Analysis and Application of Industrial Metabolism for Process-oriented Industries presents a systematic framework for understanding and optimizing material flows and environmental behavior in process-oriented industries. Addressing the fragmented theory and unsystematic methods that have limited progress in industrial metabolism, this book integrates core principles, advanced analysis tools like material flow analysis (MFA), and empirical case studies to clarify metabolic pathways, quantify pollutant sources, and provide actionable solutions for cleaner production and green transformation. The book begins with foundational concepts of industrial metabolism and process-oriented industries, progressing through methods for metabolic analysis, data acquisition, and uncertainty handling. It features in-depth case studies on heavy metal and lead metabolism in smelting processes, simulation modeling, analysis of the electrolytic aluminum and resource recycling industries, symbiotic systems in sugar manufacturing, energy metabolism and carbon emissions in industrial agglomerations, and phosphorus tracing in river basins. The concluding chapters offer prospects for future research and practical application.
Analysis and Application of Industrial Metabolism for Process-oriented Industries is an essential reference for environmental engineers, process industry practitioners, policy makers, and researchers in industrial ecology, environmental science, chemical engineering, and sustainable development. It equips readers with standardized frameworks, technical tools, and real-world cases to advance precise pollution control, resource efficiency, and the transformation to cleaner, greener industries.
Provides a comprehensive framework encompassing the definition of research scope, identification of material flows, establishment of material balance accounts, metabolic analysis, and interpretation of results
Develops a system structure model describing process connections, plus a unit function model simulating unit metabolic behavior
Covers process-oriented industries including lead smelting, aluminum smelting, sugar manufacturing, and coking
Sorts out systematically acquisition paths for production-type data and emission-type data, with supporting uncertainty handling methods such as Monte Carlo analysis and sensitivity analysis
Combines carbon emission metabolism in industrial agglomerations and total phosphorus source tracing in river basins
