This study investigates the effect of aluminium oxide nanoparticlesaddition to biodiesel blends made from dairy milk scum on performance and combustion characteristics of the diesel engine.The dispersion of Al_(2)O_(3)nanoparticles in B20 blends at different concentrations was done with the help of ultrasonicator.Good number of blends were prepared for the analysis.Advanced Machine learning algorithms(Random Forest(RF)and CatBoost)was used for the prediction.The results show that in comparison to biodiesel blends without nanoparticles,the kinematic viscosity and density is higher for fuel blends with nanoparticles.But these Fuel blends have higher calorific values.These blends exhibited reduced Brake Specific Fuel Consumption(BSFC)of 2.85% than the blends without nano particles(Dairy Scum Methyl Ester Biodiesel 20%+Neat Diesel 80%(in volume),DSMEB20),57.14%less CO,40.8% less hydrocarbon,and increased NO_(x)emissions compared to conventional diesel,contributing to the development of environmentally friendly and renewable biofuel blends with nanoparticles.DSME B20NP30 is the optimal blend for performance and emission characteristics.The study concludes with findings on enhanced Brake Thermal Efficiency(BTE)of 26.29% in 3×10^(-5)(in volume)Al_(2)O_(3)nanoparticle-blended DSME B20 and other DSME B20 fuel blends,emphasizing the importance of optimal nanoparticle concentration.The correlation matrix shows how engine load,efficiency measures(BTE,BSFC),and emissions(CO,CO_(2),NO_(x),Smoke)are connected in complex ways.The results help us understand the complicated dynamics of engine performance and emission characteristics better.Taylor's diagram for BTE and BSFC shows that CatBoost-based BTE models perform superior to RF-based models during the training as well as testing phase.Similar results were obtained for CO and CO_(2)emission results.
Oxygenated fuels can reduce harmful emissions without affecting engine performance,meeting the big challenge in the transportation industry,which keeps the environment safe and reduces global warming.This study investigates the impact of biodiesel injection strategies and fuel injection pressures(FIP)on diesel engine exhaust emission characteristics.The engine is fuelled with 20%Jatropha biodiesel(JB)and 80%diesel,named JB20D.The ratios of fuel injection pressures started with injecting the fuel(diesel and JB20D)from 200 bar to 500 bar.The experimental outcomes indicate that the engine performance of brake-specific fuel consumption increased by 21.36%from the burning of JB20D compared with diesel,while brake thermal efficiency improved by 6.54%for low and high FIP compared to the diesel.The high fuel injection pressures slightly decrease the nitrogen oxide(NOX)emissions for both diesel and biodiesel.The emissions of NOX decreased from the combustion of JB20D by 18.7%under high fuel injection pressures compared to diesel.The concentration of soot particulate decreased by 20.4%form JB20D combustion than those combusted from diesel fuel.
Mohammed A.FayadAmera A.RadhiMarwa K.AboodHind A.AL SalihiMiqdam T.Chaichan
Energy obtained from a variety of non-renewable sources is considered unsustainable. Various fossil fuels, such as petroleum, coal, and natural gas, are among these sources. The combustion of fossil fuels resulted in the generation of greenhouse gases, which increased the amount of carbon dioxide in the atmosphere. Global warming and ozone layer degradation are the negative consequences. In a country like India, where consumable oils are still imported, it is sense to look at the possibility of using such unpalatable oils in CI engines that aren’t often utilized as cooking oil. Palm oil is a vegetable oil obtained from the monocarp of the oil palm’s crop. The main goal is to provide a low-cost, high-performance alternative to diesel. The possibility of palm oil as a realistic, modest, and effective hotspot for the generation of biodiesel is investigated in this research. The article is focused on the comparison of palm oil and diesel in terms of characteristics.
This study presents a comparative analysis of electricity, hydrogen, and biodiesel as energy vectors, with a focus on powering an aluminum smelter in southern Italy. It evaluates these vectors in terms of efficiency, land requirements for carbon-neutral energy production, and capital expenditure, providing insights throughout the entire supply chain (upstream, midstream, and downstream) into their feasibility for industrial applications. The research reveals that biodiesel, despite being carbon neutral, is impractical due to extensive land requirements and lower efficiency if compared to other vectors. Hydrogen, downstream explored in two forms as thermal power generation and fuel cell technology, shows lower efficiency and higher capital expenditure compared to electricity. Additionally, green hydrogen production’s land requirements significantly exceed those of electricity-based systems. Electricity emerges as the most viable option, offering an overall higher efficiency, lower land requirements for its green production, and comparatively lower capital expenditure. The study’s findings highlight the importance of a holistic assessment of energy vectors, considering economic, environmental, and practical aspects along the entire energy supply chain, especially in industrial applications where the balance of these factors is crucial for long-term sustainability and feasibility. This comprehensive analysis provides valuable guidance for similar industrial applications, emphasizing the need for a balanced approach in the selection of energy vectors.
