Bottom ash characteristics and pollutant emission during the co-combustion of pulverized coal with high mass-percentage sewage sludge
Bottom ash characteristics and pollutant emission during the co-combustion of pulverized coal with high mass-percentage sewage sludge
复制标题
煤粉与高质量分数污泥混燃底灰特性及污染物排放
DOI：
10.1016/j.energy.2019.01.082
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发表时间：
2019-03-15
期刊：
影响因子：
9
通讯作者：
Wang, Chunbo
中科院分区：
文献类型：
--
作者：
Zhao, Zhenghui;Wang, Ruikun;Wang, Chunbo
在污泥质量比(SMR)为10%~50%的条件下，将城市污泥(MS)和焦化工业污泥(CS)分别与烟煤混烧。在混烧过程中形成了石英、红柱石、镁铝榴石、镁铝榴石和硫酸钙。当根据灰渣的矿物成分和熔融温度来评估结渣倾向时，预测会发生轻度或中度结渣。脱挥阶段的SO2排放峰值随MS的SMR增大而增大，但随CS的SMR增大而变化不大。由于污泥灰的固硫作用，焦炭燃烧阶段的SO2排放得到了抑制。NO、HCN和N2O是含N气体的主要排放形式。随着MS和CS的SMR的增加，HCN的排放日益突出，而NO的排放仅略有增加甚至下降。此外，镉、锌、铬和镍的挥发率(Vp)也有所下降。与之相反，煤掺入CS后，铅的Vp增加，这是因为高氯对铅的影响较大。测定了底灰中Cd、Cr、Ni、Pb、Zn的含量，达到了中国关于园林绿化、土地利用或土壤改良的阈值。(C)2019爱思唯尔有限公司。保留所有权利。
A municipal and a coal-coking industrial sludge (MS and CS) were separately co-combusted with bituminous coal at a sludge mass ratio (SMR) of 10%-50%. Quartz, larnite, gehlenite, mayenite, and calcium sulfate were formed during co-combustion. Slight or medium slagging was predicted to occur when slagging tendency was assessed based on the mineral components and fusion temperature of the ash. The SO2 emission peak at the devolatilization stage increased with increasing SMR of MS but only slightly changed with increasing SMR of CS. SO2 emission at the char combustion stage was suppressed due to the sulfur retention effects of sludge ash. NO, HCN, and N2O were the main emission forms of N-containing gases. With increasing SMRs of MS and CS, HCN emissions became increasingly prominent, whereas NO showed only a slight increase and even decreased. In addition, the volatilization percentages (VP) of Cd, Zn, Cr, and Ni decreased. By contrast, the VP of Pb increased when coal was combusted with CS because Pb was considerably influenced by high Cl. The concentrations of Cd, Cr, Ni, Pb, and Zn in the bottom ashes were determined and satisfied China's threshold limit value for landscaping land application or soil amendment. (C) 2019 Elsevier Ltd. All rights reserved.