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https://doi.org/10.17559/TV-20200713134331

Second Law Analysis of Gasoline Powered SI Engines with Hydrogen Injection

Ismail I. Hdaib ; Department of Renewable Energy Engineering, Faculty of Engineering, Isra University, Amman 11622, Jordan Phone: 00962798418429
Jehad A. A. Yamin* orcid.org/0000-0002-7874-358X ; Department of Mechanical Engineering, School of Engineering, The University of Jordan, Amman 11942, Jordan Phone: 00962799609750
Eiman Ali Eh Sheet ; Energy and Renewable Energies Technology Center, University of Technology-Iraq, Baghdad 10066, Al Senaa Street, Iraq Phone: 009647703995667

Sažetak

A simulation study on the effect of hydrogen addition as supplementary fuel to gasoline at lean mixture (equivalence ratio  = 0.8) was carried out in order to reduce the gasoline fuel consumption and harmful emissions. The effect on the first law, emissions, and second law parameters was investigated. This was done by changing the mixture ratio between gasoline and the supplementary fuels to achieve the required equivalence ratio. The first part (first law and emission performance) was conducted for all engine speeds. The second part (second law analysis) was done at the rated speed of 2750 rpm. The simulation study was performed using the date for (Ricardo E6/T variable compression ratio engine), which was used for model verification. The study showed that at lean mixture, hydrogen addition reduced carbon monoxide and nitrogen oxides levels. Hydrogen addition significantly improved the heat release rate; however, due to its fast burning speed, the heat released was close to the top dead centre compared with gasoline. From second law analysis, hydrogen addition caused a slight drop in the work availability, increased availability loss with heat, and an increase in the area under temperature entropy diagram.

Ključne riječi

entropy; engine availability; engine emissions; Gasoline - H2; hydrogen fuel; lean-burn engine

Hrčak ID:

260744

URI

https://hrcak.srce.hr/260744

Datum izdavanja:

22.7.2021.

Posjeta: 1.100 *