Particulate Matter (PM) characteristics from compression ignition diesel engines operated by renewable fuels

Fayad, Mohammed Ali (2017). Particulate Matter (PM) characteristics from compression ignition diesel engines operated by renewable fuels. University of Birmingham. Ph.D.

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Diesel engine emission of particulate matter (PM) is one of the most critical issues which have a large impact on the environmental and human health. The use of renewable fuels (biodiesel and butanol blend) and aftertreatment systems in diesel engines are the main requirements for reducing and controlling the pollutant emissions. To understand the effect of alternative fuels on PM characteristics and a diesel oxidation catalyst (DOC), rapeseed oil methyl ester (RME) biodiesel and an alcohol blend (butanol-diesel blend) were used for various engine operating conditions. The results revealed that the combustion of alternative fuels produces lower emissions of unburnt hydrocarbons (UHC), carbon monoxide (CO), and PM number concentration, which enhanced the catalyst activity at lower temperatures.
Studying the effect of oxygenated fuel and fuel injection strategies on the combustion characteristics and PM characteristics, and hence the catalyst’s performance, can unveil synergies that can benefit vehicle emissions and fuel economy, as well as guide the design of the next generation of sustainable fuels. It was found that post-injection incorporation with a butanol blend produced lower PM concentration and modified the soot’s morphological parameters by reducing number of primary particles (npo), the radius of gyration (Rg), and the fractal dimension (Df).

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
College/Faculty: Colleges (2008 onwards) > College of Engineering & Physical Sciences
School or Department: School of Engineering
Funders: Other
Other Funders: Government of Iraq, Ministry of Higher Education and Scientific Research, Iraq
Subjects: T Technology > TA Engineering (General). Civil engineering (General)


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