To calibrate or not to calibrate, that is the question

Article Engineering, Environmental

Sensor bias impact on efficient aeration control during diurnal load variations

Oscar Samuelsson et al.

Summary: This study highlights the importance of understanding the interplay between sensor drift and automatic control system performance. Biased sensors can significantly impact control systems in water resource recovery facilities, particularly in the context of an ammonium cascade feedback controller in an activated sludge process.

WATER SCIENCE AND TECHNOLOGY (2021)

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Article Engineering, Environmental

Prioritize effluent quality, operational costs or global warming? ? Using predictive control of wastewater aeration for flexible management of objectives in WRRFs

P. A. Stentoft et al.

Summary: This study proposes a general model predictive control algorithm for optimizing wastewater aeration in Water Resource Recovery Facilities (WRRF) under different management objectives. The results demonstrate significant differences in aeration patterns and concentration dynamics under different control objectives. The MPC flexibility in handling different objectives is highlighted, allowing for optimization of both cost and greenhouse emissions.

WATER RESEARCH (2021)

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Article Engineering, Environmental

Soft Sensing for On-Line Fault Detection of Ammonium Sensors in Water Resource Recovery Facilities

Francesca Cecconi et al.

Summary: This study built an artificial neural network model to predict the ammonium content in the effluent and conduct fault detection by utilizing the residual between the model prediction and the sensor signal. Typical faults collected from a historic dataset were utilized to accurately identify treatment process anomalies, calibration bias faults, and fouling drifts.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2021)

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Article Engineering, Environmental