Optimal design of activated sludge process (ASP) using multi-objective optimization was studied, and a benchmark process in Benchmark Simulation Model 1 (BSM1) was taken as a target process. The objectives of the study were to achieve four indexes of percentage of effluent violation (PEV), overall cost index (OCI), total volume and total suspended solids, making up four cases for comparative analysis. Models were solved by the non-dominated sorting genetic algorithm in MATLAB. Results show that: ineffective solutions can be rejected by adding constraints, and newly added objectives can affect the relationship between the existing objectives; taking Pareto solutions as process parameters, the performance indexes of PEV and OCI can be improved more than with the default process parameters of BSM1, especially for N removal and resistance against dynamic NH4+-N in influent. The results indicate that multi-objective optimization is a useful method for optimal design ASP.
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Research Article|
March 06 2014
Optimal design activated sludge process by means of multi-objective optimization: case study in Benchmark Simulation Model 1 (BSM1) Available to Purchase
Wenliang Chen;
Wenliang Chen
1School of Resources and Environmental Engineering, East China University of Science and Technology, Meilong Road, Shanghai 200237, China
2School of Energy and Environment, Southeast University, Sipailou Road, Nanjing 210096, China
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Chonghua Yao;
1School of Resources and Environmental Engineering, East China University of Science and Technology, Meilong Road, Shanghai 200237, China
E-mail: [email protected]
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Xiwu Lu
Xiwu Lu
2School of Energy and Environment, Southeast University, Sipailou Road, Nanjing 210096, China
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Water Sci Technol (2014) 69 (10): 2052–2058.
Article history
Received:
December 01 2013
Accepted:
February 19 2014
Citation
Wenliang Chen, Chonghua Yao, Xiwu Lu; Optimal design activated sludge process by means of multi-objective optimization: case study in Benchmark Simulation Model 1 (BSM1). Water Sci Technol 1 May 2014; 69 (10): 2052–2058. doi: https://doi.org/10.2166/wst.2014.119
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