Developing an internally consistent set of theoretically based prediction models for the critical constants and normal boiling point of large n-alkanes

Richard A. Messerly, Thomas A. Knotts, Neil F. Giles, W. Vincent Wilding

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The normal boiling point (Tb), critical temperature (Tc), critical pressure (Pc), critical density (ρc), and critical compressibility factor (Zc) are essential thermophysical properties for science and engineering. The long-chain-length trends for Tb, Tc, Pc, ρc, and Zc of n-alkanes are of particular interest in petrochemical industries. For these and other reasons, the Design Institute for Physical Properties database (DIPPR 801) presents new prediction models that ensure thermodynamic consistency between the critical constants and the normal boiling point. This is accomplished by evaluating the quality of available experimental data, comparing the models with simulation results, and verifying that the infinite chain-length trends are consistent with polymer theory. A crucial aspect to the goals at DIPPR 801 is to provide appropriate estimates of uncertainty. We demonstrate how molecular simulation can be useful in this regard. In summary, the goal of this work is to present internally consistent models for predicting Tb, Tc, Pc, ρc, and Zc of large n-alkanes. This study serves as an unique example of the DIPPR 801 methodology and provides a new algorithm for developing thermodynamically consistent prediction models for other families of compounds.

Original languageEnglish
Pages (from-to)104-116
Number of pages13
JournalFluid Phase Equilibria
Volume449
DOIs
StatePublished - Oct 15 2017
Externally publishedYes

Keywords

  • Data evaluation
  • Molecular simulation
  • Polymer theory
  • Thermophysical properties
  • Uncertainty

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