Advances in Oil-Water Separation: A Complete Guide for Physical, Chemical, and Biochemical Processes discusses a broad variety of chemical, physical and biochemical processes, including skimming, membrane separation, adsorption, onsite chemical reactions, burning and usage of suitable microbial strains for onsite degradation of oil. It critically reviews all current developments in oil-water separation processes and technologies, identifies gaps and illuminates the scope for future research and development in the field.� This book provides researchers, engineers and environmental professionals working in oil recovery and�storage with solutions for disposal of waste oil and separation of oil from water in a sustainable, environmentally-friendly way.

As the book provides a complete state-of-art overview on oil-water separation technologies, it will also ease literature searches on oil-water separation technologies.

Disposal and Recycling Strategies for Nano-engineered Materials enables the reader to understand and implement the latest methods for the safe disposal and re-use of nanomaterials found in the environment at end-of-life. Sections introduce nanomaterials, their general classification, properties, and preparation techniques before providing an overview and analysis of common disposal strategies. This is followed by in-depth chapters that focus on important steps and innovative strategies in dealing with waste nanomaterials, including sampling, classification and identification of waste materials, green technologies and biodegradation strategies, physico-chemical disposal, integrated technologies to prevent or control nanomaterial wastes entering the environment, and more.

This is a valuable resource for researchers, advanced students, engineers, and scientists, with an interest in nanomaterials, their life cycle, waste, and recycling, water treatment, chemical engineering, environmental science, materials science, chemistry, and sustainability.

3D Printing Technology for Water Treatment Applications provides a state-of-the-art presentation on the application of 3D printing technology in water treatment. The book discusses numerous processes and their scope for improvement through the use of 3D-printing technology, including pollutant separation from water and an overview of the advantages and disadvantages of different 3D printed technology over current technologies. In addition, the future outlook for device development using 3D printing water purification is explored. Finally, sustainability issues relating to 3D printing-based water purification processes are discussed, describing specific technologies such as 3D printed membranes.

This book will serve as a vital resource for scientists, engineers and environmental professionals working in water treatment technologies.

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects.

Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India.

Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India.

Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India).

Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India.

Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects.

Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India.

Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India.

Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India).

Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India.

Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.

Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning.

This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.

Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning.

This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

This book provides recent developments and advancements in management of plastic wastes and associated challenges with it. It primarily addresses the issues of plastics that might drastically affect the lifeform in the long run and its prevention by introducing appropriate alternatives and/or finding strategies to mitigate the existing microplastic crisis using suitable approaches. It focusses on efforts on neutralizing and restricting further spread of microplastic pollution, its bioaccumulation and associated human health impacts.

Features:

This book is aimed at researchers and graduate students in environmental and chemical engineering and remediation.

This book provides recent developments and advancements in management of plastic wastes and associated challenges with it. It primarily addresses the issues of plastics that might drastically affect the lifeform in the long run and its prevention by introducing appropriate alternatives and/or finding strategies to mitigate the existing microplastic crisis using suitable approaches. It focusses on efforts on neutralizing and restricting further spread of microplastic pollution, its bioaccumulation and associated human health impacts.

Features:

This book is aimed at researchers and graduate students in environmental and chemical engineering and remediation.

Most of the time, industrial wastes contain recoverable resources that would be useful in other applications. For example, greywater have enough nutrient to support the growth of microalgal biomass that are useful for biofuel production. Similarly, solid waste generated in metal extraction industries often contain high concentration of other metals that could be extracted using various processes. This book presents a critical overview on the current nanotechnologies that are being utilized for extraction of valuable resources from various industrial and domestic wastes. This book presents research, reviews, and case studies on the extraction of metal, organic compounds, energy and nutrients from waste through nanotechnological interventions.

Most of the time, industrial wastes contain recoverable resources that would be useful in other applications. For example, greywater have enough nutrient to support the growth of microalgal biomass that are useful for biofuel production. Similarly, solid waste generated in metal extraction industries often contain high concentration of other metals that could be extracted using various processes. This book presents a critical overview on the current nanotechnologies that are being utilized for extraction of valuable resources from various industrial and domestic wastes. This book presents research, reviews, and case studies on the extraction of metal, organic compounds, energy and nutrients from waste through nanotechnological interventions.

