Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model

S.V. Channapattana, Abhay A. Pawar and Prashant G. Kamble

Applied Energy, 2017, vol. 187, issue C, 84-95

Abstract: Honne oil methyl ester which is derived from non-edible Honneoil was blended with petroleum diesel fuel and tested on the DI-CI engine. The experiments were conducted at different levels of operating parameters, viz. compression ratio, static injection timing, fuel injection pressure, load and blend. This study aims to determine optimal combination of engine operating parameters with objective of attaining better performance and lower emission. The multi-objective optimisation based on Genetic algorithm is performed which lead to multi pareto optimal solution.

Keywords: Multi-objective optimisation; Artificial neural networks; Exhaust emission; Bio-diesel; Regression analysis (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (16)

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DOI: 10.1016/j.apenergy.2016.11.030

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