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Bi-fuel SI engine model for analysis and optimization
journal contribution
posted on 2019-03-26, 14:11 authored by K. Rezapour, Byron Mason, A.S. Wood, M.K. EbrahimiThe natural gas as an alternative fuel has
economical and environmental benefits. Bi-fuel engines
powered by gasoline and compressed natural gas (CNG) are
an intermediate and alternative step to dedicated CNG
engines. The conversion to bi-fuel CNG engine could be a
short-term solution to air pollution problem in many
developing countries. In this paper a mathematical model of
a bi-fuel four-stroke spark ignition (SI) engine is presented
for comparative studies and analysis. It is based on the
two-zone combustion model, and it has the ability to
simulate turbulent combustion. The model is capable of
predicting the cylinder temperature and pressure, heat
transfer, brake work , brake thermal and volumetric
efficiency, brake torque, brake specific fuel consumption
(BSFC), brake mean effective pressure (BMEP),
concentration of CO2, brake specific CO (BSCO) and brake
specific NOx (BSNOx). The effect of engine speed,
equivalence ratio and performance parameters using
gasoline and CNG fuels are analysed. The model has been
validated by experimental data using the results obtained
from a bi-fuel engine. The results show the capability of the
model in terms of engine performance optimization and
minimization of the emissions. The engine used in this study
is a typical example of a modified bi-fuel engine conversion,
which could benefit the researchers in the field.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Universal Journal of Mechanical EngineeringVolume
2Pages
71 - 82Citation
REZAPOUR, K. ... et al., 2017. Bi-fuel SI engine model for analysis and optimization. Universal Journal of Mechanical Engineering, 2(2), pp. 71-82.Publisher
© Horizon Research Publishing CorporationVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc/4.0/Publication date
2017Notes
This is an Open Access Article. It is published by Horizon Research Publishing under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc/4.0/ISSN
2332-3353Publisher version
Language
- en