Effects of Di-(2-ethoxyethyl) Carbonate as an Oxygenated Fuel on Diesel Fuel Properties and Engine Performances

2014 ◽  
Author(s):  
Hejun Guo ◽  
Shenghua Liu
Keyword(s):  
Diesel Fuel ◽  
Fuel Properties ◽  
Oxygenated Fuel

Novel approaches for the production of bio-diesel using waste vegetable oil

2014 ◽  
Vol 3 (10) ◽  
pp. 3419
Author(s):  
Mohan Reddy Nalabolu* ◽  
Varaprasad Bobbarala ◽  
Mahesh Kandula
Keyword(s):  
Diesel Fuel ◽  
Oxidation Stability ◽  
Acid Value ◽  
Waste Cooking Oil ◽  
Flash Point ◽  
Carbon Residue ◽  
Fuel Properties ◽  
Present Moment ◽  
Total Acid ◽  
Cooking Oil

At the present moment worldwide waning fossil fuel resources as well as the tendency for developing new renewable biofuels have shifted the interest of the society towards finding novel alternative fuel sources. Biofuels have been put forward as one of a range of alternatives with lower emissions and a higher degree of fuel security and gives potential opportunities for rural and regional communities. Biodiesel has a great potential as an alternative diesel fuel. In this work, biodiesel was prepared from waste cooking oil it was converted into biodiesel through single step transesterification. Methanol with Potassium hydroxide as a catalyst was used for the transesterification process. The biodiesel was characterized by its fuel properties including acid value, cloud and pour points, water content, sediments, oxidation stability, carbon residue, flash point, kinematic viscosity, density according to IS: 15607-05 standards. The viscosity of the waste cooking oil biodiesel was found to be 4.05 mm2/sec at 400C. Flash point was found to be 1280C, water and sediment was 236mg/kg, 0 % respectively, carbon residue was 0.017%, total acid value was 0.2 mgKOH/g, cloud point was 40C and pour point was 120C. The results showed that one step transesterification was better and resulted in higher yield and better fuel properties. The research demonstrated that biodiesel obtained under optimum conditions from waste cooking oil was of good quality and could be used as a diesel fuel.

scholarly journals Effect of the In-Cylinder Back Pressure on the Injection Process and Fuel Flow Characteristics in a Common-Rail Diesel Injector Using GTL Fuel

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 452
Author(s):  
Luka Lešnik ◽  
Breda Kegl ◽  
Eloísa Torres-Jiménez ◽  
Fernando Cruz-Peragón ◽  
Carmen Mata ◽  
...  
Keyword(s):  
Diesel Fuel ◽  
Back Pressure ◽  
Common Rail ◽  
Fuel Properties ◽  
Injection System ◽  
Nozzle Flow ◽  
Average Mass ◽  
Injection Process ◽  
Fuel Flow ◽  
Computational Program

The presented paper aims to study the influence of mineral diesel fuel and synthetic Gas-To-Liquid fuel (GTL) on the injection process, fuel flow conditions, and cavitation formation in a modern common-rail injector. First, the influence on injection characteristics was studied experimentally using an injection system test bench, and numerically using the one-dimensional computational program. Afterward, the influence of fuel properties on internal fuel flow was studied numerically using a computational program. The flow inside the injector was considered as multiphase flow and was calculated through unsteady Computational Fluid Dynamics simulations using a Eulerian–Eulerian two-fluid approach. Finally, the influence of in-cylinder back pressure on the internal nozzle flow was studied at three distinctive back pressures. The obtained numerical results for injection characteristics show good agreement with the experimental ones. The results of 3D simulations indicate that differences in fuel properties influence internal fuel flow and cavitation inception. The location of cavitation formation is the same for both fuels. The cavitation formation is triggered regardless of fuel properties. The size of the cavitation area is influenced by fuel properties and also from in-cylinder back pressure. Higher values of back pressure induce smaller areas of cavitation and vice versa. Comparing the conditions at injection hole exit, diesel fuel proved slightly higher average mass flow rate and velocities, which can be attributed to differences in fluid densities and viscosities. Overall, the obtained results indicate that when considering the injection process and internal nozzle flow, GTL fuel can be used in common-rail injection systems with solenoid injectors.

