Fan Shi – författare

Reactor Process Design in Sustainable Energy Technology compiles and explains current developments in reactor and process design in sustainable energy technologies, including optimization and scale-up methodologies and numerical methods. Sustainable energy technologies that require more efficient means of converting and utilizing energy can help provide for burgeoning global energy demand while reducing anthropogenic carbon dioxide emissions associated with energy production.The book, contributed by an international team of academic and industry experts in the field, brings numerous reactor design cases to readers based on their valuable experience from lab R&D scale to industry levels. It is the first to emphasize reactor engineering in sustainable energy technology discussing design. It provides comprehensive tools and information to help engineers and energy professionals learn, design, and specify chemical reactors and processes confidently.- Emphasis on reactor engineering in sustainable energy technology- Up-to-date overview of the latest reaction engineering techniques in sustainable energy topics- Expert accounts of reactor types, processing, and optimization- Figures and tables designed to comprehensively present concepts and proceduresHundreds of citations drawing on many most recent and previously published works on the subject

Materials for Carbon Dioxide Mitigation Technology offers expert insight and experience from recognized authorities in advanced material development in carbon mitigation technology and constitutes a comprehensive guide to the selection and design of a wide range of solvent/sorbent/catalyst used by scientists globally. It appeals to chemical scientists, material scientists and engineers, energy researchers, and environmental scientists from academia, industry, and government in their research directed toward greener, more efficient carbon mitigation processes.

Emphasizes material development for carbon mitigation technologies rather than regulations Provides a fundamental understanding of the underpinning science as well as technological approaches to implement carbon capture, utilization and storage technologies Introduces the driving force behind novel materials, their performance and applications for carbon dioxide mitigation Contains figures, tables and an abundance of examples clearly explaining the development, characterization and evaluation of novel carbon mitigation materials Includes hundreds of citations drawing on the most recent published works on the subject Provides a wealth of real-world examples, illustrating how to bridge nano-scale materials to bulk carbon mitigation properties

Materials for Carbon Dioxide Mitigation Technology offers expert insight and experience from recognized authorities in advanced material development in carbon mitigation technology and constitutes a comprehensive guide to the selection and design of a wide range of solvent/sorbent/catalyst used by scientists globally. It appeals to chemical scientists, material scientists and engineers, energy researchers, and environmental scientists from academia, industry, and government in their research directed toward greener, more efficient carbon mitigation processes.- Emphasizes material development for carbon mitigation technologies rather than regulations- Provides a fundamental understanding of the underpinning science as well as technological approaches to implement carbon capture, utilization and storage technologies- Introduces the driving force behind novel materials, their performance and applications for carbon dioxide mitigation- Contains figures, tables and an abundance of examples clearly explaining the development, characterization and evaluation of novel carbon mitigation materials- Includes hundreds of citations drawing on the most recent published works on the subject- Provides a wealth of real-world examples, illustrating how to bridge nano-scale materials to bulk carbon mitigation properties

Reactor Process Design in Sustainable Energy Technology compiles and explains current developments in reactor and process design in sustainable energy technologies, including optimization and scale-up methodologies and numerical methods. Sustainable energy technologies that require more efficient means of converting and utilizing energy can help provide for burgeoning global energy demand while reducing anthropogenic carbon dioxide emissions associated with energy production.

The book, contributed by an international team of academic and industry experts in the field, brings numerous reactor design cases to readers based on their valuable experience from lab R&D scale to industry levels. It is the first to emphasize reactor engineering in sustainable energy technology discussing design. It provides comprehensive tools and information to help engineers and energy professionals learn, design, and specify chemical reactors and processes confidently.

