Effect of soybean oil/PODE/ethanol blends on combustion and emissions on a heavy-duty diesel engine

Zhang, Zhao; Liu, Xin; Liu, Haifeng; Wu, Yangyi; Zaman, Muhammad Badrus; Geng, Zhenlong; Jin, Chi; Zheng, Zunqing; Yue, Zongyu; Yao, Mingfa

doi:10.1016/j.fuel.2020.119625

Cited by 21 publications

(5 citation statements)

References 52 publications

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“…In addition, the production costs of PODE n are close to those of diesel, and with the advancement of production technology and the expanded production scale of PODE n , the production costs of PODE n are expected to be further reduced, which makes it possible for PODE n to be applied to diesel engines on a large scale. Hence, PODE n are a type of clean alternative fuel that exhibit excellent performances and great potential 23 – 30 .…”

Section: Introductionmentioning

confidence: 99%

Experimental study on the effects of blending PODEn on performance, combustion and emission characteristics of heavy-duty diesel engines meeting China VI emission standard

Zhao

Geng

Weibo

et al. 2021

Sci Rep

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To study the influence of diesel fuel blended with polyoxymethylene dimethyl ethers (PODEn), a new alternative fuel with a high oxygen content and large cetane number, on the combustion characteristics, fuel economies, and emission characteristics of heavy-duty diesel engines that meet China VI emission standards, relevant tests were conducted on a supercharged intercooled high-pressure common-rail diesel engine. The PODEn were blended with diesel fuel at three different ratios (volume fractions of 10%, 20%, and 30%). The test results showed that the PODEn could optimize the combustion process of diesel engines that met the China VI emission standards, effectively improve the thermal efficiencies of diesel engines, and reduce the emissions of hydrocarbon (HC), carbon monoxide (CO), and soot. With an increase in the PODEn blending ratio, the peak values of the in-cylinder pressure, average in-cylinder temperature, and instantaneous heat release rate gradually decreased, and each peak progressively moved forward. As the start of combustion gradually moved forward, the combustion duration was shortened by 0.7–2.8°CA, the heat release process became more concentrated, and the effective thermal efficiency was increased by up to 2.57%. The effective fuel consumption gradually increased, yet the equivalent effective fuel consumption gradually decreased, with the largest drop being as high as 4.55%. The nitrogen oxides (NOx) emission increased slightly, and the emissions of HC, CO, and soot gradually decreased. The emissions of CO and soot declined significantly under high-speed and high-load conditions, with the highest reductions reaching 66.2% and 76.3%, respectively.

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Section: Introductionmentioning

confidence: 99%

Experimental study on the effects of blending PODEn on performance, combustion and emission characteristics of heavy-duty diesel engines meeting China VI emission standard

Zhao

Geng

Weibo

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Meanwhile, P100 always had the lowest PCP, PHRR and PCT. The higher oxygen content of PODE can release a large number of active free radicals during the combustion stage thereby promotes complete combustion and heat release [30,39,40]. The fuel injection quantity was fixed at 20 mg/cycle.…”

Section: Discussion For Thermodynamic Combustion Characteristicsmentioning

confidence: 99%

“…The BTE of diesel, P10, P20 and P30, are 40.3%, 42.5%, 43.7% and 42.8%, respectively, at 100% engine load. In addition, many researchers showed that NO X emissions of diesel engines increased significantly with a PODE addition [29][30][31]. Thus, the blending ratio of PODE in diesel is not as high as possible.…”

Section: Introductionmentioning

confidence: 99%

Combustion Study of Polyoxymethylene Dimethyl Ethers and Diesel Blend Fuels on an Optical Engine

Chen

et al. 2021

Energies

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Polyoxymethylene dimethyl ethers (PODE) are a newly appeared promising oxygenated alternative that can greatly reduce soot emissions of diesel engines. The combustion characteristics of the PODE and diesel blends (the blending ratios of PODE are 0%, 20%, 50% and 100% by volume, respectively) are investigated based on an optical engine under the injection timings of 6, 9, 12 and 15-degree crank angles before top dead center and injection pressures of 100 MPa, 120 MPa and 140 MPa in this study. The results show that both the ignition delay and combustion duration of the fuels decrease with the increasing of PODE ratio in the blends. However, in the case of the fuel supply of the optical engine being fixed, the heat release rate, cylinder pressure and temperature of the blend fuels decrease with the PODE addition due to the low lower heating value of PODE. The addition of PODE in diesel can significantly reduce the integrated natural flame luminosity and the soot formation under all injection conditions. When the proportion of the PODE addition is 50% and 100%, the chemical properties of the blends play a leading role in soot formation, while the change of the injection conditions have an inconspicuous effect on it. When the proportion of the PODE addition is 20%, the blend shows excellent characteristics in a comprehensive evaluation of combustion and soot reduction.

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“…A significantly higher SME fuel kinematic and dynamic viscosity are likely to degrade injection quality of these fuel blends, prolong the time of evaporation and mixing with air, as well as the combustion time. These changes in SME fuel injection and combustion may lead to a longer rate of heat release as well as a pressure rise during the kinetic (premixed) combustion phase [32,33]. This increases the impact induced by rapidly increasing pressure on the piston and other surfaces of the combustion chamber.…”

Section: Fuel Propertiesmentioning

confidence: 99%

Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain

et al. 2021

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Statistical regression models have rarely been used for engine exhaust emission parameters. This paper presents a three-step statistical analysis algorithm, which shows increased prediction accuracy when using vibration and sound pressure data as a covariate variable in the exhaust emission prediction model. The first step evaluates the best time domain statistic and the point of collection of engine data. The univariate linear regression model revealed that non-negative time domain statistics are the best predictors. Also, only one statistic evaluated in this study was a statistically significant predictor for all 11 exhaust parameters. The ecological and energy parameters of the engine were analyzed by statistical analysis. The symmetry of the methods was applied in the analysis both in terms of fuel type and in terms of adjustable engine parameters. A three-step statistical analysis algorithm with symmetric statistical regression analysis was used. Fixed engine parameters were evaluated in the second algorithm step. ANOVA revealed that engine power was a strong predictor for fuel mass flow, CO, CO2, NOx, THC, COSick, O2, air mass flow, texhaust, whereas type of fuel was only a predictor of tair and tfuel. Injection timing did not allow predicting any exhaust parameters. In the third step, the best fixed engine parameter and the best time domain statistic was used as a model covariate in ANCOVA model. ANCOVA model showed increased prediction accuracy in all 11 exhausted emission parameters. Moreover, vibration covariate was found to increase model accuracy under higher engine power (12 kW and 20 kW) and using several types of fuels (HVO30, HVO50, SME30, and SME50). Vibration characteristics of diesel engines running on alternative fuels show reliable relationships with engine performance characteristics, including amounts and characteristics of exhaust emissions. Thus, the results received can be used to develop a reliable and inexpensive method to evaluate the impact of various alternative fuel blends on important parameters of diesel engines.

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Effect of soybean oil/PODE/ethanol blends on combustion and emissions on a heavy-duty diesel engine

Cited by 21 publications

References 52 publications

Experimental study on the effects of blending PODEn on performance, combustion and emission characteristics of heavy-duty diesel engines meeting China VI emission standard

Experimental study on the effects of blending PODEn on performance, combustion and emission characteristics of heavy-duty diesel engines meeting China VI emission standard

Combustion Study of Polyoxymethylene Dimethyl Ethers and Diesel Blend Fuels on an Optical Engine

Engine Vibration Data Increases Prognosis Accuracy on Emission Loads: A Novel Statistical Regressions Algorithm Approach for Vibration Analysis in Time Domain

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