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Advances in Integrated Energy Systems Design, Control and Optimization / / edited by Josep M. Guerrero and Amjad Anvari-Moghaddam
Advances in Integrated Energy Systems Design, Control and Optimization / / edited by Josep M. Guerrero and Amjad Anvari-Moghaddam
Pubbl/distr/stampa Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2017
Descrizione fisica 1 online resource (ix, 172 pages)
Disciplina 333.794
Soggetto topico Renewable energy sources
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910220015503321
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Technologies for the Energy Systems of the Future
Emerging Technologies for the Energy Systems of the Future
Autore Anvari-Moghaddam Amjad
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (212 p.)
Soggetto topico Technology: general issues
Soggetto non controllato hybrid systems
photovoltaic
wind energy
energy economics
RES investments
Zimbabwe
Africa and energy security
electricity price forecasting (EPF)
wind power forecasting (WPF)
spot market
balancing market
ARMAX
NARX-ANN
100% renewable power system
secondary voltage control
tertiary voltage control
grid code
wind farms
photovoltaic parks
energy transition
renewable energy sources
island power systems
hybrid power plants
wind turbines
battery energy storage systems
marine microgrid
tidal generation system
black widow optimization
supplementary control
fractional integrator
non-linear fractional integrator
100% renewable power generation
nexus
food
energy
water
greenhouse gas emission
microgrid
ancillary services
energy storage
power management
solar hot waters
thermosyphon
thermal performance
Morocco
economic outcomes
CO2 environmental assessment
solar system
domestic hot water production
solar water heaters
individual and collective solar water heater systems
dynamic simulation
TRNbuild
TRNSYSstudio
energy management
residential and commercial loads
short-term load forecasting
deep learning
bidirectional long short-term memory (Bi-LSTM)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557361303321
Anvari-Moghaddam Amjad  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems : Towards a Green Economy and Sustainable Development
Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems : Towards a Green Economy and Sustainable Development
Autore Daneshvar Mohammadreza
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2024
Descrizione fisica 1 online resource (475 pages)
Altri autori (Persone) Mohammadi-IvatlooBehnam
Anvari-MoghaddamAmjad
RazzaghiReza
Collana IEEE Press Series on Power and Energy Systems Series
ISBN 1-394-18878-1
1-394-18876-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- About the Editors -- Preface -- Chapter 1 The Necessity for Modernizing the Coupled Structure of Intelligent Transportation Systems and Multi-Energy Networks -- 1.1 Introduction -- 1.2 Applications of Intelligent Transportation Systems -- 1.3 Coupled Structure of ITSs and Multi-Energy Networks -- 1.4 Summary -- References -- Chapter 2 Green Transportation Systems -- 2.1 Introduction -- 2.1.1 Motivation and Problem Description -- 2.1.2 Literature Review -- 2.1.3 Chapter Organization -- 2.2 History of Transportation -- 2.3 Transportation Expansion Issues -- 2.3.1 Urbanization's Growth -- 2.3.2 Traffic Growth -- 2.3.3 Environmental Issues -- 2.4 Definition of Green Transportation -- 2.5 Advantages of Green Transportation -- 2.6 International Agreements -- 2.7 Challenges to GT -- 2.7.1 Institutional Challenges -- 2.7.2 Regulatory Challenges and Barriers -- 2.7.3 Technology-related Barriers -- 2.7.4 Financial Barriers -- 2.7.5 General Admission -- 2.8 Green Transportation's Effects on Multi-Energy Networks -- 2.9 Implementation Strategies for the Green Transportation System -- 2.9.1 Actions Performed to Promote Green Transportation -- 2.10 New Technologies for Green Transportation -- 2.10.1 Energy Technology -- 2.10.2 Environmentally Friendly Technologies -- 2.10.2.1 Greener Tires -- 2.10.2.2 Reusing Energy -- 2.11 Intelligent Transportation System -- 2.11.1 Vehicle Communication in Intelligent Transportation -- 2.12 Conclusion -- References -- Chapter 3 Techno-Economic-Environmental Assessment of Green Transportation Systems -- 3.1 Introduction -- 3.2 Technologies for Green Transportation Systems -- 3.2.1 Eco-Friendly and Energy-Efficient Technologies -- 3.2.2 Intelligent System Technologies -- 3.2.3 Integrated Management Technologies -- 3.2.4 Distributed Ledger Technologies.
