Biofuel Engine Research Facility (BERF) biodiesel campaign

Name: Biofuel Engine Research Facility (BERF) biodiesel campaign
Creator: Ali Mohammad Pourkhesalian
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
Keywords: Reactive Oxygenated Species,Atmospheric Aerosols,Diesel Particulate Matter,Black Carbon Emission Factor,Overall Volatility,Secondary Organic Aerosols,Volatility,research data,data collections,research project

Pourkhesalian,Ali M..

doi:10.4225/09/5853711020dbb

Biofuel Engine Research Facility (BERF) biodiesel campaign

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A Volatility Tandem Differential Mobility Analyzer (V-TDMA) consisting of an electrostatic classifier, a thermo-denuder and an SMPS (Scanning Mobility Particle Sizer, in-house designed column with a 3010 CPC) measured the volatile content of particles. The V-TDMA gave the change in particulate diameter for six pre-selected sizes. The volumetric volatile fraction (VVF) for each size was calculated from the difference in diameter of particles before and after the thermo-denuder. The total amount of volatile matter is calculated for every sampling point and the parameter used for its quantification is the Overall Volatility (OV). OV is the fraction of total organics measured in the particulate phase to the total measured volume of particulate matter. An in-house developed profluorescent molecular probe BPEAnit was applied to assess particulate oxidative potential. The relationships between the variables were analysed using the linear regression or generalised linear model with a log link function. The model assumptions were validated using the residuals versus fit values and QQ plots. The resulting ﬁt functions, and their 95% condense intervals, indicate the relationship between the variables.

Modelling and visualisations were performed using the ggplot2 package in R. The data consists of: 121 raw files from two instruments: Scanning Mobility Particle Sizer (SMPS) and Volatility Tandem Mobility Analyser (VTDMA); 12 Excel files containing some roughly processed data from the raw data; 12 .CSV files containing sorted and prepared data for using in R; 19 figures generated by R. File formats: Raw files are in .P80 and .S80 formats; Excel files are in .xls format; R data is in .CSV format; 11 figures are in .PDF format; 8 figures are in .TIFF format; Technical attributes of data collection: P80 and S80 files can be read by TIS Aerosol Instrument Manager; .XLS files are accessible using MS Excel; .CVS files are usable by any data processing software; .PDF file can be seen by Adobe Reader; .TIFF file can be viewed using any image viewer software.

This research forms part of the project "Effect of atmospheric ageing on volatility and ROS of biodiesel exhaust nano-particles."

Access rights

Access is mediated through the lead and corresponding authors.

Geographical area of data collection

kmlPolyCoords

153.028436,-27.477138

Publications

Stevanovic, S., Rahman, M., Pourkhesalian, A., Pham, P., Wang, H., Brown, R., Masri, A., Miljevic, B., and Ristovski, Z. The Influence of Different Biodiesel Feedstocks on the Oxidative Potential of Diesel Particulate Matter. in Proceedings 4th WeBIOPATR conference, Belgrade. 2013. http://www.vin.bg.ac.rs/webiopatr/#Workshop/Abstracts-and-papers

Rahman, M. Mustafiz, Pourkhesalian, Ali M., Stevanovic, Svetlana, Islam, M.J., Wang, Hao, Miljevic, Branka, Phamxuan, P., Brown, Richard J., Masri, A., & Ristovski, Zoran D. (2013) Biodiesel with controlled physicochemical properties, a means to further reduce diesel engine particle emissions. In The 2013 European Aerosol Conference (EAC 2013), 1-6 September 2013, Prague, Czech Republic. http://eprints.qut.edu.au/62913/

Pourkhesalian, A.M., Stevanovic, S., Salimi, F., Rahman, M., Wang, H., Pham, P.X., Bottle, S.E., Masri, A., Brown, R.J., and Ristovski, Z.D., Influence of Fuel Molecular Structure on the Volatility and Oxidative Potential of Biodiesel Particulate Matter. Environmental Science & Technology, 2014. 48(21): p. 12577-12585. http://dx.doi.org/10.1021/es503160m

Pourkhesalian, Ali, Stevanovic, Svetlana, Rahman, M. Mustafiz, Wang, Hao, Mallet, Marc, Pham, X., Masri, Assaad R., Brown, Richard J., & Ristovski, Zoran (2013) Effect of atmospheric ageing on volatility and ROS of biodiesel exhaust nano-particles. In European Aerosol Conference (EAC 2013), 1-6 September 2013, Clarion Congress Hotel , Prague. http://eprints.qut.edu.au/62904/

Rahman, M.M., Pourkhesalian, A.M., Jahirul, M.I., Stevanovic, S., Pham, P.X., Wang, H., Masri, A.R., Brown, R.J., and Ristovski, Z.D., Particle Emissions from Biodiesels with Different Physical Properties and Chemical Composition. Fuel, 2014. 134(0): p. 201-208. http://dx.doi.org/doi:10.1016/j.fuel.2014.05.053

Research areas

Reactive Oxygenated Species

Atmospheric Aerosols

Diesel Particulate Matter

Black Carbon Emission Factor

Overall Volatility

Secondary Organic Aerosols

Volatility

Cite this collection

Pourkhesalian,Ali M.. (2015): Biofuel Engine Research Facility (BERF) biodiesel campaign, April-June 2012. [Queensland University of Technology]. https://doi.org/10.4225/09/5853711020dbb

Partner institution

University of Sydney http://sydney.edu.au/

Data file types

The data consists of: 121 raw files from two instruments: Scanning Mobility Particle Sizer (SMPS) and Volatility Tandem Mobility Analyser (VTDMA); 12 Excel files containing some roughly processed data from the raw data; 12 .CSV files containing sorted and prepared data for using in R; 19 figures generated by R. File formats: Raw files are in .P80 and .S80 formats; Excel files are in .xls format; R data is in .CSV format; 11 figures are in .PDF format; 8 figures are in .TIFF format.