Studies in Infrastructure and Control – serie

This book offers a clear overview of how digital technologies and numerical methods are transforming modern energy systems. With rising demand for sustainable solutions, industries face challenges such as optimizing energy use, improving system reliability, and enhancing the performance of electric vehicles, microgrids, and energy storage systems. This book shows how tools like numerical analysis, deep learning, machine learning, and real-time simulation are being used to address these issues. It highlights advances that strengthen grid stability, improve EV and storage performance, and protect critical infrastructure from cyber threats. Through practical examples and case studies, this book demonstrates how digital innovation is shaping a smarter, more efficient, and more secure energy future. It is a valuable resource for engineers, researchers, and professionals working to advance modern energy technologies.

This book bridges the gap between theoretical research and practical applications in the field of smart building energy management. With a structure that offers a blend of theoretical concepts, practical implementations, and case studies, the book is designed to serve as a comprehensive resource for researchers, practitioners, and students. It navigates through control strategies, meta-heuristic approaches, intelligent controller designs, and the balancing of energy efficiency with occupant comfort, all underpinned by both academic research and industry practices. Specific pedagogical examples involving Python™ have been used within the book to aid the understanding of certain concepts, in addition to a chapter dedicated to EnergyPlus™.

This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of smart structures in energy infrastructure.

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2021) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during 15–16 April 2021. The book includes conference papers on the theme “Computational Techniques for Renewable Energy Optimization”, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends and concerns as well as practical challenges encountered and solutions adopted in the fields of smart structures in energy infrastructure.

This book mainly focuses on the innovations in intelligent transportation infrastructure and management. The content of the book is selected in such a way that it will cover a wide range of areas to integrate advanced technologies and provide best and innovative solution to problems faced by the rapidly growing transportation sector. The topics of the book primarily address the needs of the students in civil, electrical, and mechanical engineering. It is equally useful as reference material for innovators, inventors, practitioners, and policymaker for an innovative and classified solution in the field of transportation and infrastructure management. Looking at the global electric and hybrid vehicles market, the book focuses on and discuss recent developments in electric mobility across the globe. In this edition, we try to feature toward an update on the performance and costs of batteries which is the current demand of the consumers. The book inspires researchers, innovators, industryexperts, and policymakers to consider the solutions into the practice.

This book mainly focuses on the innovations in intelligent transportation infrastructure and management. The content of the book is selected in such a way that it will cover a wide range of areas to integrate advanced technologies and provide best and innovative solution to problems faced by the rapidly growing transportation sector. The topics of the book primarily address the needs of the students in civil, electrical, and mechanical engineering. It is equally useful as reference material for innovators, inventors, practitioners, and policymaker for an innovative and classified solution in the field of transportation and infrastructure management. Looking at the global electric and hybrid vehicles market, the book focuses on and discuss recent developments in electric mobility across the globe. In this edition, we try to feature toward an update on the performance and costs of batteries which is the current demand of the consumers. The book inspires researchers, innovators, industryexperts, and policymakers to consider the solutions into the practice.

This book addresses comprehensive issues of infrastructure management at the sectoral level in India. This book analyses four critical sectors viz. Transportation, Power, Urban, and Digital Infrastructure and their planning and management from an Indian perspective. The book also identifies empirical risks and challenges in the planning and management of infrastructure in India. A diverse set of management solutions that can support better infrastructure management across sectors are also discussed in the present book.

This book provides an overview of how efficient building energy management can be done, considering the increasing importance of renewable energy integration. It also includes the grid-interactive building, their control, energy management, and optimization techniques to promote better understanding among researchers and business professionals in the utility sector and across industries. This book is written and edited by leading specialists active in concurrent developments in smart building management, renewable energy research, and application-driven R&D. The experiences and research work shared help the readers in enhancing their knowledge in the field of renewable energy, power engineering, building energy management, demand, and supply management and learn the technical analysis of the same in an insightful manner. Additionally, established and emerging applications related to applied areas like smart cities, the Internet of things, machine learning, artificial intelligence, etc., are developed and utilized to demonstrate recent innovations in smart building energy management.

This book provides an overview of how efficient building energy management can be done, considering the increasing importance of renewable energy integration. It also includes the grid-interactive building, their control, energy management, and optimization techniques to promote better understanding among researchers and business professionals in the utility sector and across industries. This book is written and edited by leading specialists active in concurrent developments in smart building management, renewable energy research, and application-driven R&D. The experiences and research work shared help the readers in enhancing their knowledge in the field of renewable energy, power engineering, building energy management, demand, and supply management and learn the technical analysis of the same in an insightful manner. Additionally, established and emerging applications related to applied areas like smart cities, the Internet of things, machine learning, artificial intelligence, etc., are developed and utilized to demonstrate recent innovations in smart building energy management.

