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Elsevier

Applied Machine Learning in Chemical Process Engineering
A Practical Approach
1st Edition
June 1, 2026
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.
Aquatic Resource Biorefineries
Harnessing Aquatic Resources for Sustainable Production
1st Edition
June 1, 2026
Hamid Amiri + 3 more
English
Aquatic Resource Biorefinery provides the first comprehensive, multidisciplinary treatment of the utilization of aquatic biomass within the biorefinery framework. Recognizing aquatic systems as rich yet underexploited sources of renewable materials, this book integrates biological, chemical, engineering, environmental and economic perspectives to establish a coherent foundation for sustainable aquatic bioresource valorization. Structured across four interconnected sections, the book moves from conceptual fundamentals to process-specific applications and assessments. It explores a wide range of feedstocks, algae, aquatic plants, crustacean shells, wastewater, and microbial resources, and their transformation into high value bioproducts such as chitin, chitosan, carotenoids, proteins, polyhydroxyalkanoate... and biohydrogen. Subsequent chapters examine cutting-edge technologies for biomass recovery, biological conversion, and downstream refinement, culminating in techno-economic, environmental, and market analyses that illuminate the feasibility and scalability of aquatic biorefineries. Written by leading experts and enriched with case studies, industrial data, and quantitative analyses, Aquatic Resource Biorefinery bridges the gap between theory and application. It serves not only as a university textbook for students across different disciplines but also as a definitive reference for researchers, engineers, and policymakers engaged in advancing circular, blue bioeconomy strategies.
Models and Measures for Sustainable City Logistics
Behavioral Choice Processes
1st Edition
June 1, 2026
Francesco Russo + 1 more
English
Models and Measures for Sustainable City: Behavioral Choice Processes Logistics offers a thorough understanding of urban freight movements, focusing on behavioral aspects of consumers. It outlines the role of modelling the behavioral aspects of people determining urban freight movements, mapping the behavior of the end consumer and the retailer which generates freight movements in an urban context. It provides new methods of urban freight transport simulation, taking into account the challenges of sustainable development goals, and uses the most recent approaches in modelling for city logistics scenario design and planning. It also outlines the relationships between measures and main components (expressed by indicators) of sustainable development.This book guides readers in implementing the most effective city logistics measures and actions, addressing the choice of a set of measures and the definition of planning scenarios. Readers are introduced to simulation methods for estimating impacts and system performance, which can be used for comparing the future scenario outcomes according to the set of target indicators defined by Agenda 2030. The book first specifies end consumer behaviors in purchasing processes, analyzing the individual phases of the purchase. The retailer’s behaviors are then specified, and after specifying the patterns of the decision makers, the quantities of goods that constitute the references for the choices of the decision makers are analyzed. Finally, the book presents the problems whose solution makes it possible to identify the vehicles of the various types and then the flows on the network. The overall structure of the model system and the specification of each single model are then given. Some models calibrated in different real cases are presented, highlighting their applicability to other contexts. Finally, implementable measures are presented and the relationships between measures and main components (expressed by indicators) of sustainable development are examined.Transport technicians, post-graduate students, and academics alike will find this a valuable resource for understanding how to incorporate user behavior into transport planning and logistics modeling, ultimately helping them to optimize processes and promote sustainability.
Digital Supply Chain Transformation
Implementing Technology, Analytics, and Data-Driven Solutions
1st Edition
June 1, 2026
Vinaytosh Mishra
English
Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility are explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management. Readers will learn how comprehend core principles and elements of supply chain management and its pivotal role in businesses and industries, recognize the significance of digital transformation in supply chains, understand the tools, technologies, and strategies essential for a successful transformation, evaluate the importance of end-to-end supply chain visibility, employ methods and technologies to enhance this visibility in practical scenarios, and apply system dynamics modeling techniques to address complex supply chain problems to optimize supply chain processes, and much more.
Supercritical Fluid Technology in Industry
Recent Advances and Challenges (2014-2024)
1st Edition
June 1, 2026
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 more a sustainable research approach. This books outlines supercritical fluid technology and processes operated with substances at conditions above or near the critical point and enables the reader to understand the basic steps of equipment and processing, explains the different methods of using supercritical technology and applications, current developments that increase economic feasibility and reduce environmental impact. Supercritical Fluid Technology in Industry 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; this includes industry experts, researchers, academics, students at graduate level and above. This book will also be of value to researchers working with supercritical fluid in other industries, such as the food, pharmaceutical, mineral, electronics, engineering and energy fields.
