基于图像光散射法的超低排放烟尘在线测量方法
|
摘要
针对超低排放烟尘在线实时监测问题,提出了基于图像传感器的在线实时测量烟尘质量浓度和粒度的新型光散射方法,并搭建实验装置对低质量浓度的烟尘颗粒进行测量。结果表明:低质量浓度下散射光强与烟尘质量浓度成正比;该方法能够满足超低排放烟尘浓度在线实时监测的要求,并能同时测量烟尘颗粒的平均粒径。
To realize the online measurement of ultra-low soot emission, a new method based on imaging light scattering was developed to measure the soot concentration and particle size, which was verified by experimental tests. Results show that under low soot concentration conditions, the intensity of scattered light is in direct proportion to the soot concentration. The method proposed can be used to measure not only the ultra-low soot concentration, but also the average particle size on a real time basis.
To realize the online measurement of ultra-low soot emission, a new method based on imaging light scattering was developed to measure the soot concentration and particle size, which was verified by experimental tests. Results show that under low soot concentration conditions, the intensity of scattered light is in direct proportion to the soot concentration. The method proposed can be used to measure not only the ultra-low soot concentration, but also the average particle size on a real time basis.
引文
[1] 鲁兴. 燃煤电厂排放颗粒物对大气污染的监测与危害研究[D]. 郑州: 郑州大学, 2005.
[2] 陈浩, 骆仲泱, 江建平, 等. 电厂湿法烟气脱硫颗粒物排放特性的实验研究[J]. 动力工程学报, 2017, 37(11): 925-930, 937. CHEN Hao, LUO Zhongyang, JIANG Jianping, et al. Experimental study on emission characteristics of particulate matters from wet flue gas desulfurization system of a coal-fired power plant[J]. Journal of Chinese Society of Power Engineering, 2017, 37(11): 925-930, 937.
[3] 国家发展和改革委员会, 国家能源局. 能源发展“十三五”规划[R]. 北京: 国家发展和改革委员会, 国家能源局, 2016.
[4] 中华人民共和国环境保护部. 固定污染源烟气(SO2、NOx、颗粒物)排放连续监测技术规范: HJ 75-2017[S]. 北京: 中国环境科学出版社, 2018.
[5] 潘云, 杨希刚, 张承武, 等. 火电厂湿烟气超低粉尘排放在线监测技术探讨[J]. 电力科技与环保, 2016, 32(3): 21-23. PAN Yun, YANG Xigang, ZHANG Chengwu, et al. Power plant ultra-low wet flue gas dust emission on-line monitoring technology[J]. Electric Power Technology and Environmental Protection, 2016, 32(3): 21-23.
[6] 李昆, 钟磊, 张洪泉. 烟尘浓度测量方法综述[J]. 传感器与微系统, 2013, 32(2): 8-11. LI Kun, ZHONG Lei, ZHANG Hongquan. Review of smoke concentration measurement method[J]. Transducer and Microsystem Technologies, 2013, 32(2): 8-11.
[7] GAJEWSKI J B. Non-intrusive solids charge and mass flow measurements with an electrostatic flow probe[J]. Journal of Electrostatics, 1999, 46(4): 271-284.
[8] 邢键. 基于光后向散射法的烟尘浓度测量技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2010.
[9] 贺晋瑜, 燕丽, 雷宇, 等. 我国燃煤电厂颗粒物排放特征[J]. 环境科学研究, 2015, 28(6): 862-868. HE Jinyu, YAN Li, LEI Yu, et al. Emission characteristics of particulate matter from coal-fired power plants in China[J]. Research of Environmental Sciences, 2015, 28(6): 862-868.
[10] 蔡小舒, 苏明旭, 沈建琪, 等. 颗粒粒度测量技术及应用[M]. 北京: 化学工业出版社, 2010.
[11] 孙晗, LAMANNA G, WEIGAND B. 小角弹性光散射粒径测量技术与准确性验证[J]. 中国激光, 2013, 40(3): 197-201. SUN Han, LAMANNA G, WEIGAND B. Measurement technique and verification of accuracy for particle sizing by low angle elastic light scattering[J]. Chinese Journal of Lasers, 2013, 40(3): 197-201.
