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Performance Evaluation of Karanja Oil Based Biodiesel Engine Using Modified Genetic Algorithm
Abstract:This paper presents the evaluation of performance (BSFC and BTE), combustion (Pmax) and emission (CO, NOx, HC and smoke opacity) parameters of karanja biodiesel in a single cylinder, four stroke, direct injection diesel engine by considering significant engine input parameters (blending ratio, compression ratio and load torque). Multi-objective optimization of performance, combustion and emission parameters is also carried out in a karanja biodiesel engine using hybrid RSM-NSGA-II technique. The pareto optimum solutions are predicted by running the hybrid RSM-NSGA-II technique. Each pareto optimal solution is having its own importance. Confirmation tests are also conducted at randomly selected few pareto solutions to check the authenticity of the results.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126567Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 745
 C. J. Sheih, H. F. Liao, and C. C. Lee, “Optimization of lipase-catalyzed biodiesel by response surface methodology,” Bioresource Technology, vol. 88, no. 22, pp. 103-106, 2002.
 S. V. Ghadge, and H. Raheman, “Process optimization for biodiesel production from mahua (Madhuca indica) oil using response surface methodology,” Bioresource Technology, vol. 97, no. 3, pp. 379-384, 2006.
 S. Dhingra, G. Bhushan, and K. K. Dubey, “Development of a combined approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic algorithm,” Frontiers in Energy, vol. 7, no. 4, pp. 495-505, 2013.
 L. Zhang, Q. Jin, K. Zhang, J. Huang, and X. Wang, “The optimization of conversion of waste edible oil to fatty acid methyl esters in homogeneous media,” Energy Source, Part A: Recovery, Utilization, and Environmental Effects, vol. 34, no. 8, pp. 711-719, 2012.
 A. Bouaid, A., M. Martinez, and J. Aracil, “A comparative study of the production of ethyl esters from vegetable oils as a biodiesel fuel optimization by factorial design,” Chemical engineering Journal, vol.134, pp. 93-99, 2007.
 M. Canakci, A. N. Ozsezen, E. Arcaklioglu, and A. Erdil, “Prediction of performance and exhaust emissions of a diesel engine fuelled with biodiesel produced from waste frying pal oil,” Expert System with Applications, vol. 36, no. 5, pp.9268-9280, 2009.
 T. Ganapathy, R. P. Gakkhar, and K. Murugesan, “Optimization of performance parameters of diesel engine with jatropha biodiesel using
 response surface methodology,” International Journal of Sustainable Energy, vol. 30, pp.76-90, 2011.
 M. M. Etghani, M. H. Shojaeefard, A. Khalkhali, and M. Akbari, “A hybrid method of modified NSGA-II and TOPSIS to optimize performance and emissions of a diesel engine using biodiesel,” Applied Thermal Engineering, vol. 59, no. 1-2, pp. 309-315, 2013.
 A. Dhar, and A.K. Agarwal, “Performance, emissions and combustion characteristics of Karanja biodiesel in a transportation engine,” Fuel, vol. 119, pp.70-80, 2014
 M. Vasudeva, S. Sharma, S. K. Mohapatra, and K. Kundu, “Performance and exhaust emission characteristics of variable compression ratio diesel engine fuelled with esters of crude rice bran oil,” SpringerPlus, doi: 10.1186/s40064-016-1945-7, 2016.
 S. Dhingra, G. Bhushan, and K. K. Dubey, “Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominated sorting genetic algorithm-II,” Frontiers of Mechanical Engineering, vol. 9, no. 1, pp. 81–94, 2014.
 K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and elitist multi objective genetic algorithm: NSGA-II,” Evolutionary Computation, IEEE Transactions, vol. 6, no. 2, pp. 182-197, 2002.