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Applications of process and kinetic models to optimize the operation of Hydrocracker

机译:过程和动力学模型的应用优化加氢裂剂的运行

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Objectives: The main objective of applications of process and kinetic models in developing the Real-Time Optimization(RTO)strategies for hydrocracking process was to help refinery operation to maximize contribution of the plant to the business profit,providing best in class performance,optimizing the plant operation,enhancing safety and reliability.Methods: The process and kinetic models were developed and incorporated in real-time optimization framework and successfully implemented on hydrocracking process to enhance the yield of high value products.The dynamic model of the process was developed using plant identification techniques and integrated with real-time optimization applications.Finally,a closed-loop quality control system was established to keep the product specifications on targets.Results: The applications of process and kinetic models within the framework of Real-Time Optimization helped to optimize key process operating variables by shifting the unit margin towards the optimum and operations were better placed to challenge targets and operating conditions,driving the plant toward a more profitable operating regime,bringing the higher benefits.The application of process and kinetic models resulted in improving the yield of diesel and gasoline and increasing the feed rate subject to unit constraints and catalyst run length.In addition,the use of process and kinetic models together with data reconciliation system adjusted the reactors bed inlet temperature to maintain a desired WABT and protected against constraints such as hydrogen quench and delta temperature limits and improved the catalyst life by maintaining the specified reactor bed temperature profile.Conclusion: The applications of process and kinetic models within the framework of real-time optimization brought substantial benefits to the refinery.Of particular mention are the benefits in improvement of the basic data for planning,improvement in process understanding and monitoring,providing economic focus on unit operation,allowing the use of process and kinetic models for off-line and on-line studies,active constraint tracking and pushing and also the monitoring of heat exchangers fouling and compressor efficiency in real-time.It is envisaged that these applications will be extended to other processing units to optimize the overall operation of the refinery.
机译:目标:流程和动力学模型在开发实时优化(RTO)策略的主要目标是帮助炼油厂运行,以最大化工厂对业务利润的贡献,提供最佳的课堂性能,优化植物操作,提高安全性和可靠性。方法:该过程和动力学模型是在实时优化框架中的制定和纳入,并成功地在加氢裂化过程中实现,以提高高价值产品的产量。使用植物开发了该过程的动态模型识别技术并与实时优化应用集成。最后,建立了一个闭环质量控制系统,以保持产品规范。结果:实时优化框架内的过程和动力学模型有助于优化通过将单位边距转向o来键流程操作变量PTimum和操作更好地放置挑战目标和操作条件,使工厂迈向更有利可图的操作制度,带来了更高的益处。过程和动力学模型的应用导致柴油和汽油的产量提高了饲料速度单位限制和催化剂运行长度。此外,使用过程和动力学模型以及数据调节系统调整了反应器床入口温度,以维持所需的WABT并保护诸如氢淬火和δ温度限制等约束,并改善催化剂。通过维持指定的反应器床温度谱。结论:过程和动力学模型在实时优化框架内的应用为炼油厂带来了大量的益处。特别提到的是改善规划基本数据的好处,在过程理解和监控,提供生态Nomic专注于单位操作,允许使用过程和动力学模型进行离线和在线研究,积极约束跟踪和推动以及实际情况下的热交换器污垢和压缩机效率的监控。它设想了这些应用程序将扩展到其他处理单元,以优化炼油厂的整体运行。

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