[12] 张德丰. MATLAB数学实验与建模[M]. 2版. 北京: 清华大学出版社, 2014.
[13] 叶茂, 王式民, 徐益谦. 光散射法测量微粒粒径分布的一种反演遗传算法[J]. 工程热物理学报, 1999, 20(5): 632-636. YE Mao, WANG Shimin, XU Yiqian. An improved inverse genetic algorithm for particle sizing by light scattering method[J]. Journal of Engineering Thermophysics, 1999, 20(5): 632-636.
[2] 陈浩, 骆仲泱, 江建平, 等. 电厂湿法烟气脱硫颗粒物排放特性的实验研究[J]. 动力工程学报, 2017, 37(11): 925-930, 937. CHEN Hao, LUO Zhongyang, JIANG Jianping, et al. Experimental study on emission characteristics of particulate matters from wet flue gas desulfurization system of a coal-fired power plant[J]. Journal of Chinese Society of Power Engineering, 2017, 37(11): 925-930, 937.
[3] 国家发展和改革委员会, 国家能源局. 能源发展“十三五”规划[R]. 北京: 国家发展和改革委员会, 国家能源局, 2016.
[4] 中华人民共和国环境保护部. 固定污染源烟气(SO2、NOx、颗粒物)排放连续监测技术规范: HJ 75-2017[S]. 北京: 中国环境科学出版社, 2018.
[5] 潘云, 杨希刚, 张承武, 等. 火电厂湿烟气超低粉尘排放在线监测技术探讨[J]. 电力科技与环保, 2016, 32(3): 21-23. PAN Yun, YANG Xigang, ZHANG Chengwu, et al. Power plant ultra-low wet flue gas dust emission on-line monitoring technology[J]. Electric Power Technology and Environmental Protection, 2016, 32(3): 21-23.
[6] 李昆, 钟磊, 张洪泉. 烟尘浓度测量方法综述[J]. 传感器与微系统, 2013, 32(2): 8-11. LI Kun, ZHONG Lei, ZHANG Hongquan. Review of smoke concentration measurement method[J]. Transducer and Microsystem Technologies, 2013, 32(2): 8-11.
[7] GAJEWSKI J B. Non-intrusive solids charge and mass flow measurements with an electrostatic flow probe[J]. Journal of Electrostatics, 1999, 46(4): 271-284.
[8] 邢键. 基于光后向散射法的烟尘浓度测量技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2010.
[9] 贺晋瑜, 燕丽, 雷宇, 等. 我国燃煤电厂颗粒物排放特征[J]. 环境科学研究, 2015, 28(6): 862-868. HE Jinyu, YAN Li, LEI Yu, et al. Emission characteristics of particulate matter from coal-fired power plants in China[J]. Research of Environmental Sciences, 2015, 28(6): 862-868.
[10] 蔡小舒, 苏明旭, 沈建琪, 等. 颗粒粒度测量技术及应用[M]. 北京: 化学工业出版社, 2010.
[11] 孙晗, LAMANNA G, WEIGAND B. 小角弹性光散射粒径测量技术与准确性验证[J]. 中国激光, 2013, 40(3): 197-201. SUN Han, LAMANNA G, WEIGAND B. Measurement technique and verification of accuracy for particle sizing by low angle elastic light scattering[J]. Chinese Journal of Lasers, 2013, 40(3): 197-201.
[12] 张德丰. MATLAB数学实验与建模[M]. 2版. 北京: 清华大学出版社, 2014.
[13] 叶茂, 王式民, 徐益谦. 光散射法测量微粒粒径分布的一种反演遗传算法[J]. 工程热物理学报, 1999, 20(5): 632-636. YE Mao, WANG Shimin, XU Yiqian. An improved inverse genetic algorithm for particle sizing by light scattering method[J]. Journal of Engineering Thermophysics, 1999, 20(5): 632-636.