SBR system for phosphorus removal: Linear model based optimization

H. Kim, O. J. Hao, T. J. McAvoy

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Using a linear model, an optimization scheme for a sequencing batch reactor (SBR) system for phosphorus removal was investigated. The objective was to minimize energy consumption by reducing the aeration cycle time (tair), while meeting the permit requirement (monthly average PO43- of 0.5 mg P/L). Based on the model prediction and error feedback information, the proposed scheme controlled the SBR system well both in the simulation and the real application by adjusting the tair to meet the effluent PO43- constraint. Mismatch between the model prediction and the measured data was compensated for. In the simulation, the average aeration cycle time was calculated to be 2.8 h, while in the real system it was 3.5 h. The actual optimized system provided excellent removal of phosphorus, COD, and ammonia with efficiencies of 93% (7.4 to 0.5 mg P/L). 90% (420 to 43 mg COD/L), and 98% (22.1 to 0.4 mg N/L), respectively. However, the effluent nitrate concentrations were relatively high (10 mg N/L), due to a slower endogenous nitrate respiration rate.

Original languageEnglish
Pages (from-to)105-111
Number of pages7
JournalJournal of Environmental Engineering (United States)
Issue number2
StatePublished - Feb 2001


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