SBR System for Phosphorus Removal: Linear Model Based Optimization
| Autor: | Oliver J. Hao, Hyunook Kim, Thomas J. McAvoy |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Environmental Engineering
Chemistry Phosphorus Environmental engineering Analytical chemistry chemistry.chemical_element Sequencing batch reactor Ammonia chemistry.chemical_compound Activated sludge Nitrate Bioreactor Environmental Chemistry Aeration Effluent General Environmental Science Civil and Structural Engineering |
| Zdroj: | Journal of Environmental Engineering. 127:105-111 |
| ISSN: | 1943-7870 0733-9372 |
| DOI: | 10.1061/(asce)0733-9372(2001)127:2(105) |
| Popis: | 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 PO3-4 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 PO3-4 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 en... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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