Equation of state and radial distribution functions of FCC particles in a CFB

Gidaspow, Dimitri; Lu, Huilin

doi:10.1002/aic.690440207

Cited by 144 publications

(110 citation statements)

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“…It is reasonable to use the assumption that the y-direction (lateral) variance equals the z-direction (depth) variance, described earlier by Gidaspow and Huilin (1998a) for a riser, since the variance in the two directions is same for an emulsion phase and the variances in y-direction are small compared to x-direction (vertical) for a bubble phase.…”

Section: Particlementioning

confidence: 99%

“…with the increase of solids volume fraction. As pointed out in riser by and Gidaspow and Huilin (1998a), this can be explained by kinetic theory of granular flow. The granular temperature rises as the two-thirds power of solids volume fraction due to the compression effect in kinetic flow regime, dilute flow regime.…”

Section: Particle Elutriationmentioning

confidence: 99%

“…The standard deviation of the axial solids velocity for a bubble phase is four times higher than that of the radial solids velocity of 5.42 cm/sec. It is reasonable to use the assumption that the y-direction (radial) variance equals the z-direction (depth) variance, described earlier by Gidaspow and Huilin (1998) for riser, since the variance in the two directions is same for an emulsion phase and the variance in y-direction are small compared to x-direction (vertical) for a bubble phase. Hence the granular temperature is related to the variances by means of the following relation.…”

Section: Experimental Overview Experimental Setup and Proceduresmentioning

confidence: 99%

“…The volumetric mass transfer coefficients are less than 1.0 sec -1 . The granular temperature can be obtained from the variances of the instantaneous particle velocities measured by a CCD camera method (Bahary, 1994;1998a). Joshi et al (2002) reviewed the flow patterns in bubble columns with a focus on the churn-turbulent regime.…”

Section: Introductionmentioning

confidence: 99%

“…al, 4.2 1999). The granular temperature can be obtained from the variances of the instantaneous particle velocities measured by a CCD camera method 1998a) or an acoustic shot noise method with a vibration meter. Campbell and Wang (1991) and Polasenski andchen (1997, 1999) measured particle pressures using the particle pressure transducer.…”

Section: Introductionmentioning

confidence: 99%

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2 methane on the coal surfaces that may otherwise stay adsorbed in the coal matrix by decreasing the partial pressure of methane in the gas mixture. In addition, experimental work conducted on enhanced coalbed methane recovery by CO 2 injection [Reznik et al, 1984] shows that CO 2 is more adsorbing on coal than methane thereby giving it the potential to efficiently displace CBM and remain sequestered in the coal-seam. Thus coal-seams are considered to offer a very attractive option for CO 2 sequestration.In this work, focus is on the final part of the sequestration process -storage. The effects of various coal properties as well as operational scenarios on the injection and storage of CO 2 into a given coal-seam are analyzed. The analyses are based on results obtained from PSU-COALCOMP, a compositional coalbed methane numerical reservoir simulator capable of modeling the primary and enhanced recovery of coalbed methane.The operational design parameters considered in this study include the type, length and orientation of the injectors/producers while the coal-seam properties studied include coal porosity, coal permeability, cleat spacing, sorption capacity, and the initial conditions of the coal-seam -the reservoir pressure, adsorbed gas composition, amount of CO 2 initially adsorbed, water saturation and free-gas composition.Based on the data, results and analyses obtained, a CO 2 sequestration performance predictor tool is developed using artificial neural network (ANN) technology. The developed network will be able to predict the values of the performance indicators of the CO 2 sequestration process for a wide range of coal-seams and various production schemes. The developed ANN would also enhance our understanding of CO 2 sequestration process. 3 CHAPTER 2 LITERATURE REVIEW Carbon Dioxide SequestrationThe amount of carbon dioxide (CO 2 ) in the atmosphere has risen from preindustrial levels and most of this increase has been in recent years as shown in the data presented graphically in Figure 2-1. The corresponding increase in temperature as CO 2 levels increase raises environmental concerns such as global warming and its effects.This increase in CO 2 levels is attributed widely to the burning of fossil fuels, and if current trends in resource utilization continue, anthropogenic CO 2 emissions will increase rapidly during the 21 st century. Figure 2-2 shows the sharp increase in global CO 2 emissions over the last 100 years.The term "CO 2 sequestration" refers to the removal of CO 2 from either manmade emissions or the atmosphere and the safe, essentially permanent storage of this CO 2 .There are two main types of sequestration: direct sequestration, where CO 2 is removed from energy systems, and indirect sequestration, where CO 2 is removed from the ambient atmosphe re by enhanced natural processes. Sequestration is one of the three options for stabilizing CO 2 concentrations in the atmosphere and until the late 1990's, was not yet in the scientific lexicon. It is less familiar to the public at large than...

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Section: Particlementioning

confidence: 99%

Section: Particle Elutriationmentioning

confidence: 99%

Section: Experimental Overview Experimental Setup and Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Measurement of granular temperature and stresses in risers

2004

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Wave propagation and granular temperature in fluidized beds of nanoparticles

Driscoll

Gidaspow

2007

AIChE Journal

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in Wiley InterScience (www.interscience.wiley.com).The speeds of motion of compression waves through a fluidized bed of 10 nm silica particles were determined by measuring the times of arrival of compression zones using a light probe. A correlation for the modulus of elasticity was determined as a function of void fraction. Using a kinetic theory type equation of state for particles, this experimentally determined modulus gives a value for the granular temperature for 10 nm particles of approximately one (meter per second) squared. This value is close to that obtained by assuming the motion of the 10 nm particles to be due to collision with air molecules with no energy dissipation. The values of the granular temperature were also determined in a two-dimensional (2-D) fluidized bed by measuring the volume fraction distributions of 10 nm silica particles. Granular temperatures were deduced from a one-dimensional particle momentum balance using an ideal equation of state for particles, which is similar to the barometric formula for gases. These granular temperatures agreed with the measurements obtained from wave propagation experiments.

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Equation of state and radial distribution functions of FCC particles in a CFB

Cited by 144 publications

References 60 publications

University/NETL Student Partnership Program

University/NETL Student Partnership Program

Measurement of granular temperature and stresses in risers

Wave propagation and granular temperature in fluidized beds of nanoparticles

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