November 22, 2024
Amir Abbas Izadpanah

Amir Abbas Izadpanah

Academic Rank: Associate professor
Address: -
Degree: Ph.D in -
Phone: -
Faculty: Faculty of Petroleum, Gas and Petrochemical Engineering

Research

Title
Using the attractive term of the equation of state (PHCT) instead of the dispersion in the equation of state (PC-SAFT-D) to predict the properties of pure components and mixture
Type Thesis
Keywords
مدل سازي، تعادل بخار و مايع، معادله حالت PHCT-SAFT-D، پارامتر برهمكنش دو جزئي، عبارت جاذبه modelling, vapour - liquid equilibria, Equation of state (PHCT-SAFT-D) Binary interaction parameters, Attractive term
Researchers Amir Abbas Izadpanah (Primary advisor) , Shahriar Osfouri (Advisor)

Abstract

In this study, the dispersion term of perturbation hard chain theory (PHCT) presented by Nasrifar and Jalali is used instead of dispersion term in the perturbed chain statistical association fluid theory dimmer (PC-SAFT-D). The parameters of this equation of state were obtained for alkanes from methane to eicosane, nitrogen, carbon dioxide and hydrogen sulfide. The average absolute deviation in vapor pressure and saturated liquid density obtained from this equation of state was 6.77%and 3.39%. This equation of state was developed into binary systems: hydrocarbons-hydrocarbons, nitrogen-alkanes, hydrogen sulfide-alkanes and carbon dioxide-alkanes. To describe the phase equilibrium of some binary systems, propane-decane, hydrogen sulfide-heptane, nitrogen-alkanes, propane-carbonic oxide, ethane-propane, binary interaction parameter ( kij ) is required. This parameter was calculated by fitting the equation of state to experimental vapor-liquid equilibrium data for these systems. The results of this model for hydrocarbon-hydrocarbon binary systems were compared with the PC-SAFT-D equation of state and the results showed that for light hydrocarbons it performs better than the PC-SAFT-D equation of state. Finally, the model was used to predict the dew point pressure of natural gas mixtures, and for these systems the error of model prediction was greater than the PR equation of state