Research Article

Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine

Volume: 5 Number: 1 November 1, 2019
TR EN

Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine

Abstract

In this study, the effects of different biodiesel pilot fuel injection pressures on performance characteristics of a natural gas engine were investigated using ‘Kinetics & SRM Engine Suite’ software which is based on stochastic reactor model (SRM). This advanced software uses chemical kinetic mechanisms of fuels to simulate combustion process of the engine. ‘Methyl decanoate/methyl-9-decenoate/n-heptane’ reduced chemical kinetic mechanism including 71 species and 217 reactions were defined as a biodiesel surrogate fuel chemical kinetic mechanism to represent biodiesel fuel in this study. Theoretical model set by the way of software tools was validated by experimental data. Then, simulation was run in three different stochastic particle numbers (50, 100, and 150) to investigate engine performance characteristics of a biodiesel pilot-fueled natural gas engine. It is observed that as pilot fuel injection pressure increases, engine torque and brake power enhance, but brake specific fuel consumption decreases. Furthermore, various stochastic particle numbers used in the simulation did not dramatically affect data of engine performance characteristics simulated.

Keywords

References

  1. Namasivayam, A.M., Korakianitis, T., Crookes, R.J., Bob-Manuel, K.D.H., Olsen, J., (2010). Biodiesel, emulsified biodiesel and dimethyl ether as pilot fuels for natural gas fuelled engines. Applied Energy, 87(3): 769-778. doi:10.1016/j.apenergy.2009.09.014
  2. Papagiannakis, R.G., Kotsiopoulos, P.N., Zannis, T.C., Yfantis, E.A., Hountalas, D.T., Rakopoulos, C.D., (2010). Theoretical study of the effects of engine parameters on performance and emissions of a pilot ignited natural gas diesel engine. Energy, 35(2): 1129-1138. doi:10.1016/j.energy.2009.06.006
  3. Bissoli, M., Frassoldati, A., Cuoci, A., Ranzi, E., Mehl, M., Faravelli, T., (2016). A new predictive multi-zone model for HCCI engine combustion. Applied Energy, 178: 826-843. doi:10.1016/j.apenergy.2016.06.062
  4. Wang, Y., Liu, H., Huang, Z., Liu, Z., (2016). Study on combustion and emission of a dimethyl ether-diesel dual-fuel premixed charge compression ignition combustion engine with LPG (liquefied petroleum gas) as ignition inhibitor. Energy, 96: 278-285. doi:10.1016/j.energy.2015.12.056
  5. Li, Y., Jia, M., Chang, Y., Xie, M., Reitz, R.D., (2016). Towards a comprehensive understanding of the influence of fuel properties on the combustion characteristics of a RCCI (reactivity controlled compression ignition) engine. Energy, 99: 69-82. doi:10.1016/j.energy.2016.01.056
  6. Park, S.H., Yoon, S.H., (2016). Effect of dual-fuel combustion strategies on combustion and emission characteristics in reactivity controlled compression ignition (RCCI) engine, Fuel, 181: 310-318. doi:10.1016/j.fuel.2016.04.118
  7. Dizy, J., Bhave, A., Ooi, D., Soyhan, H.S. 2016. Bringing and combustion characteristics within IC engine simulation and optimization work-flow, 5th International Conference on Fuels, Fire and Combustion in Engineering, İstanbul, TURKEY.
  8. Anetor, L., (2012). Comparison of Flow Parameters in Internal Combustion Engines, Arabian Journal for Science and Engineering, 38(2): 285-300. doi:10.1007/s13369-012-0448-2

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

November 1, 2019

Submission Date

April 1, 2019

Acceptance Date

May 13, 2019

Published in Issue

Year 2019 Volume: 5 Number: 1

APA
Pehlivan, E. F., & Altın, İ. (2019). Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine. Turkish Journal of Maritime and Marine Sciences, 5(1), 53-63. https://izlik.org/JA92ZD59XE
AMA
1.Pehlivan EF, Altın İ. Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine. TRJMMS. 2019;5(1):53-63. https://izlik.org/JA92ZD59XE
Chicago
Pehlivan, Enes Fatih, and İsmail Altın. 2019. “Investigation of Performance Characteristics Using Stochastic Reactor Model in a Biodiesel Pilot-Fueled Natural Gas Engine”. Turkish Journal of Maritime and Marine Sciences 5 (1): 53-63. https://izlik.org/JA92ZD59XE.
EndNote
Pehlivan EF, Altın İ (November 1, 2019) Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine. Turkish Journal of Maritime and Marine Sciences 5 1 53–63.
IEEE
[1]E. F. Pehlivan and İ. Altın, “Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine”, TRJMMS, vol. 5, no. 1, pp. 53–63, Nov. 2019, [Online]. Available: https://izlik.org/JA92ZD59XE
ISNAD
Pehlivan, Enes Fatih - Altın, İsmail. “Investigation of Performance Characteristics Using Stochastic Reactor Model in a Biodiesel Pilot-Fueled Natural Gas Engine”. Turkish Journal of Maritime and Marine Sciences 5/1 (November 1, 2019): 53-63. https://izlik.org/JA92ZD59XE.
JAMA
1.Pehlivan EF, Altın İ. Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine. TRJMMS. 2019;5:53–63.
MLA
Pehlivan, Enes Fatih, and İsmail Altın. “Investigation of Performance Characteristics Using Stochastic Reactor Model in a Biodiesel Pilot-Fueled Natural Gas Engine”. Turkish Journal of Maritime and Marine Sciences, vol. 5, no. 1, Nov. 2019, pp. 53-63, https://izlik.org/JA92ZD59XE.
Vancouver
1.Enes Fatih Pehlivan, İsmail Altın. Investigation of performance characteristics using Stochastic Reactor Model in a biodiesel pilot-fueled natural gas engine. TRJMMS [Internet]. 2019 Nov. 1;5(1):53-6. Available from: https://izlik.org/JA92ZD59XE

Creative Commons Lisansı

This Journal is licensed with Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND 4.0).