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Assessment of performance,combustion and emissions characteristics of methanol-diesel dual-fuel compression ignition engine:A review

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Journal of Traffic and Transportation Engineering(English Edition) 2021年第5期8卷 638-680页

作者： mohit Raj saxena Rakesh Kumar Maurya Prashant Mishra Department of Mechanical Engineering Indian Institute of Technology RoparRupnagar 140001India

The energy security concern and rapidly diminishing fossil fuel resources demand the development of renewable and economically attractive fuel for reciprocating *** is a promising renewable alternative *** studies have been carried out to explore the various aspects of the utilization of methanol in compression ignition(CI)*** review paper presents a detailed analysis of the effect of methanol on performance,combustion,and emission(NOx,CO,HC,and soot)characteristics of conventional CI-engine along with dual-fuel combustion *** study focuses on methanol utilization in dual-fuel mode,which is an advanced engine combustion ***,methanol production and solubility issues of methanol in diesel are briefly *** study discusses the soot and nano-particle emission from the methanol fueled CI-engine,which is one of the main concerns in the current emission *** was found that the utilization of methanol in CI-engine has the potential to improve the performance and simultaneously with a significant reduction in NOx,CO,soot,and nano-particle emissions in comparison to neat diesel ***,unburnt HC emission reduces for methanol-diesel blended fuel operation whereas HC emissions are higher for methanoldiesel dual-fuel operation.

关键词： Methanol Dual-fuel Combustion Diesel engine Particle emissions Thermal efficiency

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Source apportionment of PM10 in Delhi, India using PCA/APCS, UNMIX and PMF

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Particuology 2018年第2期16卷 107-118页

作者： Srishti Jain S.K. Sharma T.K. Mandal mohit saxena Environmental Sciences and Biomedical Metrology Division CSIR-National Physical Laboratory Dr. K. S. Krishnan Road New Delhi 110 012 India Academy of Scientific and Innovative Research (AcSIR) CSIR-National Physical Laboratory campus New Delhi 110 012 India

Source apportionment of particulate matter （PM10） measurements taken in Delhi, India between January 2013 and June 2014 was carried out using two receptor models, principal component analysis with absolute principal component scores （PCA/APCS） and UNMIX. The results were compared with previous estimates generated using the positive matrix factorization （PMF） receptor model to investigate each model＇s source-apportioning capability. All models used the PM10 chemical composition （organic carbon （OC）, elemental carbon （EC）, water soluble inorganic ions （WSIC）, and trace elements） for source apportionment. The average PM10 concentration during the study period was 249.7±103.9 μg/m3 （range： 61.4-584.8 μg/m3）. The UNMIX model resolved five sources （soil dust （SD）, vehicular emissions （VE）, secondary aerosols （SA）, a mixed source of biomass burning （BB） and sea salt （SS）, and industrial emissions （IE））. The PCA/APCS model also resolved five sources, two of which also included mixed sources （SD, VE, SD＋SS, （SA＋BB＋SS） and 1E）. The PMF analysis differentiated seven individual sources （SD, VE, SA, BB, SS, IE, and fossil fuel combustion （FFC））. All models identified the main sources contributing to PM10 emissions and reconfirmed that VE, SA, BB, and SD were the dominant contributors in Delhi.

关键词： Receptor model PCA/APCS UNMIX PMF Source apportionment

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