Dynamic relationships between real-time fuel moisture content and combustion-emission-performance characteristics of wood pellets in a top-lit updraft cookstove
Dynamic relationships between real-time fuel moisture content and combustion-emission-performance characteristics of wood pellets in a top-lit updraft cookstove
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顶光上升式炉灶中实时燃料水分含量与木颗粒燃烧排放性能特征之间的动态关系
DOI：
10.1016/j.csite.2021.101484
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发表时间：
2021-09
影响因子：
6.8
通讯作者：
Dong Renjie
中科院分区：
文献类型：
--
作者：
Zhao Nan;Li Bowen;Ahmad Riaz;Ding Fan;Zhou Yuguang;Li Gang;Zayan Ali Mohammed Ibrahim;Dong Renjie
燃料含水率（FMC）对生物质燃烧性能有着重要的影响。FMC通常在燃烧过程中发生变化，因此，仅考虑初始FMC不足以理解清洁燃烧和排放控制。通过测量排放物的相对湿度，采用在线FMC监测方法，研究了FMC对典型顶燃式上吸式木屑颗粒炉灶污染物修正燃烧效率（MCE）和排放因子（EFs）的实时影响。从一个完整的16小时的燃烧序列得到的结果表明，FMC的整体下降趋势，从而增加燃烧温度和MCE。火焰燃烧出现在一个高功率阶段，一氧化碳（CO）和细颗粒物（PM2.5）的EFs下降，而实时FMC从3.5%下降到2.1%（湿基）。阴燃燃烧一般占主导地位，在低功率阶段，CO和一氧化氮（NO）的EFs下降，而PM2.5增加，实时FMC从6.3%下降到4.9%（湿基）。本文可以为模拟生物质燃烧，量化污染物排放和了解对住宅部门的相关影响提供有意义的信息。
Fuel moisture content (FMC) has an essential impact on the performance of biomass combustion. FMC typically changes during the burning process; therefore, considering only the initial FMC is inadequate for understanding clean combustion and emission control. An on-line FMC monitoring method was employed by measuring relative humidity of emissions to determine the real-time effect of FMC on modified combustion efficiency (MCE) and emission factors (EFs) of pollutants from a typical top-lit updraft cookstove fueled with wood pellets. The results obtained from a complete 16-h combustion sequence showed an overall decreasing trend of FMC, consequently increasing combustion temperature and MCE. Flaming combustion appeared in a high-power phase where the EFs of carbon monoxide (CO) and fine particulate matter (PM2.5) decreased while real-time FMC decreased from 3.5% to 2.1% (wet basis). Smoldering combustion was generally dominant in a low-power phase where EFs of CO and nitric oxide (NO) decreased, while PM2.5 increased with real-time FMC decreasing from 6.3% to 4.9% (wet basis). This paper can provide meaningful information for modeling biomass burning, quantifying pollutant emissions and understanding related impacts on the residential sector.
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影响因子：
11.4
作者：
Shen, Guofeng;Yang, Yifeng;Wang, Wei;Tao, Shu;Zhu, Chen;Min, Yujia;Xue, Miao;Ding, Junnan;Wang, Bin;Wang, Rong;Shen, Huizhong;Li, Wei;Wang, Xilong;Russell, Armistead G.
通讯作者：
Russell, Armistead G.
影响因子：
5.7
作者：
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通讯作者：
A. Lea-Langton;D. Spracklen;S. Arnold;Luke Conibear;J. Chan;E. Mitchell;Jenny M. Jones;A. Williams-A.
影响因子：
4.7
作者：
Alexandre Boriouchkine;A. Zakharov;Sirkka-Liisa Jämsä-Jounela
通讯作者：
Alexandre Boriouchkine;A. Zakharov;Sirkka-Liisa Jämsä-Jounela
影响因子：
5
作者：
V. tihay-felicelli;P. Santoni;Guillaume Gerandi;T. Barboni
通讯作者：
V. tihay-felicelli;P. Santoni;Guillaume Gerandi;T. Barboni
影响因子：
3.3
作者：
Man, Chengbo;Zhu, Xin;Che, Defu
通讯作者：
Che, Defu