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Exergy, Energy, Performance, and Combustion Analysis for Biodiesel NOₓ Reduction Using New Blends With Alcohol, Nanoparticle, and Essential Oil

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Journal Article

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Elsevier BV

Abstract

Biodiesel is considered one of the alternative replacements to fossil fuels. However, the major challenge associated with its application in diesel engines is the higher level of NOₓ emissions. Fuel modification technologies, where biodiesel is blended with various additives and fuels, have emerged as a distinguished method in recent years to improve engine performance and reduce NOₓ. The study aims to reduce NOₓ emissions by fuel modification techniques. Five blends were prepared using Tucuma biodiesel along with ethanol, carbon nanotubes, and eucalyptus oil. The prepared blends were deployed to a test bed engine at rated speed and by varying loads to investigate performance, emission, and combustion characteristics. The results revealed that ethanol-blended fuels such as DE10 and TB10E10 had reduced the NOₓ emissions by 51.37% and 9%, respectively, at lower loads compared to diesel. Although the nanoparticle blend exhibited increased NOₓ emissions compared to diesel, it demonstrated reductions of 4.1%, 4.56%, 7.2%, and 3.1% at loads of 25%, 50%, 75%, and 100%, respectively, compared to TB10. The study highlights various tradeoffs observed between operating conditions and engine parameters for the blends, as detailed in this research. The study found that blends TB10E10 and TB10E10CNT20 exhibit improved performance close to that of diesel and reduced NOₓ and CO emissions compared to that of diesel and TB10. The study recommends further exploring the impact of injection rates with ethanol-blended fuels as they showed longer ignition delays since advancing the injection can create better combustion with ethanol blends.

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Journal of Cleaner Production, ISSN: 0959-6526 (Print), Elsevier BV, 467, 142968-142968. doi: 10.1016/j.jclepro.2024.142968

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© 2024 The Author(s). Published by Elsevier Ltd. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed.