Automated Targeting Technique for Single-Impurity Resource Conservation Networks. Part 1: Direct Reuse/Recycle

Abstract

This pair of articles presents an optimization-based, automated procedure to determine the minimum resource consumption/target(s) for a single-impurity resource conservation network (RCN). This optimization-based targeting technique provides the same benefits as conventional insight-based pinch analysis, in yielding various targets for an RCN prior to detailed design. In addition, flexibility in setting the objective function is the major advantage of the automated targeting approach over a conventional pinch analysis technique. The model formulation is linear, which ensures that a global optimum can be found if one exists. In part 1 of this pair of articles, the model for direct material reuse/recycle is presented. Its application is then demonstrated for single, multiple, and impure external resources using several literature examples. Part 2 of this pair of articles extends the automated targeting technique for RCNs with waste-interception (regeneration) placement.

Optimization of Water Network Synthesis for Single-Site and Continuous Processes: Milestones, Challenges, and Future Directions

“…technique is presented by Ng et al 69 This work represents the first of a series of papers on 17 automating the pinch analysis-based targeting method using optimization. 25,70 The paper 18…”

Synthesis of Heat-Integrated Resource Conservation Networks

“…Various works for more generalised fixed flowrate problem were also reported for direct reuse/recycle (Dhole et al, 1996;Polley and Polley, 2000;Hallale, 2002;El-Halwagi et al, 2003;Manan et al, 2004;Prakash and Shenoy, 2005;Bandyopadhyay et al, 2006;Foo et al, 2006b;Almutlaq and ElHalwagi, 2007;Foo, 2007;Shenoy and Bandyopadhyay, 2007;Foo, 2008) and for regeneration systems (Ng et al, 2007a;Ng et al, 2008b). Furthermore, the use of combined conceptual-based and mathematical optimisation techniques was also reported for water network synthesis with reuse/recycle, regeneration and total water network (Alva-Argáez et al, 2007;Ng et al, 2007b;Ng et al, 2007c;Ng et al, 2009a;Ng et al, 2009b;Ng et al, 2010). Note that total water network consists of the elements of water reuse/recycle, regeneration (treatment for reuse/recycle), and waste treatment (treatment for final discharge).…”

“…Kazantzi and El-Halwagi (2005) and Foo et al (2006a) extended the conventional targeting techniques developed for concentration-based RCN into property integration problem. Besides, Ng and co-workers extended their automated targeting techniques (Ng et al, 2009a;Ng et al, 2009b) for property-based RCN problems too (Ng et al, 2009c;Ng et al, 2010). Concurrently, there is also a small group of methods that focus on batch processes (Grooms et al, 2005;Ng et al, 2008a;Chen et al, 2010).…”

Hybrid Optimisation Model for the Synthesis of Centralised Utility System in Eco-Industrial Park

“…To address this issue, a well-known automated targeting approach is extended to determine the allocation of steam, distribution of steam, and potential power generated from the steam turbines. According to Ng et al (2009a), automated targeting approach provides a valuable insight prior to detailed design and offers a greater flexibility in setting objective function over the conventional techniques.…”