The estimation of the vapor pressure for pure substances

Winyu Nuansuwan, Satok Chaikunchuensakun

Abstract


Vapor pressure and normal boiling point are importance properties to design unit equipment. Normally, these properties are taken from an experimental data but experimental measurements are often expensive and some substances are a health hazardous substance. Group contribution method and COSMO-SAC model are alternative methods to determine the normal boiling point temperature and the vapor pressure. The group contribution method uses only knowledge of molecule structure to determine vapor pressure. Similarly, COSMO-SAC model using two parameters for input in model which are sigma profile and molar volume of each substance. Therefore, the purpose of this research was to investigate an accuracy and to determine the optimal estimation method for n-alkanes , 1-alkenes , alkyne , alcohol , aldehyde and ketone. This research compared the estimated values (the normal boiling point , Tb and the vapor pressure at 298.15 Kelvin, P@298.15K) with the experimental data by calculating coefficience of determination (R2) and average absolute deviation relation (ADDR). The result showed that the group contribution method was accurate to estimate Tb (R2= 0.9949, AADR= 0.0152) and P@298.15K (R2= 0.9890, AADR= 0.3770) for six groups. The COSMO-SAC model is accurate to estimate Tb (0.9887, AADR = 0.0249) and P@298.15K (R2= 0.9906, AADR= 0.5493) for six groups. Due to the accuracy of estimation, the group contribution and the COSMO-SAC model in which using the different estimated techniques could calculate the vapor pressure to ensure the estimated vapor pressure without doing the experiment. To accurately estimate these properties in other groups, the parameter of COSMO-SAC model should be modified.

Keywords


Vapor pressure , Group contribution method , COSMO-SAC model

Full Text:

PDF_32-39

References


Bruce E. Poling, J. M. Prausnitz, John Paul

O'Connell (2004). The Properties

of Gases and liquids. (5th ed.).

McGraw-Hill.

ChemicalBook Inc. (2016). Molecular

Structure. ค้นเมื่อ 20 กันยายน 2559

จ า ก http://www.chemicalbook

.com /ProductIndex_EN.aspx.

Constantinou, L., Gani, R. (1994). New

Group-Contribution Method for

Estimating Properties of Pure

Compounds. AIChE J., 40, 1697.

Cordes, W., Rarey, J. (2002). A New

Method for the Estimation of the

Normal Boiling Point of Non -

Electrolyte Organic Compounds.

Fluid Phase Equilib, (201), 409-

Joback, K. G., Reid, R. C. (1987). Estimation

of Pure-Component Properties from

Group-Contributions. Chem. Eng.

Commun., (57), 233-243.

Lide, D. R., et al. (2005). CRC Handbook

of Chemistry and Physics. New

York: CRC Press.

Lin, S. T. (2006). Thermodynamic equation of

state from molecular solvent. Fluid

Phase Equilib, 245, 185-192.

Mullins, E., et al. (2006). Sigma-Profile

Database for Using COSMO-based

Thermodynamic Methods. Ind. Eng.

Chem Research, 45, 4389-4415.

Nannoolal, Y., et al, (2006). Estimation of

pure component properties Part 1.

Estimation of the normal boiling

point of non-electrolyte organic

compounds via group contributions

and group interactions. Fluid

Phase Equilibria, 226, 45–63.

Nannoolal, Y., et al. (2008). Estimation of

pure component properties Part 3.

Estimation of the vapor pressure of

non-electrolyte organic compounds

via group contributions and group

interactions. Fluid Phase Equilibria,

, 117–133.

Stein, S. E., Brown, R. L. (1994). Estimation

of Normal Boiling Points from

Group Contributions. J. Chem. Inf.

Comput. Sci., 34, 581-587.

Wang, S., et al. (2006). Application of the

COSMO-SAC-BP Solvation Model to

Predictions of Normal Boiling

Temperatures for Environmentally

Significant Substances. Ind. Eng.

Chem. Res, 45, 5426-5434.

Wang, S., et al. (2007). Refinement of

COSMO-SAC and the applications.

Ind. ENG. Chem. Res, 46, 7275-


Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 วารสารวิชาการเทคโนโลยีอุตสาหกรรม : มหาวิทยาลัยราชภัฏสวนสุนันทา The Journal of Industrial Technology

Faculty of Industrial Technology Suan Sunandha Rajabhat University 1 U-tongnok Dusit Bangkok 10300  Tel. 66 2160 1438#22  E-mail. fit@ssru.ac.th