Nima Shayanmehr - and Gas Center of Excellence, Department of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran
Mohsen Edalat - and Gas Center of Excellence, Department of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran

A new Monte Carlo simulation for chain molecules with the soft potential, Lennard-Jones, with novel boundary conditions is presented. The new method is more accurate in prediction PVT behavior of chain molecules in comparison with other simulations and analytical Equation of states. The accuracy of obtained data is also examined with experimental data of chain molecules with similar molecular parameters. A Configurational Biased Monte Carlo algorithm (CBMC) is developed in a new manner for hydrocarbons from C1 up toC7 and for C7 to C10 the recoil growth (RG) method is also applied to increase simulation speed.

Configurational Biased Monte Carlo; Computer Simulation; Hexagonal Cells; Linear Chain Molecules; PVT Data