Optimised allocation of chlorination stations by multi-objective genetic optimisation for quality co
Applications of Large Scale Industrial Systems, Volume # 1 | Part# 1
Authors
W. Kurek; Mietek A. Brdys
Digital Object Identifier (DOI)
10.3182/20060830-2-SF-4903.00041
Page Numbers:
232-237
Index Terms
multiobjective optimizations,genetic algorithms,decision making,optimization problems,quality control,environmental engineering
Abstract
Providing water meeting strict quality conditions is now a number one priority for the water authorities. Water chlorination only at water treatment plants forced the usage of high concentration of disinfectant which resulted in bad taste of water near them and still did not solve the quality issues at the far points of the network. The answer to this problems is booster chlorination - placing booster station throughout the network allowing a significant reduction of chlorine concentration and at the same time ensuring proper water quality in the network. The booster chlorination is highly dependent from the demand scenarios.
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