Mechanisms of Increased Particle and VOC Emissions during DPF

Feb 3, 2017 - parked active regenerations of a diesel particulate filter (DPF) were investigated using heavy-duty trucks equipped with both a urea sel...
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Hiroyuki Yamada, Satoshi Inomata, and Hiroshi Tanimoto Environmental Science &

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DPF Regeneration

Epractical& (x)Technology = r(x) × Enorm(x) Page Environmental 1>23 ofnm40 Science Particles Soot due to lowered filtering efficiency.

r(x) :the Regeneration Correction Factor of species x

VOCs Smaller species

Emission(x)

Regeneration Interval Particles < 23 nm H2SO4/SO3 trapped by Cat.

Epractical(x): Average during regeneration interval

Regeneration Enorm(x) Car Millage

ACS Larger Paragon Plus Environment Species r(PM) = 1.2 to 1.5 Time

r(PN>23nm) = 3.9 to 57.4 r(PN > 2.5nm) = 9.7 to 137.4

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Mechanisms of Increased Particle and VOC Emissions during DPF Active Regeneration and Practical Emissions Considering Regeneration Hiroyuki Yamada,a,* Satoshi Inomata, b Hiroshi Tanimotob a

Environmental Research Division, National Traffic Safety and Environment Laboratory, 7-42-

27, Jindaiji-higashimachi, Chofu, Tokyo 182-0012, Japan b

Center for Global Environmental Research, National Institute for Environmental Studies, 16-2

Onogawa, Tsukuba, Ibaraki 305-8506, Japan *

Corresponding author. E-mail: [email protected]; Tel: +81-422-41-3220; Fax: +81-422-76-

8604.

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ABSTRACT

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Mechanisms involved in increased particle and volatile organic compound (VOC)

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emissions during active and parked active regenerations of a diesel particulate filter (DPF) were

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investigated using heavy-duty trucks equipped with both a urea selective catalytic reduction

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system and a DPF (SCR + DPF) and a DPF-only. Particle emissions increased in the later part of

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the regeneration period but the mechanisms were different above and below 23 nm. Particles

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above 23 nm were emitted due to the lower filtering efficiency of the DPF because of the

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decreasing amount of soot trapped during regeneration. Small particles below 23 nm were

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thought to be mainly sulfuric acid particles produced from SO2 trapped by the catalyst, being

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released and oxidized during regeneration. Contrary to the particle emissions, VOCs increased in

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the earlier part of the regeneration period. The mean molecular weights of the VOCs increased

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gradually as the regeneration proceeded. To evaluate “practical emissions” in which increased

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emissions during the regeneration were considered, a Regeneration Correction Factor (RCF),

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which is the average emission during one cycle of regeneration/emission in normal operation,

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was adopted. The RCFs of PM and VOCs were 1.1 to 1.5, and those of PNs were as high as 3 to

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140, although they were estimated from a limited number of observations.

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KEYWORDS Active Regeneration, Diesel Particulate Filter, Volatile Organic Compounds,

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Particle Numbers, Regeneration Correction Factor.

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1. Introduction

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Emissions from diesel engines have been recognized as one of the sources causing air

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pollution [1], and great efforts have been made to reduce such emissions. In fact, the regulation

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limit of particulate matter (PM) for heavy-duty engines in Japan was lowered to 0.01 g/kWh in

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2010 from the previous limit of 0.7 g/kWh in 1994 [2]. This trend is not particular to Japan, and

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the situations in the US and Europe are similar. A key technology enabling lower particle

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emissions from diesel engines was the development of the diesel particulate filter (DPF) [3-5].

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The DPF is an aftertreatment device whose filtering efficiency is over 90 % [6, 7]. Indeed, PM

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emitted from DPFs is sometimes too low to be detected with the traditional filter weighing

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method, and the particle number (PN) counting method is often used because it is considered to

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have higher sensitivity [8, 9].

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The particles trapped by a DPF must be burnt up during the so-called regeneration period.

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Our previous study [10] revealed that PN emissions during regeneration that occurred once every

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20 tests are thousands of times higher than those in normal operation (in a test without active

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regeneration). And PN in just one test accompanying the regeneration accounted for 81 % of the

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total emission in 20 tests, suggesting the importance of evaluating emissions during regeneration.

