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

机译:工艺和动力学模型的应用优化加氢裂纹的运行

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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:在发展的实时优化(RTO)的加氢裂化工艺的战略过程中的应用和动力学模型的主要目的是帮助炼油厂操作,最大限度地工厂的营业利润的贡献,在课堂上的表现提供了最好的,最优化工厂操作,提高安全性和reliability.Methods:过程和动力学模型进行了开发和实时优化框架成立并成功加氢裂化过程中提升的过程中高价值的products.The动态模型产量实现利用植物的开发识别技术与实时优化applications.Finally整合,闭环的质量控制体系的建立是为了保持对targets.Results产品规格:实时优化的框架内处理的应用程序和动力学模型有助于优化通过朝向邻移位单位余量关键过程的操作变量ptimum和行动是更好地挑战目标和工作条件,驾驶向着更有利可图的操作状态的工厂,把过程和动力学模型的更高benefits.The应用导致提高柴油和汽油的产量,增加进气量主题到单元的约束和催化剂运行length.In此外,使用过程和动力学模型的连同数据和解系统调节床入口温度以维持期望的WABT的反应器和对约束,诸如氢骤冷和Δ温度范围保护和改善催化剂通过保持规定的反应器床层温度profile.Conclusion生活:过程和实时优化的框架内带来实实在在的好处到refinery.Of特别值得一提的应用动力学模型好处在改进规划基础数据,提高在过程中了解和监控,提供生态nomic重点单元操作,允许离线和在线的研究中,活性约束跟踪使用过程和动力学模型的和推动,并且还热交换器结垢和在real-time.It压缩机效率的监视设想,这些应用将扩展到其它处理单元,以优化炼油厂的总体操作。

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