سال انتشار: ۱۳۸۶
محل انتشار: پنجمین کنگره بین المللی مهندسی شیمی
تعداد صفحات: ۸
Tahereh Zomorrodi Soofiani – Compute Aided Process Engineering (CAPE) lab., Chemical Engineering Department, Iran University of Science and Technology, Tehran, Iran
Houshang Koochi – Compute Aided Process Engineering (CAPE) lab., Chemical Engineering Department, Iran University of Science and Technology, Tehran, Iran
Norollah Kasiri – Compute Aided Process Engineering (CAPE) lab., Chemical Engineering Department, Iran University of Science and Technology, Tehran, Iran
Modeling and simulation have found a special position in estimating chemical and petrochemical unit performance during the last few years. The speed of studies in this field has been increased by simulating of process unit and we can therefore predict available realities in unit with the least amount of time, cost and with full safety and take advantage of consequences, for studying input feed variability, product qualification, problems resolution, optimization and unit design. In this article, with attention to importance of EDC production unit in petrochemical complexes and necessity of preparation of simulated model, studying and simulating EDC unit of Bandar Imam petrochemical was performed with PROII VIR7.1 software. The modified SRK (SOAVE-REDLICH-KWONG) equation of state was used to simulate. This equation of state handles polar-nonpolar systems well. It is also recommended for hydrocarbon and water mixtures. The modified SRK equation of state does not accurately predict liquid densities; therefore, liquid density estimations were made using Rackett correlation. This correlation was selected because of its accurate prediction of hydrocarbon liquid densities. Simulation consequences have been compared with design data and available PFD in unit. With attention to existence of little divergence between simulation and design data, we can use simulation consequences to predict production unit behavior. After simulating of whole unit, the effect of different parameters change on process unit was studied. For example, the effect of circulation stream flow rate, temperature and pressure of chlorination reactor on output stream (product) flow rate, EDC purity, ETC byproduct and heat exchanger duty, the effect of pressure in distillation columns on EDC purity and output streams temperature from columns. Then results have been displayed by the tables. As one of the results of this design, it was shown that with pressure increase in dehydrator column (C-821), column temperature was increased. Azeotropic temperature and pressure between EDC and water was increased by increasing of temperature and pressure in column. Azeotropic formation problem didn’t exist with considering the limitation of azeotropic temperature and pressure that was determined in column.