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Plasmonics is a rapidly developing field that combines fundamental research and applications ranging from areas such as physics to engineering, chemistry, biology, medicine, food sciences, and the environmental sciences. Plasmonics appeared in the 1950s with the discovery of surface plasmon polaritons. Plasmonics then went through a novel propulsion in the mid-1970s, when surface-enhanced Raman scattering was discovered. Nevertheless, it is in this last decade that a very significant explosion of plasmonics and its applications has occurred. Thus, this book provides a snapshot of the current advances in these various areas of plasmonics and its applications, such as engineering, sensing, surface-enhanced fluorescence, catalysis, and photovoltaic devices.
antenna --- diffractive efficiency --- metal-dielectric resonance --- fuel --- plasmonic molecules --- doping --- catalysis --- sum-frequency generation spectroscopy --- plasmon --- lanthanum hexaboride --- resonance modes --- sum-frequency generation --- enhanced Raman spectroscopy --- nanoparticles --- coupling compensation --- electrochemistry --- multi-channel sensing --- nonlinearity --- optical near-field --- nano-aperture --- nanomaterials --- LaB6 --- metasurfaces --- hybrid --- plasmonics --- SERS --- plasmonic materials --- heat absorption --- biosensing --- solar cell --- metasurface --- AFM-nanomanipulations --- hexaboride --- short circuit current --- non-linear optics --- aluminum --- gold --- lightning rod --- THG --- surface-enhanced fluorescence --- fuel cells --- Ni --- third harmonic generation --- sensing --- interfaces --- spectroelectrochemistry --- surface plasmons --- Perovskites --- hybrid function --- surface-enhanced Raman scattering --- sensors --- silicon --- plasmonic nanoparticles --- quantum efficiency --- surface-enhanced Raman scattering (SERS)
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Materials play a very important role in the technological development of a society. As a consequence, the continuous demand for more advanced and sophisticated applications is closely linked to the availability of innovative materials. Although aspects related to the study, the synthesis and the applications of materials are of interdisciplinary interest, in the last few years, great attention has been paid to the development of advanced materials for environmental preservation and sustainable energy technologies, such as gaseous pollutant monitoring, waste water treatment, catalysis, carbon dioxide valorization, green fuel production, energy saving, water adsorption and clean technologies. This Special Issue aims at covering the current design, synthesis and characterization of innovative advanced materials, as well as novel nanotechnologies able to offer promising solutions to the these pressing themes.
Technology: general issues --- History of engineering & technology --- anaerobic digestion --- anchovies --- biorefinery --- circular economy --- d-limonene --- granular activated carbon --- inhibition --- orange peel waste (OPW) --- hydrothermal carbonization --- hydrochar --- 5-hydroxymethylfurfural (5-HMF) --- furfural (FU) --- levulinic acid (LA) --- nanomaterials --- MOS --- resistive sensor --- tin oxide --- fermentation --- diacetyl --- lithium chloride hydrate --- composite foam --- deliquescence --- thermochemical storage --- in situ characterization --- ionic liquids --- heat storage --- thermal stability --- HRMAS NMR --- FTIR --- zinc oxide --- gas sensor --- hexanal --- 1-pentanol --- 1-octen-3-ol --- MOX --- plasmonic nanoparticles --- silicon solar cell --- graphene --- short-circuit current density --- open-circuit voltage --- power conversion efficiency --- n/a
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The modern electric power system has evolved into a huge nonlinear complex system due to the interconnection of thousands of generation and transmission systems. The unparalleled growth of renewable energy resources (RESs) has caused significant concern regarding grid stability and power quality, and it is essential to find ways to control such a massive system for effective operation. The controllability of HVDC and FACTS devices allows for improvement of the dynamic behavior of grids and their flexibility. Research is being carried out at both the system and component levels of modelling, control, and stability. This Special Issue aims to present novel HVDC topologies and operation strategies to prevent abnormal grid conditions.