3.3 Economic Implications of Green Transportation Systems -- 3.3.1 Cost Saving -- 3.3.2 Job Creation -- 3.4 Environmental Implications of Green Transportation Systems -- 3.4.1 Lowering Emission of Pollutants -- 3.4.2 Improving Human Health Status -- 3.5 Conclusion -- References -- Chapter 4 Urban Integrated Sustainable Transportation Networks -- 4.1 Introduction -- 4.2 Necessity of Sustainable Transportation -- 4.2.1 Impact of Conventional Transportation on Climate Change -- 4.2.2 Impact of Transportation-related Emissions on Public Health -- 4.2.3 Role of Road Transportation in Carbon Emissions -- 4.2.4 Existing Global Energy Market -- 4.2.5 Potential Approaches for Mitigating Emissions -- 4.3 Challenges and Opportunities Associated with the Implementation of Sustainable Transportation -- 4.3.1 Growing Car Sector -- 4.3.2 Urban Growth -- 4.3.3 Transformation Cost -- 4.3.4 Planning Challenges -- 4.3.5 Safety Risks -- 4.3.6 Security Challenges -- 4.3.7 Social Benefits -- 4.3.8 Environmental Benefits -- 4.3.9 Economic Benefits -- 4.4 Modes of Sustainable Transportation -- 4.4.1 Walk -- 4.4.2 Bicycle -- 4.4.3 Electric Bike/Scooter -- 4.4.4 Carpooling -- 4.4.5 Electric Car -- 4.4.6 Public Transportation -- 4.5 Sustainable Transportation in Modern Urban Advancement -- 4.5.1 Importance of Sustainable Transport in Urban Growth -- 4.5.1.1 Urban Planning -- 4.5.1.2 Smart Cities -- 4.5.1.3 Economic Growth -- 4.5.1.4 Promoting Sustainable Transport -- 4.6 Infrastructure for Sustainable Transportation -- 4.6.1 Governance -- 4.6.2 Interaction with Electricity Infrastructure -- 4.6.2.1 Electric Buses and the Power Grid -- 4.6.2.2 Operational Strategies -- 4.6.2.3 Compensation for the Minimum Demand Reduction -- 4.6.2.4 Flexible Operation of E-mobility -- 4.6.3 Features of Integrated Sustainable Transportation Networks.
4.6.3.1 Transport Resilience and Sustainability -- 4.6.4 Transition to a Sustainable Transportation -- 4.7 Conclusion -- References -- Chapter 5 Multi-Energy Technologies in Green and Integrated Transportation Networks -- 5.1 Introduction -- 5.2 Definition of Green Transportation -- 5.3 Technological Development and Managerial Integration for Green Transportation -- 5.3.1 Energy-Efficient Technology -- 5.3.2 Eco-Friendly Technology -- 5.3.3 Intelligent Transportation System (ITS) -- 5.3.4 Integrating Systems: Efficiency by Design -- 5.3.5 Energy Re-using -- 5.3.6 Solar Impulse Technology -- 5.3.7 Integrated Management for Green Transportation -- 5.3.7.1 Infrastructure Development -- 5.3.7.2 Alternative Measures in Urban Transportation -- 5.4 Definition and Features of Integrated Multi-Energy System -- 5.4.1 Definition of Integrated Multi-Energy System -- 5.4.2 Major Characteristics of Integrated Multi-Energy System -- 5.4.3 Role and Effects of Multi-Energy Conversion Systems in Green and Integrated Transportation Networks -- 5.5 Electric Vehicle Integration with Renewable Energy Sources -- 5.5.1 Electric Vehicle Integration with Wind Energy -- 5.5.2 Electric Vehicle Integration with Solar Energy -- 5.6 Hybrid Fuel Cell/Battery Vehicle Systems -- 5.6.1 PEMFC-Based Fuel Cell Vehicle Systems -- 5.6.2 SOFC-Based Fuel Cell Vehicle Systems -- 5.6.3 Present Situation of Fuel Cell Vehicle Technology -- 5.6.4 Confronts of Fuel Cell Vehicle Technology -- 5.7 Barriers and Challenges -- 5.7.1 Societal Barriers and Challenges -- 5.7.2 Technological Barriers and Challenges -- 5.7.3 Financial Barriers and Challenges -- 5.8 Conclusion -- References -- Chapter 6 Flexible Operation of Power-To-X Energy Systems in Transportation Networks -- Table of Acronyms -- 6.1 Introduction -- 6.1.1 Problem Description and Motivation -- 6.1.2 State of the Art.
