Two-Step Optimization Approach for Design of A Total Water System

Abstract

The development of the two-step optimization approach, as seen in Part 1 of the paper, can then be extended to a total water system. The total water system comprises two subsystems: namely, water-using units and wastewater treatment system. In this paper, the proposed approach utilizes mixed integer linear programming (MILP) and nonlinear programming (NLP) in the two-step optimization approach to generate multiple optimum solutions, called "class of good solutions", for the total water system design problem. A case study from the literature is used to illustrate the proposed approach, and comparisons with the results from the current techniques were then made to demonstrate the proposed method's strength.

Recent developments in Process Integration

“…Foo (2009) reviewed the targeting procedure for water networks with loss/gain. Two general approaches for minimising freshwater usage in total Water Networks (WNs) have been developed, one based on Water Pinch and the other on MP, the second employing either sequential (Putra and Amminudin, 2008) or simultaneous (Faria and Bagajewicz, 2008) procedures. Global optimisation was applied to the synthesis of water networks (Karuppiah and Grossmann, 2006) and a general superstructure and optimisation of the integrated Process Water Networks (PWNs) was proposed by Ahmetović and Grossmann (2011).…”

An exact approach for the prioritization process of industrial influents in wastewater systems

“…These studies consider the water requirements of the industrial processing facilities (Alnouri et al 2014;Deng et al 2013) and set the wastewater destination as a superstructure of treatment networks (Jianren and Zhaojie 2010;Karuppiah and Grossmann 2008;Handani et al 2011;Ponce-Ortega et al 2012;Putra and Amminudin 2008;Sotelo-Pichardo et al 2014;Teles et al 2012;Walczyk and Je_ zowski 2008;Yu et al 2014).…”

Multilevel strategies for the retrofit of large‐scale industrial water system: A brewery case study

“…In the case of the sequential procedures, the design of a water network is decomposed into a series of simpler steps and the acceptable solution is obtained gradually. [10][11][12] The simultaneous methods identify the optimal water network based on interval elimination procedure, 13 deterministic spatial branch, and contract algorithm, 14 stochastic-, 15,16 superstructure-based mathematical programming [17][18][19][20][21][22][23][24] or genetic algorithms. [25][26][27] Design method for industrial water system, which combines the principles of water-pinch with mathematical programming was developed by Alva-Argaez et al 28 and Bai et al 29 Li et al 30 introduced a state-time-space superstructure for optimization of batch water network in both, time and space dimensions.…”