DC distribution system --- back-to-back HVDC --- virtual impedance --- n/a --- synchronous condenser (SC) --- VSC–HVDC --- embedded HVDC --- Powell’s direct set method --- special protection system --- loss minimization --- grid-interconnection --- multi-infeed HVDC system --- reclosing process --- modular multilevel converter (MMC) --- grid service of HVDC --- angle stability --- impedance-based Nyquist stability criterion --- HVDC operation point --- commutation failure probability --- power control --- AC/DC converter --- VSC HVDC --- frequency droop control --- protection --- high voltage direct current (HVDC) --- quantitative evaluation --- short-circuit current calculation --- active power control strategies --- grounding system --- LCC HVDC --- insulation monitoring device (IMD) --- 3-phase AC/DC PWM converter --- transient stability --- angle spread --- reclosing current limiting resistance (RCLR) --- BTB-HVDC --- full bridge (FB) --- GVIF index --- system loss minimization --- SOGI-FLL --- half bridge (HB) --- fault current limiter (FCL) --- VSC-HVDC --- line commutated converter --- DC distribution --- hybrid HVDC breaker (HCB) --- phase detection --- DC-side oscillation --- Powell's direct set method
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Wind Power Plant (WPP) and Wind Turbine (WT) modeling are becoming of key importance due to the relevant wind-generation impact on power systems. Wind integration into power systems must be carefully analyzed to forecast the effects on grid stability and reliability. Different agents, such as Transmission System Operators (TSOs) and Distribution System Operators (DSOs), focus on transient analyses. Wind turbine manufacturers, power system software developers, and technical consultants are also involved. WPP and WT dynamic models are often divided into two types: detailed and simplified. Detailed models are used for Electro-Magnetic Transient (EMT) simulations, providing both electrical and mechanical responses with high accuracy during short time intervals. Simplified models, also known as standard or generic models, are designed to give reliable responses, avoiding high computational resources. Simplified models are commonly used by TSOs and DSOs to carry out different transient stability studies, including loss of generation, switching of power lines or balanced faults, etc., Assessment and validation of such dynamic models is also a major issue due to the importance and difficulty of collecting real data. Solutions facing all these challenges, including the development, validation and application of WT and WPP models are presented in this Issue.
History of engineering & technology --- bearing current --- common mode current --- doubly fed induction generators --- permanent magnet synchronous generators --- wind turbine generator --- doubly-fed generator --- converter control --- short-circuit current --- second harmonic component --- low-voltage ride-through (LVRT) field test data --- complex terrain --- terrain-induced turbulence --- turbulence intensity --- LES --- vortex shedding --- frequency control --- wind power integration --- power system stability --- turbulence --- statistical modelling --- Wind Turbine (WT) --- Doubly Fed Induction Generator (DFIG) --- unbalanced grid voltage --- DC-linked voltage control --- Proportional Resonant with Resonant Harmonic Compensator (PR+HC) controller --- Adaptive Proportional Integral (API) control --- power control --- wind turbine near wake --- wind turbine wakes --- wake aerodynamics --- computational fluid dynamics --- rotor aerodynamics --- wind turbine validation --- MEXICO experiment --- wind energy --- model validation --- wind turbine aerodynamics --- wind farms --- wind turbines interaction --- wind farm modeling --- kernel density estimation --- multiple wind farms --- joint probability density --- ordinal optimization --- reactive power capability --- wind power plant --- wind power collection system --- aggregated, modelling --- wind integration studies --- long term voltage stability --- fault-ride through capability --- IEC 61400-27-1 --- Spanish PO 12.3 --- Type 3 wind turbine --- inertia --- wind power --- droop --- primary control --- frequency containment process --- wind integration --- demand response --- ancillary services --- wind turbine nacelle --- lightning electromagnetic pulse (LEMP) --- magnetic field intensity --- shielding mesh --- wake steering --- yaw misalignment --- multi body simulation --- main bearing loads --- rain flow counts --- aeroelasticity --- multi-rotor system --- wind turbine --- computational fluid dynamics (CFD) --- horizontal-axis wind turbine (HAWT) --- permanent-magnet synchronous-generator (PMSG) --- linear quadratic regulator (LQR) --- PI control algorithm --- LQR-PI control --- wind turbine blade --- large-eddy simulation --- turbulence evaluation index --- fatigue damage evaluation index --- DIgSILENT-PowerFactory --- MATLAB --- transient stability --- type 3 wind turbine --- DFIG --- field testing --- full-scale converter --- generic model --- validation --- HAWT --- aerodynamic characteristics --- dynamic yawing process --- near wake --- start-stop yaw velocity --- load frequency control (LFC) --- equivalent input disturbance (EID) --- active disturbance rejection control (ADRC) --- wind --- linear matrix inequalities (LMI) --- dynamic modeling --- grey-box parameter identification --- subspace identification --- recursive least squares --- optimal identification --- bearing current --- common mode current --- doubly fed induction generators --- permanent magnet synchronous