Emphasis on reactor engineering in sustainable energy technology Up-to-date overview of the latest reaction engineering techniques in sustainable energy topics Expert accounts of reactor types, processing, and optimization Figures and tables designed to comprehensively present concepts and proceduresHundreds of citations drawing on many most recent and previously published works on the subject

Industrial Decarbonization: Materials, Methods, and Developments offers a timely and in-depth exploration of the technologies and strategies reshaping high-emission industries in the global push toward carbon neutrality. As sectors such as chemicals, steel, cement, concrete, asphalt, and construction face mounting pressure to reduce their environmental impact, this book provides a comprehensive, multidisciplinary perspective on the innovations driving industrial transformation.Drawing from cutting-edge research and real-world implementation across academia, national labs, and industry, the book highlights both the challenges and scalable solutions in industrial decarbonization. Key features include:• Innovative Technologies: Investigates emerging thermo-, electro-, and photocatalytic processes, microwave-assisted techniques, and energy-efficient manufacturing systems aimed at reducing industrial emissions.• Analytical Frameworks: Introduces life cycle assessment (LCA) and techno-economic analysis (TEA) tools to assess the viability and environmental impact of new decarbonization approaches.• Carbon Management: Explores advanced materials and integrated system designs for carbon capture, utilization, and storage (CCUS), including novel separation and process integration technologies.• Sector-Specific Solutions: Showcases targeted innovations in cement, concrete, steel, and chemical production, alongside cross-cutting strategies such as circular economy models and thermal energy storage.• Digital Tools: Discusses the role of computational modeling and data-driven methods in optimizing decarbonization pathways.With a rich collection of case studies and practical examples, this book is an essential resource for researchers, engineers, and policymakers working at the intersection of materials science, industrial engineering, and sustainable development.

Industrial Decarbonization: Materials, Methods, and Developments offers a timely and in-depth exploration of the technologies and strategies reshaping high-emission industries in the global push toward carbon neutrality. As sectors such as chemicals, steel, cement, concrete, asphalt, and construction face mounting pressure to reduce their environmental impact, this book provides a comprehensive, multidisciplinary perspective on the innovations driving industrial transformation.Drawing from cutting-edge research and real-world implementation across academia, national labs, and industry, the book highlights both the challenges and scalable solutions in industrial decarbonization. Key features include:* Innovative Technologies: Investigates emerging thermo-, electro-, and photocatalytic processes, microwave-assisted techniques, and energy-efficient manufacturing systems aimed at reducing industrial emissions.* Analytical Frameworks: Introduces life cycle assessment (LCA) and techno-economic analysis (TEA) tools to assess the viability and environmental impact of new decarbonization approaches.* Carbon Management: Explores advanced materials and integrated system designs for carbon capture, utilization, and storage (CCUS), including novel separation and process integration technologies.* Sector-Specific Solutions: Showcases targeted innovations in cement, concrete, steel, and chemical production, alongside cross-cutting strategies such as circular economy models and thermal energy storage.* Digital Tools: Discusses the role of computational modeling and data-driven methods in optimizing decarbonization pathways.With a rich collection of case studies and practical examples, this book is an essential resource for researchers, engineers, and policymakers working at the intersection of materials science, industrial engineering, and sustainable development.

Industrial Decarbonization: Materials, Methods, and Developments offers a timely and in-depth exploration of the technologies and strategies reshaping high-emission industries in the global push toward carbon neutrality. As sectors such as chemicals, steel, cement, concrete, asphalt, and construction face mounting pressure to reduce their environmental impact, this book provides a comprehensive, multidisciplinary perspective on the innovations driving industrial transformation.Drawing from cutting-edge research and real-world implementation across academia, national labs, and industry, the book highlights both the challenges and scalable solutions in industrial decarbonization. Key features include:* Innovative Technologies: Investigates emerging thermo-, electro-, and photocatalytic processes, microwave-assisted techniques, and energy-efficient manufacturing systems aimed at reducing industrial emissions.* Analytical Frameworks: Introduces life cycle assessment (LCA) and techno-economic analysis (TEA) tools to assess the viability and environmental impact of new decarbonization approaches.* Carbon Management: Explores advanced materials and integrated system designs for carbon capture, utilization, and storage (CCUS), including novel separation and process integration technologies.* Sector-Specific Solutions: Showcases targeted innovations in cement, concrete, steel, and chemical production, alongside cross-cutting strategies such as circular economy models and thermal energy storage.* Digital Tools: Discusses the role of computational modeling and data-driven methods in optimizing decarbonization pathways.With a rich collection of case studies and practical examples, this book is an essential resource for researchers, engineers, and policymakers working at the intersection of materials science, industrial engineering, and sustainable development.

