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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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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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Electric vehicles are only ‘green’ as long as the source of electricity is ‘green’ as well. At the same time, renewable power production suffers from diurnal and seasonal variations, creating the need for energy storage technology. Moreover, overloading and voltage problems are expected in the distributed network due to the high penetration of distributed generation and increased power demand from the charging of electric vehicles. The energy and mobility transition hence calls for novel technological innovations in the field of sustainable electric mobility powered from renewable energy. This Special Issue focuses on recent advances in technology for PV charging and storage for electric vehicles.
electric vehicle --- demand forecasting --- peak shaving --- smart charging --- robust optimization --- Energy management and control --- particle swarm optimization (PSO) --- hybrid AC/DC microgrid --- electric vehicle charging and discharging control --- artificial physics optimization (APO) --- vehicle to grid --- V2G --- battery degradation --- Li-ion --- real-time --- moving horizon window --- battery charger --- electric bike --- photovoltaic system --- power converter --- wireless power transfer --- plug-in electric vehicle --- energy management system --- renewable energy --- vehicle-to-grid --- life cycle assessment --- CO2 emissions --- photovoltaic systems --- electric vehicles --- VIPV --- cost–benefit analysis
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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
Choose an application
Electric vehicles are only ‘green’ as long as the source of electricity is ‘green’ as well. At the same time, renewable power production suffers from diurnal and seasonal variations, creating the need for energy storage technology. Moreover, overloading and voltage problems are expected in the distributed network due to the high penetration of distributed generation and increased power demand from the charging of electric vehicles. The energy and mobility transition hence calls for novel technological innovations in the field of sustainable electric mobility powered from renewable energy. This Special Issue focuses on recent advances in technology for PV charging and storage for electric vehicles.
Technology: general issues --- electric vehicle --- demand forecasting --- peak shaving --- smart charging --- robust optimization --- Energy management and control --- particle swarm optimization (PSO) --- hybrid AC/DC microgrid --- electric vehicle charging and discharging control --- artificial physics optimization (APO) --- vehicle to grid --- V2G --- battery degradation --- Li-ion --- real-time --- moving horizon window --- battery charger --- electric bike --- photovoltaic system --- power converter --- wireless power transfer --- plug-in electric vehicle --- energy management system --- renewable energy --- vehicle-to-grid --- life cycle assessment --- CO2 emissions --- photovoltaic systems --- electric vehicles --- VIPV --- cost–benefit analysis
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In recent years, microwave sensing and imaging have acquired an ever-growing importance in several applicative fields, such as non-destructive evaluations in industry and civil engineering, subsurface prospection, security, and biomedical imaging. Indeed, microwave techniques allow, in principle, for information to be obtained directly regarding the physical parameters of the inspected targets (dielectric properties, shape, etc.) by using safe electromagnetic radiations and cost-effective systems. Consequently, a great deal of research activity has recently been devoted to the development of efficient/reliable measurement systems, which are effective data processing algorithms that can be used to solve the underlying electromagnetic inverse scattering problem, and efficient forward solvers to model electromagnetic interactions. Within this framework, this Special Issue aims to provide some insights into recent microwave sensing and imaging systems and techniques.
Technology: general issues --- History of engineering & technology --- MW magnetic field --- axial ratio --- polarization --- NV center --- two-dimensional radar imaging --- multiple-input multiple-output (MIMO) radar --- Particle Swarm Optimization (PSO) --- imaging plane calibration algorithm (IPCA) --- microwave tomography --- stroke detection --- DBIM --- linearized inverse scattering --- microwave imaging --- orbital angular momentum --- born approximation --- rytov approximation --- brain stroke --- monitoring --- antenna array --- electromagnetic scattering --- buried objects --- through-wall radar --- inverse scattering --- breast --- multipath --- dynamic range --- software defined radio --- leakage --- frequency-dimension scale --- terahertz --- measurements --- differential imaging --- numerical optimization --- block system inversion --- trade-off analysis --- medical MEMS --- wireless power transfer --- microwave --- thermography --- field illustration --- permittivity --- radar imaging --- target detection --- experimental measurements --- imaging --- wave propagation --- beam summation methods
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Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.
