A performance‐emission tradeoff study of a <scp>CI</scp> engine fueled by compressed natural gas (<scp>CNG</scp>)/diesel–ethanol‐<scp>PPME</scp> blend combination

Paul, Abhishek; Panua, Rajsekhar; Debroy, Durbadal; Bose, P. K.

doi:10.1002/ep.12223

Cited by 21 publications

(8 citation statements)

References 31 publications

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“…Alcohol to dual fuel diesel engine can be delivered in few ways. The most popular is alcohol injection to the intake port in the vicinity of the inlet valve or direct injection of alcohol into the cylinder as mixture with diesel fuel . The use of biodiesel–alcohol mixture in a diesel engine further improves the combustion process.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigations on combustion, performance, and emission characteristics of stationary CI engine fueled with diesel–methanol and biodiesel–methanol blends

Jamrozik

Tutak

Pyrc

et al. 2017

Env Prog and Sustain Energy

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This article presents the experimental studies of the one‐cylinder, stationary diesel engine powered by blends of diesel and biodiesel with methanol. In the case of diesel–methanol mixture (DM) investigated, there is up to 40% of the alcohol content in the mixture, while in the case of biodiesel–methanol mixture (BM), the share of the alcohol was up to 50%. The normal combustion process achieved up to 30% of alcohol fraction. Further increase in the alcohol content led to a significant drop in cylinder pressure and the abnormal combustion process. The analysis of the test results showed that in both cases the alcohol content in the mixture should not exceed 30%. In case of DM blend, the increase in ITE by 13% and for BM by 11% compared to powering by diesel or biodiesel fuel. IMEP is kept on near the same level equal to 6.6 bar for DM and 5.8 bar for BM. For these mixtures, it was not exceeded the limited value of COVIMEP equal to 10. The increase in the methanol content up to 30% does not significantly affect changes in emissions of hydrocarbons (THC) and carbon dioxide (CO2), and reduces emission of carbon monoxide (CO). The increase in methanol fraction in blend up to 30% causes large decrease in CO emission (of about 60%) and it does not cause significant changes in hydrocarbon emissions THC and CO2. This methanol fraction causes the increase in NOx emission. The emission of NOx was increased by 68% for DM and by 35% for BM. © 2017 American Institute of Chemical Engineers Environ Prog, 36: 1151–1163, 2017

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Section: Introductionmentioning

confidence: 99%

Experimental investigations on combustion, performance, and emission characteristics of stationary CI engine fueled with diesel–methanol and biodiesel–methanol blends

Jamrozik

Tutak

Pyrc

et al. 2017

Env Prog and Sustain Energy

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“…In this method, DU is the total uncertainty of a given quantity Q, which has been enumerated by using equation (1). [30][31][32][33][34] Tables 3 and 4 demonstrate the percentage of uncertainty of the performance parameters and the accuracy of the measurements of AVL DIGAS 444 gas analyser, 30 respectively…”

Section: Measured Data Uncertainty Analysismentioning

confidence: 99%

“…MOS ¼ maximum observed value during sampling for the measured pollutant.MIS ¼ minimum observed value during sampling for the measured pollutant. ASU ¼ uncertainty of measurement of the respective pollutant by the analyser [28][29][30][31][32]. …”

mentioning

confidence: 99%

Prediction of performance and exhaust emissions of diesel engine fuelled with adulterated diesel: An artificial neural network assisted fuzzy-based topology optimization

Bhowmik

Panua

Ghosh

et al. 2018

Energy & Environment

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This study evaluates the effects of diesel fuel adulteration on the performance and exhaust emission characteristics of an existing diesel engine. Kerosene is added to diesel fuel in volumetric proportions of 5, 10, 15, and 20%. Adulterated fuel significantly reduced the oxides of nitrogen emissions of the engine. In view of the engine experimentations, artificial intelligence-based artificial neural network model has been developed to accurately predict the input–output relationships of the diesel engine under adulterated fuel. The investigation also attempts to explore the applicability of fuzzy logic in the selection of the network topology of artificial neural network model under adulterated fuel. A (2–7–5) topology is found to be optimal for predicting input parameters, namely load, diesel–kerosene blend and output parameters, namely brake thermal efficiency, brake-specific energy consumption, oxides of nitrogen, total hydrocarbon, carbon monoxide of the network. The developed artificial neural network model is enabled for predicting engine output responses with high accuracy. The regression coefficient (R) of 0.99887, mean square error of 1.5e-04 and mean absolute percentage error of 2.39% have been obtained from the plausible artificial neural network model.

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“…The lower CO emission with Biodiesel blended fuel has also been stated by Shehata. 13 The majority of the researchers [14][15][16][17][18] have also utilized Biodiesel to reduce the dependency on diesel fuel and sustain the diesel power train.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Taguchi–Fuzzy‐based performance‐exhaust emission trade‐off study of variable compression ratio diesel engine fueled with undi‐diesel blends

Madane

Bhowmik

Panua

2019

Env Prog and Sustain Energy

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The present investigation highlights the effect of variable compression ratio (VCR) on the performance and exhaust emission characteristics of a single cylinder, direct injection diesel engine fueled with undi‐diesel blends. 10%, 20%, 30%, 40%, and 50% undi fuel have been added to diesel in volumetric proportions and tested by varying compression ratio (CR) from 16:1 to 20:1. Undi addition to diesel fuel significantly improves the brake thermal efficiency (BTE) and brake specific energy consumption (BSEC) of the engine. In addition, higher CR facilitates to improve unburned hydrocarbon (UHC), carbon monoxide (CO) and smoke opacity of the diesel engine with the penalties of higher oxides of nitrogen (NOX) emissions. In perspective of the engine experimental outputs, a Taguchi assisted Fuzzy based trade off study has been conducted to screen and locate the optimal diesel engine operating conditions, namely, CR, undi share, and load. The optimum process parameter has been found to be A2B6C2 with a multi performance characteristics index (MPCI) value of 0.683 indicating the optimum operating conditions of 17:1 CR, 50% (by volume) undi share at 50% load.

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A performance‐emission tradeoff study of a CI engine fueled by compressed natural gas (CNG)/diesel–ethanol‐PPME blend combination

Cited by 21 publications

References 31 publications

Experimental investigations on combustion, performance, and emission characteristics of stationary CI engine fueled with diesel–methanol and biodiesel–methanol blends

Experimental investigations on combustion, performance, and emission characteristics of stationary CI engine fueled with diesel–methanol and biodiesel–methanol blends

Prediction of performance and exhaust emissions of diesel engine fuelled with adulterated diesel: An artificial neural network assisted fuzzy-based topology optimization

Hybrid Taguchi–Fuzzy‐based performance‐exhaust emission trade‐off study of variable compression ratio diesel engine fueled with undi‐diesel blends

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