Sustainable Process Design Through Mass and Property Integration

Mahmoud M. El-Halwagi, Professor and Holder of the McFerrin Professorship, Texas A&M University, College Station Texas


25 September 2014 at 10:30

Location: JHE 326H

Mahmoud M. El-Halwagi

ABSTRACT

 Industrial processes exert some of the most profound impacts on the ecosystem. These impacts are attributed to several factors including the significant usage of natural resources, the environmental discharges associated with the processing, and the ecological effects of the products. Sustainable design of industrial processes is aimed at achieving several objectives including resource conservation, recycle/reuse, pollution prevention, yield improvement, and profitability enhancement. These objectives can be methodically addressed using systems-based approaches. In this context, process integration offers an effective framework for sustainable design. The presentation focuses on two branches of process integration: mass and property integration.  Mass integration has evolved as a holistic approach to the generation, separation, and routing of species and streams throughout the process. It is a systematic methodology that provides a fundamental understanding of the global flow of mass within the process and employs it in identifying performance targets and optimizing the allocation and generation of streams and species. The presentation starts by discussing key concepts and tools in the area of mass integration and how this methodology can be used to provide global insights on the process performance. Special emphasis is given to the notion of targeting which enables the benchmarking of process performance ahead of detailed design. The second part of the presentation discusses the concept of process integration which is defined as a functionality-based, holistic approach to the allocation and manipulation of streams and processing units which is based on tracking, adjustment, assignment, and matching of functionalities throughout the process. In particular, the presentation will show systematic rules and visualization techniques for the identification of optimal mixing of streams, their allocation to units based on their properties, task identification, and integration with molecular design. Case studies will be used to illustrate the basic concepts and applicability.

 


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