This book focuses on a comprehensive investigation into data-driven Sea State Estimation (SSE) by leveraging a vessel’s own motion data. It presents a collection of advanced deep learning frameworks designed to overcome critical, real-world challenges inherent in this approach. This book systematically introduces key issues including: the class imbalance of sea state data, where rare but hazardous conditions are difficult to predict; the need for model transferability between different ships and loading conditions; and the crucial demand for security and robustness against adversarial data attacks. To solve these problems, the book introduces a suite of innovative architectures employing techniques such as densely connected convolutional networks, prototype-based classifiers, multi-scale feature learning, adversarial transfer learning, and dynamic graph networks. The efficacy of these models is rigorously validated on both public benchmarks and specialized ship motion datasets, demonstrating superior performance over existing state-of-the-art methods and providing a robust toolkit for enhancing maritime safety and efficiency.

This book focuses on a comprehensive investigation into data-driven Sea State Estimation (SSE) by leveraging a vessel’s own motion data. It presents a collection of advanced deep learning frameworks designed to overcome critical, real-world challenges inherent in this approach. This book systematically introduces key issues including: the class imbalance of sea state data, where rare but hazardous conditions are difficult to predict; the need for model transferability between different ships and loading conditions; and the crucial demand for security and robustness against adversarial data attacks. To solve these problems, the book introduces a suite of innovative architectures employing techniques such as densely connected convolutional networks, prototype-based classifiers, multi-scale feature learning, adversarial transfer learning, and dynamic graph networks. The efficacy of these models is rigorously validated on both public benchmarks and specialized ship motion datasets, demonstrating superior performance over existing state-of-the-art methods and providing a robust toolkit for enhancing maritime safety and efficiency.

This book thoroughly explores the realm of data-driven blade-icing detection for wind turbines, focusing on multivariate time series classification to enhance the reliability and efficiency of wind energy utilization. The widespread prevalence of sensor technology in wind turbines, coupled with substantial data collection, has paved the way for advanced data-driven methodologies, which do not require extensive domain knowledge or additional mechanical tools. The interdisciplinary appeal of this study has drawn attention from experts in fields like computer science, mechanical engineering, and renewable energy systems. Adopting a comprehensive approach, the book lays down a foundational framework for blade-icing detection, stressing the critical role of sensor data integration and the profound impact of machine learning techniques in refining the detection processes. The book is designed for undergraduate and graduate students keen on renewable energy technologies, researchers delving into machine learning applications in energy systems, and engineers focusing on sustainable solutions for enhancing wind turbine performance.

This book thoroughly explores the realm of data-driven blade-icing detection for wind turbines, focusing on multivariate time series classification to enhance the reliability and efficiency of wind energy utilization. The widespread prevalence of sensor technology in wind turbines, coupled with substantial data collection, has paved the way for advanced data-driven methodologies, which do not require extensive domain knowledge or additional mechanical tools. The interdisciplinary appeal of this study has drawn attention from experts in fields like computer science, mechanical engineering, and renewable energy systems. Adopting a comprehensive approach, the book lays down a foundational framework for blade-icing detection, stressing the critical role of sensor data integration and the profound impact of machine learning techniques in refining the detection processes. The book is designed for undergraduate and graduate students keen on renewable energy technologies, researchers delving into machine learning applications in energy systems, and engineers focusing on sustainable solutions for enhancing wind turbine performance.