Dominic Foo

Process Integration for Resource Conservation (eBook, PDF)

• Format: PDF

Produktbeschreibung

Ideal for students preparing for real-world work as well as industrial practitioners, this text presents state-of-the-art, cost-effective techniques, including pinch analysis and mathematical optimization, for numerous conservation problems encountered in industrial plants. 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 at www.crcpress.com. A solutions manual is available with qualifying course adoption.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 606
• Erscheinungstermin: 5. April 2016
• Englisch
• ISBN-13: 9781439860496
• Artikelnr.: 56958595

Autorenporträt

Dominic C.Y. Foo, Ph.D., P.E., is a Professor of Process Design and Integration and the founding director of the Centre of Excellence for Green Technologies at the University of Nottingham Malaysia Campus. Professor Foo has authored more than 70 journal papers and made more than 120 conference presentations. He has been a recipient of the Innovator of the Year Award from the Institution of Chemical Engineers UK (IChemE) and the Young Engineer Award from the Institution of Engineers Malaysia (IEM).

Inhaltsangabe

Introduction. Data Extraction for Resource Conservation. INSIGHT-BASED
PINCH ANALYSIS TECHNIQUES: Graphical Targeting Techniques for Direct
Reuse/Recycle. Algebraic Targeting Techniques for Direct Reuse/Recycle.
Process Changes for Resource Conservation Networks. Algebraic Targeting
Approach for Material Regeneration Networks. Network Design and Evolution
Techniques. Targeting for Waste Treatment and Total Material Networks.
Synthesis of Pretreatment Network. Synthesis of Inter-Plant Resource
Conservation Networks. Synthesis of Batch Material Networks. MATHEMATICAL
OPTIMIZATION TECHNIQUES: Synthesis of Resource Conservation Networks: A
Superstructural Approach. Automated Targeting Model for Direct
Reuse/Recycle Networks. Automated Targeting Model for Material Regeneration
and Pretreatment Networks. Automated Targeting Model for Waste Treatment
and Total Material Networks. Automated Targeting Model for Inter-Plant
Resource Conservation Networks. Automated Targeting Model for Batch
Material Networks. Appendix. Index.