Combustion Emissions Modeling and Testing of Neat Biodiesel Fuels

Liu, Hsing Pang; Strank, Shannon; Werst, M.D.; Hebner, Robert E.; Osara, Jude A.

doi:10.1115/es2010-90038

Cited by 12 publications

(6 citation statements)

References 19 publications

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“…However N6 had a composition far from that usually found in biodiesels. For PCS and SCHB biodiesels, the density deviations in predictions were low in the recommended (p, T) values for operation of injection systems (T % 344 K, p = 12-22 MPa) [3][4][5]. For PCS biodiesel, the predicted densities at the recommended injection (p, T) conditions were practically the measured ones.…”

Section: Predictive Gmamentioning

confidence: 71%

“…delivered into the engine cylinder and mixed with air to achieve proper combustion mixture. This operation is carried out under pressure, usually at p % (15-50) MPa and moderate temperature T % (300-350) K, and is strongly affected by the fuel density [3][4][5]. With the common rail injection technology the pressure can reach up 100-120 MPa [6,7].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Correlation and prediction of biodiesel density for extended ranges of temperature and pressure

Prieto

Ferreira

Portugal

et al. 2015

Fuel

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Section: Predictive Gmamentioning

confidence: 71%

Section: Introductionmentioning

confidence: 99%

Correlation and prediction of biodiesel density for extended ranges of temperature and pressure

Prieto

Ferreira

Portugal

et al. 2015

Fuel

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“…The knowledge of thermophysical properties of pure components over large ranges of temperature and pressure is important for predicting the behavior of fuel injection and combustion systems in diesel engines where a precise amount of fuel must be delivered into the engine cylinder and mixed with air to achieve proper combustion . This operation is carried out under rapid variation of pressure and temperature and is strongly affected by the fuel density and viscosity. − Therefore, in order to achieve the correct fuel atomization and a complete combustion, proper values of density and viscosity are required, as well as of the speed of sound, which is related to the starting of a diesel engine. A higher speed of sound and isentropic bulk modulus of biodiesel results in a quicker fuel pressure rise from the fuel pump toward the injectors, which leads to earlier injection timing and, consequently, to a higher NO x emission. − …”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Modeling of Thermophysical Properties of Pure Methyl and Ethyl Esters at High Pressures

et al. 2017

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Densities, speeds of sound, and refractive indices of methyl laurate, ethyl laurate, ethyl myristate, and ethyl oleate in the temperature range 288.15−343.15 K and viscosities from 288.15 to 373.15 K were measured at atmospheric pressure. The measured properties were in good agreement with several available literature data, finding an overall absolute average percentage deviation (AAD) of 0.04%, 0.07%, 3%, and 0.1% for density, speed of sound, viscosity, and refractive index, respectively. The densities of mentioned esters were also measured along 15 isotherms from 293.15 to 413.15 K and at pressures up to 60 MPa using an Anton Paar DMA HP densimeter. Based on the literature data selected for comparison, in the studied ranges of temperature and pressure, the AADs of high-pressure densities were 0.08% for methyl laurate, 0.06% for ethyl laurate, and 0.05% for ethyl myristate. The obtained density values were correlated through the modified Tammann−Tait equation with an AAD lower than 0.009% for all the studied esters. The adjusted parameters were used to calculate the isothermal compressibility, isobaric thermal expansivity, internal pressure, and difference in isobaric and isochoric heat capacities. It was found that methyl laurate has higher density, speed of sound, and refractive index than ethyl laurate of the same fatty acid, while viscosities for the ethyl are slightly higher than those of the methyl laurate. The values of the isothermal compressibility and the isobaric thermal expansivity for ethyl laurate are slightly higher than those for methyl.

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“…A reduction in exhaust gas temperature by 0.8%, 1.4%, and 2.1% has been obtained from palm, sunflower, and corn biodiesels, respectively, as compared to pure diesel. This reduction can be attributed to the following reasons: (i) the latent heat of vaporization for all biodiesel blends is more than that of pure diesel [65], which improves the cooling of the engine cylinder walls and, hence, decreases its temperature and, consequently, decreases its exhaust gas temperature; and (ii) the low energy content in terms of calorific heating value for all types of biodiesel compared to pure diesel. Masharuddin et al [66] proposed emulsified biodiesel as an alternative fuel to minimize both peak cylinder pressure and flame temperature.…”

Section: Exhaust Temperaturementioning

confidence: 99%

Environmental Assessment of a Diesel Engine Fueled with Various Biodiesel Blends: Polynomial Regression and Grey Wolf Optimization

Alahmer

Handam

et al. 2022

Sustainability

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A series of tests were carried out to assess the environmental effects of biodiesel blends made of different vegetable oil, such as corn, sunflower, and palm, on exhaust and noise diesel engine emissions. Biodiesel blends with 20% vegetable oil biodiesel and 80% diesel fuel by volume were developed. The tests were conducted in a stationary diesel engine test bed consisting of a single-cylinder, four-stroke, and direct injection engine at variable engine speed. A prediction framework in terms of polynomial regression (PR) was first adopted to determine the correlation between the independent variables (engine speed, fuel type) and the dependent variables (exhaust emissions, noise level, and brake thermal efficiency). After that, a regression model was optimized by the grey wolf optimization (GWO) algorithm to update the current positions of the population in the discrete searching space, resulting in the optimal engine speed and fuel type for lower exhaust and noise emissions and maximizing engine performance. The following conclusions were drawn from the experimental and optimization results: in general, the emissions of unburned hydrocarbon (UHC), carbon dioxide (CO2), and carbon monoxide (CO) from all the different types of biodiesel blends were lower than those of diesel fuel. In contrast, the concentration of nitrogen oxides (NOx) emitted by all the types of biodiesel blends increased. The noise level produced by all the forms of biodiesel, especially palm biodiesel fuel, was lowered when compared to pure diesel. All the tested fuels had a high noise level in the middle frequency band, at 75% engine load, and high engine speeds. On average, the proposed PR-GWO model exhibited remarkable predictive reliability, with a high square of correlation coefficient (R2) of 0.9823 and a low root mean square error (RMSE) of 0.0177. Finally, the proposed model achieved superior outcomes, which may be utilized to predict and maximize engine performance and minimize exhaust and noise emissions.

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Combustion Emissions Modeling and Testing of Neat Biodiesel Fuels

Cited by 12 publications

References 19 publications

Correlation and prediction of biodiesel density for extended ranges of temperature and pressure

Correlation and prediction of biodiesel density for extended ranges of temperature and pressure

Experimental Investigation and Modeling of Thermophysical Properties of Pure Methyl and Ethyl Esters at High Pressures

Environmental Assessment of a Diesel Engine Fueled with Various Biodiesel Blends: Polynomial Regression and Grey Wolf Optimization

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