Evaluating the characteristics of a diesel engine fuelled with water in diesel emulsion and hythane gas in a dual-fuel mode

Gopidesi, Radha Krishna; Premkartikkumar, S. R.

doi:10.1080/01430750.2019.1670258

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…This allowed to conclude that the use of the emulsion leads to a reduction in the emission of NO x and CO and a reduction in the consumption of the primary fuel. The maximum reduction of emissions by 12.32 and 35.16% for CO and NO x , respectively, and the reduction of fuel consumption by 5.46% were recorded [7,13,15].…”

Section: Introductionmentioning

confidence: 92%

Impact of water content in fuel for smoke opacity

Haller,

Kaźmierczak

et al. 2023

Combustion Engines

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The development of internal combustion engines is focused at solving problems like: fulfillment with increasingly stringent requirements regarding exhaust emissions and elimination of threats to the natural environment. The subject of this thesis is to assessment the impact of supplying a compression-ignition engine with hydrocarbon mixtures and to examine the impact of water on external parameters of the engine, such as smoke opacity. The tests were carried out using a innovative mixture of hydrated fusel oils, ethyl alcohol and ionic and/or non-ionic emulsifiers, from which was made of microemulsions with a water content in diesel oil of 5, 10, 15, 20 and 25%. The main tests were carried out on a 4-cylinder VW 1.9 TDI internal combustion engine at a constant engine crankshaft speed of 3000 rpm and variable load of 0, 30, 60, 90, 120, 150 and 180 Nm. The tests carried out showed a beneficial effect of the water content in the diesel oil on the reduction of the average value of smoke opacity, which systematically decreases with the increase in the percentage of water in the diesel oil.

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Section: Introductionmentioning

confidence: 92%

Impact of water content in fuel for smoke opacity

Haller,

Kaźmierczak

et al. 2023

Combustion Engines

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“…Gopidesi and Premkartikkumar 9 described the use of water‐in‐diesel emulsion (DiME) as the best technique to reduce NO x emissions and found a drastic reduction of NO x emissions up to 30.5% than the diesel.…”

Section: Introductionmentioning

confidence: 99%

Effect of hybrid nanoparticles MgO and Al₂O₃ added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization

Patel¹,

Dhiman

2022

Heat Trans

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The automotive sector is one of the top energy consumers globally compared with any other sector where oil plays the main role. According to http://statista.com (an online platform that displays the stats on oil consumption and reserves), in 2016, the demand for crude oil was about 85.3 million barrels per day worldwide. In 2019, the demand almost reached 100 barrels per day, and then it was reduced to 91 million per day during the 2020 global COVID‐19 crisis. However, it was predicted that the global crude oil requirements will exceed 100 million barrels per day by 2023 and will continue to raise. Also, geographically, not all countries worldwide have the oil reservoirs or the technology to extract oil from the reservoirs. Although the oil demand worldwide is increasing every year, researchers have estimated that there are only 47 years of oil left on the planet earth if the current oil consumption will raise this way. Researchers are looking for finding alternative fuels, such as electrochemical energy (electric vehicles), biodiesel, electricity, ethanol, hydrogen, natural gas, propane, emerging fuels, or the use of such fuels in the existing engines to minimize the use of nonrenewable energy resources. However, researchers are also looking more at fuels based on hybrid nanoparticles added to emulsified fuels. Due to the limitations of utilizing electrochemical energy or biofuels include high charging time, limited millage, harmful exhaust emissions, complicated production process, engine efficiency, the cost of fuel, and the advantages over hybrid nanoparticles added emulsified fuels than biofuels. Hence, after going through numerous researches, in this present experimentation, “hybrid nanoparticles (MgO and Al2O3) added water‐in‐diesel emulsion” are formulated to enhance the quality of emission and improve the performance of the compression ignition engine. The best combination of diesel, MgO, and Al2O3, a water‐in‐diesel (W/D) emulsion blend, is proposed. The results were further validated using deep neural network‐based spotted hyena optimization (DNN‐SHO) prediction and compared with traditional machine learning approaches artificial neural network (ANN), convolution neural network (CNN), regression‐based network (RBN), recurrent neural network (RNN), and DNN. As a result, the best proportions of the proposed nanoparticles added into the W/D bend are identified to be 10% W/D, 50 ppm of MgO, and 50 ppm of Al2O in terms of engine performance and emission characteristics brake thermal efficiency 30.7%, brake‐specific fuel consumption 0.29 kg/kW‐h, CO 0.027 vol%, NOx 855 ppm vol, and HC 12 ppm vol. Besides this, the DNN‐SHO‐based validated outcomes are in good agreement with the experimental values and outperformed other traditional approaches ANN, CNN, RBN, RNN, and DNN used in this study.

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Impact of water‐in‐diesel emulsion on compression ignition engine's emissions and its challenges—A detailed review

Onuoha,

Etim,

Oguzie

2024

Vietnam Journal of Chemistry

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Compression ignition engines/diesel engines release greenhouse gases like particulate matter (PM), carbon monoxide (CO), nitrogen oxides (NOx), and, unburnt hydrocarbons which pose environmental and human health risks. Water‐in‐diesel emulsion (WiDE) has emerged as a cost‐effective alternative fuel for reducing the emission of these gases in diesel engines. This paper reviews the effectiveness of using emulsion fuel in engines to reduce harmful emissions as well as the challenges associated with WiDE, which include emulsion stability and corrosion. The review is based on available experimental results from various studies in the literature. While there are a few conflicting outcomes among researchers, the majority of results support the benefits of using WiDE in a compression engine as the PM and NOx emissions, significantly decreased. The decrease in NOx is a result of the flame reaching a lower peak temperature during combustion. The reduction in PM occurs as a result of the micro‐explosion process, which enhances combustion efficiency. Even though WiDE significantly reduces the environmental impact of diesel engines, this study also shows that WiDE faces stability problems and enhances the corrosion of materials. The development of a systematic methodology that can accurately measure emulsion stability, the in‐depth study of the impacts of surfactant dosage, water content and temperature on the corrosion behavior of metals in WiDE and also the development of anti‐corrosion intervention suggestions have been suggested based on the analysis of earlier research.

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Evaluating the characteristics of a diesel engine fuelled with water in diesel emulsion and hythane gas in a dual-fuel mode

Cited by 11 publications

References 18 publications

Impact of water content in fuel for smoke opacity

Impact of water content in fuel for smoke opacity

Effect of hybrid nanoparticles MgO and Al₂O₃ added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization

Impact of water‐in‐diesel emulsion on compression ignition engine's emissions and its challenges—A detailed review

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Evaluating the characteristics of a diesel engine fuelled with water in diesel emulsion and hythane gas in a dual-fuel mode

Cited by 11 publications

References 18 publications

Impact of water content in fuel for smoke opacity

Impact of water content in fuel for smoke opacity

Effect of hybrid nanoparticles MgO and Al2O3 added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization

Impact of water‐in‐diesel emulsion on compression ignition engine's emissions and its challenges—A detailed review

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Effect of hybrid nanoparticles MgO and Al₂O₃ added water‐in‐diesel emulsion fueled diesel engine using hybrid deep neural network‐based spotted hyena optimization