Automated targeting technique for concentration- and property-based total resource conservation network

Denny Kok Sum NG, Dominic Chwan Yee Foo, Raymond R. Tan, Mahmoud El-Halwagi

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

Resource conservation networks (RCNs) are among the most effective systems for reducing the consumption of fresh materials and the discharge of waste streams. A typical RCN involves multiple elements of resource pre-treatment, material reuse/recycle, regeneration/interception, and waste treatment for final discharge. Due to the close interactions among these individual elements, simultaneous synthesis of a total RCN is necessary. This paper presents an optimisation-based procedure known as automated targeting technique to locate the minimum resource usage or total cost of a concentration- or property-based total RCNs. This optimisation-based approach provides the same benefits as conventional pinch analysis techniques in yielding various network targets prior to detailed design. Additionally, this approach offers more advantages than the conventional pinch-based techniques through its flexibility in setting an objective function and the ability to handle different impurities/properties for reuse/recycle and waste treatment networks. Furthermore, the concentration-based RCN is treated as the special case of property integration, and solved by the same model. Literature examples are solved to illustrate the proposed approach.

Original languageEnglish
Pages (from-to)825-845
Number of pages21
JournalComputers and Chemical Engineering
Volume34
Issue number5
DOIs
Publication statusPublished - 10 May 2010

Keywords

  • Automated targeting
  • Optimisation
  • Process integration
  • Property integration
  • Resource conservation
  • Waste minimisation

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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