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This book comprises five peer-reviewed articles covering original research articles on the modeling and simulation of electricity systems for transport and energy storage. The topics include: 1 - Optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines; 2 - Technical–economic comparison between a 3 kV DC railway and the use of trains with on-board storage systems; 3 - How to improve electrical feeding substations, by changing transformer technology and by installing dedicated high-power-oriented storage systems; 4 - Algorithm applied to a vehicle-to-grid (V2G) technology. 5 - Thermal investigation and optimization of an air-cooled lithium-ion battery pack.
thermal management system --- optimal configuration --- air-cooling --- lithium-ion battery --- electric vehicles (EVs) --- photovoltaic (PV) systems --- vehicle-to-grid (V2G) --- smart grids (SGs) --- peak shaving --- amorphous transformer --- energy storage --- failure --- feeding substation --- tramway --- optimization --- energy storage system (ESS) --- siting --- sizing --- regenerative braking --- particle swarm optimization (PSO) algorithm --- net present value (NPV) --- railway network --- railway system --- lithium batteries --- supercapacitor --- Simulink --- catenary-free
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Wind turbines are one of the most promising renewable energy technologies, and this motivates fertile research activity about developments in power optimization. This topic covers a wide range of aspects, from the research on aerodynamics and control design to the industrial applications about on-site wind turbine performance control and monitoring. This Special Issue collects seven research papers about several innovative aspects of the multi-faceted topic of wind turbine power optimization technology. The seven research papers deal respectively with the aerodynamic optimization of wind turbine blades through Gurney flaps; optimization of blade design for large offshore wind turbines; control design optimization of large wind turbines through the analysis of the competing objectives of energy yield maximization and fatigue loads minimization; design optimization of a tension leg platform for floating wind turbines; innovative methods for the assessment of wind turbine optimization technologies operating on site; optimization of multiple wake interactions modeling through the introduction of a mixing coefficient in the energy balance method; and optimization of the dynamic stall control of vertical-axis wind turbines through plasma actuators. This Special Issue presents remarkable research activities in the timely subject of wind turbine power optimization technology, covering various aspects. The collection is believed to be beneficial to readers and contribute to the wind power industry.
ANN --- DBD plasma actuation --- aerodynamics --- vertical-axis wind turbine --- PSO algorithm --- variable-speed wind turbine --- wind turbine --- wind energy --- analytical model --- wind farm efficiency --- omega arithmetic method --- wake interaction model --- tower fatigue --- floating offshore wind turbine --- dynamic stall --- nonlinear economic-model predictive control --- hydrodynamic motion response --- active flow control --- control and optimization --- wind farm --- blade optimization --- tension leg platform --- structures --- flow control --- Gurney flap --- time-domain coupled model --- drive-shaft torsion --- mixing coefficient --- modified Morison equation --- wind turbines --- FAST --- turbulence intensity
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This book comprises five peer-reviewed articles covering original research articles on the modeling and simulation of electricity systems for transport and energy storage. The topics include: 1 - Optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines; 2 - Technical–economic comparison between a 3 kV DC railway and the use of trains with on-board storage systems; 3 - How to improve electrical feeding substations, by changing transformer technology and by installing dedicated high-power-oriented storage systems; 4 - Algorithm applied to a vehicle-to-grid (V2G) technology. 5 - Thermal investigation and optimization of an air-cooled lithium-ion battery pack.
History of engineering & technology --- thermal management system --- optimal configuration --- air-cooling --- lithium-ion battery --- electric vehicles (EVs) --- photovoltaic (PV) systems --- vehicle-to-grid (V2G) --- smart grids (SGs) --- peak shaving --- amorphous transformer --- energy storage --- failure --- feeding substation --- tramway --- optimization --- energy storage system (ESS) --- siting --- sizing --- regenerative braking --- particle swarm optimization (PSO) algorithm --- net present value (NPV) --- railway network --- railway system --- lithium batteries --- supercapacitor --- Simulink --- catenary-free
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This book comprises five peer-reviewed articles covering original research articles on the modeling and simulation of electricity systems for transport and energy storage. The topics include: 1 - Optimal siting and sizing methodology to design an energy storage system (ESS) for railway lines; 2 - Technical–economic comparison between a 3 kV DC railway and the use of trains with on-board storage systems; 3 - How to improve electrical feeding substations, by changing transformer technology and by installing dedicated high-power-oriented storage systems; 4 - Algorithm applied to a vehicle-to-grid (V2G) technology. 5 - Thermal investigation and optimization of an air-cooled lithium-ion battery pack.
History of engineering & technology --- thermal management system --- optimal configuration --- air-cooling --- lithium-ion battery --- electric vehicles (EVs) --- photovoltaic (PV) systems --- vehicle-to-grid (V2G) --- smart grids (SGs) --- peak shaving --- amorphous transformer --- energy storage --- failure --- feeding substation --- tramway --- optimization --- energy storage system (ESS) --- siting --- sizing --- regenerative braking --- particle swarm optimization (PSO) algorithm --- net present value (NPV) --- railway network --- railway system --- lithium batteries --- supercapacitor --- Simulink --- catenary-free
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This book is a collection of published articles from the Sensors Special Issue on "Convergence of Intelligent Data Acquisition and Advanced Computing Systems". It includes extended versions of the conference contributions from the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019), Metz, France, as well as external contributions.
