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Advanced Approaches Applied to Materials Development and Design Predictions

Authors: --- --- --- --- et al.
ISBN: 9783039284122 9783039284139 Year: Pages: 164 DOI: 10.3390/books978-3-03928-413-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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This thematic issue on advanced simulation tools applied to materials development and design predictions gathers selected extended papers related to power generation systems, presented at the XIX International Colloquium on Mechanical Fatigue of Metals (ICMFM XIX), organized at University of Porto, Portugal, in 2018. In this issue, the limits of the current generation of materials are explored, which are continuously being reached according to the frontier of hostile environments, whether in the aerospace, nuclear, or petrochemistry industry, or in the design of gas turbines where efficiency of energy production and transformation demands increased temperatures and pressures. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on failure mechanism modeling and simulation of materials are covered. As the Guest Editors, we would like to thank all the authors who submitted papers to this Special Issue. All the papers published were peer-reviewed by experts in the field whose comments helped to improve the quality of the edition. We also would like to thank the Editorial Board of Materials for their assistance in managing this Special Issue.

Wind Turbine Aerodynamics

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ISBN: 9783039215249 9783039215256 Year: Pages: 410 DOI: 10.3390/books978-3-03921-525-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Wind turbine aerodynamics is one of the central subjects of wind turbine technology. To reduce the levelized cost of energy (LCOE), the size of a single wind turbine has been increased to 12 MW at present, with further increases expected in the near future. Big wind turbines and their associated wind farms have many advantages but also challenges. The typical effects are mainly related to the increase in Reynolds number and blade flexibility. This Special Issue is a collection of 21 important research works addressing the aerodynamic challenges appearing in such developments. The 21 research papers cover a wide range of problems related to wind turbine aerodynamics, which includes atmospheric turbulent flow modeling, wind turbine flow modeling, wind turbine design, wind turbine control, wind farm flow modeling in complex terrain, wind turbine noise modeling, vertical axis wind turbine, and offshore wind energy. Readers from all over the globe are expected to greatly benefit from this Special Issue collection regarding their own work and the goal of enabling the technological development of new environmentally friendly and cost-effective wind energy systems in order to reach the target of 100% energy use from renewable sources, worldwide, by 2050

Keywords

H-type floating VAWT --- truss Spar floating foundation --- coupling of aerodynamics and hydrodynamics --- computational fluid dynamics --- wind farm --- complex terrain --- SCADA --- met mast measurements --- wind turbine --- simplified free vortex wake --- vortex ring --- aerodynamics --- axial steady condition --- variable pitch --- H-type VAWT --- straight blade --- DMST model --- NACA0012 --- wind energy --- power coefficient --- tip speed ratio --- wind turbine blade optimization --- computational fluid dynamic --- actuator disc --- wake effect --- Non-dominated Sorting Genetic Algorithm (NSGA-II) --- wind turbine airfoil --- dynamic stall --- boundary layer separation --- aerodynamic characteristics --- rotor blade optimization --- blade parametrization --- computational fluid dynamics --- OpenFOAM --- gradient-based --- adjoint approach --- wind turbine optimization --- low wind speed areas --- cost of energy --- particle swarm optimization --- dynamic stall --- pitch oscillation --- oscillating freestream --- rotational augmentation --- wind turbine --- turbulence --- super-statistics --- piezo-electric flow sensor --- ABL stability --- laminar-turbulent transition --- wind speed extrapolation --- atmospheric stability --- wind shear --- wind resource assessment --- wind turbine --- stall --- NREL Phase VI --- S809 airfoil --- MEXICO --- RANS --- wind turbine wakes --- turbulence --- actuator disk --- LES --- wind tunnel --- OpenFOAM --- wind turbine --- wind turbine design --- optimization --- blade length --- economic analysis --- typhoon --- wind turbine --- meso/microscale --- aerodynamic force --- mechanical performance --- thermography --- wind turbine blades --- defects --- image processing --- condition monitoring --- wind farm --- layout optimization --- design --- random search --- complex terrain --- airfoil design --- aerodynamic --- wind tunnel experiment --- VAWTs (Vertical axis wind turbines) --- computational fluid dynamics --- floating offshore wind turbine --- dynamic fluid body interaction --- semi-submersible platform --- OC5 DeepCWind --- wind turbine --- aerodynamics --- turbulent inflow --- Computational Fluid Dynamics --- blade element momentum theory --- actuator line method --- Fatigue Loads --- wind turbine noise source --- wind turbine noise propagation --- wind turbine wake --- n/a

Structural Prognostics and Health Management in Power & Energy Systems

Authors: --- --- --- --- et al.
ISBN: 9783039217663 9783039217670 Year: Pages: 218 DOI: 10.3390/books978-3-03921-767-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2020-01-30 16:39:46
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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.

Keywords

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

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