Sequencing Batch Reactor for Organics and Nitrogen Removal: Modeling and Design Optimization

Sequencing Batch Reactor for Organics and Nitrogen Removal: Modeling and Design Optimization

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Findings and Conclusions. The model predictions described reasonably well the trend of biodegradable organics removal, nitrification during aeration, and denitrification during the anoxic period. The model-predicted concentrations for NH4-N were within 0.03 mg/L and 0.61 mg/L from experimental values, and the average deviation was 0.29 mg/L. The average deviation for NO3-N from the experimental value was 0.23 mg/L. The model-predicted concentrations for BOD5 were generally between 0.5 mg/L and 1.8 mg/L except for two samples which are suspected outliers. Results from this work substantiate that use of model-based design approach or design optimization can reduce the cost of SBR system by about 10 to 20 percent of the life cycle cost and also reduce the volume of the reactor by about 30 percent compared to the conventional design approach. These reductions in volume and cost are significant and can make the SBR system more attractive to larger installations.Sequencing batch reactor operations and troubleshooting manual. University of Florida. Tyteca, D. and Smeers, Y. (1981). Nonlinear programming design of wastewater treatment plant. Journal of Environmental Engineering, 107 (4), 767- 779.


Title:Sequencing Batch Reactor for Organics and Nitrogen Removal: Modeling and Design Optimization
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Publisher:ProQuest - 2008
ISBN-13:

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