1. Influence of diglyme addition to diesel-biodiesel blends on notable reductions of particulate matter and number emissions
- Author
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Richard J. C. Brown, Md. Nurun Nabi, and Mohammad. Rasul
- Subjects
Biodiesel ,Diesel exhaust ,Common rail ,Materials science ,020209 energy ,General Chemical Engineering ,Organic Chemistry ,Energy Engineering and Power Technology ,Diglyme ,02 engineering and technology ,Pulp and paper industry ,Diesel engine ,Diesel fuel ,chemistry.chemical_compound ,Fuel Technology ,020401 chemical engineering ,chemistry ,0202 electrical engineering, electronic engineering, information engineering ,0204 chemical engineering ,Cetane number ,Oxygenate - Abstract
Diethylene glycol dimethyl ether (DGM), also known as diglyme, has a very high cetane number with fuel-bound oxygen of up to 36%, it has strong potential to reduce diesel emissions. This work is an investigation of the turbocharged diesel engine’s emissions and performance parameters using coconut biodiesel-diglyme-diesel blends. Coconut biodiesel was used as an oxygenated fuel, while DGM was utilised as an oxygenated additive for its excellent cetane number and higher fuel-bound oxygen. The reason for adding diglyme to coconut biodiesel blends is to study the influence of cetane number and fuel-bound oxygen on performance, combustion and emission characteristics. There were five fuels tested in this study. To compare the performance, combustion and emissions data, a regular diesel was used as a base fuel. The neat diesel (100% diesel) and the neat coconut biodiesel (100% coconut biodiesel) were designated as diesel and Ox4 respectively. Blend of 70% diesel + 30% coconut biodiesel is abbreviated as Ox1, 70% diesel + 20% coconut biodiesel + 10% diglyme blend is abbreviated as Ox2, and 70% diesel + 10% coconut biodiesel + 20% diglyme blend is labelled as Ox3. All blending percentages were based on a volume basis. Engine experiments were performed with an unmodified Cummins 6-cylinder common rail diesel engine. The engine was fitted with precision measuring instruments. Using GT-Power, a one-dimensional (1-D) model was developed to examine some key performance parameters with those of experimental data. Most of the performance results show the variations between experimental and simulation data were within 10%.
- Published
- 2019
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