An integral dynamic model for the UASB reactor

Bolle, W. L.; Breugel, J. Van; Eybergen, G. C. van; Kossen, N. W. F.; Gils, W. van

doi:10.1002/bit.260281106

Cited by 65 publications

(65 citation statements)

References 5 publications

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“…4 In the present work, a similar approach is adopted and the settler compartment is assumed as a subsequent plug flow reactor to the ISC model in series.…”

Section: Model Development Hydraulic Modelmentioning

confidence: 99%

“…An increasing-sized CSTRs (ISC) model was established to describe the dispersion feature of the UASB reactor. Experimental results from both laboratory-scale H 2 -producing and full-scale CH 4 -producting UASB reactors were employed to validate the established mode. Moreover, a 3-D unsteady CFD model simulation was performed to visualize the phase holdup and flow patterns in the reactors.…”

Section: Introductionmentioning

confidence: 99%

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Hydrodynamics of upflow anaerobic sludge blanket reactors

Ren

et al. 2008

AIChE Journal

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in Wiley InterScience (www.interscience.wiley.com).The hydrodynamic characteristics of upflow anaerobic sludge blanket (UASB) reactors were investigated in this study. A UASB reactor was visualized as being set-up of a number of continuously stirred tank reactors (CSTRs) in series. An increasing-sized CSTRs (ISC) model was developed to describe the hydrodynamics of such a bioreactor. The gradually increasing tank size in the ISC model implies that the dispersion coefficient decreased along the axial of the UASB reactor and that its hydrodynamic behavior was basically dispersion-controlled. Experimental results from both laboratoryscale H 2 -producing and full-scale CH 4 -producing UASB reactors were used to validate this model. Simulation results demonstrate that the ISC model was better than the other models in describing the hydrodynamics of the UASB reactors. Moreover, a three-dimensional computational fluid dynamics (CFD) simulation was performed with an Eulerian-Eulerian three-phase-fluid approach to visualize the phase holdup and to explore the flow patterns in UASB reactors. The results from the CFD simulation were comparable with those of the ISC model predictions in terms of the flow patterns and dead zone fractions. The simulation results about the flow field further confirm the discontinuity in the mixing behaviors throughout a UASB reactor. American Institute of Chemical Engineers AIChE J, 55: 516-528, 2009

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“…4 In the present work, a similar approach is adopted and the settler compartment is assumed as a subsequent plug flow reactor to the ISC model in series.…”

Section: Model Development Hydraulic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hydrodynamics of upflow anaerobic sludge blanket reactors

Ren

et al. 2008

AIChE Journal

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“…Inlet pH was in the range of 6.2-7.6 and the outlet pH the reactor was in the range of 7.4-7.98 for various concentration of 2-CP. When the pH is less than 6.0 consumption of fatty acid is strongly inhibited and when pH is greater than 8.0, bacterial growth will be limited by low concentrations of non-ionised fatty acid [12]. The generally accepted pH range for optimal efficiency was 6.5-7.6 [13].…”

Section: Phmentioning

confidence: 99%

Biomineralization of 2-Chlorophenol in an UASB Reactor with Starch Water as co-substrate

Sivarajan¹,

Arutchelvan²,

Nagarajan³

2017

IJERT

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Chlorophenol compounds are environmental pollutants that are both anthropogenic and xenobiotics. Some of these chemicals are carcinogenic and toxic to a number biochemical processes. The present research aims at 2-CP degradation in a UASB reactor with starch water as cosubstrate. Synthetic 2-CP and starch water were given as feed to UASB reactor at an HRT of 24 h. The performance of the reactor was remarkably stable and efficient during 2-CP additions at a range of 5-800 mgL -1 . The reduction of 2-CP and COD was found to be 100-67.9 and 98.1-59.3% respectively. The optimum 2-CP and COD removal efficiencies were 97.5 and 90.4%. The VFA concentrations of the reactor were lesser than 250 mgL -1 . The biogas production at 600 mgL -1 of 2-CP was 20 Ld -1 .

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“…tal como se reportó en un lecho fluidizado (Kim y Kim, 1983), en un RAFA a escala real (Peña et al, 2006) y a escala de laboratorio (Morgan et al, 1997). Por lo anterior se puede concluir que en la zona del lecho y manto de lodo, el reactor describió un comportamiento de mezcla completa y a nivel general registró flujo disperso .al igual que varias investigaciones (Heertjes y Van der Meer, 1978;Bolle, 1986;Avella, 2001;Zeng et al, 2005;Ren et al, 2008). Cuando se evalúa el patrón de flujo se determinan sus fracciones: pistón, mezclada y zonas muertas (Ren et al, 2008), el cual fue determinado en esta investigación, pero no es objeto de ésta publicación.…”

Section: Ajuste De Los Datos Experimentales Al Modelo De Dispersión Punclassified

Modelo de Dispersión Axial para Sistemas de Flujo Continuo Ajustado a las Condiciones de Borde

2016

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ResumenSe desarrolló un modelo matemático a partir de la ecuación general de dispersión y se comparó con tres modelos tradicionales. Para obtener los datos experimentales se realizaron ensayos hidráulicos utilizando litio como trazador agregado de forma puntual en el influente de un Reactor Anaerobio de Flujo Ascendente de 518 litros, alimentado con agua residual de la ciudad de Maracaibo-Venezuela a tiempos de retención hidráulico teórico de 10, 8, 5 y 4 horas. Se tomó muestras en el efluente y al final del lecho y manto de lodo. Los mejores ajustes se lograron con el modelo propuesto con desviación media absoluta entre 5 y 33% y desviación media relativa entre -1,7 y -18%. En todos los casos, el número de dispersión fue mayor a 0.01 indicando que no existió flujo pistón en el reactor. Palabras clave: dispersión axial; modelo; trazador; inyección puntual; reactor de flujo ascendente Axial Dispersion Model for Continuous Flow Systems Adjusted Boundary Conditions AbstractIn this study a mathematical model was developed from a general dispersion equation, which was compared with three traditional models. Tracer tests were carried injected lithium as a pulse at the reactor influent. Several samples were collected in an Upflow Anaerobic Sludge Bed reactor o 518 liters to obtain the experimental data. The reactor was feeding from municipal wastewater of Maracaibo city, Venezuela. Several theoretical retention times were evaluated between 4, 5, 8 and 10 hours. Samples were taken at the final effluent and at the end of the sludge blanket and bed level. Best fits were obtained with the proposed model giving absolute mean deviation between 5.0 and 33% and relative mean deviation between -1.7 and -18%. In most of the studies the dispersion number was lower than 0.01 concluding that plug flow did not exist in the reactor.

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An integral dynamic model for the UASB reactor

Cited by 65 publications

References 5 publications

Hydrodynamics of upflow anaerobic sludge blanket reactors

Hydrodynamics of upflow anaerobic sludge blanket reactors

Biomineralization of 2-Chlorophenol in an UASB Reactor with Starch Water as co-substrate

Modelo de Dispersión Axial para Sistemas de Flujo Continuo Ajustado a las Condiciones de Borde

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