[논문]Characterization of Condensable Particulate Matter Emissions in Agricultural Diesel Engines Using a Dilution-Based Sampling Train

Cano, M.; Vega, F.; Palomo, D.; Serrano, J.; Navarrete, B.

doi:10.1021/acs.energyfuels.8b03480

Characterization of Condensable Particulate Matter Emissions in Agricultural Diesel Engines Using a Dilution-Based Sampling Train

Energy & fuels : an American Chemical Society journal, v.33 no.2, 2019년, pp.779 - 787

Cano, M. (Department of Chemical and Environmental Engineering, School of Engineering , University of Seville , C) , Vega, F. (Department of Energy Engineering, School of Engineering , University of Seville , C) , Palomo, D. (Department of Energy Engineering, School of Engineering , University of Seville , C) , Serrano, J. (Department of Chemical and Environmental Engineering, School of Engineering , University of Seville , C) , Navarrete, B.

Abstract ▼ AI-Helper

Particulate matter, especially fine particulate matter (PM2.5) originating from the combustion of fossil fuels, has become the main cause of air pollution [Feng, Y.; Fuel2018, 224, 801−813]. There is currently growing interest worldwide in maintaining the emissions of these particles within levels, which allows preventing their negative effects on the environment and human health. The PM2.5 fraction of the particles emitted by stationary and mobile sources is comprised of both filterable particulate matter (FPM) and condensable particulate matter (CPM). Environmental regulations do not envisage readings of the CPM fraction, even though it has been shown that in some characterized sources, this type of particle represents higher emissions than FPM [Li, J.; Energy Fuels2017, 31, 1778−1785;Cano, M.; Energy Fuels2017, 31, 7831-7838;Goodman, N.; Stationary Source Test Methods for Condensible Particulate Matter and PM2.5; Electric Power Research Institute, 2006; Vol. 3, pp 1-34;Yang, H.; Aerosol Air Qual. Res.2015, 15, 1672-1680]. Given above, it is vitally important to quantify the CPM fraction of the different types of sources and to establish the best measurement method by ensuring its reproducibility and accuracy. This work presents an estimate of the contribution of CPM to total PM2.5 emissions deriving from Non-Road Mobile Machinery (NRMM). Specifically, it presents the results of CPM and FPM concentrations emitted by an agricultural diesel engine, obtained using a dilution sampling train developed by the Department of Chemical and Environmental Engineering (DIQA, according to its Spanish acronym) in accordance with the method EPA CTM-039, as well as chemical analysis of the samples, obtained using the combined ion chromatography-mass spectrometry technique. The conclusions reached in this study confirm that the ratio of CPM/FPM concentrations oscillates between 0.29 and 0.36, depending on the conditions under which the engine is working, that the CPM emissions increase as the engine torque rises and that quantifying CPM as particulate matter emitted by the NRMM would raise the percentage of total annual PM2.5 emissions by up to 1.65%.

참고문헌 (32)

Feng, Yupeng, Li, Yuzhong, Cui, Lin. Critical review of condensable particulate matter. Fuel, vol.224, 801-813.

상세보기
Li, Jingwei, Qi, Zhifu, Li, Min, Wu, Dongli, Zhou, Chenyang, Lu, Shengyong, Yan, Jianhua, Li, Xiaodong. Physical and Chemical Characteristics of Condensable Particulate Matter from an Ultralow-Emission Coal-Fired Power Plant. Energy & fuels : an American Chemical Society journal, vol.31, no.2, 1778-1785.

상세보기
Cano, M., Vega, F., Navarrete, B., Plumed, A., Camino, J. A.. Characterization of Emissions of Condensable Particulate Matter in Clinker Kilns Using a Dilution Sampling System. Energy & fuels : an American Chemical Society journal, vol.31, no.8, 7831-7838.

상세보기
Goodman, N. Stationary Source Test Methods for Condensible Particulate Matter and PM2.5 ; Electric Power Research Institute, 2006; Vol. 3, pp 1-34.
Yang, Hsi-Hsien, Lee, Kuei-Ting, Hsieh, Yueh-Shu, Luo, Shao-Wei, Huang, Ru-Jyun. Emission Characteristics and Chemical Compositions of both Filterable and Condensable Fine Particulate from Steel Plants. Aerosol and air quality research, vol.15, no.4, 1672-1680.

상세보기
WHO. Ambient (outdoor) air quality and health, News-Fact Sheets. http://www.who.int/news-room/fact-sheets/detail/ambient-%28outdoor%29-air-quality-and-health, 2018.
EPA. Method 202-Dry Impinger Method for Determining Condensable Particulate Emissions from Stationary Sources , 2010.
EUROPEAN, COMMISSION. COMMISSION DELEGATED REGULATION (EU) ./. of 19.12.2016 Supplementing Regulation (EU) 2016/1628 of the European Parliament and of the Council with Regard to Monitoring of Gaseous Pollutant Emissions from In-service Internal Combustion Engines Installed i, 8383 Final , 2016.
He, Chao, Li, Jiaqiang, Wang, Yanyan, Tan, Jianwei, Song, Guofu, Jia, Dewen, Zhao, Longqing. Size-segregated particulate matter emission characteristics of a heavy-duty diesel engine with oxygenated fuels. Applied thermal engineering, vol.125, 1173-1180.

상세보기
Matti Maricq, M.. Chemical characterization of particulate emissions from diesel engines: A review. Journal of aerosol science, vol.38, no.11, 1079-1118.

