The present work analyzes the cyclic variability in spark ignition engines fuelled by different gasoline-hydrogen blends by means of quasi-dimensional computer simulations. The cyclic variability is a well-known phenomenon in this kind of engines, especially when operating at lean conditions. It can affect engine stability and efficiency to a great extent. Among its main causes is the development of turbulent combustion in each cycle, which is associated with turbulent flow during admission. On the other hand, hydrogen is a fuel known by its elevated laminar flame speed, which is in principle interesting to increase the rate of combustion, and so decrease cyclic variability effects. Our group has developed a quasi-dimensional numerical simulation that incorporates cycle-to-cycle variability. In the present work, the effect of hydrogen addition is considered in the model. Wrinkled flame effects are taken into account by introducing a linear factor dependent on the amount of hydrogen in the fuel, affecting the flame area development. The model is validated by direct comparison with experimental results. Studying the coefficient of variation of power output time series, it is concluded that for lean mixtures, when the percentage of hydrogen increases, the cyclic variability decreases up to a minimum value, which depends on the fuel-air equivalence ratio. Minimum values of cyclic variability amplitude are observed at fuel ratios near 0.9 and 70% percentage of hydrogen in fuel by volume.
Martinez-boggio, S. D., Curto-risso, P. L., Medina, A., Calvo, A. (2016). Numerical approach on the effects of gasoline-hydrogen blends on the cyclic variability in spark ignition engines. International Journal of Thermodynamics, 19(2), 92-100. https://doi.org/10.5541/ijot.5000155476
AMA
Martinez-boggio SD, Curto-risso PL, Medina A, Calvo A. Numerical approach on the effects of gasoline-hydrogen blends on the cyclic variability in spark ignition engines. International Journal of Thermodynamics. May 2016;19(2):92-100. doi:10.5541/ijot.5000155476
Chicago
Martinez-boggio, Santiago Daniel, Pedro Luis Curto-risso, Alejandro Medina, and Antonio Calvo. “Numerical Approach on the Effects of Gasoline-Hydrogen Blends on the Cyclic Variability in Spark Ignition Engines”. International Journal of Thermodynamics 19, no. 2 (May 2016): 92-100. https://doi.org/10.5541/ijot.5000155476.
EndNote
Martinez-boggio SD, Curto-risso PL, Medina A, Calvo A (May 1, 2016) Numerical approach on the effects of gasoline-hydrogen blends on the cyclic variability in spark ignition engines. International Journal of Thermodynamics 19 2 92–100.
IEEE
S. D. Martinez-boggio, P. L. Curto-risso, A. Medina, and A. Calvo, “Numerical approach on the effects of gasoline-hydrogen blends on the cyclic variability in spark ignition engines”, International Journal of Thermodynamics, vol. 19, no. 2, pp. 92–100, 2016, doi: 10.5541/ijot.5000155476.
ISNAD
Martinez-boggio, Santiago Daniel et al. “Numerical Approach on the Effects of Gasoline-Hydrogen Blends on the Cyclic Variability in Spark Ignition Engines”. International Journal of Thermodynamics 19/2 (May 2016), 92-100. https://doi.org/10.5541/ijot.5000155476.
JAMA
Martinez-boggio SD, Curto-risso PL, Medina A, Calvo A. Numerical approach on the effects of gasoline-hydrogen blends on the cyclic variability in spark ignition engines. International Journal of Thermodynamics. 2016;19:92–100.
MLA
Martinez-boggio, Santiago Daniel et al. “Numerical Approach on the Effects of Gasoline-Hydrogen Blends on the Cyclic Variability in Spark Ignition Engines”. International Journal of Thermodynamics, vol. 19, no. 2, 2016, pp. 92-100, doi:10.5541/ijot.5000155476.
Vancouver
Martinez-boggio SD, Curto-risso PL, Medina A, Calvo A. Numerical approach on the effects of gasoline-hydrogen blends on the cyclic variability in spark ignition engines. International Journal of Thermodynamics. 2016;19(2):92-100.