This book covers complete spectrum of the ICT infrastructure elements required to design, develop and deploy the ICT applications at large scale. Considering the focus of governments worldwide to develop smart cities with zero environmental footprint, the book is timely and enlightens the way forward to achieve the goal by addressing the technological aspects. In particular, the book provides an in depth discussion of the sensing infrastructure, communication protocols, computation frameworks, storage architectures, software frameworks, and data analytics. The book also presents the ICT application-related case studies in the domain of transportation, health care, energy, and disaster management, to name a few. The book is used as a reference for design, development, and large-scale deployment of ICT applications by practitioners, professionals, government officials, and engineering students.

This book covers complete spectrum of the ICT infrastructure elements required to design, develop and deploy the ICT applications at large scale. Considering the focus of governments worldwide to develop smart cities with zero environmental footprint, the book is timely and enlightens the way forward to achieve the goal by addressing the technological aspects. In particular, the book provides an in depth discussion of the sensing infrastructure, communication protocols, computation frameworks, storage architectures, software frameworks, and data analytics. The book also presents the ICT application-related case studies in the domain of transportation, health care, energy, and disaster management, to name a few. The book is used as a reference for design, development, and large-scale deployment of ICT applications by practitioners, professionals, government officials, and engineering students.

The book investigates the fractional calculus-based approaches and their benefits to adopting in complex real-time areas. Another objective is to provide initial solutions for new areas where fractional theory has yet to verify the expertise. The book focuses on the latest scientific interest and illustrates the basic idea of general fractional calculus with MATLAB codes. This book is ideal for researchers working on fractional calculus theory both in simulation and hardware. Researchers from academia and industry working or starting research in applied fractional calculus methods will find the book most useful. The scope of this book covers most of the theoretical and practical studies on linear and nonlinear systems using fractional-order integro-differential operators.

The book investigates the fractional calculus-based approaches and their benefits to adopting in complex real-time areas. Another objective is to provide initial solutions for new areas where fractional theory has yet to verify the expertise. The book focuses on the latest scientific interest and illustrates the basic idea of general fractional calculus with MATLAB codes. This book is ideal for researchers working on fractional calculus theory both in simulation and hardware. Researchers from academia and industry working or starting research in applied fractional calculus methods will find the book most useful. The scope of this book covers most of the theoretical and practical studies on linear and nonlinear systems using fractional-order integro-differential operators.

This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant. In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI  controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.

This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant. In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI  controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.

This book presents novel idea and concepts developed by the researchers/academia and practicing engineers working in the domain of the power sector infrastructures where power electronics infrastructures are used for improving the system reliability and efficiency in on-grid and off-grid systems. The infrastructures of distributed power generation based on wind, solar, hydro and many other renewable energy sources have increased manifold since last decade due to availability of efficient power converters and small rating generators. The application of power electronics switching devices has made job much easier to make such system infrastructures more reliable and controllable. The power quality (PQ) issues in infrastructures of distributed power generation system are a major concern for customers. The custom power devices such as voltage source converter are used to mitigate the PQ and other issues such as voltage and frequency control under different loading conditions on the supply system. The operation of these custom power devices or other power converters is dependent on the duty cycles generated by control algorithm. The scope of control algorithm may be varying from model predictive control techniques, machine learning techniques to other artificial intelligence-based techniques. In addition to it, some classical control algorithm and adaptive-type control algorithm may also be used for power converter operation. This book creates awareness among teachers, research students and industry persons about better utilization of infrastructures of distributed power generation system by making it more efficient with the use of power electronics and its control.

This book presents novel idea and concepts developed by the researchers/academia and practicing engineers working in the domain of the power sector infrastructures where power electronics infrastructures are used for improving the system reliability and efficiency in on-grid and off-grid systems. The infrastructures of distributed power generation based on wind, solar, hydro and many other renewable energy sources have increased manifold since last decade due to availability of efficient power converters and small rating generators. The application of power electronics switching devices has made job much easier to make such system infrastructures more reliable and controllable. The power quality (PQ) issues in infrastructures of distributed power generation system are a major concern for customers. The custom power devices such as voltage source converter are used to mitigate the PQ and other issues such as voltage and frequency control under different loading conditions on the supply system. The operation of these custom power devices or other power converters is dependent on the duty cycles generated by control algorithm. The scope of control algorithm may be varying from model predictive control techniques, machine learning techniques to other artificial intelligence-based techniques. In addition to it, some classical control algorithm and adaptive-type control algorithm may also be used for power converter operation. This book creates awareness among teachers, research students and industry persons about better utilization of infrastructures of distributed power generation system by making it more efficient with the use of power electronics and its control.

