Co-combustion of coal with printing and dyeing sludge: Numerical simulation of the process and related NOX emissions

被引:55
作者
Hu, Zhifeng [1 ]
Ma, Xiaoqian [1 ]
Chen, Yumeng [1 ]
Liao, Yanfen [1 ]
Wu, Jie [1 ]
Yu, Zhaosheng [1 ]
Li, Shuangshuang [1 ]
Yin, Libao [2 ]
Xu, Qisheng [2 ]
机构
[1] S China Univ Technol, Guangdong Higher Educ Inst, Key Lab Efficient & Clean Energy Utilizat, Guangzhou 510640, Guangdong, Peoples R China
[2] Elect Power Res Inst Guangdong Power Grid, Guangzhou 510600, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Combustion characteristic; Blending combustion; NOX emission; Numerical simulation; Printing and dyeing sludge; SEWAGE-SLUDGE; COMBUSTION; BIOMASS; FURNACE;
D O I
10.1016/j.fuel.2014.09.047
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The co-combustion of coal with printing and dyeing sludge (PDS) in a pulverized coal power plant was simulated based on the computational fluid dynamics method. The co-combustion characteristics and NOX emissions were analyzed to determine the optimal PDS content, moisture content, and secondary air (SA) distribution scheme. This study comprised three main parts. The first part was a comparative analysis of blending coal with different amounts of PDS, which indicated that the overall temperature level of the furnace decreased slightly and the NOX emissions increased gradually as the PDS content increased. The second part was a comparative analysis of blending coal with PDS at different moisture contents, which indicated that the furnace temperature was lower and the NOX emissions were higher with as the moisture content increased. Furthermore, after analyzing the combustion characteristics and NOX emissions, we found that blending with 10% PDS at a moisture content of 40% was the most reasonable strategy based on a constant total lower calorific value. In the third part, SA optimization analysis indicated that the SA distribution clearly affected the combustion characteristics and pollutant emission, where an SA ratio from top to bottom of 3: 1: 2: 4 was the best SA distribution scheme. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:606 / 613
页数:8
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