Addition of the Nitrogen Group to the PPR78 Model (Predictive 1978, Peng Robinson EOS with Temperature-Dependent kij Calculated through a Group Contribution Method)
Добавление азотной группы в модель PPR78 (Predictive 1978, уравнение состояния Пенга–Робинсона с температурнозависимым kij, рассчитанным методом групповых вкладов)
2008-02-27
SCID: 54.1/g6g9ktpk
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PPR78Peng–Robinson EOSgroup contribution methodnitrogen (N2) grouptemperature-dependent kij
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Abstract (AI)
In 2004, we started to develop 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 (EOS). This model was called PPR78 (predictive 1978, Peng Robinson EOS), because it relies on the Peng−Robinson EOS as published by Peng and Robinson in 1978 and because the addition of a group contribution method to estimate the k ij value makes it predictive. In our previous papers, 12 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 = C cyclic, and CO 2 . Thus, it was possible to estimate the k ij value for any mixture that contains alkanes, aromatics, naphthenes, and CO 2, regardless of the temperature. In this study, the PPR78 model is extended to systems that contain nitrogen. To do so, the group N 2 was added.
Key Findings
1
A new group, N2, was added to the original set of 12 groups to enable kij estimation for mixtures that contain nitrogen.
2
Previously defined groups allowed predictive kij estimation for alkanes, aromatics, naphthenes, and CO2 at any temperature; the extension preserves this predictive capability while covering nitrogen.
3
The PPR78 group contribution method for estimating temperature-dependent binary interaction parameters kij(T) of the Peng–Robinson EOS has been extended to include nitrogen-containing systems.
4
The extended PPR78 model now permits estimation of temperature-dependent kij values for any mixture including alkanes, aromatics, naphthenes, CO2, and nitrogen without additional experimental fitting.
Research Object
PPR78 model extended by adding the N2 group for temperature-dependent binary interaction parameter (kij(T)) prediction in the Peng–Robinson EOS
Research Subject
Estimation/prediction of temperature-dependent binary interaction parameters kij(T) for mixtures containing nitrogen using a group contribution method within the PPR78 (Peng–Robinson EOS) framework
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2008-02-27
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