2016
DOI: 10.1016/j.fluid.2015.08.011
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Modeling derivative properties and binary mixtures with CO2 using the CPA and the quadrupolar CPA equations of state

Abstract: The cubic plus association (CPA) equation of state (EoS) is extended to include quadrupolar interactions. The quadrupolar term is based on a modification of the perturbation terms by Larsen et al. (Mol. Phys. 1977, 33, 4, 987) for a hard sphere fluid with a symmetric point quadrupole moment. The new quadrupolar CPA (qCPA) can be used without introducing any additional pure compound parameters. Alternatively a single additional adjustable parameter can be employed.To evaluate qCPA several pure compound prope… Show more

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Cited by 37 publications
(26 citation statements)
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“…We note that, as expected from the work of Tsivintzelis et al [28] and Bjørner and Kontogeorgis [33], excellent agreement to saturated vapor pressures and It can be seen from table 3 that small confidence intervals are obtained as well as low correlations between b 0 and both Γ and c 1 for approach E. A Table 2: Correlated pure compound parameters and %AADs in saturated liquid density and saturated pressure for CO 2 with the CPA EoS (Approaches A-D) and the qCPA (Approaches E-F). The parameters are correlated in the temperature range Tr = 0.7 − 0.9.…”
Section: Least Squares Estimationsupporting
confidence: 89%
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“…We note that, as expected from the work of Tsivintzelis et al [28] and Bjørner and Kontogeorgis [33], excellent agreement to saturated vapor pressures and It can be seen from table 3 that small confidence intervals are obtained as well as low correlations between b 0 and both Γ and c 1 for approach E. A Table 2: Correlated pure compound parameters and %AADs in saturated liquid density and saturated pressure for CO 2 with the CPA EoS (Approaches A-D) and the qCPA (Approaches E-F). The parameters are correlated in the temperature range Tr = 0.7 − 0.9.…”
Section: Least Squares Estimationsupporting
confidence: 89%
“…Each subsample is subsequently used to calculate output properties of interest. It is assumed that the error distribution of the input parameters follow the kernel distribution obtained from bootstrapping, although It is well-known that the isochoric heat capacity is a challenging property to predict even with modern equations of state [33,56]. It is believed that this is primarily due to structural issues with the temperature dependence of the for approach D, smaller, but still present, for approaches E and F and almost non-existent for approach A.…”
Section: Propagation Of Parameter Estimation Errors To Property Predimentioning
confidence: 99%
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