Consecutive reaction kinetics involving distributed fraction of methanogens in fluidized-bed bioreactors

Wu, Chun‐Sheng; Huang, Jow-Lay; Yan, Jii-Lian; Jih, Charng-Gwo

doi:10.1002/(sici)1097-0290(19980205)57:3<367::aid-bit13>3.0.co;2-d

Cited by 15 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dynamics and reaction kinetics with respect to distributed fraction of methanogens have been demonstrated by Wu et al (1998). A new kinetic model was developed by combining removal efficiencies of conventional and tapered fluidized bed reactors (CFB, TFBs) were in good agreement with the experimental results.…”

Section: Microbial Population Dynamics In Biolayersmentioning

confidence: 84%

“…A few studies (Kuba et al, 1990;Martin et al, 1993;Labib et al, 1993;Buffiere et al, 1995b;Wu et al, 1998) carried out using fluidized bed process demonstrated that the attached biomass, methanogenesis, organic loading rate and residence times could affect the kinetics of anaerobic fluidized bed process. A model with anaerobic butyrate-degrading consortia was developed using Monod's kinetics for H 2 /CO 2 and acetate as substrates.…”

Section: Kinetics and Modelling In Anaerobic Fluidized Bed Reactorsmentioning

confidence: 99%

See 1 more Smart Citation

Application of anaerobic fluidized bed reactors in wastewater treatment: a review

Saravanane

Murthy

2000

Environmental Management and Health

View full text Add to dashboard Cite

During the past ten years, anaerobic process has become a popular technology for treating concentrated effluents. Research and development programmes led by both engineers and microbiologists have resulted in a better understanding of the microbiology of anaerobic reactions and reactor design for anaerobic processes. Considerable progress has been achieved in the development of high rate anaerobic reactors with several configurations for treating concentrated industrial effluents. In this review, attention is paid to highlighting the conceptual and full scale developments of anaerobic fluidized bed reactors, in respect of process performance, design concepts, start‐up of the reactor, stability of the system with respect to various operating parameters, reactor configurations, comparison with competing reactor designs for concentrated industrial effluents and kinetics and modelling of reactor systems.

show abstract

Section: Microbial Population Dynamics In Biolayersmentioning

confidence: 84%

Section: Kinetics and Modelling In Anaerobic Fluidized Bed Reactorsmentioning

confidence: 99%

Application of anaerobic fluidized bed reactors in wastewater treatment: a review

Saravanane

Murthy

2000

Environmental Management and Health

View full text Add to dashboard Cite

show abstract

“…An adequate dynamic model could enhance the understanding of relevant biological phenomena and provide the basis for an operational optimization and control strategy. There are numerous mathematical models to describe AWTP in the literature − that can be classified as kinetic models. Kinetic models are greatly valuable because they are based on real microbial reaction kinetics including mass-transfer phenomena in biofilm or sludge granule and so can provide rational insights into the physical and biological principles of various AWTPs.…”

Section: Introductionmentioning

confidence: 99%

Application of a Moving-Window-Adaptive Neural Network to the Modeling of a Full-Scale Anaerobic Filter Process

Lee

Joung

Lee

et al. 2005

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

To explore the complex dynamics of a full-scale anaerobic filter process treating the wastewater from a purified terephthalic acid manufacturing industry, a new modeling approach based on a moving-window-adaptive neural network is proposed. The essential feature of this modeling approach is that the neural network model is automatically updated whenever a new data block is available so that it can effectively capture the slowly changing process dynamics. To elucidate the advances of the proposed method, four different modeling approaches combined with the concepts of autoregressive with exogenous (ARX) input and a finite impulse response model were evaluated and compared. During each model identification process, a modified crossvalidation technique was used to avoid the overfitting problem of a neural network. Among the tested models, a moving-window-adaptive ARX neural network model showed the best prediction ability with the smallest validation error. To investigate the feasibility of this model, various dynamic simulations were performed. Although some limitations such as ambiguity in sensitivity analysis and instability in long-term simulation were identified, it is considered that the movingwindow-adaptive ARX neural network model could provide a useful guideline to explore the complicated dynamics of the anaerobic filter process.

show abstract

Process kinetics of UASB reactors treating non‐inhibitory substrate

Huang

Jih

Lin

et al. 2003

J of Chemical Tech & Biotech

Self Cite

View full text Add to dashboard Cite

Consecutive reaction kinetics involving distributed fraction of methanogens in fluidized-bed bioreactors

Cited by 15 publications

References 22 publications

Application of anaerobic fluidized bed reactors in wastewater treatment: a review

Application of anaerobic fluidized bed reactors in wastewater treatment: a review

Application of a Moving-Window-Adaptive Neural Network to the Modeling of a Full-Scale Anaerobic Filter Process

Process kinetics of UASB reactors treating non‐inhibitory substrate

Contact Info

Product

Resources

About