Thermal condition monitoring in a chemical looping combustion reactor for real-time operation diagnosis
Thermal condition monitoring in a chemical looping combustion reactor for real-time operation diagnosis
复制标题
化学循环燃烧反应器的热状态监测，用于实时运行诊断
DOI：
10.1016/j.applthermaleng.2019.114122
复制
发表时间：
2019
影响因子：
6.4
通讯作者：
Baosheng Jin
中科院分区：
文献类型：
--
作者：
Xudong Wang;Daqian Zhang;Xiaojia Wang;Zhiwei Kong;Yali Shao;Baosheng Jin
随着化学链燃烧（CLC）反应器热输入的增加，其内部边界条件的监测与诊断成为安全运行的重要问题。基于反应器壁面离散传热模型，将卡尔曼滤波和模糊推理相结合，提出了基于模糊推理的增广卡尔曼滤波（FI-AKF）和基于模糊推理的卡尔曼滤波与加权递归最小二乘算法相结合（FI-KFW）的CLC反应器实时监测方法。仿真结果验证了这两种方法的可行性。在正常和非正常工况下，FI-KFW均能表现出满意的内热流监测性能。通过数值模拟，研究了测量点个数和测量噪声强度对FI-KFW监测结果的影响。结果表明，FI-KFW具有较强的抗监测过程不适定性能力，能够对化学链燃烧反应器进行实时监测，为操作诊断提供可靠信息。
With the increasing thermal input of chemical looping combustion (CLC) reactor, the monitoring and diagnosis of its internal boundary conditions become important issues for operation safety. Based on the discrete heat transfer model of reactor wall, Kalman filter and fuzzy inference were combined as fuzzy inference-based augmented Kalman filter (FI-AKF) and fuzzy inference-based Kalman filter coupled with weighted recursive least squares algorithm (FI-KFW) for the real-time monitoring of CLC reactor. Simulations were carried out to validate the feasibility of these two methods. Under both normal and abnormal conditions, the FI-KFW could exhibited satisfying performances for the internal heat flux monitoring. Number of the measurement points and intensity of measurement noises were changed numerically to investigate their effects on the monitoring results of FI-KFW. Results demonstrated that FI-KFW had strong ability to resist the ill-posedness of the monitoring process and it was capable for the real-time monitoring of the chemical looping combustion reactor, which could offer reliable information for operation diagnosis.