상세보기
P. y A. G., de El Ministerio de Agricultura, Maquinaria móvil no de carretera, (n.d.). http://www.mapama.gob.es/es/calidad-y-evaluacion-ambiental/temas/atmosfera-y-calidad-del-aire/emisiones/act-emis/transporte_otros_modos.aspx.
Gobierno de España, Ministerio de Agricultura y Pesca. Plan Nacional de Calidad del AIRE 2017-2019 (Plan Aire II), 1125. http://www.mapama.gob.es/es/calidad-y-evaluacion-ambiental/temas/atmosfera-y-calidad-del-aire/planaire2017-2019_tcm30-436347.pdf, 2017.
Hildemann, L. M., Cass, G. R., Markowski, G. R.. A Dilution Stack Sampler for Collection of Organic Aerosol Emissions: Design, Characterization and Field Tests. Aerosol science and technology : the journal of the American Association for Aerosol Reserch, vol.10, no.1, 193-204.

상세보기
England, Glenn C., Watson, John G., Chow, Judith C., Zielinska, Barbara, Chang, M.-C. Oliver, Loos, Karl R., Hidy, George M.. Dilution-Based Emissions Sampling from Stationary Sources: Part 2-Gas-Fired Combustors Compared with Other Fuel-Fired Systems. Journal of the Air & Waste Management Association, vol.57, no.1, 65-78.

상세보기
England, Glenn C., Watson, John G., Chow, Judith C., Zielinska, Barbara, Chang, M.-C. Oliver, Loos, Karl R., Hidy, George M.. Dilution-Based Emissions Sampling from Stationary Sources: Part 2-Gas-Fired Combustors Compared with Other Fuel-Fired Systems. Journal of the Air & Waste Management Association, vol.57, no.1, 79-93.

상세보기
Lipsky, Eric, Robinson, Allen. Design and Evaluation of a Portable Dilution Sampling System for Measuring Fine Particle Emissions from Combustion Systems. Aerosol science and technology : the journal of the American Association for Aerosol Reserch, vol.39, no.6, 542-553.

상세보기
Alberta Oil Sands: Energy, Industry, and the Environment Wang X. L. 71 2012
Wang, Xiaoliang, Watson, John G., Chow, Judith C., Gronstal, Steven, Kohl, Steven D.. An Efficient Multipollutant System for Measuring Real-World Emissions from Stationary and Mobile Sources. Aerosol and air quality research, vol.12, no.2, 145-160.

상세보기
10.1088/1126-6708/2004/04/039 EPA. Conditional Test Method (CTM) 039, Measurement. 039 , 2004.

상세보기
U.S. EPA. Method 5, Determination of Particulate Matter Emissions from Stationary Sources, Title 40, Chapter 1, Subchapter C, Part 60, Append. A-3 to Part 60 - Test Methods 4 through 5I. (n.d.) 1-41. http://www3.epa.gov/ttnemc01/promgate/m-05.pdf.
EPA. Method 1 - Sample and Velocity Traverses for Stationary Sources, (n.d.) , 1-12, 2017.
EPA. Method 2 - Determination of Stack Gas Velocity and Volumetric Flow Rate (Type S Pitot Tube) , 1-22, 2017.
EPA. METHOD 3- Gas Analysis for Carbon Dioxide, Oxygen, Excess Air, and Dry Molecular Weight ; 1998, 1-16.
EPA. Method 4- Determination of Moisture Content in Stack Gases, (n.d.) , 347-369, 2017.
Mancha, D. C. Análisis Experimental Emisiones De Partículas De Un , 2002.
Reşitoğlu, İbrahim Aslan, Altinişik, Kemal, Keskin, Ali. The pollutant emissions from diesel-engine vehicles and exhaust aftertreatment systems. Clean technologies and environmental policy, vol.17, no.1, 15-27.

상세보기
Grenier, M. Measurement of Carbon Monoxide in Diesel Engine Exhaust , 2005.
Yang, Hsi-Hsien, Arafath, S. Md., Lee, Kuei-Ting, Hsieh, Yueh-Shu, Han, Yi-Te. Chemical characteristics of filterable and condensable PM_2.5 emissions from industrial boilers with five different fuels. Fuel, vol.232, 415-422.

상세보기
Yang, Hsi-Hsien, Arafath, S. Md., Wang, Ya-Fen, Wu, Jhin-Yan, Lee, Kuei-Ting, Hsieh, Yueh-Shu. Comparison of Coal- and Oil-Fired Boilers through the Investigation of Filterable and Condensable PM_2.5 Sample Analysis. Energy & fuels : an American Chemical Society journal, vol.32, no.3, 2993-3002.

상세보기
Yang, Hsi-Hsien, Lee, Kuei-Ting, Hsieh, Yueh-Shu, Luo, Shao-Wei, Li, Min-Shan. Filterable and Condensable Fine Particulate Emissions from Stationary Sources. Aerosol and air quality research, vol.14, no.7, 2010-2016.

상세보기
Aobierno de España, Ministerio de Agricultura y Pesca. Proyecciones de emisiones de gases a la atmósfera. Edición 2015-2050. Sumario de resultados , 2017.
NSW EPA. Reducing Emissions from Non-road Diesel Engines , 2014.

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Characterization of Condensable Particulate Matter Emissions in Agricultural Diesel Engines Using a Dilution-Based Sampling Train

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