6.1.3 Contributions and Organization -- 6.2 Power to Hydrogen -- 6.3 Power to Methane -- 6.4 Power to Chemical (P2C) -- 6.4.1 Power to Diesel (P2D) -- 6.4.2 Power-to-Formic Acid (P2FA) -- 6.4.3 Power to Methanol (P2Me) -- 6.5 Power to Heat (P2H) -- 6.6 Power to Transport (P2T) -- 6.7 Power Demand Flexibility -- 6.8 Conclusion -- References -- Chapter 7 Integration of Electric Vehicles into Multi-energy Systems -- Abbreviations -- 7.1 Introduction -- 7.2 Multi-energy Systems Structure -- 7.2.1 General Aspects of MES Modeling -- 7.2.2 Energy Hub Concept -- 7.2.3 MES Modeling Process and Challenges -- 7.3 Integration of EVs in MES -- 7.3.1 Integration of EV with RES -- 7.3.1.1 Integration of EV with Wind Energy -- 7.3.1.2 Integration of EV with Solar Energy -- 7.3.2 Integration of EV with Power Grids -- 7.3.2.1 EV and Distribution Systems -- 7.3.2.2 EV and Microgrids -- 7.3.2.3 EVs and Homes/Buildings -- 7.3.2.4 EV and EH -- 7.3.2.5 EV and Virtual Power Plants -- 7.3.3 EV Charging/Discharging Strategies -- 7.3.3.1 Vehicle-to-Everything (V2X) -- 7.3.3.2 Smart Bidirectional Charging -- 7.4 Conclusion -- References -- Chapter 8 Self-Driving Vehicle Systems in Intelligent Transportation Networks -- 8.1 Introduction -- 8.2 Brief History -- 8.3 Literature Review -- 8.4 Advantages and Challenges -- 8.5 Sensing -- 8.6 Perception -- 8.6.1 Object Detection and Tracking -- 8.6.2 Simultaneous Localization and Mapping -- 8.7 Planning and Control -- 8.8 Conclusion -- Acknowledgment -- References -- Chapter 9 Energy Storage Technologies and Control Systems for Electric Vehicles -- Acronyms -- 9.1 Introduction -- 9.2 Fuel Cell -- 9.2.1 Types of Fuel Cells -- 9.2.1.1 Proton Exchange Membrane Fuel Cell -- 9.2.1.2 Phosphoric Acid Fuel Cell (PAFC) -- 9.2.1.3 Alkaline Fuel Cell -- 9.2.1.4 Molten Carbonate Fuel Cell -- 9.2.1.5 Solid Oxide Fuel Cell.