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It is known that there are three types of regeneration process, called passive regeneration,

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active regeneration, and parked active regeneration. The passive regeneration process is an

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uncontrolled process in which the trapped particles start to be oxidized automatically as a result

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of the increased exhaust gas temperature during a high-load operation. Retrofitted DPFs perform

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only this type of regeneration. Active regeneration is regeneration that is controlled by the engine

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computer while driving. In this process, the exhaust gas temperature is increased by injecting

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fuel into the engine exhaust, inducing oxidation. Parked active regeneration is a driver-controlled

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process carried out when requested by the engine computer. This occurs in cases where the DPF

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is almost filled with particles by continued low-load operation in which the exhaust temperature

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is too low to start the active regeneration. In such a situation, the engine computer lights an

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indicator showing that manual regeneration should be performed. The driver, upon noticing the

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indicator, puts the vehicle in the idling state and starts parked active regeneration by pushing the

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regeneration start button.

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Some studies have examined the performance of DPFs for treating exhaust emissions,

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including the regeneration period [11-15]. Dwyer et al. [15] observed increased emissions of

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particles below 20 nm during regeneration in a light-duty vehicle called the “Golden Vehicle”,

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which was used for a test sequence for introducing the PN counting method into certification for

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light-duty diesel vehicles in Europe [8]. Similar emissions of small particles (below 20 nm),

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which are peculiar to regeneration, from the passive regeneration of retrofitted catalytic DPFs

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were observed in several studies [16-18]. These findings suggest that the particles were semi-

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volatile sulfate particles because these emissions were affected by the dilution factor. However,

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these studies concluded that further information is needed to fully understand the nature of the

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small particles. Small particles were also observed during active and parked active regenerations

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[19, 20], but the nature of the particles was not reported. A recent study reported that these small

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particles could be sulfuric acid [21], and more detailed investigation of such small particles has

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been an emerging issue. As for emissions other than particles, volatile organic compounds

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(VOCs) have also been paid attention because of their direct adverse effects on health and

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conversion to ozone [22]. Some studies reported increased VOC emissions during regeneration

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[10, 19], but no discussions were made about their composition and how they are emitted.

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In the process of certification, increased emissions during the regeneration mentioned above

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have been considered. “Practical emissions”, which are average emissions that take account of

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the appearance of DPF regeneration, have been used for the certification [23, 24]. Important

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factors in estimating the practical emissions are the regeneration interval, which is how far the

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vehicle can run between two active regenerations, and the increased amount of emissions in the

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test with the regeneration relative to normal operation. These data are supplied from the

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manufacturer in the process of certification, but are not available to the public. Furthermore,

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there has been no study that considers these factors in discussing the actual impact of emissions

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from vehicles equipped with DPFs on the atmosphere.

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This study focuses on the mechanism of increased PM, PNs above and below 23 nm, VOCs

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and regulated gas emissions during active and parked active regenerations in heavy-duty vehicles

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that comply with the 2010 Japanese regulations (PM: 0.01 g/kWh, NOx: 0.7 g/kWh) with real-

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time PN and VOC analysis. Then, we discuss the increased emissions by considering the

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appearance of regenerations and by introducing a Regeneration Correction Factor (RCF) which

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is equivalent to the adjustment coefficients Ki and Kr used in certification [23, 24], to estimate

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practical emissions from the vehicles with DPF by multiplying this factor by the exhaust

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emissions in normal operation.

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2. Experimental methods

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2.1. Outline of chassis dynamometer tests

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In this study, using a chassis dynamometer, we observed exhaust emissions from three

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heavy-duty trucks, two of which were equipped with a urea selective catalytic reduction (SCR)

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system and DPF (SCR+DPF). We repeated the mode tests a total of 50 times (43 normal

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operation and 7 active regenerations) and performed a single parked active regeneration test. The

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diesel fuel used in this study was obtained from the Japanese market and its sulfur content was

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below 10 ppmV.

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PN based on the Particle Measurement Programme (PMP) methodology [23, 24] and

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alternative counters, PM, regulated gases, SO2 and VOCs were measured during the regeneration

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period. Details are shown in Fig. 1. The tested trucks were set on the chassis dynamometer, and

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all of the exhaust gas was introduced into a constant-volume sampler (CVS), where it was

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diluted with filtered air. Non-methane hydrocarbon (NMHC), CO, NOx, and CO2 were measured

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using a MEXA-7500DEGR (Horiba Inc., Kyoto, Japan). PM was trapped by a glass fiber filter

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(TX40HI20WW47mm, Pall, USA) and weighed. These measurement systems meet the

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requirements of certification in Japan. For the measurement of SO2, we used MEXA-4000FT

