管式炉热物理量场反演  

Thermal Physical Distribution Inversion in Tubular Furnace

作　　者：张向宇[1] 郑树[2] 周怀春[2] 徐宏杰[1] 

机构地区：[1]西安热工研究院有限公司电站锅炉煤清洁燃烧国家工程研究中心,西安710032 [2]清华大学热能动力仿真与控制研究所,北京100084

出　　处：《燃烧科学与技术》2015年第1期8-13,共6页Journal of Combustion Science and Technology

基　　金：中国华能集团科学技术资助项目(ZA-12-HKR03);国家科学技术部资助项目(2011BAE13B00)

摘　　要：通过建立工业管式裂解炉模型,结合辐射图像处理方法,开展了管式炉炉内热物理量场反演模拟研究.针对管式炉内复杂边界条件下的辐射传递方程求解问题,在蒙特卡洛方法中加入多尺度网格及能束步进求解策略,实现了炉管、火焰和炉壁辐射的解耦计算.模拟研究结果表明,较小的测量误差条件下温度场重建误差小于4%,最大偏差小于30,K,并且能够实现对每根炉管表面温度的准确重建.该项研究将为提高管式炉安全监视和热力过程控制水平提供参考.Thermal physical distribution inversion, an invese radiation problem, was studied numerically in an in- dustrial tubular cracking furnace by the radiation image processing method. Sixteen CCD cameras were mounted on the wall in order to capture the boundary radiation intensity, which was determined by radiation imaging model whose essence was radiative transfer equation. In order to solve the radiative heat transfer equation with complex boundary condition in the tubular furnace, multiscale grid and energy beam stepper solving strategy were combined with Monte Carlo method, and a revised Tikhonov regularization method was adopted to deal with the morbid equa- tion, thus the radiations from tubes, flame and furnace wall were decoupled and the radiative transfer processes of each pipe were quantified. Simulation results indicated that the temperature reconstruction error was less than 4% and the maximum deviation was within 30 K under small measurement error conditions, and that the surface temperature of each pipe could be deduced accurately. However the reconstruction results were not credible when the measurement error increased to 5%. The inversion based on radiation image processing would make it possible to online visualize thermal physical distribution, and this study would have an important application value for improving the safety monitoring and thermal process control in tubular furnace.

关 键 词：管式炉 辐射图像处理 热物理量场 反演 炉管温度 多尺度 

分 类 号：TK224[动力工程及工程热物理—动力机械及工程]