To achieve environmental sustainability in industrial plants, resource conservation activities such as material recovery have begun incorporating process integration techniques for reusing and recycling water, utility gases, solvents, and solid waste. Process Integration for Resource Conservation presents state-of-the-art, cost-effective techniques, including pinch analysis and mathematical optimization, for numerous conservation problems.
Following the holistic philosophy of process integration, the author emphasizes the goal of setting performance targets ahead of detailed design. He explains various industrial examples step by step and offers demo software and other materials online. Ideal for students preparing for real-world work as well as industrial practitioners, the text provides a systematic guide to the latest process integration techniques for performing material recovery in process plants.
Preface
Chapter 1 : Introduction
Chapter 2 : Data Extraction for Resource Conservation
Part I : Insight-Based Pinch Analysis Techniques
Chapter 3 : Graphical Targeting Techniques for Direct Reuse/Recycle
Chapter 4 : Algebraic Targeting Techniques for Direct Reuse/Recycle
Chapter 5 : Process Changes for Resource Conservation Networks
Chapter 6 : Algebraic Targeting Approach for Material Regeneration Networks
Chapter 7 : Network Design and Evolution Techniques
Chapter 8 : Targeting for Waste Treatment and Total Material Networks
Chapter 9 : Synthesis of Pretreatment Network
Chapter 10 : Synthesis of Inter-Plant Resource Conservation Networks
Chapter 11 : Synthesis of Batch Material Networks
Part II : Mathematical Optimization Techniques
Chapter 12 : Synthesis of Resource Conservation Networks : A Superstructural Approach
Chapter 13 : Automated Targeting Model for Direct Reuse/Recycle Networks
Chapter 14 : Automated Targeting Model for Material Regeneration and Pretreatment Networks
Chapter 15 : Automated Targeting Model for Waste Treatment and Total Material Networks
Chapter 16 : Automated Targeting Model for Inter-Plant Resource Conservation Networks
Chapter 17 : Automated Targeting Model for Batch Material Networks
Appendix : Case Studies and Examples
Index
