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Elsevier

  • Green Hydrogen and Fuel Cell Technology

    Powering a Sustainable Future
    • 1st book:metaData.edition
    • Amol V. Sonawane contributors.plusContributors
    • publicationLanguages:en
    Green Hydrogen and Fuel Cell Technology: Powering a Sustainable Future provides a comprehensive overview of sustainable energy systems, covering the fundamental science, engineering, policy, and economic aspects. The book explores hydrogen properties, various production methods—including water electrolysis, biomass gasification, and photobiological techniques—and highlights advanced electrolyzer technologies such as AEM and SOECs. The publication also delves into catalyst innovations for solar-to-hydrogen conversion and examines multiple storage options like solid-state, liquid organic carriers, ammonia, and cryogenic systems. It emphasizes infrastructure development, with a focus on hydrogen hubs, pipelines, and port facilities, particularly in the context of India's initiatives.Sections analyze different fuel cell types and their operational principles, design considerations, and emerging materials like self-healing components. Applications extend beyond transportation to backup power, marine, aviation, and distributed generation. Recent innovations and future trends are highlighted, including next-generation electrolyzers, modular systems, integrated infrastructure, and advanced storage solutions, supported by case studies and environmental assessments.
  • Modelling, Estimation and AI Applications for Lithium-Ion Battery Management Systems

    • 1st book:metaData.edition
    • Shunli Wang contributors.plusContributors
    • publicationLanguages:en
    Modelling, Estimation and AI Applications for Lithium-Ion Battery Management Systems is a comprehensive guide to the latest advancements in integrating artificial intelligence with lithium-ion battery technology. The book offers an in-depth exploration of fundamental principles, advanced modeling techniques, and state estimation strategies that are vital for enhancing battery performance, safety, and longevity. The book presents systematic coverage of battery operation, performance testing methods, and application scenarios, providing a solid foundation for understanding current challenges and innovations. Sections delve into core AI algorithms, including machine learning, deep learning, and hybrid approaches, illustrating how they revolutionize battery modeling and health monitoring.Key topics include hybrid modeling methods that combine equivalent circuit models, electrochemical theories, and AI techniques; precise estimation of State of Charge (SOC), State of Health (SOH), and State of Power (SOP); and strategies for joint state estimation to facilitate comprehensive battery management. Practical insights are reinforced with detailed discussions on experimental platform design, validation procedures, and data visualization techniques, bridging theory and real-world engineering.
  • Technical and Ethical Optimization: Challenges and Opportunities for the Modern Engineer and Scientist

    • 1st book:metaData.edition
    • Daniel A. Vallero
    • publicationLanguages:en
    Technical and Ethical Optimization: Challenges and Opportunities for the Modern Engineer and Scientist offers a comprehensive yet accessible exploration of the scientific foundations, moral hazards and considerations, and societal implications of existing and emerging technologies. The book addresses key issues such as innovation, responsibility, justice, and sustainability, providing credible references and real-world case studies to illuminate complex debates. Chapters cover topics like discovery through design, ethical frameworks, the roles of science and biomedical ethics, environmental concerns, human enhancement, risk assessment, and technological justice.The book also discusses sustainability, resilience, and the knowledge needed to navigate technological progress responsibly. Each chapter critically examines the scientific, engineering, and moral underpinnings, fostering a nuanced understanding of the challenges and opportunities posed by modern innovations. This is an essential resource for researchers, educators, policymakers, industry professionals, and students across engineering, science, medicine, environmental studies, security, and philosophy.
  • Microplastics in Aquatic Systems

    Detection, Impact, and Remediation
    • 1st book:metaData.edition
    • Pasquale Avino contributors.plusContributors
    • publicationLanguages:en
    Microplastics in Aquatic Systems: Detection, Impact, and Remediation provides a multidisciplinary perspective on the latest advancements in microplastic research, with a particular focus on technological innovations and their applications in aquatic environments. The book explores novel approaches that integrate AI and sensor technologies to enable faster and more efficient microplastic detection, both qualitatively and quantitatively. Designed for students, researchers, policymakers, and environmental professionals, each chapter includes a Materials and Methods section that clearly describes the research methodology and information collection processes, whether for experimental studies, theoretical approaches, or practical applications.All chapters feature a Discussion section to highlight research innovations, and insights while offering different perspectives on the topic. Additionally, a dedicated section on Future Perspectives and Innovation explores potential developments and emerging research directions. By bridging scientific research, technological innovation, and socio-economic considerations, this book aims to provide valuable insights for those working towards sustainable solutions to microplastic pollution in aquatic systems.
  • Water Pollution and Water Quality: Technologies and Processes

    • 1st book:metaData.edition
    • Didem Saloglu contributors.plusContributors
    • publicationLanguages:en
    Water Pollution and Water Quality: Technologies and Processes offers a comprehensive and accessible overview of water pollution and water quality. The book covers a wide range of topics, including the sources, effects, and impacts of water pollution, water chemistry, microorganisms in water, guidelines and standards for water quality and health, objectives and methods of wastewater treatment, and advanced wastewater treatment processes. It also explores the impacts of water pollution on human health, natural ecosystems, and biodiversity, as well as policymaking to control water pollution, water footprint, and future scenarios for water pollution.Sections also highlight innovative approaches, new technologies, and solution strategies in addressing water pollution and water quality issues, and discusses the global problems and new developments in recent years. Readers will find basic information on water pollution and water quality, making it suitable for graduate and post-graduate students, researchers, and professionals in in chemical engineering, environmental engineering, chemistry, industrial engineering, and disaster science and engineering.
  • Optimizing Markets for Energy Stability

