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Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts
Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts
Autore Bizon Nicu
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (305 p.)
Soggetto topico Research & information: general
Technology: general issues
Soggetto non controllato irrigation system
photovoltaic water pumping systems (PWPS)
floating photovoltaic panels
SCADA
blockchain
SolarCoin
power factor
reactive power
capacitance
harmonics
telemetry
Industry 4.0
battery management
electric vehicle
state of charge estimation
Internet of Things
smart contract
Ethereum
IOTA
artificial intelligence
information security
UN sustainable development goals
UN SDGs
carbon trading
dApp
M2V
IPFS
charging scheduling
Great-Circle Distance
local electricity market
smart grids
energy crowdsourcing
renewable energy sources
prosumers
blockchain technology
energy poverty
smart contracts
hybrid power system
nano-grid
fuel cell
fuel economy
power tracking
optimization
droop control
mesh microgrids
power sharing
synchronization
system stability
robustness analysis
constant power load
reconfiguration
controller design analysis
networked control systems (NCSs)
network security
delays
sampling
energy grids
energy producers
cold spinning reserve
DLT
brokerage
SMEs
energy optimisation
interleaved boost converter
DC/DC converter
hybrid electric boat
energy storage system (ESS)
RST control
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557365203321
Bizon Nicu  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy Storage and Management for Electric Vehicles
Energy Storage and Management for Electric Vehicles
Autore Marco James
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (238 p.)
Soggetto non controllato battery charging
lithium ion battery
adaptive forgetting factor
operating expenses
cell sorting
linear programming
Simulink
equivalent circuit model
genetic algorithm
multi-parameters sorting
hybrid power system
electric vehicle
energy storage ageing and degradation
parameter estimation
Simscape
supercapacitors
state-of-health (SOH)
battery energy storage system
ECE15
efficiency
residential battery storage
timetable optimization
self-discharge
dynamic programming approach
state of charge estimation
regenerative energy
fuel cell
energy storage system
nonlinear battery model
charging scheme
Li-Sulfur batteries
Matlab
dynamic flow rate optimization
rule-based optimal strategy
second-life energy storage applications
Identification
hybrid vehicle
recursive least square
thermal modelling
zinc–nickel single-flow battery
Luenberger observer
HPPC
vehicle-to-building
?-constraint method
lithium-ion battery
life cycle assessment
parameter identification
Lipschitz nonlinear system
lithium titanate oxide batteries
batteries
battery degradation
improved artificial bee colony
optimal control
thermal behaviour
supercapacitor models
battery cycle-life extension
cycle-life
self-organizing maps clustering
principal component analysis
ISBN 3-03921-863-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372784803321
Marco James  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui