Effect of fuel composition on properties of particles emitted from a diesel–natural gas dual fuel engine

2019 ◽  
Vol 22 (1) ◽  
pp. 77-87 ◽  
Author(s):  
Ali Momenimovahed ◽  
Fengshan Liu ◽  
Kevin A Thomson ◽  
Gregory J Smallwood ◽  
Hongsheng Guo
Keyword(s):  
Particle Size ◽  
Natural Gas ◽  
Particle Size Distribution ◽  
Photoacoustic Spectroscopy ◽  
Mass Concentration ◽  
Particle Mass ◽  
Effective Density ◽  
Dual Fuel ◽  
Mass Analyzer ◽  
Optical Analysis

The effective density and mixing state of particles emitted from a natural gas–diesel dual fuel engine are investigated. Measurements were conducted at three different fuel compositions including 100% diesel fuel (0% NG), 75% diesel–25% natural gas (25% NG) and 50% diesel–50% NG (50% NG). The particle effective density was measured using a differential mobility analyzer in series with a centrifugal particle mass analyzer. A catalytic stripper at 350 °C was employed upstream of the centrifugal particle mass analyzer in order to remove the semi-volatile material from the solid particles to measure the effective density of non-volatile particles as well as the particle mixing state. A scanning mobility particle sizer was used to measure the particle size distribution. The particle mass concentration was also measured using several techniques including cavity-attenuated phase-shift particulate matter single-scattering albedo, laser-induced incandescence, thermal-optical analysis, photoacoustic spectroscopy, and integrated particle size distribution. The semi-volatile number and mass fractions are found to be lower than 15%. The effective density functions of particles at 0% and 25% NG are within 6% of each other; however, the effective density values of particles at 50% NG are lower than those of the 0% NG by up to 35%. The mass-mobility exponent varies in the range of 2.42–2.51 and 2.38–2.54 for undenuded and denuded particles, respectively. For the mass concentration measurements, photoacoustic spectroscopy agrees with thermal-optical analysis within 5%, while all the other techniques measure up to 50% deviations relative to thermal-optical analysis.

scholarly journals Simulation of Volcanic Ash Ingestion Into a Large Aero Engine: Particle–Fan Interactions

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Andreas Vogel ◽  
Adam J. Durant ◽  
Massimo Cassiani ◽  
Rory J. Clarkson ◽  
Michal Slaby ◽  
...  
Keyword(s):  
Particle Size ◽  
Stream Flow ◽  
Mass Concentration ◽  
Volcanic Ash ◽  
Particle Mass ◽  
Core Flow ◽  
Turbine Engine ◽  
The Core ◽  
Core Section ◽  
Particle Mass Concentration

Volcanic ash (VA) clouds in flight corridors present a significant threat to aircraft operations as VA particles can cause damage to gas turbine engine components that lead to a reduction of engine performance and compromise flight safety. In the last decade, research has mainly focused on processes such as erosion of compressor blades and static components caused by impinging ash particles as well as clogging and/or corrosion effects of soft or molten ash particles on hot section turbine airfoils and components. However, there is a lack of information on how the fan separates ingested VA particles from the core stream flow into the bypass flow and therefore influences the mass concentration inside the engine core section, which is most vulnerable and critical for safety. In this numerical simulation study, we investigated the VA particle–fan interactions and resulting reductions in particle mass concentrations entering the engine core section as a function of particle size, fan rotation rate, and for two different flight altitudes. For this, we used a high-bypass gas-turbine engine design, with representative intake, fan, spinner, and splitter geometries for numerical computational fluid dynamics (CFD) simulations including a Lagrangian particle-tracking algorithm. Our results reveal that particle–fan interactions redirect particles from the core stream flow into the bypass stream tube, which leads to a significant particle mass concentration reduction inside the engine core section. The results also show that the particle–fan interactions increase with increasing fan rotation rates and VA particle size. Depending on ingested VA size distributions, the particle mass inside the engine core flow can be up to 30% reduced compared to the incoming particle mass flow. The presented results enable future calculations of effective core flow exposure or dosages based on simulated or observed atmospheric VA particle size distribution, which is required to quantify engine failure mechanisms after exposure to VA. As an example, we applied our methodology to a recent aircraft encounter during the Mt. Kelud 2014 eruption. Based on ambient VA concentrations simulated with an atmospheric particle dispersion model (FLEXPART), we calculated the effective particle mass concentration inside the core stream flow along the actual flight track and compared it with the whole engine exposure.

scholarly journals Insight into winter haze formation mechanisms based on aerosol hygroscopicity and effective density measurements

