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Mathematical modeling and modification of an activated sludge benchmark process evaluated by multiple performance criteria

  • Process Systems Engineering, Process Safety
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Abstract

Optimal modification of an activated sludge process (ASP) evaluated by multiple performance criteria was studied. A benchmark process in BSM1 was taken as a target process. Four indexes of percentage of effluent violation (PEV), energy consumption (OCI), total volume of tanks (TV) and total suspended solid in tank5 (TSSa5), were criteria and eleven process parameters were decision variables, making up the multiple criteria optimization model, which was solved by non-dominated sorting genetic algorithm II (NSGA-II) in MATLAB. Pareto solutions were obtained; one solution (opt1) was selected based on the authors’ decision for a further analysis. Results show that the process with opt1 strategy exhibits much better performance of PEV and OCI than with the default, being improved by 74.17% and 9.97% specifically under dry influent and without control. These results indicated that the multiple criterion optimization method is very useful for modification of an ASP.

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Authors and Affiliations

  1. School of Resources and Environment Engineering, East China University of Science and Technology, Meilong Road, Shanghai, 200237, China

    Wenliang Chen & Chonghua Yao

  2. School of Energy and Environment, Southeast University, Sipailou Road, Nanjing, 210096, China

    Wenliang Chen & Xiwu Lu

  3. ERC Taihu Lake Water Environment (Wuxi), Linghu Avenue, Wuxi, 214135, China

    Wenliang Chen & Xiwu Lu

Authors
  1. Wenliang Chen
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  2. Chonghua Yao
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  3. Xiwu Lu
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Correspondence to Chonghua Yao or Xiwu Lu.

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Chen, W., Yao, C. & Lu, X. Mathematical modeling and modification of an activated sludge benchmark process evaluated by multiple performance criteria. Korean J. Chem. Eng. 31, 1330–1338 (2014). https://doi.org/10.1007/s11814-014-0056-9

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  • DOI: https://doi.org/10.1007/s11814-014-0056-9

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