2017
DOI: 10.1016/j.energy.2017.05.103
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Effect of biodiesel-diesel-n-pentanol and biodiesel-diesel-n-hexanol blends on diesel engine emission and combustion characteristics

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Cited by 169 publications
(45 citation statements)
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“…The addition of n-pentanol to high concentrations of WCO biodiesel (85 and 90%)/diesel (5%) blends leads to an increase of cylinder gas pressure and ignition delay and a decrease of combustion duration (Babu and Anand, 2017). The lower CN of n-pentanol prolonged the ignition delay time, and the higher ignition delay allows more combustible mixture being prepared with the delay period, which results in a higher cylinder gas pressure.…”
Section: Ternary Blendsmentioning
confidence: 99%
“…The addition of n-pentanol to high concentrations of WCO biodiesel (85 and 90%)/diesel (5%) blends leads to an increase of cylinder gas pressure and ignition delay and a decrease of combustion duration (Babu and Anand, 2017). The lower CN of n-pentanol prolonged the ignition delay time, and the higher ignition delay allows more combustible mixture being prepared with the delay period, which results in a higher cylinder gas pressure.…”
Section: Ternary Blendsmentioning
confidence: 99%
“…The percentage of variations in carbon monoxide emissions with engine loads when testing the use of diesel-fuel biodiesel is as shown in Figure 4. The mixture of air-rich biodieseldiesel fuel can produce CO because of the unavailable oxygen that can promote CO concentration for fuel [29], [30]. The lower emissions from the use of biodiesel-diesel fuel rather than pure diesel for the entire load spectrum of the engine due to the oxygen present in biodiesel, so that fuel use can support full combustion in the cylinder chamber.…”
Section: Thermal Efficiencymentioning
confidence: 99%
“…Therefore, mathematical correlations (regression models) would be useful to obtain them at several temperatures without need to measurements all the time. However (a) even though there are numerous studies on presenting density data and regression models (linear, quadratic, and so on) or prediction methods (Rackett‐Yamada, Rackett‐Soave, Rackett‐Yuan, group contribution, and so on) for pure biodiesels or biodiesel–diesel binary blends in wide ranges of temperatures, the detailed studies addressing experimental density data and new regression models for biodiesel–diesel–alcohol ternary blends which have been recently used in diesel engines to improve engine performance and exhaust emissions (NO x ‐smoke trade off), are still scarce. (b) The prediction methods (Rackett‐Yamada, and so on), generally depending on the chemical properties of pure methyl or ethyl esters (fatty acid composition, molecular weight, group parameters, compressibility factor, critical temperature, pseudo critical temperature, acentric factor, saturation vapor pressure, and so on) to estimate densities of pure biodiesels or biodiesel–diesel binary blends, cannot be practical as regression models since it may difficult to experimentally determine the chemical properties of each biodiesel.…”
Section: Introductionmentioning
confidence: 99%