2017 ◽  
Author(s):  
Yuanyuan Xie ◽  
Xingnan Ye ◽  
Zhen Ma ◽  
Ye Tao ◽  
Ruyu Wang ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Particle Growth ◽  
Water Soluble ◽  
Effective Density ◽  
Pollution Level ◽  
Formation Mechanisms ◽  
Haze Pollution ◽  
Haze Formation

Abstract. We characterize a representative haze event from a series of periodic particulate matter (PM) episodes that occurred in Shanghai during winter 2014. Particle size distribution, hygroscopicity, and effective density were measured online, along with analysis of water-soluble inorganic ions and single particle mass spectrometry. Regardless of pollution level, the mass ratio of SNA/PM1.0 (sulfate, nitrate, and ammonium) slightly fluctuated around 0.28 over the whole observation, suggesting that both secondary inorganic compounds and carbonaceous aerosols (including soot and organic matter) contributed substantially to the haze formation. Nitrate was the most abundant ionic species during hazy periods, indicating that NOx contributed more to haze formation in Shanghai than did SO2. The calculated PM concentration from particle size distribution displayed a variation pattern similar to that of measured PM1.0 during the representative PM episode, indicating that enhanced pollution level was attributable to the elevated number of larger particles. The number fraction of the near-hydrophobic group increased as the PM episode developed, indicating accumulation of local emissions. Three "banana-shape" particle evolutions were consistent with the rapid increase in PM1.0 mass loading, indicating rapid size growth by condensation of condensable materials was responsible for the severe haze formation. Both hygroscopicity and effective density of the particles increased considerably with growing particle size during the banana-shaped evolutions, indicating that secondary transformation of NOx and SO2 was a major contributor to the particle growth. Our results suggest that the accumulation of gas-phase and particulate pollutants under stagnant meteorological conditions and subsequent rapid particle growth by secondary processes, were primarily responsible for the haze pollution in Shanghai during wintertime.

scholarly journals Aerosol effective density measurement using scanning mobility particle sizer and quartz crystal microbalance with the estimation of involved uncertainty

2015 ◽  
Vol 8 (12) ◽  
pp. 12887-12931
Author(s):  
B. Sarangi ◽  
S. G. Aggarwal ◽  
D. Sinha ◽  
P. K. Gupta
Keyword(s):  
Quartz Crystal Microbalance ◽  
Mass Concentration ◽  
Quartz Crystal ◽  
Aerosol Particles ◽  
Particle Mass ◽  
Effective Density ◽  
Substantial Contribution ◽  
New Delhi ◽  
Scanning Mobility Particle Sizer ◽  
Particle Sizer

Abstract. In this work, we have used scanning mobility particle sizer (SMPS) and quartz crystal microbalance (QCM) to estimate the effective density of aerosol particles. This approach is tested for aerosolized particles generated from the solution of standard materials of known density, i.e. ammonium sulfate (AS), ammonium nitrate (AN) and sodium chloride (SC), and also applied for ambient measurement in New Delhi. We also discuss uncertainty involved in the measurement. In this method, dried particles are introduced in to a differential mobility analyzer (DMA), where size segregation was done based on particle electrical mobility. At the downstream of DMA, the aerosol stream is subdivided into two parts. One is sent to a condensation particle counter (CPC) to measure particle number concentration, whereas other one is sent to QCM to measure the particle mass concentration simultaneously. Based on particle volume derived from size distribution data of SMPS and mass concentration data obtained from QCM, the mean effective density (ρeff) with uncertainty of inorganic salt particles (for particle count mean diameter (CMD) over a size range 10 to 478 nm), i.e. AS, SC and AN is estimated to be 1.76 ± 0.24, 2.08 ± 0.19 and 1.69 ± 0.28 g cm−3, which are comparable with the material density (ρ) values, 1.77, 2.17 and 1.72 g cm−3, respectively. Among individual uncertainty components, repeatability of particle mass obtained by QCM, QCM crystal frequency, CPC counting efficiency, and equivalence of CPC and QCM derived volume are the major contributors to the expanded uncertainty (at k = 2) in comparison to other components, e.g. diffusion correction, charge correction, etc. Effective density for ambient particles at the beginning of winter period in New Delhi is measured to be 1.28 ± 0.12 g cm−3. It was found that in general, mid-day effective density of ambient aerosols increases with increase in CMD of particle size measurement but particle photochemistry is an important factor to govern this trend. It is further observed that the CMD has good correlation with O3, SO2 and ambient RH, suggesting that possibly sulfate secondary materials have substantial contribution in particle effective density. This approach can be useful for real-time measurement of effective density of both laboratory generated and ambient aerosol particles, which is very important for studying the physico-chemical property of particles.

scholarly journals Particle size distribution factor as an indicator for the impact of the Eyjafjallajökull ash plume at ground level in Augsburg, Germany

