Enhancing engine power and torque and reducing exhaust emissions of blended fuels derived from gasoline-propanol-nano particles

Narges Karimi Abiyazani, Vahid Pirouzfar and Chia-Hung Su

Energy, 2022, vol. 241, issue C

Abstract: The present research aims to study the impact of different gasoline additives and engine conditions on engine performance and combustion emissions. To this end, the experimental design and study with related modeling and optimization techniques are applied for appropriate and accurate evaluations and analysis. The D-optimal methodology is used to optimize engine power and exhaust emission through implementing the general blended fuel preparation and engine conditions considering the five main parameters, including choice of n-propanol loading percentage, type of nanoparticle materials, particle parentage in the blend, engine speed, and throttle. Findings by modeling analysis showed that the quadric and cubic terms of these five variables had significant and essential effects. The optimal conditions are obtained in blend of 8 wt% of n-propanol and 0.2 wt% of aluminum oxide (Al2O3), and engine speed and throttle of 1750 rpm and 26%, respectively. Under these conditions, the model estimated the CO, CO2, HC, and NOx emissions of 2.24, 5.09, 68.94, and 152.7 ppm, respectively. Employed experimental study, optimization procedure, and developed models can be used as a valuable technique for preparing modified gasoline fuels with effective performance.

Keywords: Oxygenated additives; Emissions and pollutants; Nanoparticles; Normal propanol; Gasoline; Octane index (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:241:y:2022:i:c:s036054422103173x

DOI: 10.1016/j.energy.2021.122924

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