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Remote Sensing of Atmospheric Conditions for Wind Energy Applications
Remote Sensing of Atmospheric Conditions for Wind Energy Applications
Autore Hasager Charlotte
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (290 p.)
Soggetto non controllato complex flow
Floating Lidar System (FLS)
mesoscale
wind energy resources
variational analysis
wind turbine
wind sensing
wind energy
wind gusts
wake
wind structure
complex terrain
global ocean
remote sensing forecasting
detached eddy simulation
five-minute ahead wind power forecasting
tropical cyclones
fetch effect
aerosol
vertical Light Detection and Ranging
range gate length
resource assessment
field experiments
remote sensing
optical flow
turbulence
atmospheric boundary layer
Doppler Wind Lidar
offshore
empirical equation
Lidar
WindSAT
coastal wind measurement
offshore wind speed forecasting
Doppler wind lidar
Doppler
wind
wind lidar
cross-correlation
QuikSCAT
wind resource assessment
detecting and tracking
single-particle
gust prediction
NWP model
velocity-azimuth-display algorithm
lidar-assisted control (LAC)
Doppler lidar
motion estimation
power performance testing
lidar
large-eddy simulations
wind farm
coherent Doppler lidar
wake modeling
probabilistic forecasting
control
NeoWins
wind turbine controls
impact prediction
wind turbine wake
Hazaki Oceanographical Research Station
VAD
virtual lidar
Doppler radar
IEA Wind Task 32
ASCAT
wind atlas
turbulence intensity
ISBN 3-03897-943-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346674903321
Hasager Charlotte  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Selected Papers from 2018 IEEE International Conference on High Voltage Engineering (ICHVE 2018)
Selected Papers from 2018 IEEE International Conference on High Voltage Engineering (ICHVE 2018)
Autore Fofana Issouf
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (264 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato transformer oil
multi frequency ultrasonic
water content
back propagation neural network
genetic algorithm
air capacitive sensors
power system transients
high-voltage measurements
high-voltage monitoring
mineral oil
different particles
accumulation behavior
breakdown voltage
DC voltage
vacuum circuit breaker
multi-break
voltage distribution
FEM
stray capacitance
grading capacitor
partial discharge
needle-plate model
statistical rule
discharge stage
space charge
silicone rubber
degradation
breakdown
contact angle
surface roughness
FTIR
ATH
electrical tree
XLPE
polycyclic compound
DC-impulse voltage
temperature
trap distribution
creeping discharge
AC voltage
point-plane
atmospheric gases
flashover voltage
polytetrafluoroethylene (PTFE)
epoxy resin
high voltage direct current
polymeric insulation
space charges
nonlinear electric conductivity
cable termination
electric field
high-voltage test
stress relief cone
grounding system
substation
lightning
transmission system
surge arrester performance
bundle electric field
corona
HVDC transmission lines
optimization
radio interference
electromagnetic transients
nonuniform transmission line
numerical Laplace transform
time-dependent elements
transmission line modeling
nanofluids
nanoparticles
breakdown strength
transformer oils
permittivity
conductivity
combustion particle
electric field distortion
multi physical field
finite element method
particle movement characteristic
insulator design
dry band
pollution
offshore
export cables
inter-array cables
damped AC voltage (DAC), after-laying cable testing
on-site diagnosis
condition assessment
partial discharges
and dissipation factor
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Selected Papers from 2018 IEEE International Conference on High Voltage Engineering
Record Nr. UNINA-9910557153503321
Fofana Issouf  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui