New generic mathematical model for WWTP sludge digesters operating under aerobic and anaerobic conditions: Model building and experimental verification

Gracia, M. de; Grau, P.; Huete, Estíbaliz; Gómez, Jairo; García-Heras, J. L.; Ayesa, E.

doi:10.1016/j.watres.2009.07.014

Cited by 29 publications

(15 citation statements)

References 23 publications

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“…The dynamic behaviour and stability properties of neural network models of (1) have been extensively studied by Hopfield, as well as other researchers [15][16]. These studies showed encouraging results in application areas such as associative memories, but they also revealed limitations of the simple model described by (1).…”

Section: A Neural Network Structurementioning

confidence: 95%

“…An activated sludge treatment process, which is a common wastewater treatment system in the town, is a biological method for treating wastewater. Even though the behaviour of activated sludge is basically known, long lags and the complex characteristic of biological activity set a challenge for controlling the process [1]. A number of Activated Sludge Models (ASM) with different levels of complexity are currently available for WWTP, e.g.ASM1 and ASM2d, including 13and respectively 17 components [2].…”

Section: Introductionmentioning

confidence: 99%

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Recurrent High Order Neural Network Modeling for Wastewater Treatment Process

Qiao¹,

Yang²,

Yuan³

2011

JCP

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Abstract-Due to the multi-variable, nonlinear, large time delay and strong coupling features of the wastewater treatment process, a recurrent high-order neural network is used to model the key water quality parameters(Chemical Oxygen Demand, Biological Oxygen Demand, Suspended Solid and Ammonia Nitrogen) for the wastewater treatment process, and the neural network is trained by an filtering algorithm. Operational data of a wastewater treatment plant is employed to illustrate the efficacy of the proposed modeling method. Meanwhile, the results are compared with feed-forward neural network and the general recurrent neural network to indicate the modeling accuracy of the recurrent high-order neural network.Index Terms-wastewater treatment, recurrent high order neural network, filtering

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Section: A Neural Network Structurementioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Recurrent High Order Neural Network Modeling for Wastewater Treatment Process

Qiao¹,

Yang²,

Yuan³

2011

JCP

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“…Another model which might have the potential ability to simulate simultaneous aerobic and anaerobic effects is the one proposed by de Gracia et al [148]. This is a completely new model developed to describe the wastewater sludge (primary and secondary) digestion under aerobic or anaerobic conditions.…”

Section: Modeling Of Oxygen Effects In Admentioning

confidence: 99%

“…The model is capable of predicting the formation of VFA when the oxygen supply is limited in aerobic sludge digestion. Inclusion of an energy balance in de Gracia et al 's [148] model allows the prediction of reactor temperature variation due to aerobic biological heat generation which can be a significant effect in highly aerated conditions. It also includes thermal hydrolysis as a physiochemical transformation process.…”

Section: Modeling Of Oxygen Effects In Admentioning

confidence: 99%

“…It is also not clear whether, or to what extent, this model could be used to analyze the effects of oxygenation on bio-gasification. The process rate equations are not obvious in the publication [148]. It is however observed that two different formulations have been used to describe the hydrolysis under aerobic and anaerobic conditions, separately.…”

Section: Modeling Of Oxygen Effects In Admentioning

confidence: 99%

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Oxygen Effects in Anaerobic Digestion – A Review

Botheju¹,

Bakke²

2011

TOWMJ

141

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This article reviews the experimental and theoretical studies conducted on the possible effects of oxygen in biogas generating anaerobic digesters. The interactions of oxygen with various biochemical processes associated with anaerobic digestion are discussed together with other relevant aspects. The conventional perception of oxygen being merely toxic in anaerobic digestion (AD) is refuted. Digesters can withstand significant levels of oxygenation without drastic negative impacts. Limited quantities of oxygen can even lead to improved AD reactor performance under certain operating conditions. Co-existence of anaerobic and aerobic cultures in a single bioreactor environment has been demonstrated. It is shown that the partial aeration assisted AD can serve as a beneficial treatment strategy for simultaneous waste treatment and energy generation, for a multitude of organic waste categories.

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Instrumentation and control of anaerobic digestion processes: a review and some research challenges

Jimenez

Latrille

Harmand

et al. 2015

Rev Environ Sci Biotechnol

138

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31To enhance energy production from methane or resource recovery from digestate, anaerobic digestion processes 32 require advanced instrumentation and control tools. Over the years, research on these topics has evolved and 33 followed the main fields of application of anaerobic digestion processes: from municipal sewage sludge to liquid 34-mainly industrial -then municipal organic fraction of solid waste and agricultural residues. Time constants of 35 the processes have also changed with respect to the treated waste from minutes or hours to weeks or months. 36Since fast closed loop control is needed for short time constant processes, human operator is now included in the

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New generic mathematical model for WWTP sludge digesters operating under aerobic and anaerobic conditions: Model building and experimental verification

Cited by 29 publications

References 23 publications

Recurrent High Order Neural Network Modeling for Wastewater Treatment Process

Recurrent High Order Neural Network Modeling for Wastewater Treatment Process

Oxygen Effects in Anaerobic Digestion – A Review

Instrumentation and control of anaerobic digestion processes: a review and some research challenges

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