Title

Synthesis of near-optimal topologically constrained property-based water network using swarm intelligence

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

Clean Technologies and Environmental Policy

Volume

9

Issue

1

First Page

27

Last Page

36

Publication Date

2-1-2007

Abstract

The sustainability of water resources is one of the major concerns of the world. Industries are finding ways to minimize water costs and to reduce water pollution through efficient use of supplies. One of effective solutions is the use of water pinch technology or process integration techniques. Property integration emerged as the third trend of process integration technique (aside from energy and mass integration) to solve the problem of water network synthesis by considering physical stream properties such as pH or resistivity. Various techniques have been done to solve this property-based problem. In this paper, mixed integer non-linear programming (MINLP) problems with topological constraints is studied. Nowadays, various evolutionary algorithms are also used to solve such MINLP problems. In this study, particle swarm optimization is used to solve the property integration problem. A comparison is made between this algorithm and commercial genetic algorithm (GA) applications. Particle swarm optimization is observed to perform favorably compared to GA. © Springer-Verlag 2006.

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Digitial Object Identifier (DOI)

10.1007/s10098-006-0059-2

Disciplines

Chemical Engineering

Keywords

Water conservation; Water efficiency; Industrial ecology

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