Predicting the performance and emissions characteristics of a medium duty engine retrofitted with compressed natural gas system using 1-dimensional software
The rise of crude oil price and the implications of exhaust emissions to the environment from combustion application call for a new reliable alternative fuel. A potential alternative fuel for compression ignition (C.I.) engine is the compressed natural gas (CNG). For C.I. engines to operate using CN...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Trans Tech Publications Inc
2014
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.4028/www.scientific.net/AMM.660.468 http://dx.doi.org/10.4028/www.scientific.net/AMM.660.468 http://eprints.uthm.edu.my/6437/1/Predicting_the_Performance_and_Emissions_Characteristics_of_a_Medium.pdf |
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| Summary: | The rise of crude oil price and the implications of exhaust emissions to the environment
from combustion application call for a new reliable alternative fuel. A potential alternative fuel for
compression ignition (C.I.) engine is the compressed natural gas (CNG). For C.I. engines to operate
using CNG, or to be converted as a retrofitted CNG engine, further modifications are required.
Previous works reported loss in brake power (BP) and increase in hydrocarbon (HC) emission for
C.I. engine retrofitted with CNG fuelling. Verification of performance characteristics for CNG
retrofitted engine through experimental analysis requires high cost and is very time consuming.
Thus, a 1-Dimensional simulation software, GT-Power, was introduced in this study to reduce the
experimental process and setup. A 4-cylinder medium duty C.I. engine (DE) and CNG retrofitted
engine (RE) GT-Power models were used in this simulation work over various operational
conditions: low, medium and high load conditions. As compared with DE model, results from RE
model showed that RE model achieved an average 4.9% improvement for brake specific fuel
consumption (BSFC) and loss in BP by 37.3%. For nitrogen oxides (NOX) and carbon dioxides
(CO2) RE model predicted reduction of 48.1% (engine mode 1-9) and 33.4% (all engine modes),
respectively. Moreover, RE produced 72.4% more carbon monoxide (CO) and 90.3% more HC
emission. |
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