Comparison of Equations of State in Thermodynamic Simulation of Multicomponent Natural Gas Using DWSIM

Penulis

  • Khairani Yulia Department of Chemical Engineering, Faculty of Industrial Technology, "Veteran" University of National Development, Yogyakarta
  • Muhammad Haviz Department of Chemical Engineering, Lampung University, Lampung, Indonesia
  • Adityas Agung Ramandani Department of Chemical Engineering and Materials Science, Yuan Ze University, Taiwan

DOI:

https://doi.org/10.22437/j-bigme.v6i3.56283

Kata Kunci:

DWSIM, Equation of State, natural gas, Peng-Robinson, thermodynamic simulation

Abstrak

The selection of a thermodynamic property package strongly affects the prediction of fluid properties in process simulation, particularly for non-ideal multicomponent natural gas systems. This study evaluates the influence of pressure on the compressibility factor (Z), density, heat capacity (Cp), and molar enthalpy of a natural gas mixture using several equations of state (EOS) in DWSIM. The gas mixture consisted of methane (CH4), carbon dioxide (CO2), ethane (C2H6), and nitrogen (N2), simulated at 25 °C with pressure variations from 1 to 50 atm. An initial evaluation was performed on several DWSIM property packages to identify stable and relevant models. The analysis focused on five EOS models: Peng-Robinson (PR), Soave-Redlich-Kwong (SRK), Peng-Robinson-Stryjek-Vera 2 (PRSV2-VL), Peng-Robinson/Lee-Kesler (PR/LK), and Peng-Robinson 1978 (PR78). Increasing pressure reduced Z from approximately 0.998 to 0.866 and increased density up to about 46 kg/m3. Heat capacity increased to approximately 2.22 kJ/kg.K, while molar enthalpy became more negative at high pressure. PR and PR78 produced the most consistent predictions, whereas PRSV2-VL and PR/LK showed the largest deviations in Z and molar enthalpy, respectively.

Diterbitkan

2026-06-30

Cara Mengutip

Comparison of Equations of State in Thermodynamic Simulation of Multicomponent Natural Gas Using DWSIM. (2026). Jurnal Bio-Geo Material Dan Energi, 6(3), 173-184. https://doi.org/10.22437/j-bigme.v6i3.56283

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