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(Horiba Inc., Kyoto, Japan), which is based on Fourier Transform Infrared Spectroscopy (FT-

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IR). For the measurement of SO2, direct exhaust gas was measured instead of diluted exhaust

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using the CVS. Ion chromatography (ICS-1000, Dionex, USA) was used to perform composition

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analysis of the PM and the analytical method was based on a Japanese guideline for PM2.5

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composition analysis proposed by the Japanese Ministry of the Environment [25]. A detailed

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explanation can be found in Section S1 of the supporting information. Observed ions were Cl-,

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NO2-, NO3-, SO42-, Na+, NH4+, K+, Mg2+ and Ca2+. In some cases, real-time emissions of alkanes,

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alkenes, aromatics and di-enes were measured using a proton transfer reaction plus switchable

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reagent ion mass spectrometry (PTR+SRI-MS). Detailed information can be found in Section S2

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of the supporting information and elsewhere [26, 27].

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2.2. PN Measurement

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The PNs in different size ranges were measured simultaneously with a PN measurement

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system (AVL Particle Counter; APC, AVL Inc., Austria) that meets the requirements of the PMP

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[23, 24] and two additional condensation particle counters (CPCs). Details are described in our

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previous study [28]. Particles were sampled downstream of the CVS. In the APC, particles with

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relatively high volatility were removed by a Volatile Particle Remover (VPR), and mainly solid

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particles were counted by a Particle Number Counter (PNC) whose 50% detection efficiency

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particle diameter (D50) is 23 nm. In this study, we named the PN observed with this PNC PN_23,

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which indicates the number of low-volatility particles above 23 nm. In addition to the normal

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PNC, to measure the particles below 23 nm, we used two CPCs (CPC 3776, TSI Inc.; CPC3772,

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TSI Inc.) whose D50 values were 2.5 nm and 10 nm, respectively downstream of the VPR. We

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named the PN obtained by these counters PN_2.5 and PN_10, indicating the numbers of particles

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above 2.5 nm and 10 nm, respectively, with volatility low enough to survive under the conditions

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in the VPR. Thus, we could measure particles in three different size ranges simultaneously, and

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the difference between PN_23 and PN_2.5 indicates PNs in the size range 2.5–23 nm. Similarly,

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the difference between PN_23 and PN_10 corresponds to particles in the size range 10–23 nm.

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The PMP methodology was established to measure particles above 23 nm; hence, some

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verifications are needed before it can be applied to particles below 23 nm. Particle loss in the

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VPR was corrected based on the PMP methodology using the average loss at particle sizes of 30,

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50 and 100 nm. Our previous study revealed that the loss at 15 nm was almost 30% [28], which

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is higher than the average value used in the PMP methodology. Thus, the PNs below 23 nm

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discussed in this study might be underestimated by up to 50 %. The removal efficiency of

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volatile particles below 23 nm at the VPR will be higher than the PMP requirement (over 99 %)

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because smaller particles can be evaporated easier. Formation of particles below 23 nm at the

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VPR should be evaluated in detail. However, the observed small particles below 23 nm in this

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study exhibited similar features to those observed in other studies using particle counters without

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the VPR, suggesting that the formation of particles below 23 nm was negligible.

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The approach adopted in this study is similar to former studies [16, 18] in which it was

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reported that small particles around 10 nm were semi-volatile particles, because these particles

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decreased when the dilution factor at the VPR was increased from 110 to 1500. To minimize the

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effect of these semi-volatile particles, we used a dilution factor of 3000.

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2.3. Tested vehicles, mode and occurrence of regeneration

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We named the trucks tested in this study “DPFt”, “SCRta” and “SCRtb”. As listed in Table

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1, all of the trucks were equipped with a catalyzed DPF and meet the 2010 Japanese regulations.

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DPFt was only equipped with a diesel oxidation catalyst (DOC) followed by a catalyzed DPF.

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SCRta and SCRtb had a SCR + DPF to reduce both PM and NOx. The order of devices is: DOC,

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catalyzed DPF, SCR system, and DOC for an ammonia slip. The test mode used in this study

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was the JE05 mode (duration: 1830 s, distance: 13.9 km), which is used in the Japanese

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certification for heavy-duty engines. In the certification, a preconditioning cycle is performed

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before the emissions tests. In this study, however, we repeated the emission tests without the

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preconditioning cycle. When the former test ended, we shut down the engine for 10 minutes and

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then started a new test. The test matrix in this study is listed in table S1 in the Supporting

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Information. During the test sequence, we observed three active regenerations with DPFt, two

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active regenerations with SCRta, and two active regenerations with SCRtb. We named these

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active regenerations after the name of the truck followed by a hyphen and an individual number

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(DPFt-1, SCRta-2 etc.). We also performed manually started parked active regeneration with

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SCRtb and named this “SCRtb-M”.

