Modelling of the activated sludge process for microprocessor-based state estimation and control

Holmberg, Andrea

doi:10.1016/0043-1354(82)90142-7

Cited by 38 publications

(10 citation statements)

References 15 publications

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“…As we mentioned in the last paragraph, a process of this type can be modelled by using the physical laws, which describe its behaviour. It should be pointed out that a certain number of models have been established (Holmberg, 1982;Beck, 1984;Stania et al, 1994) which enable a description of the evolution of organic matter, BOD of outlet ef¯uents and active mass concentration. However, these models apply in speci®c experimental conditions and involve parameters, which are not necessarily well known, and variables, which are not necessarily measured.…”

Section: Description Of the Water Treatment Processmentioning

confidence: 99%

Modelling of a water treatment plant. A multi‐model representation

Ragot¹,

Grapin²,

Chatellier³

et al. 2001

Environmetrics

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SUMMARYThis paper examines the problem of modelling a non-linear dynamic system by a Takagi±Sugeno model. Although this type of model is well adapted to the representation of a system with non-linear behaviour, its use does however raise real problems in the identi®cation of its structure and parameters, mainly because of the enormous combinatorial increase in model complexity as a function of the number of inputs, and the coupling between the premises and consequence parts. We propose a simpli®ed model structure and an algorithm for the identi®cation of this structure and its parameters. The method is illustrated with reference to data from a wastewater treatment plant of the Greater Nancy Urban Authority.

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Section: Description Of the Water Treatment Processmentioning

confidence: 99%

Modelling of a water treatment plant. A multi‐model representation

Ragot¹,

Grapin²,

Chatellier³

et al. 2001

Environmetrics

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“…Awareness of environmental problems caused by discharges from wastewater treatment plants and the will to improve and preserve the quality of receiving waters has led the adoption of higher regulatory standards, compliance with discharge standards, on the hand, and energy consumption consequent [1], on the other hand, are the key issue for managers of wastewater treatment plants.…”

Section: Introductionmentioning

confidence: 99%

Contribution to optimize decision parameters in activated-sludge process using ANFIS model

Maachou

Lefkir

Merabtene³

et al. 2017

MATEC Web Conf.

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Abstract. The monitoring of activated sludge processes is difficult because of their slow dynamics, the complexity of their behavior. To obtain the desired level of performance in an activated sludge system, a proper balance must be maintained between aeration (energy consumption) and the quantity of sludge recirculation. The objective of this study is to determine the necessary amount of recirculated sludge in activated sludge process in the aim to reduce the energy consumption with respect of environmental standards. To achieving this objective, a comparative study between three models was performed. In order to reduce the complexity of activated-sludge process, the first is a linear model based on principal component analysis method (PCA), the second is an Adaptive Neural Fuzzy Inference System model (ANFIS), while the third is based on coupling of those two approaches. The best values of validation criterion obtained with the last method show the high performance of the hybrid model proposed...

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“…Simple strategies are typically limited to the maintenance of some desired values for easily determinable process parameters, such as food-microorganism ratio, sludge recycle flow rate, or oxygen concentration in the aeration basin (Holmberg, 1982). More complex models take into consideration that the process also depends on a number of working conditions, such as air pump power to regulate the mean oxygen concentration (Rinaldi et al, 1979).…”

Section: Models Of Asp and Atadmentioning

confidence: 99%