首页> 外文会议>ASME turbo expo >RELEVANT POINTS FOR THERMODYNAMIC DIAGNOSIS APPLICATION USING THE RECONCILIATION METHOD
【24h】

RELEVANT POINTS FOR THERMODYNAMIC DIAGNOSIS APPLICATION USING THE RECONCILIATION METHOD

机译:调和法在热力学诊断中的相关要点

获取原文

摘要

After some hours of operation, every power plant's equipment begins to show degraded performance. The amount of equipment degradation and the gain that can be achieved in plant heat rate and power generation by the replacement or repairing of each component is important information for proper plant maintenance management.This paper aims to show how diagnosis and prognosis of a power plant can be performed based on thermodynamic data measured by plant instrumentation on site.Some important points such as how to increase the accuracy of the prognostic by developing the complete Taylor series and how it affects the thermodynamic state are also explained. Practical considerations for implementing a thermodynamic diagnosis/prognosis system in a real plant are also discussed.The system receives thermodynamic data from the plant information system (PI) and after a filtering step, the performance factors (PFs) of each component are calculated based on the component's performance curves. Thus, the current state can be modeled using these PFs. By replacing the calculated performance factors, component by component, with factors that represents no degradation, future cycle performance can be estimated.This work is a partial result of an ongoing research program that implements a thermodynamic diagnosis/prognosis system on a 130 MW combined cycle co-generation power plant.
机译:经过几个小时的操作,每个电厂的设备都开始显示出降级的性能。通过更换或修复每个组件的设备劣化和可以在植物热速率和发电中实现的设备的量是适当的工厂维护管理的重要信息。 本文旨在展示如何基于现场植物仪器测量的热力学数据来执行发电厂的诊断和预后。 还解释了一些重要的观点,例如如何通过开发完整的泰勒序列以及如何影响热力学状态来提高预后的准确性。还讨论了在实际工厂中实施热力学诊断/预后系统的实际考虑。 系统从植物信息系统(PI)和过滤步骤之后,从滤波步骤接收热力学数据,基于组件的性能曲线计算每个组件的性能因子(PFS)。因此,可以使用这些PFS建模当前状态。通过替换计算的性能因素,组件组件,具有表示没有降级的因素,可以估计未来的循环性能。 这项工作是正在进行的研究计划的部分结果,该研究计划在130 MW联合循环的CONE-Mode Power厂实现热力学诊断/预后系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号