Technology: general issues --- Energy industries & utilities --- automotive --- current --- electric power train --- electric vehicle --- embedded systems --- delay --- detection --- distributed systems --- measurements --- power train --- sensor --- signals --- time delay estimation --- unmanned aerial vehicles --- wireless sensor networks --- intelligent data processing --- trajectory planning --- relevant data extraction --- data consensus --- Internet of Things --- precision agriculture --- system identification --- smart building --- artificial neural network --- energy efficiency --- black box modeling --- educational robotics --- data acquisition --- sensors --- ROS --- STEM --- CNN (Convolutional neural networks) --- deep learning --- pavement defects --- residual connection --- attention gate --- atrous spatial pyramid pooling --- intelligent charging --- demand response --- linear programming --- optimization --- smart parking --- smart grid --- ODE Solver --- OpenCL --- Parareal --- parallel/multi-core computing --- sensing systems --- heterogenous embedded systems --- deep sparse auto-encoders --- medical diagnosis --- linear model --- data classification --- PSO algorithm --- safety-related system --- component --- FPGA-designing --- logical and power-oriented checkability --- hidden faults --- clock signal --- consumed and dissipated power --- temperature and current consumption sensors --- n/a
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This book is a collection of published articles from the Sensors Special Issue on "Convergence of Intelligent Data Acquisition and Advanced Computing Systems". It includes extended versions of the conference contributions from the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019), Metz, France, as well as external contributions.
automotive --- current --- electric power train --- electric vehicle --- embedded systems --- delay --- detection --- distributed systems --- measurements --- power train --- sensor --- signals --- time delay estimation --- unmanned aerial vehicles --- wireless sensor networks --- intelligent data processing --- trajectory planning --- relevant data extraction --- data consensus --- Internet of Things --- precision agriculture --- system identification --- smart building --- artificial neural network --- energy efficiency --- black box modeling --- educational robotics --- data acquisition --- sensors --- ROS --- STEM --- CNN (Convolutional neural networks) --- deep learning --- pavement defects --- residual connection --- attention gate --- atrous spatial pyramid pooling --- intelligent charging --- demand response --- linear programming --- optimization --- smart parking --- smart grid --- ODE Solver --- OpenCL --- Parareal --- parallel/multi-core computing --- sensing systems --- heterogenous embedded systems --- deep sparse auto-encoders --- medical diagnosis --- linear model --- data classification --- PSO algorithm --- safety-related system --- component --- FPGA-designing --- logical and power-oriented checkability --- hidden faults --- clock signal --- consumed and dissipated power --- temperature and current consumption sensors --- n/a
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This book is a collection of published articles from the Sensors Special Issue on "Convergence of Intelligent Data Acquisition and Advanced Computing Systems". It includes extended versions of the conference contributions from the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019), Metz, France, as well as external contributions.
Technology: general issues --- Energy industries & utilities --- automotive --- current --- electric power train --- electric vehicle --- embedded systems --- delay --- detection --- distributed systems --- measurements --- power train --- sensor --- signals --- time delay estimation --- unmanned aerial vehicles --- wireless sensor networks --- intelligent data processing --- trajectory planning --- relevant data extraction --- data consensus --- Internet of Things --- precision agriculture --- system identification --- smart building --- artificial neural network --- energy efficiency --- black box modeling --- educational robotics --- data acquisition --- sensors --- ROS --- STEM --- CNN (Convolutional neural networks) --- deep learning --- pavement defects --- residual connection --- attention gate --- atrous spatial pyramid pooling --- intelligent charging --- demand response --- linear programming --- optimization --- smart parking --- smart grid --- ODE Solver --- OpenCL --- Parareal --- parallel/multi-core computing --- sensing systems --- heterogenous embedded systems --- deep sparse auto-encoders --- medical diagnosis --- linear model --- data classification --- PSO algorithm --- safety-related system --- component --- FPGA-designing --- logical and power-oriented checkability --- hidden faults --- clock signal --- consumed and dissipated power --- temperature and current consumption sensors
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Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).
NSGA-II --- wind force --- wavelet packet decomposition --- structural health monitoring --- amplitude spectrum --- environmental noise --- patch antenna --- damage identification --- event-triggered sensing --- Particle Swarm Optimization (PSO) algorithm --- high-speed train --- low-velocity impacts --- concrete structures --- sensors distribution optimization --- acceleration --- digital sampling moiré --- crack --- displacement sensor --- length effect --- FBG sensor array --- SHM --- space window --- Bayesian blind source separation --- feature selection --- stress detection --- wheel minor defect --- strain --- uniaxial stress measurement --- turbine --- impact identification --- helical antenna --- energy analysis of wavelet band --- strain wave --- time window --- structural steel members --- steel frame --- acoustoelastic effect --- demand-based nodes --- online wayside detection --- sensor --- bridge --- sensitivity --- acoustic emission --- bending stiffness --- wireless smart sensors --- distributed dense sensor network --- mapping construction --- data fusion --- fuzzy classification --- shear-wave birefringence --- normal mode --- piezoelectric wafer active sensors --- resonant frequency --- electromagnetic oscillation --- settlement --- sensor optimization --- modal frequencies --- perturbation theory --- feature extraction --- Virtual Distortion Method (VDM) --- reflective optical sensor --- fibre bundle --- smartphones --- crack identification --- active sensing --- test vehicle --- calibration --- stretching method --- model updating --- rotary ultrasonic array --- 2D crack growth --- data processing --- damage detection --- impactor stiffness --- tip clearance --- transmission tower --- phase spectrum --- concrete crack --- structural impact monitoring --- shaking table tests --- optical crack growth sensor --- steel strand --- passive sensing --- sudden event monitoring --- aero engine --- principal component analysis
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