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

Author(s):  
Ashish Kumar Singh ◽  
Abhishek Sharma ◽  
Naveen Kumar
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
S. K. Acharya ◽  
S. P. Jena

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.


2016 ◽  
Vol 8 ◽  
pp. 241-243 ◽  
Author(s):  
Shikha Gangil ◽  
Ranjana Singh ◽  
Priyanka Bhavate ◽  
Divya Bhagat ◽  
Bharat Modhera

2020 ◽  
Vol 142 (8) ◽  
Author(s):  
Mayank Kapoor ◽  
Narendra Kumar ◽  
Ajay Singh Verma ◽  
Gaurav Gautam ◽  
Aditya Kumar Padap

Abstract This paper depicts Box-Behnken design (BBD) approach to optimize the performance and emission characteristics of adjustable compression ratio, single- cylinder diesel engine with nanoparticle-blended biofuel. Cerium oxide (CeO2) nanoparticles and diethyl ether (DEE) are mixed with neem methyl ester (NME) in corresponding ratios as per BBD experimental plan. Engine performance characteristics brake thermal efficiency (BTE), brake-specific fuel consumption (BSFC), and NOx, CO, HC, and CO2 emissions have been analyzed. To study the influence of input parameters, quadratic models are developed on each output response using analysis of variance (ANOVA). Desirability function approach has been used to optimize the performance of multi-response parameters. The results revealed that nanoparticles mixed blends of NME and DEE enhances the performance characteristics and reduce the harmful emissions.


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