Performance and emission parameters optimization of mahua (Madhuca indica) based biodiesel in direct injection diesel engine using response surface methodology

Abstract

Response surface methodology based prediction of engine performance and exhaust emissions of a diesel engine fuelled with canola oil methyl ester J. Renewable Sustainable Energy 5, 033132 (2013); 10.1063/1.4811801 Artificial neural networks based prediction of performance and exhaust emissions in direct injection engine using castor oil biodiesel-diesel blends J. Renewable Sustainable Energy 4, 063130 (2012); 10.1063/1.4769200 Effect of palm methyl ester-diesel blends performance and emission of a single-cylinder direct-injection diesel engine AIP Conf. Proc. 1440, 562 (2012); 10.1063/1.4704263Investigations on emission characteristics of the pongamia biodiesel-diesel blend fuelled twin cylinder compression ignition direct injection engine using exhaust gas recirculation methodology and dimethyl carbonate as additive Mahua oil ethyl ester was prepared from mahua oil using potassium hydroxide as catalyst by trans-esterification. The important fuel properties of mahua biodiesel blends were compared with those of high speed diesel and biodiesel standards. Variation of brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), P max , CO, NO x , hydrocarbons, and smoke opacity across compression ratio, blending ratio and load were studied successfully using response surface methodology based on Central composite rotatable design. The trends similar to general theory of compression ignition engines (CI) were obtained. Optimum performance and emission parameters were determined by considering the significant variables affecting the diesel engine. Significant reduction in emissions at 23% blending ratio were observed as compared to neat diesel at optimum input variables. Hence mahua biodiesel is an environment friendly alternate fuel over diesel and has good scope to run the compression ignition engines. V C 2013 AIP Publishing LLC. [http://dx.

Performance and Exhaust Emission Optimization of a Dual Fuel Engine by Response Surface Methodology

“…The experimental investigations also showed that the BTE increased with increases in the blend proportions of both SFOME and T-CSNL. This result complies with previously reported studies [20]. The brake thermal efficiency increased with an increase in the CR up to a CR of 19, and then the BTE started to decrease.…”

“…The BSFC was minimal with a compression ratio 19.31 with 20% SFOME blend and 15.72% T-CSNL by volume proportion, as seen from the constant contour plots. This may be due to the higher density of SFOME-T-CSNL blends which results in an increased mass injection of fuel for the same volume at the same injection pressure which leads to a higher BSFC [20].…”

Advancing renewable fuel integration: A comprehensive response surface methodology approach for internal combustion engine performance and emissions optimization

“…Dhingra et al [ 94 ] investigated the optimization of combustion, performance, and emissions parameters in a four-stroke, single-cylinder, DI CI engine powered by jatropha curcas biodiesel-diesel fuel blends using the central composite rotatable design of RSM and non-dominated sorting genetic algorithm-II (NSGA-II). With a total of 20 trials, they adjust the compression ratio, engine load torque, and fuel blending ratio at five levels.…”

Influence of antioxidants on fuel stability of Calophyllum inophyllum biodiesel and RSM-based optimization of engine characteristics at varying injection timing and compression ratio

“…When Jatropha biodiesel experimented using full factorial design with 27 runs and optimized by RSM, the advanced IT by 5°BTDC resulted in lower emission and better performance [45]. Optimal value of 345°ATDC of IT and 15.5:1 of CR was determined using RSM for mahua biodiesel fueled engine concerning lower BSFC, CO, HC, smoke and higher BTE [46]. Hirkude et al optimized the performance characteristics of engine powered with waste fried oil methyl ester using RSM and found optimal values as 17.99 CR and 27°BTDC with higher BTE of 29.76% and lower BSFC of 0.289 kg/kWh [47].…”