generators --- wind turbine generator --- doubly-fed generator --- converter control --- short-circuit current --- second harmonic component --- low-voltage ride-through (LVRT) field test data --- complex terrain --- terrain-induced turbulence --- turbulence intensity --- LES --- vortex shedding --- frequency control --- wind power integration --- power system stability --- turbulence --- statistical modelling --- Wind Turbine (WT) --- Doubly Fed Induction Generator (DFIG) --- unbalanced grid voltage --- DC-linked voltage control --- Proportional Resonant with Resonant Harmonic Compensator (PR+HC) controller --- Adaptive Proportional Integral (API) control --- power control --- wind turbine near wake --- wind turbine wakes --- wake aerodynamics --- computational fluid dynamics --- rotor aerodynamics --- wind turbine validation --- MEXICO experiment --- wind energy --- model validation --- wind turbine aerodynamics --- wind farms --- wind turbines interaction --- wind farm modeling --- kernel density estimation --- multiple wind farms --- joint probability density --- ordinal optimization --- reactive power capability --- wind power plant --- wind power collection system --- aggregated, modelling --- wind integration studies --- long term voltage stability --- fault-ride through capability --- IEC 61400-27-1 --- Spanish PO 12.3 --- Type 3 wind turbine --- inertia --- wind power --- droop --- primary control --- frequency containment process --- wind integration --- demand response --- ancillary services --- wind turbine nacelle --- lightning electromagnetic pulse (LEMP) --- magnetic field intensity --- shielding mesh --- wake steering --- yaw misalignment --- multi body simulation --- main bearing loads --- rain flow counts --- aeroelasticity --- multi-rotor system --- wind turbine --- computational fluid dynamics (CFD) --- horizontal-axis wind turbine (HAWT) --- permanent-magnet synchronous-generator (PMSG) --- linear quadratic regulator (LQR) --- PI control algorithm --- LQR-PI control --- wind turbine blade --- large-eddy simulation --- turbulence evaluation index --- fatigue damage evaluation index --- DIgSILENT-PowerFactory --- MATLAB --- transient stability --- type 3 wind turbine --- DFIG --- field testing --- full-scale converter --- generic model --- validation --- HAWT --- aerodynamic characteristics --- dynamic yawing process --- near wake --- start-stop yaw velocity --- load frequency control (LFC) --- equivalent input disturbance (EID) --- active disturbance rejection control (ADRC) --- wind --- linear matrix inequalities (LMI) --- dynamic modeling --- grey-box parameter identification --- subspace identification --- recursive least squares --- optimal identification
Choose an application
Wind Power Plant (WPP) and Wind Turbine (WT) modeling are becoming of key importance due to the relevant wind-generation impact on power systems. Wind integration into power systems must be carefully analyzed to forecast the effects on grid stability and reliability. Different agents, such as Transmission System Operators (TSOs) and Distribution System Operators (DSOs), focus on transient analyses. Wind turbine manufacturers, power system software developers, and technical consultants are also involved. WPP and WT dynamic models are often divided into two types: detailed and simplified. Detailed models are used for Electro-Magnetic Transient (EMT) simulations, providing both electrical and mechanical responses with high accuracy during short time intervals. Simplified models, also known as standard or generic models, are designed to give reliable responses, avoiding high computational resources. Simplified models are commonly used by TSOs and DSOs to carry out different transient stability studies, including loss of generation, switching of power lines or balanced faults, etc., Assessment and validation of such dynamic models is also a major issue due to the importance and difficulty of collecting real data. Solutions facing all these challenges, including the development, validation and application of WT and WPP models are presented in this Issue.
History of engineering & technology --- bearing current --- common mode current --- doubly fed induction generators --- permanent magnet synchronous generators --- wind turbine generator --- doubly-fed generator --- converter control --- short-circuit current --- second harmonic component --- low-voltage ride-through (LVRT) field test data --- complex terrain --- terrain-induced turbulence --- turbulence intensity --- LES --- vortex shedding --- frequency control --- wind power integration --- power system stability --- turbulence --- statistical modelling --- Wind Turbine (WT) --- Doubly Fed Induction Generator (DFIG) --- unbalanced grid voltage --- DC-linked voltage control --- Proportional Resonant with Resonant Harmonic Compensator (PR+HC) controller --- Adaptive Proportional Integral (API) control --- power control --- wind turbine near wake --- wind turbine wakes --- wake aerodynamics --- computational fluid dynamics --- rotor aerodynamics --- wind turbine validation --- MEXICO experiment --- wind energy --- model validation --- wind turbine aerodynamics --- wind farms --- wind turbines interaction --- wind farm modeling --- kernel density estimation --- multiple wind farms --- joint probability density --- ordinal optimization --- reactive power capability --- wind power plant --- wind power collection system --- aggregated, modelling --- wind integration studies --- long term voltage stability --- fault-ride through capability --- IEC 61400-27-1 --- Spanish PO 12.3 --- Type 3 wind