Estimation of the Thermodynamic Properties of Hydrocarbons Using Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) Equation of State

Engineers need the equation of states to simulate refinery processes in order to respond to their needs. In the present study the Perturbed-chain Statistical associating fluid theory (PC-SAFT) Equation of State are used to predict thermodynamic properties of hydrocarbon fluids. PC-SAFT is able to predict the thermodynamic properties of associating fluids such as hydrocarbons. The thermodynamic relationships are derived analytically with MATLAB. The numerical values of the thermodynamic properties of hydrocarbons, such as density, entropy, enthalpy, in thermal energy, heat capacity of hydrocarbons are obtained by MATLAB as well. By comparing the results with experimental results, the author found that PC-SAFT entails accurate predictions about the properties of hydrocarbons and also can predict thermodynamic properties of hydrocarbons at high pressures and low temperature. The calculated results from PC-SAFT minimum error for pure hydrocarbon and the maximum error for mixed hydrocarbons. Furthermore, the maximum calculated average absolute are 1.18% for density, 2.5% for enthalpy, 0.77% for internal energy, 3.33% for constant volume heat capacity and 4% for constant pressure heat capacity. Therefore, very low level of errors indicates the appropriateness of PC-SAFT performance to predict thermodynamic properties of materials.