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Elsevier

Books in Physical sciences and engineering

  • Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition

    • 1st Edition
    • Mohammad Taghi Ameli + 6 more
    • English
    Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition examines the critical role that integrated gas and electricity networks play in achieving a sustainable, low-carbon energy future. Sections cover innovative low-carbon technologies, such as hydrogen and ammonia, while addressing synthesis, storage, and transportation hurdles. Its detailed content covers the flexibility of coupled gas and electricity networks, operational strategies for achieving net-zero carbon emissions, and intelligent methods for assessing network adaptability. Users will find a conceptual overview of decarbonization efforts for integrated energy systems and discussions on the feasibility of integrating artificial intelligence (AI) in these processes. Further, the book discusses the decoupling of emissions from economic growth, the role of negative emission technologies (NETs), and the application of innovative energy solutions such as gas carbon capture and storage (CCS) and hydrogen production. Case studies illustrate successful implementations of integrated networks worldwide, highlighting challenges and key lessons learned. It not only highlights the urgent need for flexibility in these interconnected systems, particularly through demand-side management and energy storage systems, but also addresses the pressing challenges posed by climate change and the transition away from fossil fuels.

  • Advanced Smart Hydrogel Modeling

    • 1st Edition
    • Hua Li
    • English
    Advanced Smart Hydrogel Modeling provides structured computational models alongside experimental validation for predicting hydrogel performance under complex biochemical and physical stimuli. Guidance on using these models in specific biomedical and engineering applications is also covered, as are the latest developments in the area of hydrogels. Stimuli discussed include magnetic field, pressure coupled with temperature, pH coupled with magnetic field, salt concentration, light, glucose or carbohydrate concentration, urea concentration, and pH coupled with oxygen concentration.The book also includes a chapter discussing the plant mimosa pudica as a smart natural plant system, focusing on two-dimensional biochemical-electric... transient models to capture its rapid collapse and slow recovery movements, providing a bridge from smart artificial synthesis materials to smart natural materials.

  • Applied Machine Learning in Chemical Process Engineering

    A Practical Approach
    • 1st Edition
    • Zafar Said + 1 more
    • English
    As machine learning capabilities and functionality increases, more industry experts and researchers are integrating applied machine learning into their research. Applied Machine Learning in Chemical Process Engineering: A Practical Approach serves as a comprehensive guide to equip the reader with the fundamental theory, practical guidance, methodologies, experimental design and troubleshooting knowledge needed to integrate machine learning into their processes. This book offers a comprehensive overview of all aspects of machine learning, from inception to integration that will allow readers from any scientific discipline to begin to examine the capabilities of machine learning. This book will then build upon this overview to offer worked examples and case studies, alongside practical methods-based guidance to walk the reader through integrating machine learning end-to-end. Finally, this book will offer critical discussion of concepts that are interwoven into the ever-evolving principles of machine learning such as ethics, safety and culpability that are crucial when working with machine learning. Applied Machine Learning in Chemical Process Engineering: A Practical Approach will be an invaluable resource for researchers, professionals in industry and academia, and students at graduate level and above who work in chemical engineering and are looking to automate, optimize or intensify their chemical processes. This book will also help professionals in other disciplines and industries looking into integrate machine learning into their work, such as though looking to scale up their processes to an industrial scale or conduct novel research.

  • MXenes for Supercapacitors

    Design, Performance and Applications
    • 1st Edition
    • Mayank Pandey + 2 more
    • English
    MXenes for Supercapacitors: Design, Performance and Applications focuses on design principles and strategies for optimizing performance that are crucial for harnessing the full potential of these materials in supercapacitors, which include detailed discussions on MXene-based electrode materials, electrolyte systems, and device configurations. The book also offers new insights into enhancing energy storage capacity, power density, and cycling stability. By bridging the gap between fundamental research and practical implementation, it will equip the reader (researchers, engineers, and industry professionals) with the knowledge and tools necessary to develop the next generation of supercapacitor technologies with MXenes at the forefront of research.The book will serve as a comprehensive guide addressing, both fundamental aspects and practical implications for this cutting-edge technology and its use in supercapacitors.

  • Algal Bioengineering and Microbial Synergy in Green Industry for Sustainable Waste Remediation

    • 1st Edition
    • Shailendra Kumar Arya + 2 more
    • English
    Algal Bioengineering and Microbial Synergy in Green Industry for Sustainable Waste Remediation investigates biotechnological solutions for environmental challenges and sustainability. The book explores the relationship between algal bioengineering and microbial processes as well as their important role in mitigating waste. Advancements in bioreactor design and waste remediation are highlighted, along with future research directions for achieving sustainable waste remediation.

