind tunnel experiment --- wind turbine airfoil --- turbulence --- Gurney flap --- aerodynamic characteristics --- aeroacoustics --- noise modelling --- noise control --- coned rotor --- aerodynamics --- n/a

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This Special Issue is a collection of the latest research articles on various topics related to wind turbine aerodynamics, which includes wind turbine design concepts, tip loss correction study, wind turbine acoustics modelling, and the vertical axis wind turbine concept.

Technology: general issues --- wind turbine aerodynamics --- actuator disc --- AD/NS --- tip loss correction --- blade element momentum --- orthopter --- vertical axis wind turbine --- power coefficient --- torque coefficient --- shear flow --- wind tunnel --- CFD --- delayed detached-eddy simulation --- wind turbine --- tilt angle --- unsteady aerodynamics --- computational fluid dynamics --- wind tunnel experiment --- wind turbine airfoil --- turbulence --- Gurney flap --- aerodynamic characteristics --- aeroacoustics --- noise modelling --- noise control --- coned rotor --- aerodynamics

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This book collects the accepted contributions to the Special Issue "The Numerical Simulation of Fluid Flow" in the Energies journal of MDPI. It is focused more on practical applications of numerical codes than in its development. It covers a wide variety of topics, from aeroacoustics to aerodynamics and flow-particles interaction.

cave formation --- P-waves --- S-waves --- Stoneley wave --- scattered wave --- bluff body --- roughness model --- Venturi effect --- suppression hybrid control --- Lagrangian description --- Formula 1 --- Computational Fluid Dynamics (CFD) --- external aerodynamics --- OpenFoam --- snappyHexMesh --- incompressible flow --- Federation Internationale de l’Automobile (FIA) --- downforce --- drag --- vortex --- wake --- bluff body aerodynamics --- boundary layer separation --- vortex shedding --- Lagrangian vortex method --- vertical axis wind turbine (VAWT) --- two-dimensional wake simulation --- finite vortex method --- vortex particle method --- three-dimensional effect correction model of the wake --- local radial point interpolation cumulant LBM --- aeroacoustics --- dispersion --- dissipation --- wind turbine --- immersed boundary method --- quasi multi-moment method --- incompressible Navier–Stokes equation --- dispersion-relation-preserving --- flow–structure interaction

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The book contains the research contributions belonging to the Special Issue "Numerical Simulation of Wind Turbines", published in 2020-2021. They consist of 15 original research papers and 1 editorial. Different topics are discussed, from innovative design solutions for large and small wind turbine to control, from advanced simulation techniques to noise prediction. The variety of methods used in the research contributions testifies the need for a holistic approach to the design and simulation of modern wind turbines and will be able to stimulate the interest of the wind energy community.

large-scale wind turbine balde --- computational aeroacoustics --- sound source detection --- low Mach number turbulent flows --- NACA0012 airfoil --- fluid–structure interaction --- wind turbine --- atmospheric boundary layer --- composite materials --- gusts --- wind energy --- actuator line method --- wind turbine simulation --- regularization kernel --- small wind turbine (SWT) --- computational fluid dynamics (CFD) --- composites --- fluid–structure interaction (FSI) --- VAWT --- gurney flap --- CFD --- RBF --- power augmentation --- Darrieus --- turbulence --- experiments --- turbine wake --- turbine size --- large-eddy simulation --- actuator surface model --- wind turbine wake --- actuator disk model --- dynamic mode decomposition --- coherent structures --- wake meandering --- vertical axis wind turbine (VAWT) --- Savonius turbine --- deformable blades --- power coefficient --- blade load --- fluid-structure interaction (FSI) --- uncertainty quantification --- blade damage --- AEP --- winglet --- computational fluid dynamics (CFD), wind energy --- renewable energy --- rotor blade --- tip vortices --- aerodynamics --- ansys fluent --- savonius turbine --- icewind turbine --- static torque --- three-dimensional simulation --- Delayed DES --- H-Darrieus --- micro wind power generation --- wind turbine control --- load mitigation --- individual pitch control --- lifting line free vortex wake --- vortex methods --- pitch --- stall --- engineering codes --- n/a --- fluid-structure interaction

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The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

empirical mode decomposition --- underground powerhouse --- sensitivity analysis --- DNN --- fault detection --- neural networks --- structural health monitoring --- analysis mode decomposition --- dynamic analysis of the structure --- residual useful life --- renewable energy --- remaining useful life --- retrofitting activities --- wind turbine blade --- optimized deep belief networks --- strain prediction --- offshore wind turbines --- low frequency tail fluctuation --- oil and gas platforms --- supporting vector machine (SVM) --- wave–structure interaction (WSI) --- sifting stop criterion --- probabilistic analyses of stochastic processes and frequency --- mode mixing --- non-probabilistic reliability index --- data-driven --- prognostics --- turbine blisk --- wind turbines --- supervisory control and data acquisition system --- fuzzy safety criterion --- analysis-empirical mode decomposition --- rotation of hydraulic generator --- life cycle cost --- health monitoring --- reliability --- wavelet decomposition --- weighted regression --- similarity-based approach --- vibration transmission mechanism --- wind and wave analysis --- full-scale static test --- deep learning --- multioperation condition --- extremum surface response method --- lithium-ion battery --- vibration test --- lateral-river vibration --- operational modal analysis --- dynamic analysis --- regeneration phenomenon --- machine learning --- prognostic and Health Management --- offshore structures --- NAR neural network --- techno-economic assessments --- stochastic subspace identification --- vertical axis wind turbine --- dynamic fuzzy reliability analysis