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SOME KEY ISSUES ON A SUCCESSFUL APPLICATION OF REAL-TIMEOPTIMIZATION TO AN ETHYLENE PLANT

机译:成功地对乙烯工厂进行实时优化的一些关键问题

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Lyondell and Applied Manufacturing Technologies (AMT) have implemented a real-timeoptimization (RTO) system on the ethylene plant at Lyondell's Chocolate Bayou Facility.The RTO system contains an integrated plant model that is a combination of rigorous andsimplified plant section models covering both the olefins and aromatics units. The decision ofwhether or not to model a plant section rigorously or simply is based on whether the model isrigorous enough to capture the majority of benefits that an RTO system can bring, whilesimplified to an extent that the plant model represents the needed relations about the plantproduction, constraints and optimal moves. As a result, the RTO system can run very robustlysolving 99.9% of the time and implement setpoints at least every 30 minutes (including waitingtime after setpoint implementation). This type of RTO system responds to plant operatingcondition changes and active constraint changes more quickly than traditional RTO systemsthat run less frequently. An olefins RTO system based on this approach requires less effort inthe design, development and implementation phases, and since it is more robust, it requiresless effort to maintain.The RTO system working consistently with the advanced process control (APC)system is a key factor that directly affects the performance and success achieved by the RTOapplication. The interface between the RTO system and the APC system* covers setpointimplementation, constraint handling, and steady state target coordination. Additional factorsaffecting the success of an RTO system include: an effective way to acquire up-to-date feedstock composition and pricing information and a reliable operator interface.This paper will discuss this new approach to online optimization as well as the keyfactors determining the overall success of the application.
机译:里昂戴尔和应用制造技术公司(AMT)已实现了实时 Lyondell的Chocolate Bayou设施的乙烯工厂的最佳化(RTO)系统。 RTO系统包含一个集成的工厂模型,该模型是严格的 简化的工厂截面模型,涵盖了烯烃和芳烃单元。的决定 是否严格或简单地对工厂部分进行建模取决于模型是否为 足够严格,可以捕获RTO系统可以带来的大部分好处,而 在某种程度上简化了工厂模型,以表示与工厂有关的必要关系 生产,约束和最佳动作。结果,RTO系统可以非常强大地运行 解决99.9%的时间并至少每30分钟执行一次设定值(包括等待) 设定值实施后的时间)。这种类型的RTO系统可响应工厂运行 条件变化和主动约束变化比传统的RTO系统更快 运行频率较低。基于这种方法的烯烃RTO系统在 设计,开发和实施阶段,并且由于它更加健壮,因此需要 减少维护工作量。 RTO系统与高级过程控制(APC)保持一致 系统是直接影响RTO实现性能和成功的关键因素 应用。 RTO系统与APC系统*之间的接口涵盖设定值 实施,约束处理和稳态目标协调。其他因素 影响RTO系统成功的因素包括:获取最新Feed的有效方法 库存组成和价格信息以及可靠的操作员界面。 本文将讨论这种在线优化新方法以及关键 决定应用程序整体成功的因素。

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