当前位置: X-MOL 学术Proc. Combust. Inst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Ash deposition propensity of coals/blends combustion in boilers: a modeling analysis based on multi-slagging routes
Proceedings of the Combustion Institute ( IF 3.4 ) Pub Date : 2016-06-21 , DOI: 10.1016/j.proci.2016.06.060
Xin Yang , Derek Ingham , Lin Ma , Nanda Srinivasan , Mohamed Pourkashanian

A method that is based on the initial slagging routes and the sintered/slagging route has been developed and used for predicting the ash deposition propensities of coal combustion in utility boilers supported by the data collected from power stations. Two types of initial slagging routes are considered, namely (i) pyrite-induced initial slagging on the furnace wall, and (ii) fouling caused by the alkaline/alkali components condensation in the convection section. In addition, the sintered/slagging route is considered by the liquids temperature, which represents the melting potential of the main ash composition and is calculated using the chemical equilibrium methods. The partial least square regression (PLSR) technique, coupled with a cross validation method, is employed to obtain the correlation for the ash deposition indice. The method has been successfully applied to coals/blends combustion in boilers, ranging from low rank coals to bituminous coal. The results obtained show that the developed indice yields a higher success rate in classifying the overall slagging/fouling potential in boilers than some of the typical slagging indices. In addition, only using the SiO2/Al2O3 ratio to predict the melting behaviors and slagging potential is inaccurate since the effect of the SiO2/Al2O3 ratio is dictated by both the original ash composition and the way in which the SiO2/Al2O3 ratio is changed. Finally, the influence of the acid components (SiO2 and Al2O3) on the ash deposition prediction is investigated for guiding the mineral additives. It is noticed that the predicted ash deposition potentials of the three easy slagging coals investigated decrease more rapidly by adding Al2O3 than by adding SiO2.



中文翻译:

锅炉中煤/掺混物燃烧的灰分沉积倾向:基于多排渣途径的模型分析

已经开发了一种基于初始排渣路线和烧结/排渣路线的方法,并将其用于根据从电站收集的数据来预测公用事业锅炉中煤燃烧的灰分沉积倾向。考虑了两种类型的初始排渣途径,即(i)黄铁矿在炉壁上引起的初始排渣,以及(ii)由于对流区中的碱/碱组分冷凝而引起的结垢。另外,烧结/成渣路线由液体温度来考虑,该液体温度代表主要灰分组合物的熔化势,并使用化学平衡方法来计算。偏最小二乘回归(PLSR)技术与交叉验证方法相结合,用于获得灰分沉积指数的相关性。该方法已成功应用于锅炉中的煤/掺混物燃烧,从低等级煤到烟煤。获得的结果表明,与某些典型的排渣指标相比,开发的指数在对锅炉的整体排渣/结垢潜力进行分类方面具有更高的成功率。另外,仅使用SiOSiO 2 / Al 2 O 3比的影响是由原始灰分组成和SiO 2 / Al 2 O的方式所决定的,因此预测熔融行为和熔渣潜力的2/2 / Al 2 O 3比是不准确的。3比例改变。最后,研究了酸性成分(SiO 2和Al 2 O 3)对灰分沉积预测的影响,以指导矿物添加剂的使用。值得注意的是,通过添加Al 2 O,研究的三种易矿渣煤的预测灰分沉积潜力下降得更快。3,而不是添加SiO 2

更新日期:2016-06-21
down
wechat
bug