9.2.1.6 Direct Methanol Fuel Cell -- 9.3 Battery Technologies for Electric Vehicles -- 9.3.1 Lead-Acid Batteries -- 9.3.2 Nickel-Cadmium Battery (NiCd) -- 9.3.3 Nickel-Metal-Hydride (Ni-MH) -- 9.3.4 Lithium-ion (Li-ion) -- 9.3.4.1 Lithium Cobalt Oxide (LiCoO2, LCO) -- 9.3.4.2 Lithium Manganese Oxide (LiMn2O4, LMO/Spinel) -- 9.3.4.3 Lithium Iron Phosphate (LiFePO4, LFP) -- 9.4 Overview of Brushless Motor -- 9.4.1 Mathematical Modeling of BLDC Motor -- 9.4.1.1 Electric Model of BLDC -- 9.4.1.2 Mechanical Model of BLDC -- 9.5 BLDC Motor Control Strategy for Electric Vehicles -- 9.5.1 PI Controller -- 9.5.2 PID Controller -- 9.5.3 Fuzzy Logic Controller -- 9.5.3.1 Fuzzification -- 9.5.3.2 Fuzzy Inference -- 9.5.3.3 Defuzzification -- 9.6 Simulation Results -- 9.7 Environnemental Impact of EVs -- 9.8 EVs and Modern Technologies -- 9.9 Challenges and Perspectives of EVs -- 9.10 Conclusion -- Acknowledgments -- References -- Chapter 10 Electric Vehicle Path Towards Sustainable Transportation: A Comprehensive Structure -- Nomenclature -- 10.1 Introduction -- 10.2 Optimum Design of EVs -- 10.3 Characterization of EV Battery System -- 10.3.1 Thermal Management of Battery -- 10.3.2 Assessment of Battery System -- 10.4 Control System of EVs -- 10.5 Reliability Assessment of EV -- 10.6 Assessment of EV Charging Station -- 10.6.1 Location Assessment for EV Charging Station -- 10.6.2 Characterization of Charging Station -- 10.7 Worldwide Policy Framework for EV -- 10.8 Electric Vehicles on the Sustainability and Reliability of Transportation Network -- 10.9 Recent Trends and Future Challenges -- References -- Chapter 11 Electric Vehicle Charging Management in Parking Structures -- 11.1 Introduction -- 11.2 EV Charging Management Schemes -- 11.3 Fair Charging Management -- 11.3.1 Preliminaries on á-Fairness -- 11.3.2 Generic-Fair Energy Allocation Algorithm.
11.4 Delay-Fair Charging Management.
Record Nr. UNINA-9910830452503321
Daneshvar Mohammadreza  
Newark : , : John Wiley & Sons, Incorporated, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems : Towards a Green Economy and Sustainable Development
Interconnected Modern Multi-Energy Networks and Intelligent Transportation Systems : Towards a Green Economy and Sustainable Development
Autore Daneshvar Mohammadreza
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2024
Descrizione fisica 1 online resource (475 pages)
Altri autori (Persone) Mohammadi-IvatlooBehnam
Anvari-MoghaddamAmjad
RazzaghiReza
Collana IEEE Press Series on Power and Energy Systems Series
ISBN 1-394-18878-1
1-394-18876-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- About the Editors -- Preface -- Chapter 1 The Necessity for Modernizing the Coupled Structure of Intelligent Transportation Systems and Multi-Energy Networks -- 1.1 Introduction -- 1.2 Applications of Intelligent Transportation Systems -- 1.3 Coupled Structure of ITSs and Multi-Energy Networks -- 1.4 Summary -- References -- Chapter 2 Green Transportation Systems -- 2.1 Introduction -- 2.1.1 Motivation and Problem Description -- 2.1.2 Literature Review -- 2.1.3 Chapter Organization -- 2.2 History of Transportation -- 2.3 Transportation Expansion Issues -- 2.3.1 Urbanization's Growth -- 2.3.2 Traffic Growth -- 2.3.3 Environmental Issues -- 2.4 Definition of Green Transportation -- 2.5 Advantages of Green Transportation -- 2.6 International Agreements -- 2.7 Challenges to GT -- 2.7.1 Institutional Challenges -- 2.7.2 Regulatory Challenges and Barriers -- 2.7.3 Technology-related Barriers -- 2.7.4 Financial Barriers -- 2.7.5 General Admission -- 2.8 Green Transportation's Effects on Multi-Energy Networks -- 2.9 Implementation Strategies for the Green Transportation System -- 2.9.1 Actions Performed to Promote Green Transportation -- 2.10 New Technologies for Green Transportation -- 2.10.1 Energy Technology -- 2.10.2 Environmentally Friendly Technologies -- 2.10.2.1 Greener Tires -- 2.10.2.2 Reusing Energy -- 2.11 Intelligent Transportation System -- 2.11.1 Vehicle Communication in Intelligent Transportation -- 2.12 Conclusion -- References -- Chapter 3 Techno-Economic-Environmental Assessment of Green Transportation Systems -- 3.1 Introduction -- 3.2 Technologies for Green Transportation Systems -- 3.2.1 Eco-Friendly and Energy-Efficient Technologies -- 3.2.2 Intelligent System Technologies -- 3.2.3 Integrated Management Technologies -- 3.2.4 Distributed Ledger Technologies.