Calculation of jet and diesel fuel properties using carbon-13 NMR spectroscopy

1990 ◽  
Vol 4 (2) ◽  
pp. 152-156 ◽  
Author(s):  
David J. Cookson ◽  
Brian E. Smith
Keyword(s):  
Nmr Spectroscopy ◽  
Diesel Fuel ◽  
Fuel Properties

scholarly journals The Effect of Oxygenated Fuel Properties on Mechanism of Inhibition in Particulate Matter

2008 ◽  
Vol 3 (2) ◽  
pp. 436-443
Author(s):  
Hiroshi KITAGAWA ◽  
Shigeru TOSAKA ◽  
Yasuhiro FUJIWARA ◽  
Tadashi MURAYAMA
Keyword(s):  
Particulate Matter ◽  
Fuel Properties ◽  
Mechanism Of Inhibition ◽  
Oxygenated Fuel

scholarly journals Modelling of Diesel fuel properties through its surrogates using Perturbed-Chain, Statistical Associating Fluid Theory

2018 ◽  
Vol 21 (7) ◽  
pp. 1118-1133 ◽  
Author(s):  
Alvaro Vidal ◽  
Carlos Rodriguez ◽  
Phoevos Koukouvinis ◽  
Manolis Gavaises ◽  
Mark A McHugh
Keyword(s):  
Equation Of State ◽  
Diesel Fuel ◽  
Group Contribution ◽  
Operating Conditions ◽  
Fuel Properties ◽  
Liquid Density ◽  
Theory Approach ◽  
Statistical Associating Fluid Theory ◽  
Diesel Fuels ◽  
Fluid Theory

The Perturbed-Chain, Statistical Associating Fluid Theory equation of state is utilised to model the effect of pressure and temperature on the density, volatility and viscosity of four Diesel surrogates; these calculated properties are then compared to the properties of several Diesel fuels. Perturbed-Chain, Statistical Associating Fluid Theory calculations are performed using different sources for the pure component parameters. One source utilises literature values obtained from fitting vapour pressure and saturated liquid density data or from correlations based on these parameters. The second source utilises a group contribution method based on the chemical structure of each compound. Both modelling methods deliver similar estimations for surrogate density and volatility that are in close agreement with experimental results obtained at ambient pressure. Surrogate viscosity is calculated using the entropy scaling model with a new mixing rule for calculating mixture model parameters. The closest match of the surrogates to Diesel fuel properties provides mean deviations of 1.7% in density, 2.9% in volatility and 8.3% in viscosity. The Perturbed-Chain, Statistical Associating Fluid Theory results are compared to calculations using the Peng–Robinson equation of state; the greater performance of the Perturbed-Chain, Statistical Associating Fluid Theory approach for calculating fluid properties is demonstrated. Finally, an eight-component surrogate, with properties at high pressure and temperature predicted with the group contribution Perturbed-Chain, Statistical Associating Fluid Theory method, yields the best match for Diesel properties with a combined mean absolute deviation of 7.1% from experimental data found in the literature for conditions up to 373°K and 500 MPa. These results demonstrate the predictive capability of a state-of-the-art equation of state for Diesel fuels at extreme engine operating conditions.

scholarly journals Diesel and various blending nanoparticles based diesel, fuel properties study

2020 ◽  
Vol 788 ◽  
pp. 012061
Author(s):  
M Norhafana ◽  
M M Noor ◽  
F Y Hagos ◽  
A A Hairuddin
Keyword(s):  
Diesel Fuel ◽  
Fuel Properties
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