Morteza Nazari-Heris – författare

Hydrogen Fuel Cell Electric Vehicles: Fundamentals, Design, Performance, Applications, and AI-Driven Commercialization provides an authoritative resource on hydrogen fuel cell electric vehicles (HFCEVs), covering fundamentals, methods, and applications, and addressing the latest advances and changes in related technologies, and in the market. This book aims to serve as a comprehensive and interdisciplinary resource for understanding HFCEVs and their role in achieving net-zero electrification. It investigates HFCEVs from multiple dimensions, beginning with the fundamentals of HFCEV operation, their environmental benefits, and their principles. In addition, it presents a detailed strengths, weaknesses, opportunities, and threats analysis, examining the intricacies of hydrogen production and infrastructure development. It further assesses the techno-economic feasibility of green hydrogen-powered HFCEVs through levelized cost analyses, providing insights into their economic viability. In addition, the book covers the design, performance, and applications of HFCEVs, alongside the role of hydrogen fueling stations, their technologies, and prognostic management. The integration of artificial intelligence (AI) and machine learning in optimizing energy management is explored, highlighting innovative approaches to enhancing efficiency. The book also addresses industrial and commercial gaps, identifying opportunities for startups and entrepreneurs in this field. In addition, it reviews international standards governing HFCEVs and aligns their advancements with the United Nations Sustainable Development Goals (UN-SDGs), emphasizing their broader techno-socio-economic impact. Finally, the challenges and future work are considered, including technological, infrastructural, and economic obstacles, and their possible solutions.This is a valuable book for all those with an interest in hydrogen fuel cells, clean energy technologies, electric vehicles, sustainable transportation, and energy storage, including researchers, students, faculty, engineers, Research & Development professionals, scientists, industry professionals, and policymakers.Explains fundamental principles and working mechanisms of hydrogen fuel cellsCovers hydrogen production methods, storage, and distribution infrastructuresOffers detailed analyses of HFCEV components, performance, efficiency, and environmental impactsDiscusses challenges, future research, and alignment with UN-SDGs, providing gaps as opportunities for startups and AI-driven commercialization

Hydrogen Fuel Cell Electric Vehicles: Fundamentals, Design, Performance, Applications, and AI-Driven Commercialization provides an authoritative resource on hydrogen fuel cell electric vehicles (HFCEVs), covering fundamentals, methods, and applications, and addressing the latest advances and changes in related technologies, and in the market. This book aims to serve as a comprehensive and interdisciplinary resource for understanding HFCEVs and their role in achieving net-zero electrification. It investigates HFCEVs from multiple dimensions, beginning with the fundamentals of HFCEV operation, their environmental benefits, and their principles. In addition, it presents a detailed strengths, weaknesses, opportunities, and threats analysis, examining the intricacies of hydrogen production and infrastructure development. It further assesses the techno-economic feasibility of green hydrogen-powered HFCEVs through levelized cost analyses, providing insights into their economic viability. In addition, the book covers the design, performance, and applications of HFCEVs, alongside the role of hydrogen fueling stations, their technologies, and prognostic management. The integration of artificial intelligence (AI) and machine learning in optimizing energy management is explored, highlighting innovative approaches to enhancing efficiency. The book also addresses industrial and commercial gaps, identifying opportunities for startups and entrepreneurs in this field. In addition, it reviews international standards governing HFCEVs and aligns their advancements with the United Nations Sustainable Development Goals (UN-SDGs), emphasizing their broader techno-socio-economic impact. Finally, the challenges and future work are considered, including technological, infrastructural, and economic obstacles, and their possible solutions.This is a valuable book for all those with an interest in hydrogen fuel cells, clean energy technologies, electric vehicles, sustainable transportation, and energy storage, including researchers, students, faculty, engineers, Research & Development professionals, scientists, industry professionals, and policymakers. - Explains fundamental principles and working mechanisms of hydrogen fuel cells- Covers hydrogen production methods, storage, and distribution infrastructures- Offers detailed analyses of HFCEV components, performance, efficiency, and environmental impacts- Discusses challenges, future research, and alignment with UN-SDGs, providing gaps as opportunities for startups and AI-driven commercialization

Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration offering a multidisciplinary approach to integrating electric vehicle charging needs into renewable-powered grids.This book begins with an overview of fundamental technical challenges, tariff mechanisms, and successful implementation examples for renewable-to-vehicle smart charging. Subsequent chapters detail cutting-edge machine learning and Internet-of-Things techniques for load-forecasting and charging resilience, before guiding readers through planning considerations including energy trading methods, fuel-cell vehicles, charging points size and location, and uncertainty modeling.Combining a step-by-step grounding in key challenges and opportunities with practical case studies in the latest ML and AI technologies, Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration will support students, researchers, and engineers in integrating electric vehicle charging to the renewable-based grids of the future.Builds from foundational concepts to specific, practical methodologiesLeverages cutting-edge technologies from machine learning and the Internet-of-Things to blockchainDemonstrates real-world applications through case studies and detailed calculations

This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. Chapters cover both theoretical background and applications to address common uncertainty factors such as load variation, power market price, and power generation of renewable energy sources. Case studies with real-world applications are included to help undergraduate and graduate students, researchers and engineers solve robust power and energy optimization problems and provide effective and promising solutions for the robust planning and operation of electric energy systems.

