Effluent quality improvement in sequencing batch reactor-based wastewater treatment processes using advanced control strategies

The treatment of wastewater is highly challenging due to large fluctuations in flowrates, pollutants, and variable influent water compositions. A sequencing batch reactor (SBR) and modified SBR cycle-step-feed process (SSBR) configuration are studied in this work to effectively treat municipal waste...

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Bibliographic Details
Published in:Water science and technology 2024-05, Vol.89 (10), p.2661-2675
Main Authors: Dey, Indranil, Ambati, Seshagiri Rao, Bhos, Prashant Navnath, Sonawane, Shirish, Pilli, Sridhar
Format: Article
Language:English
Subjects:
Aeration
aeration control
Algorithms
Ammonia
asm2d model
Batch reactors
Bioreactors
Chemical oxygen demand
Consumption
Controllers
Dissolved oxygen
Efficiency
effluent quality
Effluents
Energy consumption
Flow rates
Fuzzy control
Fuzzy logic
Influent water
Influents
mathematical modelling
Municipal wastewater
Nitrogen
Nitrogen - analysis
Nutrient cycles
Nutrients
Oxygen - analysis
Oxygen requirement
Phosphorus
Phosphorus - analysis
Process controls
Proportional integral
Quality control
Reactors
sbr
Sedimentation & deposition
Sequencing
Sequencing batch reactor
Simulation
Waste Disposal, Fluid - methods
Wastewater
Wastewater treatment
Water Pollutants, Chemical - analysis
Water Purification - methods
Water treatment
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Summary:The treatment of wastewater is highly challenging due to large fluctuations in flowrates, pollutants, and variable influent water compositions. A sequencing batch reactor (SBR) and modified SBR cycle-step-feed process (SSBR) configuration are studied in this work to effectively treat municipal wastewater while simultaneously removing nitrogen and phosphorus. To control the amount of dissolved oxygen in an SBR, three axiomatic control strategies (proportional integral (PI), fractional proportional integral (FPI), and fuzzy logic controllers) are presented. Relevant control algorithms have been designed using plant data with the models of SBR and SSBR based on ASM2d framework. On comparison, FPI showed a significant reduction in nutrient levels and added an improvement in effluent quality. The overall effluent quality is improved by 0.86% in FPI in comparison with PI controller. The SSBR, which was improved by precisely optimizing nutrient supply and aeration, establishes a delicate equilibrium. This refined method reduces oxygen requirements while reliably sustaining important biological functions. Focusing solely on the FPI controller's performance in terms of total air volume consumption, the step-feed SBR mechanism achieves an excellent 11.04% reduction in consumption.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2024.150