Biocomposites: Design and Mechanical Performance describes recent research on cost-effective ways to improve the mechanical toughness and durability of biocomposites, while also reducing their weight.

Beginning with an introduction to commercially competitive natural fiber-based composites, chapters then move on to explore the mechanical properties of a wide range of biocomposite materials, including polylactic, polyethylene, polycarbonate, oil palm, natural fiber epoxy, polyhydroxyalkanoate, polyvinyl acetate, polyurethane, starch, flax, poly (propylene carbonate)-based biocomposites, and biocomposites from biodegradable polymer blends, natural fibers, and green plastics, giving the reader a deep understanding of the potential of these materials.

This volume delves into how cutting-edge geospatial tools are revolutionizing social physics—the quantitative study of human behavior and spatial dynamics. Through real-world case studies, the book demonstrates how geospatial analysis is applied to pressing social and environmental challenges, from migration flows and resource distribution to healthcare access, crime, disaster management, and urban planning. Readers will explore how these tools reveal the complexities of human movement, socio-spatial interactions, and behavioral patterns.

The book is structured into five sections, each tackling key topics at the intersection of social physics and geospatial analysis:

Ideal for academics, researchers, urban planners, and policymakers, this volume provides innovative methodologies to address complex social, environmental, and economic challenges. Whether examining migration trends or advancing sustainability, this book equips readers with the tools to transform how we understand human behavior and space.

Advances in Oil-Water Separation: A Complete Guide for Physical, Chemical, and Biochemical Processes discusses a broad variety of chemical, physical and biochemical processes, including skimming, membrane separation, adsorption, onsite chemical reactions, burning and usage of suitable microbial strains for onsite degradation of oil. It critically reviews all current developments in oil-water separation processes and technologies, identifies gaps and illuminates the scope for future research and development in the field.� This book provides researchers, engineers and environmental professionals working in oil recovery and�storage with solutions for disposal of waste oil and separation of oil from water in a sustainable, environmentally-friendly way.

As the book provides a complete state-of-art overview on oil-water separation technologies, it will also ease literature searches on oil-water separation technologies.

Disposal and Recycling Strategies for Nano-engineered Materials enables the reader to understand and implement the latest methods for the safe disposal and re-use of nanomaterials found in the environment at end-of-life. Sections introduce nanomaterials, their general classification, properties, and preparation techniques before providing an overview and analysis of common disposal strategies. This is followed by in-depth chapters that focus on important steps and innovative strategies in dealing with waste nanomaterials, including sampling, classification and identification of waste materials, green technologies and biodegradation strategies, physico-chemical disposal, integrated technologies to prevent or control nanomaterial wastes entering the environment, and more.

This is a valuable resource for researchers, advanced students, engineers, and scientists, with an interest in nanomaterials, their life cycle, waste, and recycling, water treatment, chemical engineering, environmental science, materials science, chemistry, and sustainability.

3D Printing Technology for Water Treatment Applications provides a state-of-the-art presentation on the application of 3D printing technology in water treatment. The book discusses numerous processes and their scope for improvement through the use of 3D-printing technology, including pollutant separation from water and an overview of the advantages and disadvantages of different 3D printed technology over current technologies. In addition, the future outlook for device development using 3D printing water purification is explored. Finally, sustainability issues relating to 3D printing-based water purification processes are discussed, describing specific technologies such as 3D printed membranes.

This book will serve as a vital resource for scientists, engineers and environmental professionals working in water treatment technologies.

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects.

Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India.

Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India.

Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India).

Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India.

Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide range of approaches and application perspectives. The authors examine how embedded system applications can deal with the smart monitoring and controlling of stand-alone and grid-connected solar photovoltaic (PV) systems for increased efficiency. Growth in the area of artificial intelligence with embedded system applications has led to a new era in computing, impacting almost all fields of science and engineering. Soft computing methods implemented to energy-related problems regularly face data-driven issues such as problems of optimization, classification, clustering, or prediction. The authors offer real-time implementation of soft computing and embedded system in the area of solar energy to address the issues with microgrid and smart grid projects (both renewable and non-renewable generations), energy management, and power regulation. They also discuss and examine alternative solutions for energy capacity assessment, energy efficiency systems design, as well as other specific smart grid energy system applications. The book is intended for students, professionals, and researchers in electrical and computer engineering fields, working on renewable energy resources, microgrids, and smart grid projects.

