Energy-related approach for reduction of CO2 emissions: A strategic review on the port-to-ship pathway

Characteristics of hydrogen production from steam gasification of plant-originated lignocellulosic biomass and its prospects in Vietnam

In automotive applications, artificial neural network (ANN) is now considered as a favorable prediction tool. Since it does not need an understanding of the system or its underlying physics, an ANN model can be beneficial especially when the system is too complicated, and it is too costly to model it using a simulation program. Therefore, using ANN to model an internal combustion engine has been a growing research area in the last decade. Despite its promising capabilities, the use of ANN for engine applications needs deeper examination and further improvement. Research in ANN may reach its maturity and be saturated if the same approach is applied repeatedly with the same network type, training algorithm and input–output parameters. This review article critically discusses recent application of ANN in ICE. The discussion does not only include its use in the conventional engine (gasoline and diesel engine), but it also covers the ANN application in advanced combustion technology i.e., homogeneous charge compression ignition (HCCI) engine. Overall, ANN has been successfully applied and it now becomes an indispensable tool to rapidly predict engine performance, combustion and emission characteristics. Practical implications and recommendations for future studies are presented at the end of this review. 

Review of artificial neural networks for gasoline, diesel and homogeneous charge compression ignition engine

Experimental assessment on performance and combustion behaviors of reactivity-controlled compression ignition engine operated by n-pentanol and cottonseed biodiesel

Role of hydrogen in improving performance and emission characteristics of homogeneous charge compression ignition engine fueled with graphite oxide nanoparticle-added microalgae biodiesel/diesel blends

The frequent rise in the use of diesel engines in all fields emits harmful gases such as NOx and CO, which causes significant environmental emissions, global warming, breathing problems, etc. (Sivalingam et al. 2019). In the investigation of the performance, combustion, and emission characteristics, using diesel water emulsion is mixed with hybrid nanoparticles as additives in Direct Injection (DI) diesel engine. Reducing the emission characteristics and increasing engine performance is to introduce emulsion fuels (Parthasarathy et al. 2021). The water content of 5% is added with the diesel fuel as blends of (D94% + W5%). The surfactant used is Span 80 and Tween 80 and mixed with diesel water emulsion using a mechanical stirring process. This reports on the use of cerium oxide (CeO2), aluminum oxide (Al2O3), titanium dioxide (TiO2) nanoparticles as an additive to diesel fuel. For this study, the fuel tested was prepared by blending three nanoparticles into diesel in a mass fraction of 50 ppm, 100 ppm, 150 ppm with the assistance of an ultrasonic stirrer. The diesel water emulsion is mixed with the nanoparticle and prepared as three different fuel blends such as (D90% + W5% + S5% + HBNP 50 ppm), (D90% + W5% +S5% + HBNP 100 ppm), and (D90% + W5% +S5% + HBNP 150 ppm). Based on experimental results, BTE increased by 8.3% and BSFC is reduced by 14.42% at (D94% + W5% +S1% + HB 150 ppm) blend when compared with the diesel, due to the atomization of the fuel and oxygen content available in the fuel. The emissions of CO is reduced by 10.2%; smoke, oxides of nitrogen emissions, and HC are reduced by 27.5%, 36.58%, and 27.77%, respectively, when compared with clean diesel fuel, because of microexplosion and proper atomization taking place during the combustion process. The cylinder pressure and HRR are increased by 3.2% and 2.8%, respectively, when compared with neat diesel fuel, due to increased combustion temperature and secondary atomization of fuel take places.

Elumalai Perumal Venkatesan

Papers

Role of hydrogen in improving performance and emission characteristics of homogeneous charge compression ignition engine fueled with graphite oxide nanoparticle-added microalgae biodiesel/diesel blends

Effect of Hybrid Nanoparticle on DI Diesel Engine Performance, Combustion, and Emission Studies