This book discusses the optimal design and operation of multi-carrier energy systems, providing a comprehensive review of existing systems as well as proposing new models. Chapters cover the theoretical background and application examples of interconnecting energy technologies such as combined heat and power plants, natural gas-fired power plants, power to gas technology, hydropower plants, and water desalination systems, taking into account the operational and technical constraints of each interconnecting element and the network constraint of each energy system. This book will be a valuable reference for power network and mechanical system professionals and engineers, electrical power engineering researchers and developers, and professionals from affiliated power system planning communities.Provides insight on the design and operation of multi-carrier energy systems;Covers both theoretical aspects and technical applications;Includes case studies to helpapply concepts to real engineering situations.

This book discusses the optimal design and operation of multi-carrier energy systems, providing a comprehensive review of existing systems as well as proposing new models. Chapters cover the theoretical background and application examples of interconnecting energy technologies such as combined heat and power plants, natural gas-fired power plants, power to gas technology, hydropower plants, and water desalination systems, taking into account the operational and technical constraints of each interconnecting element and the network constraint of each energy system. This book will be a valuable reference for power network and mechanical system professionals and engineers, electrical power engineering researchers and developers, and professionals from affiliated power system planning communities.Provides insight on the design and operation of multi-carrier energy systems;Covers both theoretical aspects and technical applications;Includes case studies to helpapply concepts to real engineering situations.

This book discusses the optimal design and operation of multi-carrier energy systems, providing a comprehensive review of existing systems as well as proposing new models. Chapters cover the theoretical background and application examples of interconnecting energy technologies such as combined heat and power plants, natural gas-fired power plants, power to gas technology, hydropower plants, and water desalination systems, taking into account the operational and technical constraints of each interconnecting element and the network constraint of each energy system. This book will be a valuable reference for power network and mechanical system professionals and engineers, electrical power engineering researchers and developers, and professionals from affiliated power system planning communities.Provides insight on the design and operation of multi-carrier energy systems;Covers both theoretical aspects and technical applications;Includes case studies to helpapply concepts to real engineering situations.

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. It introduces practical approaches to improving the energy systems of buildings in order to reduce energy consumption and cost. Renewable Energy for Buildings is suitable for retrofit engineers, energy engineers, and professionals, as well as researchers and developers in electrical engineering, architectural engineering, and mechanical engineering. Moreover, it can be used by undergraduate and graduate students to become familiar with the most recent developments in building energy systems.​Examines the most recent developments in building energy systems;Looks at practical applications and theoretical aspects; Includes case studies.

The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. It introduces practical approaches to improving the energy systems of buildings in order to reduce energy consumption and cost. Renewable Energy for Buildings is suitable for retrofit engineers, energy engineers, and professionals, as well as researchers and developers in electrical engineering, architectural engineering, and mechanical engineering. Moreover, it can be used by undergraduate and graduate students to become familiar with the most recent developments in building energy systems.​Examines the most recent developments in building energy systems;Looks at practical applications and theoretical aspects; Includes case studies.

The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. It introduces practical approaches to improving the energy systems of buildings in order to reduce energy consumption and cost. Renewable Energy for Buildings is suitable for retrofit engineers, energy engineers, and professionals, as well as researchers and developers in electrical engineering, architectural engineering, and mechanical engineering. Moreover, it can be used by undergraduate and graduate students to become familiar with the most recent developments in building energy systems.​Examines the most recent developments in building energy systems;Looks at practical applications and theoretical aspects; Includes case studies.

This book explores the theoretical background and provides an experimental analysis of using natural energy resources in sustainable building design. It brings together an international group of contributors focusing on ways natural energy, lighting, and ventilation can improve the performance of electrical, lighting, and mechanical systems. Contributions explore how natural resources can contribute to sustainable development goals while meeting energy demands and maintaining acceptable interior air quality and natural illumination needs. Coverage includes green building design, renewable energy integration, photovoltaic systems, small-scale wind turbines, natural lighting, and natural ventilation. Natural Energy, Lighting, and Ventilation in Sustainable Buildings offers practical and promising solutions for novel challenges in sustainable design for electrical engineers, energy engineers, architectural engineers, and related professionals, as well asresearchers and developers from engineering science.

This book explores the theoretical background and provides an experimental analysis of using natural energy resources in sustainable building design. It brings together an international group of contributors focusing on ways natural energy, lighting, and ventilation can improve the performance of electrical, lighting, and mechanical systems. Contributions explore how natural resources can contribute to sustainable development goals while meeting energy demands and maintaining acceptable interior air quality and natural illumination needs. Coverage includes green building design, renewable energy integration, photovoltaic systems, small-scale wind turbines, natural lighting, and natural ventilation. Natural Energy, Lighting, and Ventilation in Sustainable Buildings offers practical and promising solutions for novel challenges in sustainable design for electrical engineers, energy engineers, architectural engineers, and related professionals, as well asresearchers and developers from engineering science.

This book covers the practical application of AI-based methods in modern power systems. The complexity of current power system operations has dramatically increased due to the higher penetration of renewable energy sources and power electronic components. Therefore, providing efficient techniques is essential for secure and clean power system operation. This book focuses on the data-driven operation of the digitalized power system using machine language (ML). First, the basics of power system operation and control are presented, covering various areas of system control and operation. Next, significant advances in modern power systems and their corresponding challenges are discussed, and artificial intelligence (AI)-powered techniques, specifically machine learning, are introduced to address these issues. The book also explores AI-powered applications in the operation of power systems. These applications include various aspects of the data-driven process in both situational awareness and control areas. They are presented as practical examples indicating the implementation of an ML-based method to solve operational problems. Artificial Intelligence in the Operation and Control of Digitalized Power Systems is a valuable guide for students, researchers, and practicing engineers to AI-based techniques and real-world applications in power systems.