CIESC Journal ›› 2020, Vol. 71 ›› Issue (7): 3140-3150.DOI: 10.11949/0438-1157.20191072

• Process system engineering • Previous Articles     Next Articles

Mechanism modeling and real-time estimation application of thermal efficiency for delayed coking furnace

Jian HUANG(),Zhong ZHAO()   

  1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
  • Received:2019-09-23 Revised:2020-03-15 Online:2020-07-05 Published:2020-07-05
  • Contact: Zhong ZHAO

延迟焦化加热炉热效率的机理建模与实时估计应用

黄健(),赵众()   

  1. 北京化工大学信息科学与技术学院,北京 100029
  • 通讯作者: 赵众
  • 作者简介:黄健(1995—),男,硕士研究生, 18641372370@163.com
  • 基金资助:
    2019年工业互联网创新发展工程基于工业互联网平台的生产线数字孪生系统(TC19084DY);北京市自然科学基金项目(4172044);朝阳区协同创新资助项目(CYXC1707)

Abstract:

Coking heating furnace is the key plant in the delayed coking unit. Thermal efficiency is one of the most important key performance indications. In this work, the thermal efficiency dynamic model is established based on the first principles of heat transfer equations and heat balance conditions. A joint particle filtering method combined with Kalman filter and particle filter is proposed to correct the model prediction and the convergence of the proposed method has been analyzed. The application results confirmed the feasibility and effectiveness of the proposed method, and laid the foundation for the advanced control of the delayed coking unit.

Key words: prediction, control, tubular heating furnace, first principle modeling, parameter estimation, thermal efficiency, joint particle filtering, united estimation

摘要:

在延迟焦化装置中,焦化炉热效率是操作先进性关键评价指标,然而实际工业生产中难以在线测得加热炉热效率。本文基于机理建模,推导了管式加热炉状态空间预测模型。为降低干扰影响,提出了一种基于粒子滤波的联合估计方法来修正加热炉热效率模型预测,并分析了其收敛性。实际应用结果证实了所提方法的可行性和有效性,为实现延迟焦化装置先进控制奠定了基础。

关键词: 预测, 控制, 管式加热炉, 机理建模, 参数估计, 加热炉热效率, 粒子滤波, 联合估计

CLC Number: