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

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

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.

Suggested Citation

  • Channapattana, S.V. & Pawar, Abhay A. & Kamble, Prashant G., 2017. "Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model," Applied Energy, Elsevier, vol. 187(C), pages 84-95.
    • Handle: RePEc:eee:appene:v:187:y:2017:i:c:p:84-95
    DOI: 10.1016/j.apenergy.2016.11.030
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