3.3 Economic Implications of Green Transportation Systems -- 3.3.1 Cost Saving -- 3.3.2 Job Creation -- 3.4 Environmental Implications of Green Transportation Systems -- 3.4.1 Lowering Emission of Pollutants -- 3.4.2 Improving Human Health Status -- 3.5 Conclusion -- References -- Chapter 4 Urban Integrated Sustainable Transportation Networks -- 4.1 Introduction -- 4.2 Necessity of Sustainable Transportation -- 4.2.1 Impact of Conventional Transportation on Climate Change -- 4.2.2 Impact of Transportation-related Emissions on Public Health -- 4.2.3 Role of Road Transportation in Carbon Emissions -- 4.2.4 Existing Global Energy Market -- 4.2.5 Potential Approaches for Mitigating Emissions -- 4.3 Challenges and Opportunities Associated with the Implementation of Sustainable Transportation -- 4.3.1 Growing Car Sector -- 4.3.2 Urban Growth -- 4.3.3 Transformation Cost -- 4.3.4 Planning Challenges -- 4.3.5 Safety Risks -- 4.3.6 Security Challenges -- 4.3.7 Social Benefits -- 4.3.8 Environmental Benefits -- 4.3.9 Economic Benefits -- 4.4 Modes of Sustainable Transportation -- 4.4.1 Walk -- 4.4.2 Bicycle -- 4.4.3 Electric Bike/Scooter -- 4.4.4 Carpooling -- 4.4.5 Electric Car -- 4.4.6 Public Transportation -- 4.5 Sustainable Transportation in Modern Urban Advancement -- 4.5.1 Importance of Sustainable Transport in Urban Growth -- 4.5.1.1 Urban Planning -- 4.5.1.2 Smart Cities -- 4.5.1.3 Economic Growth -- 4.5.1.4 Promoting Sustainable Transport -- 4.6 Infrastructure for Sustainable Transportation -- 4.6.1 Governance -- 4.6.2 Interaction with Electricity Infrastructure -- 4.6.2.1 Electric Buses and the Power Grid -- 4.6.2.2 Operational Strategies -- 4.6.2.3 Compensation for the Minimum Demand Reduction -- 4.6.2.4 Flexible Operation of E-mobility -- 4.6.3 Features of Integrated Sustainable Transportation Networks.