    • 1st book:metaData.edition
    • Muhammad Shahbaz contributors.plusContributors
    • publicationLanguages:en
    Optimizing Markets for Energy Stability collates the latest cutting-edge econometric technologies for energy markets built to support global energy transition. This book takes an integrated, international approach, dedicating chapters to flexible frameworks for both policy and market design across a range of countries. Utilization of the accelerating technological developments across renewable energy sources, distributed resource penetration, energy storage, and peer-to-peer platforms is broken down clearly. Market strategies for supporting global energy stability are provided and placed in context, from demand response and risk mitigation to techno-economic modelling and optimization. Featuring a range of contributors with a truly global geographical perspective, Optimizing Markets for Energy Stability is an indispensable modern reference for any academic, student, or researcher investigating the energy markets of the future.
  • Mechanical Anisotropy of Tropical Residual Soil

    • 1st book:metaData.edition
    • Xinyu Liu contributors.plusContributors
    • publicationLanguages:en
    Mechanical Anisotropy of Tropical Residual Soil provides an in-depth exploration of the directional dependence of mechanical properties in tropical residual soils, a critical factor influencing geotechnical behavior and engineering applications in tropical regions. The book begins by outlining the fundamental geotechnical properties unique to tropical residual soils, setting the stage for a focused investigation into their mechanical anisotropy. It presents a comprehensive experimental framework designed to analyze anisotropic behavior, emphasizing both shear strength and stiffness variations with direction. Sections explore the soil’s response to principal stress rotation, highlighting how stress orientation affects soil performance and structural stability.The book further examines the origins of mechanical anisotropy, discussing the microstructural and geological factors that contribute to this phenomenon. Throughout, the book integrates experimental findings with theoretical insights to provide a holistic understanding of anisotropic characteristics. Concluding with a summary and future outlook, the work identifies gaps in current knowledge and suggests directions for further research, aiming to improve predictive models and practical design approaches for tropical residual soils.
  • Technological Inclusion and Climate Innovation

    Comparative Pathways for Just and Equitable Transitions Across Global Societies
    • 1st book:metaData.edition
    • Samuel Chukwujindu Nwokolo contributors.plusContributors
    • publicationLanguages:en
    Technological Inclusion and Climate Innovation: Comparative Pathways for Just and Equitable Transitions Across Global Societies offers a groundbreaking, equity-focused roadmap that redefines climate innovation by integrating sociotechnical inclusion, institutional foresight, and comparative global metrics. Sections cover global disparities in climate exposure and technological capacity, social equity, governance, cultural interfaces, national strategies, geopolitics, smart cities, circular economies, digital climate governance, innovation ecosystems, climate education, and future scenarios. Novel indices such as the Inclusion-Readiness Nexus (IRN), Innovation Gradient Index (IGI), and Synergistic Transition Potential (STP) are introduced to assess and compare climate-tech inclusion.The work also presents strategic foresight models and policy roadmaps for equitable climate technology deployment aligned with Sustainable Development Goals. It is invaluable to interdisciplinary scholars, policymakers, strategists, and practitioners engaged in sustainability, technology, governance, and equity. It benefits environmental scientists, political scientists, urban planners, STS scholars, digital sociologists, global governance experts, climate policy researchers, innovation economists, and professionals in public-private partnerships, climate-tech startups, and multilateral organizations.
  • Spacecraft Electromagnetic Docking and Separation

    • 1st book:metaData.edition
    • Keke Shi contributors.plusContributors
    • publicationLanguages:en
    Spacecraft Electromagnetic Docking and Separation in Elliptical Orbits solves problems for spacecraft electromagnetic docking and separation control system using different control methods: instead of the widely used proportional–integra... controller or PID control. The book focuses on presenting a variety of control strategies tailored for spacecraft electromagnetic docking and separation, accompanied by stability proofs that integrate Lyapunov stability theory with sliding mode theory, LMIs-based theorems, model predictive control theories, reinforcement study theories and other frameworks, so the reader can understand how to handle different kinds of disturbances and perturbations in actual orbiting spacecraft. The book also provides a review of magnetic field, magnetic field force model (both the near-field model and the far-field model), useful lemmas and dynamic modelling methods of spacecraft relative motion, which can serve as first stage analysis for further research and are especially important in the initial design phase of a spacecraft electromagnetic docking and separation control system
  • Machine Learning Made Visual with Python

    • 1st book:metaData.edition
    • Weisheng Jiang
    • publicationLanguages:en
    Machine Learning Made Visual with Python makes machine learning intuitive through Python coding and dynamic visualizations. The book helps readers grasp complex math concepts by showing how algorithms evolve step-by-step. Readers will learn how to develop a hands-on, visual, and practical path to mastering core machine learning algorithms. Importantly, the book includes practical examples and coding exercises.