Information technology industries --- multi-objective optimization problems --- particle swarm optimization (PSO) --- Gaussian mutation --- improved learning strategy --- big data --- interval concept lattice --- horizontal union --- sequence traversal --- evolutionary algorithms --- multi-objective optimization --- parameter puning --- parameter analysis --- particle swarm optimization --- differential evolution --- global continuous optimization --- wireless sensor networks --- task allocation --- stochastic optimization --- social network optimization --- memetic particle swarm optimization --- adaptive local search operator --- co-evolution --- PSO --- formal methods in evolutionary algorithms --- self-adaptive differential evolutionary algorithms --- constrained optimization --- ensemble of constraint handling techniques --- hybrid algorithms --- association rules --- mining algorithm --- vertical union --- neuroevolution --- neural networks --- n/a
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In recent years, microwave sensing and imaging have acquired an ever-growing importance in several applicative fields, such as non-destructive evaluations in industry and civil engineering, subsurface prospection, security, and biomedical imaging. Indeed, microwave techniques allow, in principle, for information to be obtained directly regarding the physical parameters of the inspected targets (dielectric properties, shape, etc.) by using safe electromagnetic radiations and cost-effective systems. Consequently, a great deal of research activity has recently been devoted to the development of efficient/reliable measurement systems, which are effective data processing algorithms that can be used to solve the underlying electromagnetic inverse scattering problem, and efficient forward solvers to model electromagnetic interactions. Within this framework, this Special Issue aims to provide some insights into recent microwave sensing and imaging systems and techniques.
MW magnetic field --- axial ratio --- polarization --- NV center --- two-dimensional radar imaging --- multiple-input multiple-output (MIMO) radar --- Particle Swarm Optimization (PSO) --- imaging plane calibration algorithm (IPCA) --- microwave tomography --- stroke detection --- DBIM --- linearized inverse scattering --- microwave imaging --- orbital angular momentum --- born approximation --- rytov approximation --- brain stroke --- monitoring --- antenna array --- electromagnetic scattering --- buried objects --- through-wall radar --- inverse scattering --- breast --- multipath --- dynamic range --- software defined radio --- leakage --- frequency-dimension scale --- terahertz --- measurements --- differential imaging --- numerical optimization --- block system inversion --- trade-off analysis --- medical MEMS --- wireless power transfer --- microwave --- thermography --- field illustration --- permittivity --- radar imaging --- target detection --- experimental measurements --- imaging --- wave propagation --- beam summation methods
Choose an application
Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.
multi-objective optimization problems --- particle swarm optimization (PSO) --- Gaussian mutation --- improved learning strategy --- big data --- interval concept lattice --- horizontal union --- sequence traversal --- evolutionary algorithms --- multi-objective optimization --- parameter puning --- parameter analysis --- particle swarm optimization --- differential evolution --- global continuous optimization --- wireless sensor networks --- task allocation --- stochastic optimization --- social network optimization --- memetic particle swarm optimization --- adaptive local search operator --- co-evolution --- PSO --- formal methods in evolutionary algorithms --- self-adaptive differential evolutionary algorithms --- constrained optimization --- ensemble of constraint handling techniques --- hybrid algorithms --- association rules --- mining algorithm --- vertical union --- neuroevolution --- neural networks --- n/a
Choose an application
Electric vehicles are only ‘green’ as long as the source of electricity is ‘green’ as well. At the same time, renewable power production suffers from diurnal and seasonal variations, creating the need for energy storage technology. Moreover, overloading and voltage problems are expected in the distributed network due to the high penetration of distributed generation and increased power demand from the charging of electric vehicles. The energy and mobility transition hence calls for novel technological innovations in the field of sustainable electric mobility powered from renewable energy. This Special Issue focuses on recent advances in technology for PV charging and storage for electric vehicles.
Technology: general issues --- electric vehicle --- demand forecasting --- peak shaving --- smart charging --- robust optimization --- Energy management and control --- particle swarm optimization (PSO) --- hybrid AC/DC microgrid --- electric vehicle charging and discharging control --- artificial physics optimization (APO) --- vehicle to grid --- V2G --- battery degradation --- Li-ion --- real-time --- moving horizon window --- battery charger --- electric bike --- photovoltaic system --- power converter --- wireless power transfer --- plug-in electric vehicle --- energy management system --- renewable energy --- vehicle-to-grid --- life cycle assessment --- CO2 emissions --- photovoltaic systems --- electric vehicles --- VIPV --- cost–benefit analysis
Listing 1 - 10 of 26 | << page >> |
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