a Aerosol Physics, Natural Sciences , Tampere University of Technology , Tampere , Finland.
b Department of Technology , Metropolia University of Applied Sciences , Helsinki , Finland.
J Air Waste Manag Assoc. 2019 Jan;69(1):97-108. doi: 10.1080/10962247.2018.1521349. Epub 2018 Nov 7.
Coal combustion is one of the most significant anthropogenic CO and air pollution sources globally. This paper studies the atmospheric emissions of a power plant fuelled with a mixture of industrial pellets (10.5%) and coal (89.5%). Based on the stack measurements, the solid particle number emission, which was dominated by sub-200 nm particles, was 3.4×10 MJ for the fuel mixture when electrostatic precipitator (ESP) was cleaning the flue gas. The emission factor was 50 mg MJ for particulate mass and 11 740 ng MJ for the black carbon with the ESP. In the normal operation situation of the power plant, i.e., including the flue-gas desulphurisation and fabric filters (FGD and FF), the particle number emission factor was 1.7×10 MJ, particulate mass emission factor 2 mg MJ and black carbon emission factor 14 ng MJ. Transmission electron microscopy (TEM) analysis supported the particle number size distribution measurement in terms of particle size and the black carbon concentration. The TEM images of the particles showed variability of the particle sizes, morphologies and chemical compositions. The atmospheric measurements, conducted in the flue-gas plume, showed that the flue-gas dilutes closed to background concentrations in 200 sec. However, an increase in particle number concentration was observed when the flue gas aged. This increase in particle number concentration was interpret as formation of new particles in the atmosphere. In general, the study highlights the importance of detailed particle measurements when utilizing new fuels in existing power plants. Implications: CO emissions of energy production decrease when substituting coal with biofuels. The effects of fuels changes on particle emission characteristics have not been studied comprehensively. In this study conducted for a real-scale power plant, co-combustion of wood pellets and coal caused elevated black carbon emissions. However, it was beneficial from the total particle number and particulate mass emission point of view. Flue-gas cleaning can significantly decrease the pollutant concentrations but also changes the characteristics of emitted particles. Atmospheric measurements implicated that the new particle formation in the atmospheric flue-gas plume should be taken into account when evaluating all effects of fuel changes." Are implication statements part of the manuscript?
煤燃烧是全球人为 CO 和空气污染的最重要来源之一。本文研究了一种以工业颗粒(10.5%)和煤(89.5%)混合物为燃料的发电厂的大气排放。基于烟囱测量,当静电除尘器(ESP)清洁烟道气时,固体颗粒数排放主要由小于 200nm 的颗粒主导,燃料混合物的排放量为 3.4×10^10J。ESP 的颗粒质量排放因子为 50mg MJ,黑碳排放因子为 11740ng MJ。在电厂的正常运行情况下,即包括烟气脱硫和织物过滤器(FGD 和 FF),颗粒数排放因子为 1.7×10^10J,颗粒质量排放因子为 2mg MJ,黑碳排放因子为 14ng MJ。透射电子显微镜(TEM)分析支持了颗粒数尺寸分布测量,包括颗粒大小和黑碳浓度。颗粒的 TEM 图像显示了颗粒尺寸、形态和化学成分的可变性。在烟道气羽流中进行的大气测量表明,烟道气在 200 秒内稀释至接近背景浓度。然而,当废气老化时,观察到颗粒数浓度增加。这种颗粒数浓度的增加被解释为大气中新颗粒的形成。总的来说,该研究强调了在现有电厂中使用新型燃料时进行详细颗粒测量的重要性。意义:用生物燃料替代煤会减少能源生产的 CO 排放。燃料变化对颗粒排放特性的影响尚未得到全面研究。在这项针对实际规模电厂的研究中,木屑和煤的共燃导致黑碳排放量增加。然而,从总的颗粒数和颗粒质量排放的角度来看,这是有益的。烟道气清洁可以显著降低污染物浓度,但也会改变排放颗粒的特性。大气测量表明,在评估燃料变化的所有影响时,应考虑到大气烟道气羽流中的新颗粒形成。