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2022) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during October 7–8, 2022. The book includes conference papers on the theme ‘Computational Techniques for Renewable Energy Optimization,’ which aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control, and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2022) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during October 7–8, 2022. The book includes conference papers on the theme ‘Computational Techniques for Renewable Energy Optimization,’ which aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control, and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

This book provides extensive coverage of recent development in the areas of electric vehicle (EV) charging infrastructures and its grid integration, power converters, use of power electronics and its control. This book presents how hybrid renewable power infrastructure for sustainable EV development integrates renewable energy sources, such as solar and wind, with hydrogen fuel cells, enabling efficient energy generation and storage to support electric vehicle (EV) development and enhance microgrid performance. It also discusses advanced power management techniques which ensure optimal energy distribution between the renewable sources, fuel cells, and EV charging stations, maximizing system efficiency and reliability while minimizing costs and environmental impact. The teachers, students, and practising engineers can take some insight for their work from this book.

The book presents basic terminologies of charging infrastructures such as types, levels, and suitable power converters applications. Various energy storage technologies, such as lithium-ion batteries charging strategies and battery management system (BMS) and battery swapping, are discussed in the book. In this book, some guidelines by the Ministry of Power and Ministry of Housing (Government of India) are discussed which can help an individual to set up a charging infrastructure at their end. Also, the novel idea and concepts developed by the researchers/academia and practicing engineers working in the domain of the EV charging infrastructures are incorporated. The active and reactive power control strategy along with other parameters estimation and control are also included to make this book popular among the readers.

The book presents basic terminologies of charging infrastructures such as types, levels, and suitable power converters applications. Various energy storage technologies, such as lithium-ion batteries charging strategies and battery management system (BMS) and battery swapping, are discussed in the book. In this book, some guidelines by the Ministry of Power and Ministry of Housing (Government of India) are discussed which can help an individual to set up a charging infrastructure at their end. Also, the novel idea and concepts developed by the researchers/academia and practicing engineers working in the domain of the EV charging infrastructures are incorporated. The active and reactive power control strategy along with other parameters estimation and control are also included to make this book popular among the readers.

This book provides overview of numerous control schemes for non-minimum phase and dead-time systems.  The inverse response arises from the conflict of two first-order systems with opposite effects. This feature of the system is known as non-minim phase (NMP) process. The opposite response initiates from odd multiplicity of NMP open-loop zeros. As a result, the controller shows a limited gain margin and bandwidth, implying a robustness restriction. If the user tries to increase the gain, system sometimes gets unstable. Thus, the fundamental notion of providing a suitable balance control theory can potentially improve the performance of those processes.  This book is useful to researchers working in the field of control system. The book provides comprehensive philosophy of different control schemes used for the non-minimum phase zeros and dead-time systems. The researcher working on non-minimum phase zeros can find innovative algorithms and novel schemes. Further, they can design innovative control schemes by referring to the content of chapters and specifically tuning after encountering NMP zeros and delay terms.

This book provides overview of numerous control schemes for non-minimum phase and dead-time systems.  The inverse response arises from the conflict of two first-order systems with opposite effects. This feature of the system is known as non-minim phase (NMP) process. The opposite response initiates from odd multiplicity of NMP open-loop zeros. As a result, the controller shows a limited gain margin and bandwidth, implying a robustness restriction. If the user tries to increase the gain, system sometimes gets unstable. Thus, the fundamental notion of providing a suitable balance control theory can potentially improve the performance of those processes.  This book is useful to researchers working in the field of control system. The book provides comprehensive philosophy of different control schemes used for the non-minimum phase zeros and dead-time systems. The researcher working on non-minimum phase zeros can find innovative algorithms and novel schemes. Further, they can design innovative control schemes by referring to the content of chapters and specifically tuning after encountering NMP zeros and delay terms.

The fields of photonics and electronics are at the heart of technological innovation, driving progress across industries and shaping the future of human connectivity, automation, and sustainability. The book is a comprehensive exploration of the critical developments, economic strategies, and cutting-edge technologies revolutionizing these domains. This book delves into India's unique position in the global electronics landscape, emphasizing its export strength and comparative advantages. It examines the dynamic role of investments, economic models, and incentives in building self-reliance and boosting domestic manufacturing. The importance of supply chain management in fostering technological growth is discussed, along with the transformative potential of adopting circular economy principles for sustainability. The book also explores the synergy between photonics, electronics, and artificial intelligence, highlighting advancements in machine learning that are redefining possibilities in the field. From optimizing manufacturing processes to harnessing AI-driven solutions, this book offers insights into how technology is reshaping the world of electronics and photonics. Whether you are an academic, a policymaker, an industry professional, or a student of technology and innovation, this book provides a rich foundation for understanding the dynamic forces shaping the future of photonics and electronics in India and beyond.