CFD optimization of continuous stirred-tank (CSTR) reactor for biohydrogen production

Ding, Jie; Wang, Xu; Zhou, Xuefei; Ren, Nan-Qi; Guo, Wei

doi:10.1016/j.biortech.2010.03.146

Cited by 171 publications

(74 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Figure 6(b) shows that small bubbles exist in the impeller outflow region. A previous study (Ding et al, 2010) has found that impellers generate high turbulent kinetic energy. Hence, bubbles can easily break and transfer in the outlet of the impeller region.…”

Section: Bubble Sizementioning

confidence: 93%

Simulation of the Bubble Behaviors for Gas–Liquid Dispersion in Agitated Vessel

Liu

Sheng

Han

et al. 2017

J. Chem. Eng. Japan / JCEJ

View full text Add to dashboard Cite

The present study mainly investigates bubble behaviors in an agitated vessel. Computational uid dynamics provides a method for exploring the complex uid ow in an agitated vessel. A stirred tank model with transport equation for the interfacial area concentration and force equilibrium equation for bubbles under multi-forces is created for a 43-dm 3 agitated vessel. The model considers the breakage and coalescence mechanism of the bubbles. The local gas holdup is measured by ber-optical probe. After this, the bubble size distributions are calculated by the interfacial area concentration model. The simulations with validated models show good agreement with the experiments. From the simulation results, the area in which the gas holdup value is greater than 0.01 extends 37% in the upper circulation region when the rotation speed is increased to 40 rad/s from 20 rad/s. However, in the lower circulation, the gas holdup maintains a low level due to the existence of a "death zone". The simulations indicate that the bubble breakage mainly occurs in the impeller out ow region and the coalescence occurs in the upper circulation region. For bubble behaviors being in the lower circulation region, bubble coalescence or breakage is determined by the ow eld pattern in the vessel. Moreover, it is di cult for the simulation process to converge when the virtual mass force is considered and there is a lack of effective technology to measure it, which has led researchers to generally ignore this force. In order to analyze the virtual mass force, the present study utilizes computer programming which is based on the virtual mass force formula to obtain the force. The results show that at positions close to the impeller tip and the center of the upper region, the virtual mass force value is 0.015 and 0.017, respectively, but the value is approximately zero in the bulk of the tank. Hence, the bubble has two signi cant stages of acceleration process in the vessel.

show abstract

Section: Bubble Sizementioning

confidence: 93%

Simulation of the Bubble Behaviors for Gas–Liquid Dispersion in Agitated Vessel

Liu

Sheng

Han

et al. 2017

J. Chem. Eng. Japan / JCEJ

View full text Add to dashboard Cite

show abstract

“…The advancement of computer performance in the last decades has enabled the prediction of flow fields and improved mixing performance in anaerobic digesters. Ding et al (2010) presented three-dimensional CFD simulations of a gas-liquid two-phase flow agitated by a mechanical impeller in a lab-scale continuous stirred-tank reactor (CSTR) for biohydrogen production. It has been shown that the impeller type and speed significantly affect flow patterns: the relation between hydrodynamics and biohydrogen production indicated that an impeller operating at speeds between 50 and 70 rpm provided better reactor performance.…”

Section: Introductionmentioning

confidence: 99%

“…It has been shown that the impeller type and speed significantly affect flow patterns: the relation between hydrodynamics and biohydrogen production indicated that an impeller operating at speeds between 50 and 70 rpm provided better reactor performance. Wang et al (2010) introduced the CFD methodology developed by Ding et al (2010) into the investigation of scale-up mechanisms for the CSTR, and indicated that parameters such as velocity field and stagnation zone needed to be optimized in industrial-scale reactors. Yu et al (2013) associated the multi-fluid model with the Kinetic Theory of Granular Flow (KTGF) and Anaerobic Digestion Model no.1 (ADM1) to improve the performance of an anaerobic digester, where settling and suspension are very important phenomena to retain biomass.…”

Section: Introductionmentioning

confidence: 99%

Effect of internal recirculation velocity in an anaerobic sequencing batch reactor (ASBR)

Maurina

Rosa

Beal

et al. 2014

Braz. J. Chem. Eng.

