湿法脱硫协同蒸汽相变脱除燃煤PM_(2.5)的试验研究  被引量:10

Wet Flue Gas Desulfurization and Simultaneous Removal of PM_(2.5) Fine Particles from Coal Combustion by Heterogeneous Condensation

在线阅读下载全文

作  者:颜金培[1] 杨林军[1] 鲍静静[1] 蒋振华[1] 黄永刚[1] 沈湘林[1] 

机构地区:[1]东南大学能源与环境学院,南京210096

出  处:《动力工程》2009年第1期84-89,共6页Power Engineering

基  金:国家自然科学基金资助项目(20576020);国家重点基础研究发展规划基金资助项目(2002CB211604)

摘  要:对燃煤细颗粒在湿法烟气脱硫(WFGD)系统中的脱除效果进行了试验研究.通过向塔内添加蒸汽以促进细颗粒的凝结长大,实现脱硫过程协同脱除燃煤细颗粒,并分析了不同操作参数对细颗粒和SO2脱除效率的影响.结果表明:在常规湿法烟气脱硫过程中,PM10的质量浓度脱除效率较高,约为55%,而PM2.5的质量和数量浓度脱除效率很低;通过在洗涤塔内添加蒸汽,可以有效提高PM10和PM2.5的脱除效率,脱除效率随液气比的增大而提高,特别是数量浓度的脱除效率;燃煤细颗粒的脱除效率随塔内烟气过饱和度的增大而提高,而脱硫效率几乎不受塔内过饱和度的影响,均能稳定在75%左右;随脱硫塔入口烟气温度的升高,细颗粒的脱除效率降低.The removal of fine particles from coal combustion in wet flue gas desulfurization (WFGD) process was investigated experimentally. Simultaneous particle removal in WFGD process was realized by adding steam into the scrubber to enlarge the particle size based on heterogeneous condensation principle. Influence of operational parameters on removal efficiency of both fine particles and SO2 were analyzed. Results show that in conventional WFGD process, the removal efficiency on mass concentration of PM10 is relatively high, which reaches about 55%, while that on mass and number concentration of PM2.5 are both very low. The removal efficiency of PM10 and PM2.5 can be highly improved through adding steam into the scrubber, which increases with the ratio of liquid to gas, especially on the mass concentration. The removal efficiency of fine particles also increases with the degree of supersaturation in the scrubber, but the desulfurization efficiency maintains a certain value about 75%, in spite of the degree of supersaturation. The removal efficiency of fine particles decreases with the rise of gas temperature at the inlet of scrubber.

关 键 词:燃煤细颗粒 湿法脱硫 蒸汽相变 PM2.5 脱除 CaCO3浆液 洗涤 

分 类 号:X51[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象