Automated targeting technique for concentration- and property-based total resource conservation network Academic Article uri icon


  • 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. 2010 Elsevier Ltd.

published proceedings


author list (cited authors)

  • Ng, D., Foo, D., Tan, R. R., & El-Halwagi, M.

citation count

  • 84

complete list of authors

  • Ng, Denny Kok Sum||Foo, Dominic Chwan Yee||Tan, Raymond R||El-Halwagi, Mahmoud

publication date

  • May 2010