Emission factors of particulate matter and elemental carbon for crop residues and coals burned in typical household stoves in China

Abstract

Both particulate matter (PM) and black carbon (BC) impact climate change and human health. Uncertainties in emission inventories of PM and BC are partially due to large variation of measured emission factors (EFs) and lack of EFs from developing countries. Although there is a debate whether thermal-optically measured elemental carbon (EC) may be referred to as BC, EC is often treated as the same mass of BC. In this study, EFs of PM (EF(PM)) and EC (EF(EC)) for 9 crop residues and 5 coals were measured in actual rural cooking and coal stoves using the carbon mass balance method. The dependence of the EFs on fuel properties and combustion conditions was investigated. It was found that the mean EF(PM) were 8.19 ± 4.27 and 3.17 ± 4.67 g/kg and the mean EF(EC) were 1.38 ± 0.70 and 0.23 ± 0.36 g/kg for crop residues and coals, respectively. PM with size less than 10 μm (PM(10)) from crop residues were dominated by particles of aerodynamic size ranging from 0.7 to 2.1 μm, while the most abundant size ranges of PM(10) from coals were either from 0.7 to 2.1 μm or less than 0.7 μm. Of various fuel properties and combustion conditions tested, fuel moisture and modified combustion efficiency (MCE) were the most critical factors affecting EF(PM) and EF(EC) for crop residues. For coal combustion, EF(PM) were primarily affected by MCE and volatile matter, whereas EF(EC) were significantly influenced by ash content, volatile matter, heat value, and MCE. It was also found that EC emissions were significantly correlated with emissions of PM with size less than 0.4 μm.

Figure 1

Comparison between the measured and calculated EF_PM for crop residue burning. The calculation was based on regression models with two independent variables of moisture and MCE. Three experiments including smoldering phase, flaming phase, and whole burning cycle are presented together.

Figure 2

Comparison between the measured and calculated EF_PM for coals. The calculation was based on a stepwise regression model for predicting EF_PM based on MCE and VM.

Figure 3

Comparison between the measured and calculated EF_EC for crop residue burning. The prediction was based on two independent variables of moisture and N. Three sets of experiments presented include smoldering phase, flaming phase, and whole burning cycle.