Prediction and measurement of pollutant emissions in CNG fired internal combustion engine

In the present study, the detailed reaction mechanisms were developed and Chemkin 4.1.1 was implemented to predict the formation of pollutant species in compressed natural gas （CNG） fired internal combustion （IC） engine. The proposed mechanisms were developed by coupling the EXGAS （an automatic mech...

Full description

Saved in:
Bibliographic Details
Published in:Journal of natural gas chemistry 2010-09, Vol.19 (5), p.539-547
Main Authors: Mansha, M., Saleemi, A.R., Javed, S.H., Ghauri, Badar M.
Format: Article
Language:English
Subjects:
Applied sciences
Carbon monoxide
CNG
Compressed
Energy
Energy. Thermal use of fuels
Engines and turbines
Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc
Exact sciences and technology
Internal combustion
Joining
kinetic mechanism
Natural gas
oxidation
pollutant species
Pollutants
rate of production
Simulation
内燃机
反应机理
排放测量
机制分析
污染物种类
汽车污染物
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the present study, the detailed reaction mechanisms were developed and Chemkin 4.1.1 was implemented to predict the formation of pollutant species in compressed natural gas （CNG） fired internal combustion （IC） engine. The proposed mechanisms were developed by coupling the EXGAS （an automatic mechanism generation tool for alkane oxidation） mechanisms with the Leed＇s NOz mechanism （version 2.0）. The simulation results of each proposed mechanism were validated by the experimental measurements for profiles of temperature, pressure and pollutant species （CO, NOx）. The rate of production analysis of each mechanism identified the important reactions in each mechanism which contributed to the formation of pollutant species. In spite of some discrepancies, the experimental measurements indicate that Mechanism-IV （consisting of 208 reactions and 78 species） showed closer agreement for each of the predicted profiles of temperature, pressure and pollutant species （CO, NOx）.
ISSN:1003-9953
DOI:10.1016/S1003-9953(09)60103-1