Advanced Energy Management
Digitalization and AI for the Internet of Energy
1st Edition
June 1, 2026
Yuekuan Zhou
English
Advanced Energy Management: Digitalization and AI for the Internet of Energy explores recent advancements in distributed renewable systems, advanced controls, and energy management of nonlinear energy behaviors. The book addresses energy resilience amid extreme climates and events, presenting new applications for energy-efficient, low-carbon, and reliable cities. It details the role of AI in renewable energy systems, including power dispatch, fast response, dynamic aging, and techno-economic performance. This introduction provides a comprehensive overview of AI applications in renewable energy systems. The book delves into the interconnection between climate change and multi-energy systems, big data's role in sustainable energy supply, and much more.It also covers demand-side management, grid-response controls in Integrated Energy Management Systems (IEMSs), and Energy Management Systems (EMSs) in integrated energy systems and power grids with AI. Additionally, the book reviews peer-to-peer and blockchain-based energy sharing, dynamic pricing, decision-making in distributed energy markets, city-scale energy resilience, and robustness with distributed energy systems. Ethical, regulatory, and policy considerations of AI in energy management and detailed Sustainability and Environmental Impact Analyses are discussed.
Artificial Intelligence in Safety Science and Engineering
1st Edition
June 1, 2026
Xinyan Huang + 2 more
English
Artificial Intelligence in Safety Science and Engineering serves as a comprehensive guide to the latest Artificial Intelligence (AI) research and the ways in which it can be applied to multiple crucial topics in process engineering. This book couples a strong theoretical overview and real-world case studies and methodology details, to help with experimental design and troubleshooting when implementing smart technologies and AI. The book covers the latest applications of smart technologies and AI as they can be applied to many prominent topics in the fields of process safety, such as the fundamental of AI technologies, the advanced methods of machine learning, the application to process accidental modeling and analysis, the application to process risk assessment, the application to process fault diagnosis and prognosis, the application to predictive maintenance, the application to process emergency response optimization, the application to simulation and training and the application to process incident prediction and prevention.Artificia... Intelligence in Safety Science and Engineering will be a valuable resource for academics, students and researchers working in the process safety domain, particularly those working with chemical processes at the industrial level. This book will also be a useful guide for government policy makers and decision makers in industry focusing on process safety regulation, standards, legislation and risk management.
Emerging Diagnostic Glucose Sensing Approaches
Diabetes
1st Edition
June 1, 2026
Abhishek Kandwal + 2 more
English
Emerging Diagnostic Glucose Sensing Approaches surveys past and recent work on non-invasive blood glucose monitoring. The book highlights two complementary paths: electromagnetic-wave... sensing, using physical models and advanced sensors to measure glucose non-invasively; and physiological techniques (ECG/EEG) integrated with artificial intelligence and deep learning to infer glucose levels. It discusses how physical models, biomedical methodologies, and engineering prototyping enable accurate analysis and device development. With a focus on breakthroughs in electromagnetic sensors and non-invasive research, this volume serves as a foundational reference for biomedical researchers and engineers pursuing next-generation glucose monitoring.
Environmental Applications of Covalent Organic Frameworks
1st Edition
June 1, 2026
Mustafa Soylak + 1 more
English
Environmental Applications of Covalent Organic Frameworks offers an in-depth exploration of covalent organic frameworks (COFs), a class of porous polymers known for their structural versatility and robustness. This book delves into the cutting-edge research on COFs and their potential to reduce the environmental impact of chemical processes through green chemistry principles. With a focus on synthesis, functionalization, and practical application, the book presents COFs as transformative materials for pollution absorption, gas storage, and water purification, addressing the critical need for specialized resources that bridge fundamental research and real-world environmental solutions.The text also covers the unique attributes of COFs, including their ability to be tailored to specific environmental challenges through molecular design. It emphasizes the importance of COFs in sustainable development and their role in advancing cleaner and more efficient chemical processes. With insights from leading experts, Environmental Applications of Covalent Organic Frameworks is a crucial resource for researchers, chemists, and environmental scientists aiming to innovate and achieve sustainable progress.
Green Revolution
Non-Traditional Approaches to Waste Management and Resource Utilization
1st Edition
June 1, 2026
Marcello Locatelli + 2 more
English
Green Revolution: Non-Traditional Approaches to Waste Management and Resource Utilization offers strategies for waste management through detailed discussions on innovative methods and diverse applications of waste-derived materials. By promoting recycling and innovative resource utilization, this book will empower readers to contribute to a sustainable and circular economy. It delves into the environmental importance of converting waste, while also highlighting various materials like carbon quantum dots, carbon nanotubes, and metal organic frameworks.

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