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Influence of post-injection parameters on the performance of continuous regeneration trap to mitigate greenhouse gas and particulate emissions from CI engine

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  • Jacob, Ashwin
  • Ashok, B.
  • Usman, Kaisan Muhammad
  • Kulla, D.M.

Abstract

The present study explores the influence of post-injection parameters, namely, post-injection angle and post-injection mass, on a continuous active regeneration trap to mitigate vehicular emissions using diesel enriched by active amyl alcohol from Scenedesmus quadricauda microalgae. From the study, while operating on active amyl alcohol-diesel blend, the maximum de-smoke efficiency for low, medium and high load conditions observed were 67.25%, 55.78% and 46.94% respectively at a post-injection timing of 20°CA aTDC and at a post-injection mass of 2 mg. Furthermore, the maximum de-hydrocarbon efficiency was obtained at a post-injection timing and mass of 10°CA aTDC and 1 mg with a reduction of about 65.45%, 75% and 73.8% for low, medium and high load conditions. However, a 1.36% increase in fuel consumption is observed at late post-injections as compared to diesel fuel. At all cases, simultaneous reduction of particulate smoke emissions and oxides of nitrogen of up to 65.45% and 29% were observed with the complete elimination of carbon monoxide emissions by catalytic oxidation treatment within the after-treatment unit. The novelty of this study is to establish third generation bio-energy as a suitable diesel fuel surrogate for a post-injection activated after-treatment unit.

Suggested Citation

  • Jacob, Ashwin & Ashok, B. & Usman, Kaisan Muhammad & Kulla, D.M., 2022. "Influence of post-injection parameters on the performance of continuous regeneration trap to mitigate greenhouse gas and particulate emissions from CI engine," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222005722
    DOI: 10.1016/j.energy.2022.123669
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    2. Rakopoulos, Constantine D. & Rakopoulos, Dimitrios C. & Kosmadakis, George M. & Zannis, Theodoros C. & Kyritsis, Dimitrios C., 2023. "Studying the cyclic variability (CCV) of performance and NO and CO emissions in a methane-run high-speed SI engine via quasi-dimensional turbulent combustion modeling and two CCV influencing mechanism," Energy, Elsevier, vol. 272(C).

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