A Control Model for Activated Sludge Wastewater Treatment Process

Hämäläinen, Roosa; Halme, Aarne; Gyllenberg, A.

doi:10.1016/s1474-6670(17)67592-x

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…Implementing observation strategies in bioprocess monitoring is not a new idea. In the 1970s, simulation results were reported in which Luenberger observers and Kalman filters were implemented in microbial growth and in activated sludge processes [12][13][14]. Moreover, it was very common to make estimates from correlation functions [15,16].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Ethanol Fermentation in Real Time by a Robust State Observer for Uncertainties

Aguilar‐López,

Alvarado‐Santos,

Thalasso

et al. 2024

Chem Eng & Technol

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In this article, the problem of real‐time estimation of the fermentative ethanol process is tackled. The considered observer is a model‐based technique that is robust regarding the model parameter uncertainties and inline noisy measurements. An unstructured kinetic model was used to describe the production of ethanol in a batch bioreactor for Saccharomyces cerevisiae. The biomass concentration was selected as the measured bioreactor´s output via an inline device, where the estimate variables were the substrate and ethanol concentrations. An experimental prototype was constructed to demonstrate the observer's real‐time performance. The experimental results show that the robust, smooth sliding mode observer performs better than the standard proportional sliding mode observer.

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Section: Introductionmentioning

confidence: 99%

Monitoring Ethanol Fermentation in Real Time by a Robust State Observer for Uncertainties

Aguilar‐López,

Alvarado‐Santos,

Thalasso

et al. 2024

Chem Eng & Technol

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“…So aerators and recirculation devices play a pivotal role in purification, and the first step in scenic water body purification is to make water flow and meanwhile to increase the oxygen content. This can create a good environment for the growth of aquatic and strengthening the self-purification capacity of water bodies [1,2]. However, the traditional aerators are often expensive and consume a lot of electric power, and at the same time emit large quantities of harmful gases, therefore causing secondary pollution to the environment.…”

Section: Introductionmentioning

confidence: 99%

Study on Solar Automatic Waterfall-Type Aeration System

Wei

Tan

2011

AMR

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photovoltaic system, optimum tilted angle, siphon principle, water treatment Abstract. Based on the recent research at home and abroad and the local meteorological data, this study aims to determine the optimum tilt angle of the solar-cell array surface and the best month on the system to achieve the optimal design of PV system. Full mechanical automatic control system is designed by using lever principle and siphon principle to realize the purpose of all-day and maintenance-free operational situation. It can replace the motor control system and at the same time，enjoys reliability, low cost, long life and energy conservation. The indoor and local river data of the experiment shows that this system has an evident effect on water decontamination. Furthermore， comparing with traditional aeration system. It has many advantages, for instance, it can save more than 20 thousand and carbon emission can be reduced by 683 ton and other aspects.

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“…The variability in the in¯uent waste load induces important changes in the state of the activated sludge and may lead to a reduction of the water treatment ef®ciency, unless the plant operation is continuously adjusted. To overcome this problem, many control strategies for activated sludge processes have been studied, covering all aspects, from dissolved oxygen regulation in the aeration tank [1,2], to strategies including sludge recycle and settler management [3,4]. Many researchers like Busby and Andrews [5] or Brett et al [6] have developed classical feedforward or feedback strategies to control wastewater treatment plants.…”

Section: Introductionmentioning

confidence: 99%

An adaptive and predictive control strategy for an activated sludge process

Charef¹,

Ghauch²,

Martin-Bouyer³

2000

Bioprocess Engineering

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This paper focuses on the development of a simple adaptive and predictive control algorithm, used to regulate the ef¯uent quality of an activated sludge treatment process. This control algorithm is based on the development of a linear incremental second order model which takes distinctively into account the main disturbances on the process. The model is employed to predict the ef¯uent pollution over a ®nite horizon. Then, the control inputs are computed from the predictions and the desired output set point. The simulations conducted with a non linear process model showed that such a control strategy could improve the process performances by minimizing the ef¯uent pollution and the energetic cost of the system.

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A Control Model for Activated Sludge Wastewater Treatment Process

Cited by 12 publications

References 11 publications

Monitoring Ethanol Fermentation in Real Time by a Robust State Observer for Uncertainties

Monitoring Ethanol Fermentation in Real Time by a Robust State Observer for Uncertainties

Study on Solar Automatic Waterfall-Type Aeration System

An adaptive and predictive control strategy for an activated sludge process

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