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Elsevier

Books in Process design simulation control

  • Design and Simulation of Conventional and Complex Distillation Systems

    • 1st Edition
    • Arturo Jiménez-Gutiérrez + 2 more
    • English
    Design and Simulation of Conventional and Complex Distillation Systems serves as a comprehensive guide to the design of conventional and complex distillation processes with a unique combination of conceptual design methods, validations via rigorous simulations, including visual descriptions and videos of the simulation tasks. This book provides a comprehensive overview of both conventional and complex distillation systems for the separation of multicomponent mixtures. It covers the fundamental principles, design methodologies, and simulation techniques required to effectively analyze and optimize these systems. This book combines conceptual design methods for different types of distillation systems with the validation steps that follow by using rigorous simulations, as well as the inclusion of detailed explanations and illustrative examples throughout to explain all concepts explored in each chapter. This book will be an invaluable guide chemical engineering students, researchers, and professionals who seek to deepen their understanding of distillation processes and enhance their knowledge to design and simulate efficient and modern distillation systems.

  • Process Intensification for Carbon Capture and Utilization

    • 1st Edition
    • Suttichai Assabumrungrat + 2 more
    • English
    Process Intensification for Carbon Capture and Utilization provides a comprehensive review of carbon dioxide capture and utilization (CCU) technologies from a process engineering approach, focusing on the concept of process intensification to enhance sustainability and efficient chemical process and process design. This book begins with a brief theoretical overview of CCU process design, then builds up to chapters on practical guidance – offering case studies and real-world applications of process intensification for achieving environmental sustainability goals, reduction of carbon emissions, and creation of value-added products from captured CO2. The book will also highlight the advancement in development of methodologies and tools of Process Systems Engineering (PSE) for the design of CCU processes, including process design outlines and worked examples. The book is suitable for a wide audience in academia and industry interested in CCU technologies. It is valuable for students, research scientists, engineers, and practitioners seeking an overview or in-depth knowledge on CCU. Additionally, the book's content can be used as teaching resources for advanced courses.

  • Intensification and Sustainability in Chemical Engineering

    • 1st Edition
    • Cíntia Soares + 2 more
    • English
    Intensification and Sustainability in Chemical Engineering serves as a comprehensive guide to chemical process engineering, and how to make processes as sustainable as possible. Across four sections, this book covers topics such as sustainability metrics, energy efficiency, renewable energy integration, green synthesis, process intensification, circular economy, electrification, biotechnology, digitalization, and nanotechnology - all of which crucial concepts in developing sustainable chemical processes as they address challenges, drive sustainability, and promote innovation within the field of chemical engineering. This book serves as an invaluable resource to students at postgraduate and late undergraduate level within chemical engineering, as well as other engineering disciplines involving sustainable chemical processes. This book would also be a useful reference for students, industrial researchers and process designers working in other industries, or decision/ policy makers looking to make their research design and practices more sustainable and reduce their environmental impact.

  • Digital Twins in Manufacturing

    Applications and Case Studies
    • 1st Edition
    • Masoud Soroush + 1 more
    • English
    Digital Twins in Manufacturing: Applications and Case Studies explores digital twin technologies, demonstrating how digital twins enhance manufacturing processes, optimize efficiency, and facilitate informed decision-making. By bridging the gap between theoretical knowledge and practical implementation, the book equips professionals with the tools needed to leverage digital twins for improved product quality and operational effectiveness. It covers a wide array of topics, including digital twins for biomanufacturing, polymerization processes, additive manufacturing, and energy industries. Readers will find detailed discussions on predictive maintenance, process optimization, and the integration of AI and IoT strategies.Each chapter presents actionable insights and step-by-step implementation guides, addressing real-world challenges and showcasing successful applications in smart factories and high-risk environments. By bridging the gap between theoretical knowledge and practical implementation, the book equips professionals with the tools needed to leverage digital twins for improved product quality and operational effectiveness.

