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Neuro fuzzy estimation of the most influential parameters for Kusum biodiesel performance

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  • Petković, Dalibor
  • Barjaktarovic, Miljana
  • Milošević, Slaviša
  • Denić, Nebojša
  • Spasić, Boban
  • Stojanović, Jelena
  • Milovancevic, Milos

Abstract

In order to reduce cost of biodiesel production there is need to use non-edible oil. Kusum feed oil is non-edible oil, low cost and substantial available for biodiesel production. To improve Kusum biodiesel performance and emission parameters there is need to analyze input variables in more comprehensive way. It is suitable to establish computational models to obtain optimal parameters. The main goal of the paper was to establish and adaptive neuro fuzzy inference system (ANFIS) to determine the impact of blending, fuel injection timing, fuel injection pressure and engine load on brake thermal efficiency, unburnt hydrocarbons and oxides of nitrogen. It was found that the fuel injection pressure and engine load is the most influential factors on the brake thermal efficiency, unburnt hydrocarbons and oxides of nitrogen. The results could be useful for optimization of the Kusum biodiesel performance and emission parameters.

Suggested Citation

  • Petković, Dalibor & Barjaktarovic, Miljana & Milošević, Slaviša & Denić, Nebojša & Spasić, Boban & Stojanović, Jelena & Milovancevic, Milos, 2021. "Neuro fuzzy estimation of the most influential parameters for Kusum biodiesel performance," Energy, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:energy:v:229:y:2021:i:c:s0360544221008707
    DOI: 10.1016/j.energy.2021.120621
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    References listed on IDEAS

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