Correlation of phase‐separation data for coal‐conversion systems

Watanasiri, Suphat; Brule, M.R.; Starling, K.E.

doi:10.1002/aic.690280415

Cited by 14 publications

(2 citation statements)

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“…The application of these petroleum-based correlations, however, often leads to unacceptable errors because of the extreme conditions and much higher aromatic content of the coal liquids. This has led to several attempts to develop specific correlations for coal liquids [1][2][3]. These studies have revealed a need for more experimental data on model coal compounds and their mixtures.…”

Section: Introducfionmentioning

confidence: 99%

High Pressure Densities of Mixtures of Coal Chemicals

Siddiqi

Teja

1988

Chemical Engineering Communications

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Section: Introducfionmentioning

confidence: 99%

High Pressure Densities of Mixtures of Coal Chemicals

Siddiqi

Teja

1988

Chemical Engineering Communications

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“…These parameters are generally developed in-house or collected from various literature sources (e.g., [22,23,25,26]). The efforts to develop binary interaction parameters in-house are very significant.…”

Section: Thermophysical Property Data and Process Simulationmentioning

confidence: 99%

Development of on-demand critically evaluated thermophysical properties data in process simulation

Watanasiri

2011

Pure and Applied Chemistry

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Accurate thermophysical properties are essential to the development of high-quality process simulation models of chemical processes. Therefore, process-modeling software (simulator) must provide accurate, reliable, and easily accessible property data and models to enable efficient and robust process design. Property data and parameters for components of interest are generally available in the databases of the simulator. For components that are not in the databases, their property data must be supplied by the user. The number of components available in a typical simulator is about 1700. The number and types of components available in the simulator limit the scope and accuracy of process models that can be developed.In this paper, we review past practice in obtaining the necessary property data required in developing a process model and describe a new methodology that can be used to overcome the shortcomings of the current method. The new method is based on the dynamic data evaluation concept that combines the experimental data obtained from a comprehensive electronic database with structure-based property estimation system and data analysis and regression programs to generate critically evaluated property data. The concept and necessary software have been implemented in a process simulator, resulting in a new workflow that enables high-fidelity process models to be developed more easily and efficiently. Fig. 1 Effect of error in relative volatility on the minimum number of stages for a distillation column required to achieve a desired separation of a close boiling mixture (with baseline relative volatility = 1.10). Adapted from [6].

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Multiparameter corresponding‐states correlation of coal‐fluid thermodynamic properties

et al. 1982

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Sd Sd T Tb T , = wall temperature i;b ui 3 U , = centrifugal source term in i momentum equation, i = r , = viscous source term in i momentum equation, i = r , 6 = temperature of the fluid = bulk temperature of the fluid = dimensionless temperature, Eq. 24 = dimensionless form of Tb = velocity in i direction, i = r , 0, 4 = average velocity in 4 direction = dimensionless form of Z I~ 0 -Greek Letters 7 = dimensionless radial coordinate, r/d 6 = angular coordinate, Figure 1 /.t = apparent viscosity, Eq. 13 &,f = reference viscosity, Eq. 15 p = density of the fluid 4 = axial coordinate, Figure 1 LITERATURE CITEDA multiparameter corresponding-states correlation has been developed to describe fossil-fluid thermodynamic properties needed to design fluid-flow, heat-exchange, and other unit operations in coal-liquefaction plants. Three equation-of-state parameters, a molecular-size/separation parameter, a molecularenergy parameter, and a molecular-orientation parameter are used to characterize nonpolar and slightly polar aromatic hydrocarbons. A conformal-solution model is developed for predicting thermodynamic properties of coalderived mixtures. SCOPEThe objective of this work was to develop first-generation methodologies for predicting thermodynamic properties of coal-derived fluids using current equation-of-state technology.Previously, most equations of state could not be applied directly to coal fluids. A corresponding-states framework has been modified to rapidly develop practical properties-prediction capability for the coal pilot-and demonstrationplant programs. Correspondence concerning this p p e r should bL a d d r d to M R Brule who is prwntly with C T Lin w1 presently with Bechtel National Inc Houston TX K E Starling 15 the principal investigator ooO1 1541-82 4018 0616$2 00 0 The American Instltutr of Lhemlcal Engineers 1982 Kerr McCee Corp Oklahoma City OKThe three-parameter corresponding-states correlation presented here is shown to accurately describe the thermodynamic behavior of many pure coal chemicals and the bulk thermodynamic properties of undefined distillable coal fractions. The vapor/liquid equilibrium of both defined and complex distillable mixtures can be predicted using a conformal-solution model (Watanasiri et al., 1981).Characterization techniques are outlined for converting analyses of undefined mixtures (with composition available in terms of broad fractions) into representative pseudocomponents. Empirical correlations have been developed to estimate pseudocomponent characterization parameters and ideal-gas thermodynamic properties for use with the equation of state.

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Correlation of phase‐separation data for coal‐conversion systems

Cited by 14 publications

References 60 publications

High Pressure Densities of Mixtures of Coal Chemicals

High Pressure Densities of Mixtures of Coal Chemicals

Development of on-demand critically evaluated thermophysical properties data in process simulation

Multiparameter corresponding‐states correlation of coal‐fluid thermodynamic properties

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