2011 ◽  
Vol 11 (6) ◽  
pp. 16417-16437 ◽  
Author(s):  
M. Pitz ◽  
J. Gu ◽  
J. Soentgen ◽  
A. Peters ◽  
J. Cyrys
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Long Range ◽  
Mass Concentration ◽  
Volcanic Ash ◽  
Size Range ◽  
Ground Level ◽  
Saharan Dust ◽  
Ash Plume ◽  
The Impact

Abstract. During the time period of the Eyjafjallajökull volcano eruption in 2010 increased mass concentration of PM10 (particulate matter, diameter <10 μm) were observed at ground level in Augsburg, Germany. In particular on 19 and 20 April 2010 the daily PM10 limit value of 50 μg m−3 was exceeded. Because ambient particles are in general a complex mixture originating from different sources, a source apportionment method (positive matrix factorization; PMF) was applied to particle size distribution data in the size range from 3 nm to 10 μm to identify and estimate the volcanic ash contribution to the overall PM10 load in the ambient air in Augsburg. A PMF factor with relevant particle mass concentration in the size range between 1 and 4 μm (maximum at 2 μm) was associated with long range transported dust. This factor increased from background concentration to high levels simultaneously with the arrival of the volcanic ash plume in the planetary boundary layer. Hence, we assume that this factor could be used as an indicator for the impact of the Eyjafjallajökull ash plume on ground level in Augsburg. From 17 to 22 April 2010 long range transported dust factor contributed on average 30.2 % (11.6 μg m−3) to PM10. On 19 April 2010 at 20:00 UTC+1 the maximum percentage of the long range transported dust factor accounted for around 65 % (35 μg m−3) to PM10 and three hours later the maximum absolute value with around 48 μg m−3 (61 %) was observed. Additional PMF analyses for a Saharan dust event occurred in May and June 2008 suggest, that the long range transported dust factor could also be used as an indicator for Saharan dust events.

scholarly journals Sensitivity of a Q-ACSM to chamber generated SOA with different oxidation states

2018 ◽  
Author(s):  
Xiaoxiao Li ◽  
Yan Ma ◽  
Hui Chen ◽  
Youling Jiang ◽  
Xin Ma ◽  
...  
Keyword(s):  
Oxidation State ◽  
Mass Concentration ◽  
Collection Efficiency ◽  
Glassy State ◽  
Photochemical Oxidation ◽  
Oxidation States ◽  
Effective Density ◽  
Mass Analyzer ◽  
Scanning Mobility Particle Sizer ◽  
Aerosol Mass Concentration

Abstract. The accuracy in quantification of secondary organic aerosols (SOA) using a Q-ACSM has been comprehensively investigated in this work. SOA samples were generated under simulated photochemical oxidation conditions in a 4.5 m3 Teflon chamber from three different volatile organic compounds (VOC) of atmospheric relevant concentrations (dozens of ppbv): α-pinene, isoprene, and toluene, representing both biogenic and anthropogenic VOC. Different SOA oxidation states were achieved by changing the relative ratio of the VOC precursor to the oxidants (O3 or OH). A scanning mobility particle sizer (SMPS) and an aerosol particle mass analyzer (APM) were used to determine the number-size distribution and the exact mass of the chamber-generated SOA, which were then used to deduce the SOA effective density and mass concentration. Results showed that aerosol mass concentration measured by the Q-ACSM based on SMPS calibration alone may be associated with considerable errors due to the fact that the effective density of SOA at different oxidation state can change substantially. More importantly, the sensitivity of the Q-ACSM to a specific type of SOA was found to be anti-correlated with the aerosol oxidation state regardless of the VOC precursors. This may be due to the decreasing of relative ionization efficiency (RIE) or the collection efficiency (CE) of the Q-ACSM for more oxidized SOA. To pinpoint the actual cause, ammonium sulfate ((NH4)2SO4) seed particles were injected into the chamber before SOAs were produced and the CE for a specific SOA sample was hence determined with reference to the changes in sulfate signals. Our experiment results along with previous literature reports strongly implied that as the SOA oxidation state increases, SOA will transform gradually from a liquid state (CE ≈ 1) into a solid (or glassy) state with a CE of 0.2~0.5. Meanwhile, the RIE of OA decreased substantially when SOA transformed from hydrocarbon-like OA (HOA) into more oxygenated OA (OOA) and may further decrease as O/C continued to increase. Our results indicated that the current Q-ACSM calibration procedure using a constant RIE may lead to somewhat underestimation of more oxidized OOA but overestimation of less oxidized HOA, i.e., a variable RIE shall be applied, most likely as a function of the SOA oxidation state.

