Proportional-Integral Ammonium-based Aeration Control for Activated Sludge Process

Husin, Maimun Huja; Rahmat, M. F.; Wahab, Norhaliza Abdul; Sabri, Mohd Faizul Bin Mohd; Suhaili, Sinarwati Mohamad

doi:10.1109/encon51501.2020.9299339

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…When using the PI controller, a compromise must always be made between aeration energy and effluent quality. If the aim is rather to improve the quality of the wastewater, the cost of aeration energy is high [8]- [11]. Moreover, a typical PI controller is not able to cope with the problems of nonlinearity, fluctuation of influent and severe disturbance in the treatment plant [12]- [15].…”

Section: Introductionmentioning

confidence: 99%

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Energy efficiency in activated sludge process using adaptive iterative learning control with PI ABAC

Huja Husin,

Mohd Sabri,

Hong Ping

et al. 2024

Bulletin EEI

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This paper proposed an iterative learning control (ILC) with a feedback regulator based on proportional integral ammonium-based aeration control (PI ABAC) to improve dissolved oxygen control through data learning of iteration data. The proposed controller's performance is evaluated using benchmark simulation model no. 1. (BSM1). The assessments focused on four main areas: effluent violation, effluent quality, aeration energy, and overall cost index. The proposed ILC PI ABAC controller's effectiveness is evaluated by comparing the performance of the activated sludge process to the BSM1 PI and feedback PI ABAC under three different weather conditions: dry, rain, and storm. The improvement of the proposed method over BSM1 PI is demonstrated by a reduction in aeration energy of up to 24%. In conclusion, if the proposed ILC PI ABAC controller is given enough information, it can be quite successful in achieving energy efficiency.

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Section: Introductionmentioning

confidence: 99%

“…To verify the efficiency of the proposed controller, its performance is evaluated with two other control configurations, namely the standard benchmark simulation model no. 1 (BSM1) PI [31] and the feedback controller PI ABAC [8].…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency in activated sludge process using adaptive iterative learning control with PI ABAC

Huja Husin,

Mohd Sabri,

Hong Ping

et al. 2024

Bulletin EEI

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“…The ammonium-based feedback control approach detects the concentration of ammonium in the aerobic zone and controls the airflow via a VFD [27], or when used in cascade control provides feedback to the DO setpoint, which then controls the airflow. The feed-forward volume control approach is more effective in dealing with the NH 4 -N peak inflow than feedback control, which may be slower to respond in such a situation [28].…”

Section: Introductionmentioning

confidence: 99%

Fine-Tuning the Aeration Control for Energy-Efficient Operation in a Small Sewage Treatment Plant by Applying Biokinetic Modeling

Karches

2022

Energies

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Wastewater treatment is an energy-intensive process for treating liquid-phase pollutants in urban settlements. The aerobic processes of the biological treatment involve a significant air demand. An optimal control strategy could be used to minimize the amount of excess air entering the system due to safety factors applied in the design procedures. A plant-wide mechanistic modeling approach including an activated sludge model and one-dimensional settler model was proposed as an effective tool for predicting the actual air demand and for selecting the optimal aeration strategy. In this study, a sewage treatment plant receiving strong influent flow was investigated. At the sludge ages of 14–18 days, the plant was capable of achieving a 90% organic matter reduction and 85% nutrient reduction. By applying a constant dissolved oxygen concentration of 1.5 mg/L, the air demand decreased by 25%, which could be further increased by 10% if the cascade ammonium control approach was applied at peak periods. The dependence of the aeration energy demand on the temperature and dissolved oxygen was formulated, meaning the operators could select the optimal setpoint and minimize the energy consumption while the effluent quality requirements were met.

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Implementation of Transfer Function From System Identification Tools For PID Controller Design For Ammonium Removal In Sand Biofilter

Subari,

Sheikh Abdullah,

Hasan

et al. 2023

2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS)

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Proportional-Integral Ammonium-based Aeration Control for Activated Sludge Process

Cited by 5 publications

References 14 publications

Energy efficiency in activated sludge process using adaptive iterative learning control with PI ABAC

Energy efficiency in activated sludge process using adaptive iterative learning control with PI ABAC

Fine-Tuning the Aeration Control for Energy-Efficient Operation in a Small Sewage Treatment Plant by Applying Biokinetic Modeling

Implementation of Transfer Function From System Identification Tools For PID Controller Design For Ammonium Removal In Sand Biofilter

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