A dynamic model was developed to investigate the impact of operating conditions on the main output variables of the fluidized catalytic cracking (FCC) process with a high-efficiency regenerator and to determine the optimal amounts of operating variables, at the Abadan refinery FCC unit in Iran. To determine the rate constants in the developed kinetic model and other related constants in the developed model, a wide range of industrial data were gathered from the targeted process over several months. Through applying an adjusted dynamic model, the effect of gradual increases in feed preheat temperature (350–500 K) on the yield of gasoline and LCO was investigated, and increases in both yields were observed. The effects of sudden changes in feed preheat temperature, feed and regenerated catalyst flow rate on gasoline yield were also examined. The results showed that a sudden 6.9% increase in feed, a sudden 30K decrease in temperature and a sudden 1.12% decrease in catalyst flow rate resulted in 2%, 0.27% and 0.5% decreases in gasoline, respectively. Furthermore, potential methods for neutralizing these negative effects on the gasoline yield were investigated. Finally, the operating conditions were optimized to improve the gasoline and octane number. Three different optimization cases were studied. The profitability of the unit increased about $2.5–3.8 million per year. A reduction in energy consumption of 12,500 to 21,000 Gj/yr was achieved. The amount of feed and the catalyst flow rate were also decreased by 1.5% and 0.2%–0.9%, respectively.

在伊朗阿巴丹炼油厂 FCC 装置中，开发了一个动态模型，以研究操作条件对采用高效再生器的流化催化裂化 (FCC) 工艺的主要输出变量的影响，并确定操作变量的最佳数量. 为了确定开发的动力学模型中的速率常数和开发模型中的其他相关常数，几个月内从目标过程中收集了广泛的工业数据。通过应用调整后的动态模型，研究了逐渐升高进料预热温度（350-500 K）对汽油和 LCO 收率的影响，并观察到两种收率都有所提高。还检查了进料预热温度、进料和再生催化剂流速的突然变化对汽油收率的影响。结果表明，进料量突然增加 6.9%、温度突然降低 30K 和催化剂流​​量突然降低 1.12%，分别导致汽油减少 2%、0.27% 和 0.5%。此外，研究了中和这些对汽油收率的负面影响的潜在方法。最后，优化操作条件以提高汽油和辛烷值。研究了三种不同的优化案例。该部门的盈利能力每年增加约 2.5-380 万美元。能源消耗减少了 12,500 至 21,000 Gj/年。进料量和催化剂流​​量也分别降低了 1.5% 和 0.2%–0.9%。催化剂流量下降 12% 导致汽油分别下降 2%、0.27% 和 0.5%。此外，研究了中和这些对汽油收率的负面影响的潜在方法。最后，优化操作条件以提高汽油和辛烷值。研究了三种不同的优化案例。该部门的盈利能力每年增加约 2.5-380 万美元。能源消耗减少了 12,500 至 21,000 Gj/年。进料量和催化剂流​​量也分别降低了 1.5% 和 0.2%–0.9%。催化剂流量下降 12% 导致汽油分别下降 2%、0.27% 和 0.5%。此外，研究了中和这些对汽油收率的负面影响的潜在方法。最后，优化操作条件以提高汽油和辛烷值。研究了三种不同的优化案例。该部门的盈利能力每年增加约 2.5-380 万美元。能源消耗减少了 12,500 至 21,000 Gj/年。进料量和催化剂流​​量也分别降低了 1.5% 和 0.2%–0.9%。优化了操作条件以提高汽油和辛烷值。研究了三种不同的优化案例。该部门的盈利能力每年增加约 2.5-380 万美元。能源消耗减少了 12,500 至 21,000 Gj/年。进料量和催化剂流​​量也分别降低了 1.5% 和 0.2%–0.9%。优化了操作条件以提高汽油和辛烷值。研究了三种不同的优化案例。该部门的盈利能力每年增加约 2.5-380 万美元。能源消耗减少了 12,500 至 21,000 Gj/年。进料量和催化剂流​​量也分别降低了 1.5% 和 0.2%–0.9%。