掺烧煤泥循环流化床锅炉床温动态建模  

Dynamic modeling for bed temperature of circulating fluidized bed boilers co-firing coal slime

作　　者：杨婷婷[1] 邸小慧 洪烽 高明明[1] 张蓓[1] 

机构地区：[1]华北电力大学新能源电力系统国家重点实验室,北京102206

出　　处：《热力发电》2018年第2期43-48,共6页Thermal Power Generation

基　　金：国家重点研发计划项目(2016YFB0600205)~~

摘　　要：煤泥是煤炭洗选加工后的废弃物,具有高黏度、高含水量、低发热量等特性。而循环流化床(CFB)作为一种清洁高效的燃烧技术,是处理煤泥的一条有效途径。床温是CFB锅炉燃烧系统的重要参数,掺烧煤泥会导致CFB锅炉床温降低,加剧床温在边界值的波动性,影响机组的安全稳定运行。对此本文以历史运行数据为基础,采用最小二乘支持向量机(LSSVM)动态建模算法建立以给煤量、煤泥量、一次风量、二次风量、外置床阀门开度和入炉石灰石量为输入变量,锅炉床温为输出变量的掺烧煤泥CFB锅炉床温动态模型,并对模型进行了仿真验证。结果表明,该模型准确度高,实时性好,可用于床温在线预测。The slime is a kind of solid garbage produced in the process of coal washing, which has the characteristics of high viscosity, high moisture content and low calorific value. As a clean and effective combustion technology, circulating fluidized bed（CFB） provides a good method to deal with the slime. The bed temperature of CFB boiler is an important factor influencing the operation security. Mixing slime in CFB boilers decreases the bed temperature and aggravates the bed temperature fluctuation at boundary value. Therefore, the problem of modeling on bed temperature of coal slime co-combustion CFB boiler was studied. On the basis of the running data of actual unit, a dynamic model of the bed temperature was established by least squares support vector machine（LSSVM）dynamic modeling algorithm. The coal-feed quantity, slime quantity, primary air volume, secondary air volume, opening of external heat exchanger and limestone-feed quantity were selected as input variables, and the bed temperature of the CFB boiler was selected as output variable. The simulation results prove that the model has high accuracy, good real-time, and is valuable for bed temperature online prediction.

关 键 词：掺烧煤泥 CFB锅炉 床温动态模型 最小二乘支持向量机 在线预测 

分 类 号：TK39[动力工程及工程热物理—热能工程]