l1-norm optimal control of N-removal in an activated sludge process

Full scale two-stage activated sludge process (ASP) with fixed biological media was used to treat coal gasification wastewater. The ASP has operated for more than one year and COD, total phenol and NH4-N removal effects were illuminated. COD and total phenol removal rates were around 85% and 90% during long term operation. Effluent COD and total phenol of the first stage of the ASP had an abnormal increase and turned to normal after several weeks. Nitrification of the ASP increased slowly and NH4-N removal rates achieved 80% after 15 weeks. Stenotrophomonas maltophilia K279a is isolated from coal chemical industry wastewater. The optimum conditions for PO production are phenol 1000mg/L, temperature 30-34 and pH 7-7.5. The strain resists 980mg/L COD and 805mg/L phenols. The degradation rate of phenols reaches 97% in 48h. The results show that Stenotrophomonas maltophilia K279a can be applied to the aerobic process with high proportion of phenols

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Subspace-based optimal control of n-removal activated sludge plants

Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204) ◽

10.1109/cca.2001.973931 ◽

2002 ◽

Cited By ~ 2

Author(s):

O.A.Z. Sotomayor ◽

S.W. Park ◽

C. Garcia

Keyword(s):

Optimal Control ◽

Activated Sludge ◽

N Removal

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Optimal control of the activated sludge process: effect of sludge storage

Water Research ◽

10.1016/0043-1354(92)90052-6 ◽

1992 ◽

Vol 26 (4) ◽

pp. 507-517 ◽

Cited By ~ 14

Author(s):

J KABOURIS ◽

A GEORGAKAKOS ◽

A CAMARA

Keyword(s):

Optimal Control ◽

Activated Sludge ◽

Activated Sludge Process

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Optimal design activated sludge process by means of multi-objective optimization: case study in Benchmark Simulation Model 1 (BSM1)

Water Science & Technology ◽

10.2166/wst.2014.119 ◽

2014 ◽

Vol 69 (10) ◽

pp. 2052-2058 ◽

Cited By ~ 8

Author(s):

Wenliang Chen ◽

Chonghua Yao ◽

Xiwu Lu

Keyword(s):

Optimal Design ◽

Activated Sludge ◽

Simulation Model ◽

Process Parameters ◽

Activated Sludge Process ◽

Multi Objective Optimization ◽

Cost Index ◽

Multi Objective ◽

Performance Indexes ◽

N Removal

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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