摘要
炉膛燃烧三维温度分布可视化技术为实现炉内燃烧三维温度分布优化控制奠定了基础。本文采用数值计算的方法建立了炉内不同高度特征截面平均温度及相应的温度中心坐标作为中间被控变量,以各层各角燃烧器燃料量及一次风、二次风量等参数为输入变量的线性模型。检验结果表明该模型能正确反映输入变量的变化对炉内温度分布的影响,为采用自适应遗传算法实施燃烧优化控制创造了条件。
The technique to visualize 3D temperature distributions serves as a basis for optimally controlling the 3D temperature distributions in PC-fired furnace. In this paper, three-dimensional numerical simulation method was adopted to set up a linear model in which the average temperatures in different horizontal cross-sections along the height of furnace and the relative temperature center coordinates are regarded as intermediate controlled parameters, and the input variables are the fuel, primary air and secondary air flow rates through all the nozzles. Simulation results showed that the linear model can predict the effects of various changes of input variables on the temperature distribution. This makes it possible to adopt adaptive genetic algorithm to implement combustion optimal control.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2004年第4期695-698,共4页
Journal of Engineering Thermophysics
基金
国家自然科学基金资助项目(No.50176056)
高校优秀青年教师教学科研奖励计划(1999年度)资助项目
关键词
四角切圆锅炉
三维温度分布
燃烧控制
自适应遗传算法
tangentially fired boiler
3D temperature distributions
combustion control
adaptive genetic algorithm
