Control strategy for the activated sludge process under shock loading

Couillard, Denis; Zhu, Shucai

doi:10.1016/0043-1354(92)90241-u

Cited by 19 publications

(7 citation statements)

References 17 publications

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“…Without reliable SBH prediction, neither maximum clarifier loading nor appropriate design of clarifier configuration and equipment is possible. Furthermore, SBH is also important in the design of activated sludge process to avoid sludge overflow [3] . Observations of many studies on full-scale WWTPs clarifiers showed that the effluent SS rise significantly when the sludge blanket exceeds a critical level [4−7] .…”

Section: Introductionmentioning

confidence: 99%

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Simulation of sludge blanket height in clarifiers

Zhou

Wang

et al. 2009

J. Shanghai Univ.(Engl. Ed.)

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Sludge blanket height (SBH) is an important parameter in the clarifier design, operation and control. Based on an overview and classification of SBH algorithms, a modified SBH algorithm is proposed by incorporating a threshold concentration limit into a relative concentration sharp change algorithm to eliminate the disturbance of compression interfaces on the correct simulation of SBH. Pilot-scale test data are adopted to compare reliability of three SBH algorithms reported in literature and the modified SBH algorithm developed in this paper. Calculated results demonstrate that the three SBH algorithms give results with large deviation (> 50%) from measured SBH, especially under low solid flux conditions. The modified algorithm is computationally efficient and reliable in matching the measured data. It is incorporated into a onedimensional clarifier model for stable simulation of pilot-scale experimental clarifier data and into dynamic simulation of a full-scale wastewater treatment plant (WWTP) clarifier data.

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Section: Introductionmentioning

confidence: 99%

“…On the other hand, a high SBH in the clarifier results in a long sludge thickening time, and thus high SS concentration at the bottom of the clarifier [8−9] . Therefore, SBH is an important variable in on-line monitoring and automatic control of WWTPs [3,[5][6]10] .…”

Section: Introductionmentioning

confidence: 99%

Simulation of sludge blanket height in clarifiers

Zhou

Wang

et al. 2009

J. Shanghai Univ.(Engl. Ed.)

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“…[23,12,[24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. In particular, the diurnal periodic load to wastewater treatment plants are of major concern, as well as the additional transient complications caused by, for example, storm events, see the numerical simulations, experimental data and discussions in, for example, [44-51, 43, 52].…”

Section: Introductionmentioning

confidence: 99%

Operating charts for continuous sedimentation IV: limitations for control of dynamic behaviour

Diehl

2007

J Eng Math

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Abstract. The nonlinear behaviour of a one-dimensional idealized model of continuous sedimentation has been investigated in this series of papers. The model is a scalar hyperbolic conservation law with space-discontinuous flux function and point source. Parameters in the equation are the two input variables (concentration and flux) and the control variable (a volume flow). The most desired type of solution contains a large concentration discontinuity and is referred to as 'optimal operation'. Operating charts (concentration-flux diagrams) have proved to be a means for classifying the nonlinear behaviour. In this paper, some fundamental results on the dynamic behaviour are presented, which give information on the limitations of the range of the control variable. When this is used together with the previously introduced optimal control strategies for step inputs, the process can be controlled.

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“…An example of this type of control is the use of controllers for maintaining a fixed set-point for the DO level in the aeration tank. Control in multiple layers is described by several authors (Beck, 1984(Beck, , 1986Couillard and Zhu, 1992) and is increasingly implemented in automatic control systems . Overall level:…”

Section: Operation Of Wastewater Treatment Plantsmentioning

confidence: 99%

“…Simulation studies applying this control strategy give encouraging results. Couillard and Zhu (1992) extended this system by defining PID fuzzy based controllers for the lower control level. Their control system results in good process performance when the treatment is under shock loads.…”

Section: Waste Activated Sludge (Was) Ratementioning

confidence: 99%