4.7 Article

Synergetic influence of hydrogen peroxide emulsification and MWCNT nanoparticles to reduce engine exhaust emissions using B20 biodiesel blend

Journal

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 47, Issue 51, Pages 21863-21877

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2022.05.016

Keywords

B20; CNT; Emission control; Hydrogen peroxide; Nanoparticle; NOx

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This study investigates the combined synergetic influence of H2O2 emulsification and the addition of multi-walled carbon nanotubes (MWCNT) on the exhaust emissions and performance of a compression ignition engine. The results show that increasing the concentrations of H2O2 and MWCNT has a positive effect on reducing CO, HC, and smoke emissions, as well as improving brake thermal efficiency and reducing brake specific fuel consumption. However, the increase in MWCNT concentration leads to an increase in NOx emissions, while H2O2 emulsification has an inhibitory effect on NOx.
In this study, the combined synergetic influence of H2O2 emulsification with the addition of multi-walled carbon nanotubes (MWCNT) to B20 biodiesel blend is ascertained on the exhaust emissions and performance of a compression ignition engine. Methyl ester obtained from waste cooking oil is used to prepare B20 blend. Variation in the concentrations of H2O2 (0.5%, 1%, 1.5%) and MWCNT (0, 20, 40 ppm) was carried out at 50%-100% of the full load condition. Increasing the concentrations of H2O2 and MWCNT positively affect the emissions of CO, HC, and Smoke, wherein a maximum reduction of 52%, 30.2%, and 16.1%, respectively, was achieved. Similarly, the average increase in brake thermal efficiency and an average reduction in brake specific fuel consumption is seen to be 10.3% and 9.1%, respectively. An increasing trend for NOx was seen with the increase in the MWCNT concentration (average increase by 10.2%). However, H2O2 emulsification resulted in an average decrease of 21.5%, indicating that H2O2 had a more dominating effect due to hydroperoxyl radicals. Fitting models between the controlling factors and the response of emissions and performance parameters were developed using an artificial neural network (ANN) (R-2 > 0.99). From studying the interaction of H2O2 and MWCNT using ANN-derived response surface plots, it is seen that H2O2 emulsification dominated the effect of MWCNT nanoparticles for the responses of CO, HC, Smoke, NOx, and BTE. (C) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

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