4.6.3.1 Transport Resilience and Sustainability -- 4.6.4 Transition to a Sustainable Transportation -- 4.7 Conclusion -- References -- Chapter 5 Multi-Energy Technologies in Green and Integrated Transportation Networks -- 5.1 Introduction -- 5.2 Definition of Green Transportation -- 5.3 Technological Development and Managerial Integration for Green Transportation -- 5.3.1 Energy-Efficient Technology -- 5.3.2 Eco-Friendly Technology -- 5.3.3 Intelligent Transportation System (ITS) -- 5.3.4 Integrating Systems: Efficiency by Design -- 5.3.5 Energy Re-using -- 5.3.6 Solar Impulse Technology -- 5.3.7 Integrated Management for Green Transportation -- 5.3.7.1 Infrastructure Development -- 5.3.7.2 Alternative Measures in Urban Transportation -- 5.4 Definition and Features of Integrated Multi-Energy System -- 5.4.1 Definition of Integrated Multi-Energy System -- 5.4.2 Major Characteristics of Integrated Multi-Energy System -- 5.4.3 Role and Effects of Multi-Energy Conversion Systems in Green and Integrated Transportation Networks -- 5.5 Electric Vehicle Integration with Renewable Energy Sources -- 5.5.1 Electric Vehicle Integration with Wind Energy -- 5.5.2 Electric Vehicle Integration with Solar Energy -- 5.6 Hybrid Fuel Cell/Battery Vehicle Systems -- 5.6.1 PEMFC-Based Fuel Cell Vehicle Systems -- 5.6.2 SOFC-Based Fuel Cell Vehicle Systems -- 5.6.3 Present Situation of Fuel Cell Vehicle Technology -- 5.6.4 Confronts of Fuel Cell Vehicle Technology -- 5.7 Barriers and Challenges -- 5.7.1 Societal Barriers and Challenges -- 5.7.2 Technological Barriers and Challenges -- 5.7.3 Financial Barriers and Challenges -- 5.8 Conclusion -- References -- Chapter 6 Flexible Operation of Power-To-X Energy Systems in Transportation Networks -- Table of Acronyms -- 6.1 Introduction -- 6.1.1 Problem Description and Motivation -- 6.1.2 State of the Art.
6.1.3 Contributions and Organization -- 6.2 Power to Hydrogen -- 6.3 Power to Methane -- 6.4 Power to Chemical (P2C) -- 6.4.1 Power to Diesel (P2D) -- 6.4.2 Power-to-Formic Acid (P2FA) -- 6.4.3 Power to Methanol (P2Me) -- 6.5 Power to Heat (P2H) -- 6.6 Power to Transport (P2T) -- 6.7 Power Demand Flexibility -- 6.8 Conclusion -- References -- Chapter 7 Integration of Electric Vehicles into Multi-energy Systems -- Abbreviations -- 7.1 Introduction -- 7.2 Multi-energy Systems Structure -- 7.2.1 General Aspects of MES Modeling -- 7.2.2 Energy Hub Concept -- 7.2.3 MES Modeling Process and Challenges -- 7.3 Integration of EVs in MES -- 7.3.1 Integration of EV with RES -- 7.3.1.1 Integration of EV with Wind Energy -- 7.3.1.2 Integration of EV with Solar Energy -- 7.3.2 Integration of EV with Power Grids -- 7.3.2.1 EV and Distribution Systems -- 7.3.2.2 EV and Microgrids -- 7.3.2.3 EVs and Homes/Buildings -- 7.3.2.4 EV and EH -- 7.3.2.5 EV and Virtual Power Plants -- 7.3.3 EV Charging/Discharging Strategies -- 7.3.3.1 Vehicle-to-Everything (V2X) -- 7.3.3.2 Smart Bidirectional Charging -- 7.4 Conclusion -- References -- Chapter 8 Self-Driving Vehicle Systems in Intelligent Transportation Networks -- 8.1 Introduction -- 8.2 Brief History -- 8.3 Literature Review -- 8.4 Advantages and Challenges -- 8.5 Sensing -- 8.6 Perception -- 8.6.1 Object Detection and Tracking -- 8.6.2 Simultaneous Localization and Mapping -- 8.7 Planning and Control -- 8.8 Conclusion -- Acknowledgment -- References -- Chapter 9 Energy Storage Technologies and Control Systems for Electric Vehicles -- Acronyms -- 9.1 Introduction -- 9.2 Fuel Cell -- 9.2.1 Types of Fuel Cells -- 9.2.1.1 Proton Exchange Membrane Fuel Cell -- 9.2.1.2 Phosphoric Acid Fuel Cell (PAFC) -- 9.2.1.3 Alkaline Fuel Cell -- 9.2.1.4 Molten Carbonate Fuel Cell -- 9.2.1.5 Solid Oxide Fuel Cell.
