In the current research, a mathematical model is developed to simulate a commercial ethylene dichloride thermal cracker assuming pseudo-steady state condition. The considered reaction network includes 19 elementary and reversible reactions, 14 molecules, and 6 radical species. To prove the validity of the proposed model, the simulation results are compared with the available plant data. The results show that the coke build-up and deposition on the inner surface of the coil tube increases the heat transfer resistance during the process run time and has a negative effect on the production rate and pressure drop. Afterward, a sensitivity analysis is performed to investigate the effects of the feed and firebox temperatures on the ethylene dichloride cracking severity and selectivity. The results show that increasing the firebox and feed temperatures enhance the vinyl chloride monomer production rate. In the next step, a dynamic optimization problem is formulated and considered to calculate the optimal dynamic trajectory of the feed and furnace temperatures to achieve the maximum vinyl chloride monomer production rate. The programmed optimization problem is solved by the genetic algorithm method. The results show that applying the optimal trajectory of the decision variables can enhance the VCM production rate by 2.5%.

在目前的研究中，开发了一个数学模型来模拟假定准稳态条件的商用二氯化乙烯热裂解装置。所考虑的反应网络包括 19 个基本和可逆反应、14 个分子和 6 个自由基物种。为了证明所提出模型的有效性，将仿真结果与可用的工厂数据进行了比较。结果表明，盘管内表面的焦炭堆积和沉积增加了工艺运行期间的传热阻力，并对生产率和压降产生了负面影响。然后，进行敏感性分析以研究进料和燃烧室温度对二氯乙烷裂解严重性和选择性的影响。结果表明，提高燃烧室和进料温度可提高氯乙烯单体的生产速率。在下一步中，制定并考虑动态优化问题来计算进料和炉温的最佳动态轨迹，以实现最大氯乙烯单体产率。程序优化问题是通过遗传算法方法解决的。结果表明，应用决策变量的最优轨迹可以将VCM产率提高2.5%。程序优化问题是通过遗传算法方法解决的。结果表明，应用决策变量的最优轨迹可以将VCM产率提高2.5%。程序优化问题是通过遗传算法方法解决的。结果表明，应用决策变量的最优轨迹可以将VCM产率提高2.5%。