Analysis of Aerosol Particle Size Distribution,Visibility and Mass Concentration of PM10 in Beijing City During Beijing 2008 Olympics

2010 ◽  
Vol 30 (7) ◽  
pp. 1931-1937
Author(s):  
王杰 Wang Jie ◽  
刘建国 Liu Jianguo ◽  
陆亦怀 Lu Yihuai ◽  
刘文清 Liu Wenqing ◽  
伍德侠 Wu Dexia ◽  
...  
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Aerosol Particle ◽  
Mass Concentration ◽  
Beijing City ◽  
Aerosol Particle Size

Study on the Influence of Air Tightness of the Building Envelope on Indoor Particle Concentration

2020 ◽  
Vol 12 (5) ◽  
pp. 1708 ◽  
Author(s):  
Liang Yu ◽  
Ning Kang ◽  
Weikuan Wang ◽  
Huiyu Guo ◽  
Jia Ji
Keyword(s):  
Particle Size ◽  
Particulate Matter ◽  
Mass Concentration ◽  
Penetration Rate ◽  
Particle Mass ◽  
Office Building ◽  
Measuring Point ◽  
Ratio Measurement ◽  
Air Tightness ◽  
Particle Mass Concentration

In order to grasp the building palisade structure tightness of indoor particulate matter mass concentration based on the particle penetration mechanism and settlement characteristics, this article analyzes the measurements of two different types of building air tightness of a Shenyang university office building in terms of indoor and outdoor particulate matter mass concentration levels from 2016-1-09 to 1-22, 2016-7-18 to 8-03, and 2017-2-28 to 3-13. The building outside the closed window that had no indoor source condition, the indoor office building and outdoor particle mass concentration, and the aperture size and shape of the envelope were analyzed to carry on the numerical simulation research by Fluent software, which was then analyzed; the results reveal that the measuring point of the I/O ratio is less than point B of the I/O ratio, measurement points of A linear regression fitting degree is lower than the fit of the measuring point B, and the causes for the measuring point A tightness (level 8) is superior to the measuring point B (level 4). When the gap height h is greater than 0.5 mm, the penetration rate of particles within the range of 0.25–2.5 μm particle size is close to 1. In different gap depths, the penetration rate of particles within the range of 0.1–1 μm particle size was close to 1. In diverse pressure difference, the 0.25–2.5 μm particles within the scope of penetration rate P is close to 1, the gap on both sides of the differential value ΔP; the greater the particle, the higher penetration rate. The larger the right-angle number of gap n, the lower the penetration rate of particles. The L-shaped gap and U-shaped gap have significantly better barrier effects in larger and smaller particles than the rectangular gap. The research results in this paper can help people understand and effectively control the influence of outdoor particles on the indoor air quality and provide reference data for the prediction of indoor particle mass concentration in buildings, which has theoretical basis and practical significance.

scholarly journals Particle size distribution factor as an indicator for the impact of the Eyjafjallajökull ash plume at ground level in Augsburg, Germany

2011 ◽  
Vol 11 (17) ◽  
pp. 9367-9374 ◽  
Author(s):  
M. Pitz ◽  
J. Gu ◽  
J. Soentgen ◽  
A. Peters ◽  
J. Cyrys
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Long Range ◽  
Mass Concentration ◽  
Volcanic Ash ◽  
Size Range ◽  
Ground Level ◽  
Saharan Dust ◽  
Ash Plume ◽  
The Impact

Abstract. During the time period of the Eyjafjallajökull volcano eruption in 2010 increased mass concentration of PM10 (particulate matter, diameter <10 μm) were observed at ground level in Augsburg, Germany. In particular on 19 and 20 April 2010 the daily PM10 limit value of 50 μg m−3 was exceeded. Because ambient particles are in general a complex mixture originating from different sources, a source apportionment method (positive matrix factorization (PMF)) was applied to particle size distribution data in the size range from 3 nm to 10 μm to identify and estimate the volcanic ash contribution to the overall PM10 load in the ambient air in Augsburg. A PMF factor with relevant particle mass concentration in the size range between 1 and 4 μm (maximum at 2 μm) was associated with long range transported dust. This factor increased from background concentration to high levels simultaneously with the arrival of the volcanic ash plume in the planetary boundary layer. Hence, we assume that this factor could be used as an indicator for the impact of the Eyjafjallajökull ash plume on ground level in Augsburg. From 17 to 22 April 2010 long range transported dust factor contributed on average 30 % (12 μg m−3) to PM10. On 19 April 2010 at 20:00 UTC+1 the maximum percentage of the long range transported dust factor accounted for around 65 % (35 μg m−3) to PM10 and three hours later the maximum absolute value with around 48 μg m−3 (61 %) was observed. Additional PMF analyses for a Saharan dust event occurred in May and June 2008 suggest, that the long range transported dust factor could also be used as an indicator for Saharan dust events.

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