循环流化床锅炉内存在大量的床料、煤颗粒中未完全燃烧的残碳和未完全反应的钙基脱硫剂，使流动、燃烧（污染物生成与还原）和传热过程都存在较大的系统惯性。为了解决CFB锅炉机组在AGC（Automatic Generation Control）快速调峰过程中，由于CFB机组特有惯性延迟，炉机快速匹配过程中导致污染物控制偏离最佳值，而出现超标排放问题，本课题通过理论分析、模型计算和试验数据，揭示CFB机组变工况过程中流动、燃烧（污染物生成与控制）及传热等多参数失衡滞后机理；明确活性存量（残碳、脱硫剂）的动态变化及其对污染物影响规律；建立动态模型预测多参数瞬时变化，形成满足超低排放的机炉匹配控制策略，最终实现CFB机组全工况下的超低排放性能。

In Circulating Fluidized Bed(CFB) boiler, there is a large amount of bed material, unburnt carbon particles and incomplete reaction of calcium base desulfurizer, so CFB boiler has a characteristic of inertial delay for fluidization, combustion(Pollutant generation and reduction ) and heat transfer process, which leads to CFB boiler can not match turbine parameters quiclkly during Automatic Generation Control load quickly, in this condition, pollution emission deviates from the optimal value, and the emissions value excess relavant regulation. In order to control pollution emission during Automatic Generation Control load quickly, in this research, through theoretical analysis and model calculation and experiment data, the mechnism of multiple parameters inertial imbalance of CFB boiler will be revealed, including fluidization, combustion( pollutant generation and control) and heat transfer behavior during boiler load changing.The dynamic change of the active inventory (residual carbon and desulfurizer) and its influence on pollutant will be determined.The dynamic model is established to predict the instantaneous change of multiple parameters and form a matching control strategy to meet the ultra-low emission. Finally, the ultra-low emission performance of CFB unit is realized.