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Table 2 summarizes detailed information about the seven observed active regenerations and

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the single parked active regeneration. In the observed active regenerations, only SCRtb-1

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appeared in the later part of the test mode and continued to the end of the test mode. Thus, we

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shut down the engine although regeneration still continued. Therefore, SCRtb-1 appeared only in

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the earlier part of regeneration, and the DPF was not cleaned completely. In the case of parked

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active regeneration, the truck was left idling, and the exhaust emissions were measured for 1830

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s, which is equal to the duration of the JE05 mode.

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The regeneration interval varied depending on the test vehicles. The regeneration interval of

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DPFt was 100 km, estimated from the odometer mileage between DPFt-1 and DPFt-2. We did

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not adopt the mileage from DPFt-2 to DPFt-3, because some regenerations took placed between

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DPFt-2 and DPFt-3. On the other hand, the regeneration interval of SCRta was almost 1100 km,

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which is 10-times longer than that of DPFt. We could not estimate the regeneration interval of

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SCRtb because the DPF was not fully refreshed in SCRtb-1 for the reason described above. Thus,

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we assumed that the regeneration interval of SCRtb was similar to that of SCRta (1100 km)

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because they had similar aftertreatment systems and were made by the same manufacturer.

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3. Results and Discussion

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3.1. Practical emissions and comparisons with normal operation

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The results for PN_23, PN_2.5 and PN_10 regulated emissions in all active regenerations

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and normal operation (no regeneration) are summarized in Table 3. The tests numbers for normal

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operation are also listed in Table 3. Most of the emissions in the regenerations were higher than

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those in normal operation. The emissions of NOx and CO2 observed in some tests showed

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correlation to the duration of the regeneration periods. For example, DPFt-1 continued longer

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than DPFt-2 and DPFt-3 (see Table 2), and NOx and CO2 emissions in DPFt-1 were higher than

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the others. This is because commonly the injection of fuel to increase the exhaust gas

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temperature to cause regeneration resulted in increased NOx and CO2 emissions. The same

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feature was also observed in the results of SCRta and SCRtb, except for the NOx level of SRCtb.

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The duration of SCRtb-1 was shorter than the other regenerations of SCRta and SCRtb because it

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appeared in the later part of test mode and had terminated by the end of test mode, resulting in

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slight increases compared with the normal operation.

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PN_23, PN_10 and PN_2.5 emissions in the regeneration periods of DPFt, SCRta SCRtb

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except SCRtb-1 were almost 500-times higher than those in normal operation. The PNs in

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SCRtb-1 were similar to those in normal operation. This is due to not only the short duration

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discussed above but also the fact that only the earlier part of the regeneration appeared in SCRtb-

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1. As discussed in detail in Sections 3.2 and 3.3, PN emissions increased only in the later part of

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the regeneration period.

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Effects of increased emissions during the regeneration on practical emissions will be discussed in Section 4 by considering the frequency of appearance of the active regenerations.

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3.2. Emission profiles of DPF-only truck (DPFt).

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PN_23 and PN_2.5 profiles of all three active regenerations with the DPF-only truck (DPFt)

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are shown in Fig. 2. The SO2 profile in DPFt-3 is also shown in this figure. All regenerations

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exhibited the common features described below. PN_23 gradually increased in the regeneration

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period, and it remained at a relatively high level even after the regeneration. This is in agreement

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with the feature observed in our previous study [10], and it can be explained by the amount of

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soot in the DPF. It is known that the filtering efficiency is affected by the amount of trapped soot.

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The DPF shows a higher efficiency when it is filled with a lot of soot, and the efficiency falls

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with less soot. During the regeneration period, the loaded soot was oxidized and removed. Then

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PN emission increased due to the falling DPF filtering efficiency. After the regeneration period,

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the amount of loaded soot was still low, and high emissions continued for a while.

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PN_2.5 (number of particles above 2.5 nm) increased rapidly also in the later part but

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earlier than the increases of PN_23 (number of particles above 23 nm). As described above, the

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difference between PN_23 and PN2.5 indicates PNs in range 2.5–23 nm (indicated by “2.5