Dr. Rupendra Kumar Pachauri is Assistant Professor – Selection Grade in the Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun, India.

Dr. Jitendra Kumar Pandey is Professor & Head of R&D in the University of Petroleum and Energy Studies (UPES), Dehradun, India.

Mr. Abhishek Sharma is working as a research scientist in the research and development department (UPES, India).

Dr. Om Prakash Nautiyal is working as a scientist in Uttarakhand Science Education & Research Centre (USERC), Department of Information and Science Technology, Govt. of Uttarakhand, Dehradun, India.

Prof. Mangey Ram is working as a Research Professor at Graphic Era Deemed to be University, Dehradun, India.

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.

Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning.

This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.

Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning.

This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

This book provides recent developments and advancements in management of plastic wastes and associated challenges with it. It primarily addresses the issues of plastics that might drastically affect the lifeform in the long run and its prevention by introducing appropriate alternatives and/or finding strategies to mitigate the existing microplastic crisis using suitable approaches. It focusses on efforts on neutralizing and restricting further spread of microplastic pollution, its bioaccumulation and associated human health impacts.

Features:

This book is aimed at researchers and graduate students in environmental and chemical engineering and remediation.

This book provides recent developments and advancements in management of plastic wastes and associated challenges with it. It primarily addresses the issues of plastics that might drastically affect the lifeform in the long run and its prevention by introducing appropriate alternatives and/or finding strategies to mitigate the existing microplastic crisis using suitable approaches. It focusses on efforts on neutralizing and restricting further spread of microplastic pollution, its bioaccumulation and associated human health impacts.

Features:

This book is aimed at researchers and graduate students in environmental and chemical engineering and remediation.

Most of the time, industrial wastes contain recoverable resources that would be useful in other applications. For example, greywater have enough nutrient to support the growth of microalgal biomass that are useful for biofuel production. Similarly, solid waste generated in metal extraction industries often contain high concentration of other metals that could be extracted using various processes. This book presents a critical overview on the current nanotechnologies that are being utilized for extraction of valuable resources from various industrial and domestic wastes. This book presents research, reviews, and case studies on the extraction of metal, organic compounds, energy and nutrients from waste through nanotechnological interventions.

Most of the time, industrial wastes contain recoverable resources that would be useful in other applications. For example, greywater have enough nutrient to support the growth of microalgal biomass that are useful for biofuel production. Similarly, solid waste generated in metal extraction industries often contain high concentration of other metals that could be extracted using various processes. This book presents a critical overview on the current nanotechnologies that are being utilized for extraction of valuable resources from various industrial and domestic wastes. This book presents research, reviews, and case studies on the extraction of metal, organic compounds, energy and nutrients from waste through nanotechnological interventions.

Biocomposites: Design and Mechanical Performance describes recent research on cost-effective ways to improve the mechanical toughness and durability of biocomposites, while also reducing their weight.

Beginning with an introduction to commercially competitive natural fiber-based composites, chapters then move on to explore the mechanical properties of a wide range of biocomposite materials, including polylactic, polyethylene, polycarbonate, oil palm, natural fiber epoxy, polyhydroxyalkanoate, polyvinyl acetate, polyurethane, starch, flax, poly (propylene carbonate)-based biocomposites, and biocomposites from biodegradable polymer blends, natural fibers, and green plastics, giving the reader a deep understanding of the potential of these materials.

This volume delves into how cutting-edge geospatial tools are revolutionizing social physics—the quantitative study of human behavior and spatial dynamics. Through real-world case studies, the book demonstrates how geospatial analysis is applied to pressing social and environmental challenges, from migration flows and resource distribution to healthcare access, crime, disaster management, and urban planning. Readers will explore how these tools reveal the complexities of human movement, socio-spatial interactions, and behavioral patterns.

The book is structured into five sections, each tackling key topics at the intersection of social physics and geospatial analysis:

Ideal for academics, researchers, urban planners, and policymakers, this volume provides innovative methodologies to address complex social, environmental, and economic challenges. Whether examining migration trends or advancing sustainability, this book equips readers with the tools to transform how we understand human behavior and space.