Modeling And Dynamic Simulation Of The Process Of Producing Ethylbenzene From Dry Gas

Chemical products must go through a process amplification from small-scale laboratory research to industrial production. With the rapid development of chemical product and the progress in process simulation technology, mathematical simulation based on mechanism model provides a strong support for process scale-up in industry. This paper studies a newly developed process with annual output of 120000 tons ethylbenzene from dry gas. Steady simulation and dynamic simulation are employed to test the fesibility of the designed process.In this paper, the reaction mechanism of benzene alkylation and transalkylation in the process are analyzed. Meanwhile, this paper has expounded the benzene alkylation reaction network, and established the dynamics equation for the reaction system. Through the systemic analysis on the whole process, this paper utilizes Unisim Design chemical process simulation software to conduct the steady simulation of the whole process of ethylbenzene from dry gas, and to test the technological process and the accuracy of technological parameters, where SRK thermodynamic equation is adopted.To test the dynamic characteristics of the designed process, this paper has first established a series of basic models on physical parameters, and thermodynamic properties. By analyzing alkylation reactor, transalkylation reactor, and distillation column, dynamic models are established for each equipment unit. The process flow diagram is converted to information flow diagram to establish the structure model. The main control models are constructed by studying the control scheme in the process. Then, ordinary differential equations, double layer method, and dynamic sequential module method are discussed for solving the dynamic models.The developed models are applied to the Dynamic Simulation& Op(?)/.ation platform, and the simulator is developed. The simulator is then applied to process integration test. Its result reveals that the process design is reasonable so as to verify the accuracy of the established dynamic models. In the test, some problems are also found. In order to solve the problems, the improvement measures are proposed for the further optimization of the process.