An Investigation to Survey the Effect of Feed Temperature on the Performance of the Parsian Gas Refinery N2-PSA Industrial Plant

The Parsian N2-PSA industrial plant was studied numerically by mathematical modeling and numerical simulation. The model includes balances in energy, mass and momentum and thecoupled partial differential equations are solved using fully implicit finite difference scheme. In general, the PSA process performance strongly influenced by the design parameters (such as: bedsize, adsorbent physical properties, configuration and number of beds) and operational variables(such as: cycle time, flow rate, temperature and/or pressure). So, this could be achieves a maximum possible performance relate to an optimum amount of process variables. Therefore it isimportant that the behavior of the PSA operating variables were under take a review to knowingthe optimum operating conditions. The Parsian N2-PSA plant has been designed by the OXYMAT co., so the design parameters is not being considered for review in this study. In this work, we aredealing with the feed temperature and investigation of its effect on the N2 purity and recovery, which is known as a operating variable. Finally, the results of simulations show that the feed temperature near to 35 °c is well suited to N2 production in terms of its purity and recovery. In addition, as the feed temperature increases N2 productivity decreases

An Investigation to Survey the Effect of Feed Temperature on the Performance of the Parsian Gas Refinery N2-PSA Industrial Plant Keywords:

Pressure Swing Adsorption , Industrial Plant , N2 Production , Numerical Simulation , Carbon Molecular Sieve