View full text Add to dashboard Cite

-This paper discusses the effect of different internal recirculation velocities on the mixture and shear stress on the flocs in an anaerobic sequencing batch reactor (ASBR). Thus, simulations are performed using a computational fluid dynamics (CFD) tool to evaluate this dependency. The analysis of velocities and turbulent kinetic energy indicates that the highest flow evaluated (0.003 m³/s) results in better mixing within the reactor. However, care must be taken with the recycling pipe size, in order to maintain the shear stress inside the range of optimal values.

show abstract

Section: Introductionunclassified

“…Ding et al (2010) presentaron simulaciones tridimensionales en CFD de un flujo gas-líquido y agitado por un impulsor mecánico en un Reactor Continuo de Tanque Agitado (CSTR) utilizado para la producción de hidrógeno. Wang et al (2010) utilizaron la metodología CFD desarrollada por Ding et al (2010) en la investigación de los mecanismos para ampliación de tamaño de los CSTRs, e indicaron que parámetros como el campo de velocidad y zonas de estancamiento necesitan ser mejorados para lograr la escala industrial. Yu et al (2013) asociaron el modelo de fluidos múltiples con la Teoría Cinética del Flujo Granular (KTGF) y el Modelo de Digestión Anaeróbica Nº 1 (ADM1) para mejorar el rendimiento de un digestor anaerobio, para el cual la sedimentación es un fenómeno muy importante para retener la biomasa.…”

Section: Introductionunclassified

Simulación de un Reactor Anaerobio Discontinuo utilizado para la Producción de Hidrógeno mediante Dinámica de Fluidos Computacional

et al. 2014

View full text Add to dashboard Cite

ResumenSe ha evaluado el comportamiento hidrodinámico de un reactor de fermentación anaerobia a través de simulaciones numéricas tridimensionales, usando Dinámica de Fluidos Computacional con el software OpenFOAM ® . Se evaluaron dos condiciones de funcionamiento: una con régimen de circulación hacia abajo y otra en la dirección opuesta. Se consideró un modelo bifásico, transitorio y turbulento. Los resultados obtenidos con flujo de recirculación hacia arriba indican una optimización del proceso con este régimen. Esto implica una mayor porción turbulenta en el interior del biorreactor y una mejor mezcla sin comprometer la integridad de los gránulos. Palabras clave: dinámica de fluidos computacional (CFD), reactor anaerobio discontinuo (ASBR), hidrógeno, comportamiento hidrodinámico Simulation of an Anaerobic Sequencing batch Reactor for Hydrogen Production using Computational Fluid Dynamics AbstractThe fluid dynamic behavior of an anaerobic fermentation bioreactor through three-dimensional numerical simulations using Computational Fluid Dynamics with the software OpenFOAM ® has been studied. Two operating conditions were evaluated: one with a downward recirculating regime and another in the opposite direction. Results obtained with upward recirculating flow indicate an optimization of the process in this regime. This implies a larger turbulent region in the bioreactor and a better mixing without compromising the integrity of the flocs

show abstract

CFD optimization of continuous stirred-tank (CSTR) reactor for biohydrogen production

Cited by 171 publications

References 33 publications

Simulation of the Bubble Behaviors for Gas–Liquid Dispersion in Agitated Vessel

Simulation of the Bubble Behaviors for Gas–Liquid Dispersion in Agitated Vessel

Effect of internal recirculation velocity in an anaerobic sequencing batch reactor (ASBR)

Simulación de un Reactor Anaerobio Discontinuo utilizado para la Producción de Hidrógeno mediante Dinámica de Fluidos Computacional

Contact Info

Product

Resources

About