Ozgen Senem, Cernuschi Stefano, Giugliano Michele
Politecnico di Milano, Department of Civil and Environmental Engineering (DICA) - Environmental Engineering Section, P.zza L. da Vinci 32, 20133 Milano, MI, Italy.
Politecnico di Milano, Department of Civil and Environmental Engineering (DICA) - Environmental Engineering Section, P.zza L. da Vinci 32, 20133 Milano, MI, Italy.
Waste Manag. 2015 May;39:158-65. doi: 10.1016/j.wasman.2015.02.033. Epub 2015 Mar 17.
Particle number concentration and size distribution measurements were performed on the stack gas of a waste-to-energy plant which co-incinerates municipal solid waste, sewage sludge and clinical waste in two lines. Average total number of particles was found to be 4.0·10(5)cm(-3) and 1.9·10(5)cm(-3) for the line equipped with a wet flue gas cleaning process and a dry cleaning system, respectively. Ultrafine particles (dp<100nm) accounted for about 97% of total number concentration for both lines, whereas the nanoparticle (dp<50nm) contribution differed slightly between the lines (87% and 84%). The experimental data is explored statistically through some multivariate pattern identifying methods such as factor analysis and cluster analysis to help the interpretation of the results regarding the origin of the particles in the flue gas with the objective of determining the factors governing the particle number emissions. The higher moisture of the flue gas in the wet cleaning process was found to increase the particle number emissions on average by a factor of about 2 due to increased secondary formation of nanoparticles through nucleation of gaseous precursors such as sulfuric acid, ammonia and water. The influence of flue gas dilution and cooling monitored through the variation of the sampling conditions also confirms the potential effect of the secondary new particle formation in increasing the particle number emissions. This finding shows the importance of reporting the experimental conditions in detail to enable the comparison and interpretation of particle number emissions. Regarding the fuel characteristics no difference was observed in terms of particle number concentration and size distributions between the clinical waste feed and the municipal solid waste co-incineration with sludge.
对一座垃圾焚烧发电厂的烟囱气体进行了颗粒数浓度和粒径分布测量,该发电厂分两条生产线协同焚烧城市固体废物、污水污泥和医疗废物。配备湿法烟气净化工艺和干法净化系统的生产线,其平均总颗粒数分别为4.0·10(5)cm(-3)和1.9·10(5)cm(-3)。两条生产线的超细颗粒(dp<100nm)约占总颗粒数浓度的97%,而纳米颗粒(dp<50nm)的占比在两条生产线之间略有差异(分别为87%和84%)。通过因子分析和聚类分析等多元模式识别方法对实验数据进行统计探索,以帮助解释有关烟气中颗粒来源的结果,目的是确定控制颗粒数排放的因素。发现湿法净化工艺中烟气较高的湿度会使颗粒数排放平均增加约2倍,这是由于气态前体(如硫酸、氨和水)通过成核作用增加了纳米颗粒的二次形成。通过采样条件的变化监测到的烟气稀释和冷却的影响,也证实了二次新颗粒形成在增加颗粒数排放方面的潜在作用。这一发现表明详细报告实验条件对于颗粒数排放的比较和解释的重要性。关于燃料特性,在医疗废物进料与城市固体废物和污泥协同焚烧之间,未观察到颗粒数浓度和粒径分布方面的差异。