turbine --- inertia --- wind power --- droop --- primary control --- frequency containment process --- wind integration --- demand response --- ancillary services --- wind turbine nacelle --- lightning electromagnetic pulse (LEMP) --- magnetic field intensity --- shielding mesh --- wake steering --- yaw misalignment --- multi body simulation --- main bearing loads --- rain flow counts --- aeroelasticity --- multi-rotor system --- wind turbine --- computational fluid dynamics (CFD) --- horizontal-axis wind turbine (HAWT) --- permanent-magnet synchronous-generator (PMSG) --- linear quadratic regulator (LQR) --- PI control algorithm --- LQR-PI control --- wind turbine blade --- large-eddy simulation --- turbulence evaluation index --- fatigue damage evaluation index --- DIgSILENT-PowerFactory --- MATLAB --- transient stability --- type 3 wind turbine --- DFIG --- field testing --- full-scale converter --- generic model --- validation --- HAWT --- aerodynamic characteristics --- dynamic yawing process --- near wake --- start-stop yaw velocity --- load frequency control (LFC) --- equivalent input disturbance (EID) --- active disturbance rejection control (ADRC) --- wind --- linear matrix inequalities (LMI) --- dynamic modeling --- grey-box parameter identification --- subspace identification --- recursive least squares --- optimal identification
Choose an application
Wind Power Plant (WPP) and Wind Turbine (WT) modeling are becoming of key importance due to the relevant wind-generation impact on power systems. Wind integration into power systems must be carefully analyzed to forecast the effects on grid stability and reliability. Different agents, such as Transmission System Operators (TSOs) and Distribution System Operators (DSOs), focus on transient analyses. Wind turbine manufacturers, power system software developers, and technical consultants are also involved. WPP and WT dynamic models are often divided into two types: detailed and simplified. Detailed models are used for Electro-Magnetic Transient (EMT) simulations, providing both electrical and mechanical responses with high accuracy during short time intervals. Simplified models, also known as standard or generic models, are designed to give reliable responses, avoiding high computational resources. Simplified models are commonly used by TSOs and DSOs to carry out different transient stability studies, including loss of generation, switching of power lines or balanced faults, etc., Assessment and validation of such dynamic models is also a major issue due to the importance and difficulty of collecting real data. Solutions facing all these challenges, including the development, validation and application of WT and WPP models are presented in this Issue.
bearing current --- common mode current --- doubly fed induction generators --- permanent magnet synchronous generators --- wind turbine generator --- doubly-fed generator --- converter control --- short-circuit current --- second harmonic component --- low-voltage ride-through (LVRT) field test data --- complex terrain --- terrain-induced turbulence --- turbulence intensity --- LES --- vortex shedding --- frequency control --- wind power integration --- power system stability --- turbulence --- statistical modelling --- Wind Turbine (WT) --- Doubly Fed Induction Generator (DFIG) --- unbalanced grid voltage --- DC-linked voltage control --- Proportional Resonant with Resonant Harmonic Compensator (PR+HC) controller --- Adaptive Proportional Integral (API) control --- power control --- wind turbine near wake --- wind turbine wakes --- wake aerodynamics --- computational fluid dynamics --- rotor aerodynamics --- wind turbine validation --- MEXICO experiment --- wind energy --- model validation --- wind turbine aerodynamics --- wind farms --- wind turbines interaction --- wind farm modeling --- kernel density estimation --- multiple wind farms --- joint probability density --- ordinal optimization --- reactive power capability --- wind power plant --- wind power collection system --- aggregated, modelling --- wind integration studies --- long term voltage stability --- fault-ride through capability --- IEC 61400-27-1 --- Spanish PO 12.3 --- Type 3 wind turbine --- inertia --- wind power --- droop --- primary control --- frequency containment process --- wind integration --- demand response --- ancillary services --- wind turbine nacelle --- lightning electromagnetic pulse (LEMP) --- magnetic field intensity --- shielding mesh --- wake steering --- yaw misalignment --- multi body simulation --- main bearing loads --- rain flow counts --- aeroelasticity --- multi-rotor system --- wind turbine --- computational fluid dynamics (CFD) --- horizontal-axis wind turbine (HAWT) --- permanent-magnet synchronous-generator (PMSG) --- linear quadratic regulator (LQR) --- PI control algorithm --- LQR-PI control --- wind turbine blade --- large-eddy simulation --- turbulence evaluation index --- fatigue damage evaluation index --- DIgSILENT-PowerFactory --- MATLAB --- transient stability --- type 3 wind turbine --- DFIG --- field testing --- full-scale converter --- generic model --- validation --- HAWT --- aerodynamic characteristics --- dynamic yawing process --- near wake --- start-stop yaw velocity --- load frequency control (LFC) --- equivalent input disturbance (EID) --- active disturbance rejection control (ADRC) --- wind --- linear matrix inequalities (LMI) --- dynamic modeling --- grey-box parameter identification --- subspace identification --- recursive least squares --- optimal identification
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