Studies on dual fuel engine performance and exhaust emission analysis by response surface methodology

2014 ◽  
Vol 6 (1) ◽  
pp. 013103 ◽  
Author(s):  
R. Senthilraja ◽  
V. Sivakumar ◽  
J. Prakash Maran
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Engine Performance ◽  
Exhaust Emission ◽  
Dual Fuel ◽  
Emission Analysis

scholarly journals Performance and Emission Analysis of a CI Engine in Dual Mode with LPG and Karanja Oil Methyl Ester

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
S. K. Acharya ◽  
S. P. Jena
Keyword(s):  
Methyl Ester ◽  
Engine Performance ◽  
Exhaust Emission ◽  
Dual Fuel ◽  
Oxides Of Nitrogen ◽  
Liquefied Petroleum Gas ◽  
Emission Analysis ◽  
Performance And Emission ◽  
Ci Engine ◽  
Karanja Oil

The use of liquefied petroleum gas (LPG) is experimented with to improve the performance of a dual fuel compression ignition (CI) engine running on Karanja oil methyl ester (KOME) blends. Diesel is used as a reference fuel for the dual fuel engine results. During the experimentation, the engine performance is measured in terms of brake thermal efficiency (BTE) and brake specific fuel consumption (BSFC), and exhaust emission is measured in terms of carbon monoxide (CO), hydrocarbon (HC), and oxides of nitrogen (). Dual fuel engine with LPG showed a reduction in and smoke emission; however, it suffers from high HC and CO emission, particularly, at lower loads due to poor ignition. Comparison of performance and emissions is done for diesel and blends of KOME. Results showed that using KOME blends (10% and 20%) has improved the CI engine performance with a reduction in HC and CO emissions.

scholarly journals Emission and Performance Optimization of Marine Four-Stroke Dual-Fuel Engine Based on Response Surface Methodology

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Huaiyu Wang ◽  
Huibing Gan ◽  
Guanjie Wang ◽  
Guoqiang Zhong
Keyword(s):  
Response Surface Methodology ◽  
Natural Gas ◽  
Response Surface ◽  
Performance Optimization ◽  
Engine Performance ◽  
Dual Fuel ◽  
Boost Pressure ◽  
Shipping Industry ◽  
Performance And Emissions ◽  
And Performance

As the emissions regulations have become more stringent, reducing NOX emissions is of great importance to the shipping industry. Due to the price and emissions advantages of natural gas, the diesel-natural gas engines have become an attractive solution for engine manufacturers. Firstly, in this paper, the NOX emissions prediction model of a large marine four-stroke dual-fuel engine is built by using AVL-BOOST. In addition, the model is further calibrated to calculate the performance and emissions of the engine. Then, the influences of boost pressure, compression ratio, and the timing of intake valve closing on engine performance and emissions are analyzed. Finally, the response surface methodology is used to optimize the emissions and performance to obtain the optimal setting parameters of the engine. The results indicate that the response surface method is a highly desirable optimization method, which can save a lot of repeated research. Compared with the results from manufactured data, the power is increased by 0.55% and the BSFC, the NOX emissions, and the peak combustion pressure are decreased by 0.60%, 13.21%, and 1.51%, respectively, at low load.

Parameter optimization of a diesel engine to reduce noise, fuel consumption, and exhaust emissions using response surface methodology

2005 ◽  
Vol 219 (10) ◽  
pp. 1181-1192 ◽  
Author(s):  
Z Win ◽  
R P Gakkhar ◽  
S C Jain ◽  
M Bhattacharya
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Fuel Consumption ◽  
Parameter Optimization ◽  
Direct Injection ◽  
Engine Performance ◽  
Optimization Techniques ◽  
Injection Timing ◽  
Test Engine

The conflicting effects of the operating parameters and the injection parameter (injection timing) on engine performance and environmental pollution factors is studied in this paper. As an optimization objective, a 3.5 kW small direct injection diesel engine was used as the test engine, and its speed, load, and static injection timing were varied as per 4 × 4 × 3 full factorial design array. Radiated engine noise, smoke level, brake specific fuel consumption, and emissions of unburned hydrocarbons and nitrogen oxides were captured for all test runs. Objective functions relating input and output parameters were obtained using response surface methodology (RSM). Parameter optimization was carried out to control output responses under their mean limit using multi-objective goal programming and minimax programming optimization techniques.

Sign in / Sign up

Export Citation Format

Share Document