9.2.1.6 Direct Methanol Fuel Cell -- 9.3 Battery Technologies for Electric Vehicles -- 9.3.1 Lead-Acid Batteries -- 9.3.2 Nickel-Cadmium Battery (NiCd) -- 9.3.3 Nickel-Metal-Hydride (Ni-MH) -- 9.3.4 Lithium-ion (Li-ion) -- 9.3.4.1 Lithium Cobalt Oxide (LiCoO2, LCO) -- 9.3.4.2 Lithium Manganese Oxide (LiMn2O4, LMO/Spinel) -- 9.3.4.3 Lithium Iron Phosphate (LiFePO4, LFP) -- 9.4 Overview of Brushless Motor -- 9.4.1 Mathematical Modeling of BLDC Motor -- 9.4.1.1 Electric Model of BLDC -- 9.4.1.2 Mechanical Model of BLDC -- 9.5 BLDC Motor Control Strategy for Electric Vehicles -- 9.5.1 PI Controller -- 9.5.2 PID Controller -- 9.5.3 Fuzzy Logic Controller -- 9.5.3.1 Fuzzification -- 9.5.3.2 Fuzzy Inference -- 9.5.3.3 Defuzzification -- 9.6 Simulation Results -- 9.7 Environnemental Impact of EVs -- 9.8 EVs and Modern Technologies -- 9.9 Challenges and Perspectives of EVs -- 9.10 Conclusion -- Acknowledgments -- References -- Chapter 10 Electric Vehicle Path Towards Sustainable Transportation: A Comprehensive Structure -- Nomenclature -- 10.1 Introduction -- 10.2 Optimum Design of EVs -- 10.3 Characterization of EV Battery System -- 10.3.1 Thermal Management of Battery -- 10.3.2 Assessment of Battery System -- 10.4 Control System of EVs -- 10.5 Reliability Assessment of EV -- 10.6 Assessment of EV Charging Station -- 10.6.1 Location Assessment for EV Charging Station -- 10.6.2 Characterization of Charging Station -- 10.7 Worldwide Policy Framework for EV -- 10.8 Electric Vehicles on the Sustainability and Reliability of Transportation Network -- 10.9 Recent Trends and Future Challenges -- References -- Chapter 11 Electric Vehicle Charging Management in Parking Structures -- 11.1 Introduction -- 11.2 EV Charging Management Schemes -- 11.3 Fair Charging Management -- 11.3.1 Preliminaries on á-Fairness -- 11.3.2 Generic-Fair Energy Allocation Algorithm.
11.4 Delay-Fair Charging Management.
Record Nr. UNINA-9910877176703321
Daneshvar Mohammadreza  
Newark : , : John Wiley & Sons, Incorporated, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microgrids : The Path to Sustainability
Microgrids : The Path to Sustainability
Autore Anvari-Moghaddam Amjad
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (280 p.)
Soggetto topico Technology: general issues
Soggetto non controllato microgrid
distribution network operator
double externalities
subsidy
PV system
PI controller
fuzzy control
MPPT
tracking speed
error
Micro Grid
VSG
power sharing
inertia support
energy support
small signal stability
day-ahead operational scheduling
reconfigurable microgrid
DRNN Bi-LSTM
aggregated load forecasting
bulk photovoltaic power generation forecasting
solar potential assessment
resource mapping
geographic information systems (GIS)
site selection
Iran
earthquake
power distribution network
resilience improvement planning
water distribution network
load disaggregation
non-intrusive load monitoring (NILM)
dimensionality reduction
principal component analysis (PCA)
smart home
solar renewable
thermal load
stochastic operation
energy storage
sustainability
desalination
renewable energy
water–energy-nexus
photovoltaic grid-connected system
power fluctuation
DC bus voltage stabilization
prescribed performance
command-filtered adaptive backstepping control
centralized control architecture
DC microgrid
distributed control architecture
electricity price constraint
hybrid control architecture
power flow control strategy
data pre-processing
electricity theft
imbalance data
parameter tuning
smart grid
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Microgrids
Record Nr. UNINA-9910557464603321
Anvari-Moghaddam Amjad  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Microgrids : advances in operation, control, and protection / / edited by Amjad Anvari-Moghaddam [and three others]
Microgrids : advances in operation, control, and protection / / edited by Amjad Anvari-Moghaddam [and three others]
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XI, 643 p. 338 illus., 265 illus. in color.)
