Adewale Giwa – författare

Electrochemical Membrane Technology includes a comprehensive discussion of timely topics surrounding electrochemical membrane technologies, including SWOT analysis of each electrochemical membrane technology, along with a discussion on energy production. The book covers both theoretical and experimental studies on electrochemical membrane technologies and applications, making it ideal for chemical and environmental engineers, professors and other university teachers, research scientists, graduate students, water treatment managers, research institutions, and R&D departments of industries involved in sustainable water treatment and coproduction of valuable products from water treatment technologies.

Provides comparative analysis of energy production from electrochemical membrane technologies and a comprehensive analysis of the recent advances in these technologiesDiscusses the strengths, weaknesses, opportunities, and threats/challenges (SWOT) of each electrochemical membrane technologyAddresses the importance energy co-production

Electrochemical Membrane Technology will have a strong impact on electrochemical and membrane separation research in the future and will contribute significantly to academic training and the well-being of human society. This book will include a comprehensive discussion of SWOT analysis of each electrochemical membrane technology, and the discussion of energy production from electrochemical membrane technologies in a separate chapter. This will be based theoretical and experimental studies on electrochemical membrane technologies and applications.Written for chemical and environmental engineers, professors and other university teachers, research scientists, graduate students, water treatment managers, research institutions, and Research and Development departments of industries involved in sustainable water treatment and coproduction of valuable products from water treatment technologies.- Provides comparative analysis of energy production from electrochemical membrane technologies and a comprehensive analysis of the recent advances in these technologies- Discusses the strengths, weaknesses, opportunities, and threats/challenges (SWOT) of each electrochemical membrane technology- Addresses the importance energy co-production

Data-Driven Machine Learning Applications in Thermochemical Conversion Processes delves into the prospect of machine learning applications to optimize and enhance advanced thermochemical conversion processes, which are essential for converting biomass into energy and other valuable products. This book covers ML applications in higher heating value (HHV) predictions, catalyst screening, prediction of biofuels properties, material discovery and screening, as well as advancing emerging thermochemical conversion process technologies. Providing an in-depth examination of how big data analytics and ML models can be harnessed to predict system performance, understand complex reaction mechanisms, and accelerate development of innovative conversion technologies, as well as focusing on both theoretical and practical aspects, this book will be a welcome reference for researchers, engineers, and practitioners.Presents a comprehensive perspective by integrating the disciplines of geology, engineering, policy, and economics to provide a nuanced, comprehensive volume on the subjectBridges the gap between data science and thermochemical process engineeringSpans foundational features and digs deeper on root causes and remedies to challenges and limitations to yield a practical publication for a varied audienceUses cutting-edge characterization and modelling tools along with novel methodologies to make the subject practical, easy-to-understand and implementServes as a valuable resource for professionals, researchers, students, educators, and policymakers

Data-Driven Machine Learning Applications in Thermochemical Conversion Processes delves into the prospect of machine learning applications to optimize and enhance advanced thermochemical conversion processes, which are essential for converting biomass into energy and other valuable products. This book covers ML applications in higher heating value (HHV) predictions, catalyst screening, prediction of biofuels properties, material discovery and screening, as well as advancing emerging thermochemical conversion process technologies. Providing an in-depth examination of how big data analytics and ML models can be harnessed to predict system performance, understand complex reaction mechanisms, and accelerate development of innovative conversion technologies, as well as focusing on both theoretical and practical aspects, this book will be a welcome reference for researchers, engineers, and practitioners. - Presents a comprehensive perspective by integrating the disciplines of geology, engineering, policy, and economics to provide a nuanced, comprehensive volume on the subject- Bridges the gap between data science and thermochemical process engineering- Spans foundational features and digs deeper on root causes and remedies to challenges and limitations to yield a practical publication for a varied audience- Uses cutting-edge characterization and modelling tools along with novel methodologies to make the subject practical, easy-to-understand and implement- Serves as a valuable resource for professionals, researchers, students, educators, and policymakers