Optimization of water network using big bang-big crunch algorithm

Date of Publication

4-2012

Document Type

Master's Thesis

Degree Name

Master of Science in Environmental Engineering and Management

Subject Categories

Environmental Engineering

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Thesis Adviser

Raymund Girard R. Tan

Defense Panel Chair

Joseph Auresenia

Defense Panel Member

Luis Razon
Dennis Cruz

Abstract/Summary

Recycling water in industrial plants has become necessary to minimize treatment cost and freshwater purchase expenses. Mathematical programming was used to solve water network optimization problems to find minimum water consumption or minimum wastewater generation. The purpose of this study was to develop a procedure to design water treatment and reuse networks using Erol and Eksins Big Bang-Big Crunch (BB-BC) algorithm. Another aim was to investigate the convergence characteristic and efficiency of the algorithm. Five case studies were used to test the performance of the BB-BC. The parameters that were varied were step size function, ξ factor and penalty weights, resulting in fifteen configurations. Lowering the parameter value of the step size function was found to create near optimal and consistent solutions in all case studies. However, increasing the penalty function weight reduced convergence time while decreasing the ξ factor has obtained low standard deviation. The configuration which has a step size value of 0.01, ξ factor of 0.99 and a penalty weight of 100 was found to generate near optimal and consistent solutions in all case studies. This configuration has achieved the lowest convergence point at less than 200 iterations, lowest standard deviation and obtained the nearest flowrate value with the correction solution The BB-BC algorithm at configuration of step size = 0.01, ξ = 0.99 and penalty weight = 100 also outperformed Pikaia, a public-domain genetic algorithm code, in all case studies.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG005137

Shelf Location

Archives, The Learning Commons, 12F Henry Sy, Sr. Hall

Keywords

Water efficiency; Sewage—Purification; Water reuse

Embargo Period

7-2-2023

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