Disciplina 621.31
Collana Power Systems
Soggetto topico Electric power production
ISBN 3-030-59750-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. Operation of Microgrids -- Chapter 1. An Introduction to Microgrids, Concepts, Definitions, and Classifications -- Chapter 2. Operation Management of Microgrid Clusters -- Chapter 3. Energy Management Systems for Microgrids -- Chapter 4. Optimal Dispatch and Unit Commitment in Microgrids -- Chapter 5. The Role of Energy Storage Systems in Microgrids Operation -- Chapter 6. Microgrids and Local Energy Markets -- Chapter 7. Economic assessment of microgrids integrated with demand-side management schemes -- Chapter 8. Microgrids Operation: Real-Time Perspectives and Challenges -- Chapter 9. Applications of Heuristic Techniques and Evolutionary Algorithms in Microgrids Optimization Problems -- Part 2. Control of Microgrids -- Chapter 10. Conventional droop methods for microgrids -- Chapter 11. Distributed control approaches for microgrids -- Chapter 12. On Control of Energy Storage Systems in Microgrids -- Chapter 13. Microgrid Stability Definitions, Analysis, and Examples -- Chapter 14. Voltage unbalance compensation in AC microgrids -- Chapter 15. WAM-based Hierarchical Control of Islanded AC Microgrids -- Part III. Protection of Microgrids -- Chapter 16. Fault Ride Through and Fault Current Management for Microgrids -- Chapter 17. Microgrid protection -- Chapter 18. A New Second Central Moment-Based Algorithm for Differential Protection in Micro-grids -- Chapter 19. Microgrids Protection with Conventional and Adaptive protection schemes -- Chapter 20. Fault Identification, Protection Schemes, and Restoration Requirements of Microgrids -- Chapter 21. Real-time testing of Microgrids.
Record Nr. UNINA-9910484039203321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sustainable Energy Systems Planning, Integration and Management
Sustainable Energy Systems Planning, Integration and Management
Autore Mohammadi-ivatloo Behnam
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (286 p.)
Soggetto non controllato Romanian coastal environment
neural networks
intermittent heating
wind velocities
time-space network
optimal chiller loading (OCL)
renewable energy
pure electric buses
mixed-integer non-linear programming problem (MINLP)
control system
FANP
energy consumption
load regulation
energy
smart box
novel method
smart logistics system
multiple uncertainties
non-intrusive load monitoring
wind speed forecasting
solid waste to energy plant
uncertain cooling demand
dual robust optimization
Black Sea
field test and numerical simulation
electric power
sustainable development
multi-type bus operating organization
cuckoo search algorithm
vehicular emissions
SWAN
public transport
product quality model
MCDM
TOPSIS
heat transfer
solar energy
forecasting validity
information gap decision theory (IGDT)
photovoltaic systems
configurations of internal wall
ensemble empirical mode decomposition
agricultural pruning
hot summer and cold winter climate zone
energy and environmental systems
feature extraction
information platform
pruning biomass
smart grid
product usability testing
meteorological variables
fuzzy logic
performance evaluation
rural residential building
threshold value of daily operation hours
datacenter
wave energy
thermal comfort
heat storage and release
resampling
risk aversion
environment
support vector machine
internal coverings
numerical models
gradient descent
renewable biomass energy
demand response
ISBN 3-03928-047-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372783903321
Mohammadi-ivatloo Behnam  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
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