Performance and Emission Characteristics of Diesel Engine Using Ether Additives: A Review

Abstract

Pressure on alternative fuels and strict environmental regulations are driving a strategic shift in the efficient use of renewable biofuels. One of the promising biofuel candidates recently interested by scholars is a biological or organic additive that is added into diesel or biodiesel fuel to improve engine performance and reduce pollutant emissions. With efforts to improve efficiency and combustion quality in cylinders, combustion characteristics, flame structure and emission formation mechanism in compression ignition (CI) engines using blended fuel with organic additives have been studied on the effect of additive properties on the combustion behaviour. In this review, the physicochemical properties of typical organic additives such as ethers compounds and their effects on engine performance and emission characteristics have been discussed and evaluated based on conclusions of recent relevant literature. The results of the analysis revealed the prospect of using ether additives to improve combustion in cylinders and reduce pollutant emissions from CI engines. Obviously, the presence of higher oxygen content, lower viscosity and density, and higher cetane number resulted in a positive change in the combustion dynamics as well as a chain of mechanisms for the formation of pollutant precursors in the cylinder. Therefore, ether additives have a significant contribution to the sustainable energy strategy of the transportation sector in the next period when internal combustion engines still dominate in the competition for energy system choices equipped on vehicles.

Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

“…As the principal source of energy, traditional fossil fuels continue to hold a dominant position [199]. Because of the ever-increasing demand and the ever-increasing population of the world, the dwindling stocks of fossil fuels provide a problem for the future supply of these resources [200], [201]. The ever-increasing need for energy may be satisfied by the effective production of biofuel that could be used for transportation means [202], [203].…”

Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms

“…As reported, biofuels are beneficial in reducing dependence on costly fossil fuel imports and offer a sustainable substitute for fossil fuels (Hoang and Pham, 2021;Wei et al, 2024;Zeńczak and Gromadzińska, 2020). Indeed, ancohol (methanol, ethanol, n-propanol, butanol, pentanol, hexanol), biodiesel, bio-oil, furan-based biofuels, ether, and biogas are typical examples (Bui et al, 2021;Cao and Johnson, 2024;Changxiong et al, 2023a;De Poures et al, 2023;Doan et al, 2022;Fayad et al, 2022;Hoang et al, 2023aHoang et al, , 2021cJia et al, 2024;Yusuf et al, 2023). Biofuels may be used to generate electricity, heat, and transport, therefore ensuring environmental sustainability and energy source diversity (Hoang et al, 2021e;Veza et al, 2022b).…”

Artificial intelligence applications in solar energy

“…The present scenario of escalating fuel prices, greenhouse gas emissions, and changing geo-political conditions are driving the research toward renewable energy sources [1]- [4]. The researchers are investigating energy sources like tidal [5], [6], wave and ocean [7]- [9], biomass [10], [11], biofuels with some typical types, such as biodiesel [12]- [14], alcohol [15]- [19], furan [20]- [22], ether [23]- [25], natural gas [26]- [28]), wind [29]- [31], solar [32]- [34], and several other energy sources.…”