What are the primary differences between the SRKM and SRKS methods?
For binary mixtures, the two methods are similar and of practically identical accuracy. For multicomponent mixtures, SRKM (and almost all other advanced mixing rules in the literature) is not entirely self-consistent; the small theoretical flaw does not harm the calculated results. However, SRKM may be less reliable than SRKS for very strongly non-ideal multi-component systems. SRKS is entirely self-consistent, and is preferred for multicomponent systems if the binary parameters are available. However, because SRKS is a more complicated mixing rule, it will require greater CPU time to solve than SRKM. See the Reference Manual for more details.
As always, feel free to reach out to your local technical support team for more information.
For binary mixtures, the two methods are similar and of practically identical accuracy. For multicomponent mixtures, SRKM (and almost all other advanced mixing rules in the literature) is not entirely self-consistent; the small theoretical flaw does not harm the calculated results. However, SRKM may be less reliable than SRKS for very strongly non-ideal multi-component systems. SRKS is entirely self-consistent, and is preferred for multicomponent systems if the binary parameters are available. However, because SRKS is a more complicated mixing rule, it will require greater CPU time to solve than SRKM. See the Reference Manual for more details.
As always, feel free to reach out to your local technical support team for more information.
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