首页> 外文会议>Annual Loss Prevention Symposium; 20070422-26; Houston,TX(US) >SOME KEY ISSUES ON A SUCCESSFUL APPLICATION OF REAL-TIMEOPTIMIZATION TO AN ETHYLENE PLANT
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SOME KEY ISSUES ON A SUCCESSFUL APPLICATION OF REAL-TIMEOPTIMIZATION TO AN ETHYLENE PLANT

机译:成功地实时优化乙烯装置的一些关键问题

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Lyondell and Applied Manufacturing Technologies (AMT) have implemented a real-timernoptimization (RTO) system on the ethylene plant at Lyondell's Chocolate Bayou Facility.rnThe RTO system contains an integrated plant model that is a combination of rigorous andrnsimplified plant section models covering both the olefins and aromatics units. The decision ofrnwhether or not to model a plant section rigorously or simply is based on whether the model isrnrigorous enough to capture the majority of benefits that an RTO system can bring, whilernsimplified to an extent that the plant model represents the needed relations about the plantrnproduction, constraints and optimal moves. As a result, the RTO system can run very robustlyrnsolving 99.9% of the time and implement setpoints at least every 30 minutes (including waitingrntime after setpoint implementation). This type of RTO system responds to plant operatingrncondition changes and active constraint changes more quickly than traditional RTO systemsrnthat run less frequently. An olefins RTO system based on this approach requires less effort inrnthe design, development and implementation phases, and since it is more robust, it requiresrnless effort to maintain.rnThe RTO system working consistently with the advanced process control (APC)rnsystem is a key factor that directly affects the performance and success achieved by the RTOrnapplication. The interface between the RTO system and the APC system* covers setpointrnimplementation, constraint handling, and steady state target coordination. Additional factorsrnaffecting the success of an RTO system include: an effective way to acquire up-to-date feedrnstock composition and pricing information and a reliable operator interface.rnThis paper will discuss this new approach to online optimization as well as the keyrnfactors determining the overall success of the application.
机译:Lyondell和应用制造技术(AMT)已在Lyondell的Chocolate Bayou设施的乙烯工厂上实施了实时优化(RTO)系统。rnRTO系统包含一个集成的工厂模型,该模型是严格而简化的工厂截面模型的组合,涵盖了两种烯烃和芳烃单元。是否严格或简单地对工厂部分进行建模,是基于该模型是否足够严谨,以捕获RTO系统可以带来的大多数收益,而简化到某种程度,即工厂模型代表了与工厂生产有关的必要关系,约束和最佳动作。结果,RTO系统可以非常强大地运行,从而解决了99.9%的时间,并且至少每30分钟执行一次设定值(包括设定值实施后的等待时间)。与传统RTO系统运行频率较低的情况相比,这种RTO系统对工厂运行条件变化和主动约束条件变化的响应速度更快。基于此方法的烯烃RTO系统在设计,开发和实施阶段的工作量较小,并且由于其功能更强大,因此无需进行任何维护工作。RTO系统与高级过程控制(APC)系统一致地工作是关键因素这直接影响RTOrn应用程序的性能和成功。 RTO系统与APC系统*之间的接口涵盖了设定点实现,约束处理和稳态目标协调。影响RTO系统成功的其他因素包括:获取最新原料组成和价格信息的有效方法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决定总体成功的关键因素。的应用程序。

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