AI-Driven Microbial Fuel Cells

AI-Driven Microbial Fuel Cells: Sustainable Energy Recovery and Wastewater Treatment Optimization explores the emerging field of microbial fuel cells (MFCs) and their role in sustainable energy generation and wastewater management. This reference addresses the critical need for advanced, eco-friendly solutions to meet global energy demands while reducing carbon emissions. It combines foundational principles of bioelectrochemical systems with cutting-edge AI technologies, providing a multidisciplinary approach that enhances system efficiency, scalability, and practical deployment. The book’s comprehensive content spans from basic MFC science to innovative material engineering, data-driven design, and real-world case studies, ensuring applicability across research, engineering, and industry. The table of contents features chapters on MFC fundamentals, electrode and membrane engineering, hybrid systems, AI-enabled optimization, and industrial case studies. Each chapter includes protocols, datasets, modeling examples, and design guidelines, presented in a modular, self-contained format for ease of use and discoverability. This reference empowers researchers, engineers, and practitioners to harness AI and bioelectrochemical innovations, advancing low-carbon technologies aligned with SDGs 6, 7, 9, 12, and 13. Overall, it offers a vital resource for fostering the transition toward sustainable, circular bioenergy systems.