TY - JOUR
ID - 6705
TI - A New Piecewise EOS for Compressibility Factor Prediction Based on the M-factor Theory
JO - Iranian Journal of Chemistry and Chemical Engineering (IJCCE)
JA - IJCCE
LA - en
SN - 1021-9986
AU - Mohammadikhah, Rasool
AU - Abolghasemi, Hossein
AU - Mohebbi,, Ali
AD - Engineering and Process Development Division, Research Institute of Petroleum Industry (RIPI), Tehran, I.R. IRAN
AD - Faculty of Chemical Engineering, Tehran University, Tehran, I.R. IRAN
AD - Chemical Engineering Department, Shahid Bahonar University, Kerman, I.R. IRAN
Y1 - 2010
PY - 2010
VL - 29
IS - 2
SP - 67
EP - 84
KW - Compressibility factor
KW - EOS
KW - Isotherm
KW - M-factor
KW - Virial coefficients
DO - 10.30492/ijcce.2010.6705
N2 - In this study for the first time a new description of compressibility factor is rendered based on the virial expansion. The compressibility factor as a function of M-factor is qualitatively and quantitatively expressed. At first, we present how may the third, fourth and higher order virial coefficients be logically ignored in order to simplify the virial equation. The results show, when the compressibility factor is presented as a function of M-factor instead of pressure, an improved regression operation on experimental data is possible. Moreover, the results show the compressibility factor will not depend on kind of substance, if it is considered as a function of M-factor. Also we found that the compressibility factor can easily be estimated by a second order polynomial in respect to M-factor or in more mature form at most by a third order polynomial. The simplifying effects of M-factor to present the compressibility factor of some binary mixturesÂ are investigated. It was found that the classical mixing rules can never be applied for predicting the compressibility factor under special conditions. Also we affirm the distinct characteristics of M-factor compared to its composer parameters, qualitatively. A quantitative study on M-factor properties, which supplies a prolegomena to a new comprehensive equation of state, was accomplished as well. We find the favorable EOS is a multi-domain function estimating experimental data with high accuracy.
UR - http://www.ijcce.ac.ir/article_6705.html
L1 - http://www.ijcce.ac.ir/article_6705_d4682edd8285470e4d6f27489918a7d8.pdf
ER -