2008
DOI: 10.1021/ie800799z
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Addition of the Hydrogen Sulfide Group to the PPR78 Model (Predictive 1978, Peng–Robinson Equation of State with Temperature Dependent kij Calculated through a Group Contribution Method)

Abstract: In 2004, we started to develop the PPR78 model which is a group contribution method aimed at estimating the temperature dependent binary interaction parameters (k ij (T)) for the widely used Peng-Robinson equation of state. In our previous papers, 13 groups were defined: CH 3 , CH 2 , CH, C, CH 4 (methane), C 2 H 6 (ethane), CH aro , C aro , C fused_aromatic_rings , CH 2,cyclic , CH cyclic or C cyclic , CO 2 , and N 2 . It was thus possible to estimate the k ij for any mixture containing alkanes, aromatics, na… Show more

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Cited by 79 publications
(50 citation statements)
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“…Moreover we have used the PPR78 predictive model form Privat et al [12]. The prediction is very good and so confirms the high quality of the data.…”
Section: /23supporting
confidence: 52%
See 1 more Smart Citation
“…Moreover we have used the PPR78 predictive model form Privat et al [12]. The prediction is very good and so confirms the high quality of the data.…”
Section: /23supporting
confidence: 52%
“…Symbols = experimental data. Table 2: Critical parameters and acentric factors for hydrogen sulphide and methane [12] from DIPPR database For pressure lower than 10 MPa, u(P, k=2) = 0.0025 MPa and for pressure greater than 10…”
Section: Resultsmentioning
confidence: 99%
“…In addition, using the previously mentioned mathematical equation relating k PR ij and k SRK ij , the PPR78 model [3][4][5][6][7][8][9][10][11][12][13][14][15][16] which may be seen as a group contribution method for the estimation of the temperature-dependent BIPs of the widely spread PR-EoS, was used to generate k ij for the SRK EoS. It is shown how the group interaction parameters initially determined for the PR-EoS [3][4][5][6][7][8][9] can be simply used to predict the temperature-dependent BIPs for the SRK EoS.…”
Section: Introductionmentioning
confidence: 99%
“…The group-contribution (GC) approach is a relatively recent concept [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] which originally aimed at predicting the physical properties of pure molecules starting from their chemical structures. The application of the GC concept to mixtures is actually an extension of the GC concept for single molecules [3,18].…”
Section: General Aspectsmentioning
confidence: 99%