  • Modern Energy Storage

    The Key to Energy System Transformation
    • 1st Edition
    • Huaiguang Jiang + 4 more
    • English
    Modern Energy Storage: The Key to Energy System Transformation is a unique reference designed to give students and researchers the most advanced information on technologies in energy storage systems.Energy storage is a complex system, often containing several energy storage techniques to complement each other. This reference covers those techniques by looking at li-ion battery-based energy storage systems and all indispensable technologies in different scenarios or real applications including Compressed Air Storage, Power to gas systems, Pumped Thermal, Liquid Air Storage, Thermochemical storage, and more.Compiled by global experts and considering latest advances related to full recyclable process, second use, pollution reduction, and low-carbon industry & economy, which will boost the real applications of the energy storage systems. By addressing the current challenges of energy storage technologies and potential solutions, this comprehensive text uses algorithms, methods, and programs as a technical-encycloped... for energy-storage-relat... areas such as Electric vehicles, Intelligent Transportation, Environment, and smart cities.Designed to inform, advise, and create discussion about the energy transition, climate, low carbon power and economy, the contributors provide abundant and valuable materials and references for the students, researchers, engineers, professors in in energy, engineering and environmental areas.

  • Well Cement Integrity

    • 1st Edition
    • Rahman Ashena + 2 more
    • English
    Well Cement Integrity offers a comprehensive examination of the critical factors influencing the long-term safety and reliability of wellbore barriers. The book synthesizes recent advances in evaluation techniques, including experimental laboratory testing, field diagnostics, and innovative data-driven methods such as AI and machine learning. It addresses the unique challenges faced in high-pressure, high-temperature, geothermal, and CCUS environments, providing practical guidance for assessing and maintaining cement integrity throughout the entire well lifecycle. The content emphasizes a holistic approach, integrating laboratory assessments, logging tools, pressure testing, and long-term monitoring strategies to enable practitioners to make informed decisions and implement effective remediation measures.The book's structure includes detailed chapters on topics such as cement bond logs, sustained casing pressure, cement plugs, and plug-and-abandonment procedures. It explores the fundamentals of experimental evaluation, discusses the causes and prevention of casing failures, and presents case studies illustrating real-world applications. Additional chapters focus on the evaluation of cement integrity in specialized scenarios like CCUS and geothermal wells, as well as cutting-edge techniques involving AI and machine learning to predict and analyze well performance. Practical procedures and industry standards are incorporated to support effective decision-making and operational excellence.

  • Materials Informatics

    Molecules, Crystals, and Beyond
    • 1st Edition
    • Krishna Rajan
    • English
    Materials Informatics: Molecules, Crystals and Beyond discusses the role of information science in aiding the discovery and interpretation of multiscale relationships that are critical for materials discovery, design, and optimization. The book covers key challenges in applying information science methods to materials science, including the multidimensional nature of structure-property relationships, data sparsity, and the nature and sources of uncertainty, along with a brief overview of the algorithmic tools used for unsupervised and supervised learning.Building on these topics, chapters then cover the development of physics/chemistry informed data representations of structure and properties, the application of machine learning for structure and property prediction and screening for targeted properties, and the utilization of techniques such a graphics recognition, natural language processing, and statistically driven visualization tools in deciphering processing-structure... relationships in materials.

  • Nanocomposites for Membranes and Environmental Remediation Applications

    • 1st Edition
    • N. M. Nurazzi + 2 more
    • English
    Nanocomposites for Membranes and Environmental Remediation Applications delves into the transformative potential of nanomaterials, shedding light on their theoretical foundations, chemistry, and practical uses. The book examines both synthetic and naturally sourced nanomaterials, detailing their processing techniques, such as modification and synthesis, and their applications in creating high-performance composites for sustainable membranes. With its comprehensive approach, the text integrates case studies that explore nanocomposite design, materials selection, and characterization, alongside their role in environmental remediation. These studies demonstrate the innovative synergy between nanotechnology and sustainability, positioning the book as an essential resource for advancing this cutting-edge field.Beyond these foundational insights, the book discusses the versatility of nanomaterial resources and their influence on product innovation. It concludes by addressing critical challenges, environmental implications, and future prospects for nanocomposites in sustainable applications. Ideal for researchers, postgraduate students, engineers, and policymakers, this book serves as a guide for pioneering sustainable practices and shaping eco-friendly technologies.

  • Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions

    • 1st Edition
    • Volume 21
    • Mrinmoy Majumder + 3 more
    • English
    Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions is a comprehensive guide that explores the role of hydroinformatics in managing peri-urban watersheds amidst challenges such as climate change and urbanization.Leverag... artificial intelligence, data science, and Internet of Things, this book presents innovative strategies for optimal management of natural resources. The book uniquely combines theory and case studies to illustrate the application of data science, AI, and other technologies in assessing vulnerabilities and developing mitigation strategies for peri-urban watersheds.Readers will find Advanced Hydroinformatics in Vulnerability Assessments and Mitigative Interventions an invaluable resource for understanding and applying hydroinformatics to address their water-related challenges.

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