Model based optimization of the intermittent aeration profile for SBRs under partial nitrification

Area of Science:

• Environmental Engineering
• Wastewater Treatment Technologies
• Process Optimization

Background:

• Sequencing Batch Reactor (SBR) processes are widely used in wastewater treatment.
• Partial nitrification in SBRs requires precise control of aeration to optimize performance.
• Minimizing operational time and energy consumption are key challenges in SBR management.

Purpose of the Study:

• To develop a fast and accurate optimization framework for SBR aeration policies.
• To determine optimal intermittent aeration profiles that reduce cycle time and energy usage.
• To implement strategies for avoiding nitrate formation during partial nitrification.

Main Methods:

• Implementation of a nonlinear "5-state" model for SBR simulation.
• Reduction of the optimization problem to three control variables for efficiency.
• Analysis and integration of methods to prevent nitrate accumulation.

Main Results:

• The proposed framework achieves fast, robust, and accurate computation of optimal aeration profiles.
• The optimization strategy effectively minimizes SBR cycle operation time and aeration energy.
• The approach successfully avoids significant nitrate formation.

Conclusions:

• The developed optimization framework provides an efficient solution for managing SBR processes under partial nitrification.
• The methodology is adaptable to more complex models, such as ASM3, for advanced treatment scenarios.
• This approach enhances the sustainability and cost-effectiveness of wastewater treatment operations.