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Published on: November 24, 2021
Controlling the COD removal of an A-stage pilot study with instrumentation and automatic process control
Mark W Miller1, Matt Elliott2, Jon DeArmond3
1Brown and Caldwell, 309 East Morehead Street, Suite 160, Charlotte, NC 28202, USA
This study explored automatic control strategies for the A-stage of A/B processes to improve nitrogen removal. MLSS-based control significantly reduced chemical oxygen demand (COD) removal variation, though effluent C/N variability was not significantly impacted.
Area of Science:
- Environmental Engineering
- Wastewater Treatment Technologies
- Biotechnology
Background:
- The A/B process is crucial for autotrophic nitrogen removal via anaerobic ammonium oxidation (anammox).
- High-rate operation of the A-stage leads to variable chemical oxygen demand (COD) removal, affecting downstream nitrogen removal.
- Lack of automatic process control exacerbates COD removal variability in the A-stage.
Purpose of the Study:
- To evaluate dissolved oxygen (DO) and mixed liquor suspended solids (MLSS) based automatic control strategies in the A-stage of an A/B pilot study.
- To reduce COD removal variability in the A-stage and consequently, the effluent C/N variability.
- To assess the impact of these control strategies on nitrogen removal efficiency.
Main Methods:
- Implementation of in situ on-line sensors for real-time monitoring of DO and MLSS.
- Application of cascade DO control strategy in the A-stage.
- Utilization of MLSS-based solids retention time (SRT) control as a surrogate for SRT management.
- Pilot-scale A/B system operation under controlled conditions.
Main Results:
- Cascade DO control did not significantly impact COD removal when DO levels were maintained above 0.5 mg/L.
- MLSS-based SRT control reduced COD removal variation in the A-stage by 90%.
- Effluent C/N variability was not significantly reduced by the MLSS-based control strategy under the tested conditions.
Conclusions:
- MLSS-based control is effective in stabilizing COD removal in the A-stage of A/B processes.
- Further optimization may be needed to address effluent C/N variability.
- Automatic control strategies show promise for enhancing the performance of autotrophic nitrogen removal systems.
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