شبيه سازى و بهينه سازى سامانه هاى بازياب حرارتى و بررسى كاربرد آن در صنايع نفت، گاز و پتروشيمى

Simulation and Optimization of Thermal Regenerator Systems and its Application in Oil, Gas and Petrochemical Industries

The aims of this study are modeling and simulation of thermal regenerator systems with existing axial and radial heat dispersion assumptions simultaneously and then optimization of bed with Genetic Algorithm to achieve optimum ratio of which in this ratio pressure drop and thermal efficiency are minimum and maximum respectively. The study is done in range of Rep<300 & Rep>300. Shape of particles is sphere and Air is used as process fluid. The results of simulation investigate using axial diffusion decrease error between modeling results and experimental data. Also this study shows that using axial diffusion has effect on results accuracy in higher flow rates. In optimization section the results show that optimum ratio of is a function of flow rates which means that increase in flow rate will increase this optimum ratio. Simulations are done by programming with MATLAB software.