  • Integrating AI-enabled Computing Strategies into Sustainable Development

    • 1st Edition
    • Ritu Chauhan + 3 more
    • English
    Integrating AI-enabled Computing Strategies into Sustainable Development reveals how artificial intelligence is reshaping the future of sustainable development. The book brings together multidisciplinary insights from AI, environmental science, and social policy, demonstrating how machine learning, predictive analytics, and natural language processing can optimize resource allocation, boost efficiency, and enable adaptive solutions for today’s most pressing global challenges. Inside, discover pioneering applications of AI across ten vital areas, including predictive maintenance for real-time environmental monitoring, AI-optimized energy allocation, smart grids for sustainable communities, precision agriculture, resilient urban planning, long-term climate resilience strategies, circular economy optimization, equitable policy design through NLP, risk assessment in supply chains, and navigating the ethical complexities of AI systems. Integrating AI-enabled Computing Strategies into Sustainable Development is a must-read for researchers, policymakers, engineers, sustainability professionals, environmental scientists, technology strategists, and students seeking actionable guidance and case studies for deploying AI-driven solutions responsibly and effectively in their fields.

  • Digital Twins in Manufacturing

    Concepts and Methods
    • 1st Edition
    • Masoud Soroush + 1 more
    • English
    Digital Twins in Manufacturing: Concepts and Methods explores digital twin technologies, providing innovative perspectives and practical insights that transcend traditional coverage. The book addresses the complexities of understanding and applying digital twin concepts in manufacturing environments where professionals often struggle to bridge the gap between physical and virtual systems. Sections cover critical areas such as the systems components of digital twins, foundational definitions, modeling and simulation techniques, data integration, and the role of AI and machine learning. Readers will also gain insights into communication technologies, interoperability, security considerations, and the development lifecycle of digital twins.Each chapter is designed to equip professionals with the knowledge needed to effectively replicate and monitor real-world assets, ultimately enhancing operational efficiency and driving innovation. This is an invaluable asset for engineers, data scientists, IT professionals, and researchers in manufacturing and industrial engineering.

  • Introduction to Process Systems Engineering

    Basic Principles and Calculations with MATLAB and Python
    • 1st Edition
    • Ioannis K. Kookos
    • English
    Introduction to Process Systems Engineering: Basic Principles and Calculations with MATLAB and Python comprehensively approaches how to master core chemical engineering concepts through computational methods. The book bridges the gap between theory and practice by integrating numerical computations from the outset, enabling students and professionals to develop practical skills alongside foundational knowledge. Covering essential topics such as mass and energy balances, property calculations, vapor-liquid equilibria, and process optimization, the book emphasizes realistic problem-solving using accessible MATLAB and Python programs. Each chapter features real-world examples, progressively increasing in complexity to build confidence and competence.The material is tailored to current chemical engineering practice, making it an invaluable resource for students, researchers, and industry practitioners seeking to enhance their computational and analytical capabilities in process systems engineering. This book empowers readers to learn by doing, fostering a deeper understanding of both theoretical principles and their practical applications.

  • 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.

  • Supercritical Fluid Technology in Industry

    Recent Advances and Challenges (2014-2024)
    • 1st Edition
    • Ádina L. Santana
    • English
    Supercritical Fluid Technology in Industry: Recent Advances and Challenges (2014-2024) offers new insights into the theoretical and industrial applications of multiple processes included in supercritical technology, combining a review of the established literature with recent advances in theory, current applications, and case studies to help promote a more sustainable research approach. The book outlines supercritical fluid technology and processes operated with substances at conditions above or near the critical point and enables readers to understand the basic steps of equipment and processing.Other sections explain the different methods of using supercritical technology and applications and cover current developments that increase economic feasibility and reduce environmental impact. This will be a great guide for anyone looking to supercritical technology as a means of optimizing existing processes or designing new processes with sustainability in mind, including industry experts, researchers, academics, and students at graduate level and above.

  • Mechanical and Chemical Engineering in the Age of Artificial Intelligence

    • 1st Edition
    • Hossein Pourrahmani
    • English
    Mechanical and Chemical Engineering in the Age of Artificial Intelligence is a comprehensive guide on the integration of artificial intelligence (AI) technologies. The book addresses the critical need to adapt to data-driven approaches, moving beyond traditional deterministic methods. Covering a wide array of topics, from generative design and predictive maintenance to smart manufacturing and sustainability initiatives, this book equips students, academics, and industry professionals with the essential knowledge to thrive in an AI-driven landscape. Delving into specifics, the book begins with an introduction to AI's role in Industry 4.0 and progresses through practical applications in robotics, energy systems, and process optimization.It then explores the revolutionary impact of AI on drug discovery, green engineering, and the circular economy, while also addressing the challenges of adopting these technologies. Each chapter is designed to provide actionable insights, ensuring readers can implement AI solutions to real-world engineering challenges effectively.