An algorithmic revamp strategy for improving operational flexibility of multi-contaminant water networks

Da Jiang, Chuei Tin Chang

研究成果: Article同行評審

11 引文 斯高帕斯(Scopus)

摘要

The flexibility index (FI) has often been used in the past as one of the key performance measures of single-contaminant water network designs. The traditional approach to compute such an index is to solve a MINLP model derived according to the Karush-Kuhn-Tucker conditions. For the multi-contaminant systems, this approach may be impractical due to the overwhelming efforts required in deriving and solving the corresponding models. To overcome these difficulties, an alternative computation strategy is devised in this study to determine FI by solving a NLP model iteratively. On the basis of this modified computation method, the proper revamp options can be identified automatically with genetic algorithm. A series of case studies have also been carried out in this work to verify the feasibility and effectiveness of the proposed approach. In every example studied so far, the converged optimization results were not only satisfactory but also obtained within a reasonable period of time.

原文English
頁(從 - 到)289-299
頁數11
期刊Chemical Engineering Science
102
DOIs
出版狀態Published - 2013 十月 11

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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