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Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks

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  • Rezaei, Javad
  • Shahbakhti, Mahdi
  • Bahri, Bahram
  • Aziz, Azhar Abdul

Abstract

Butanol and ethanol are promising conventional fuel alternatives particularly when utilized in advanced combustion mode like homogeneous charge compression ignition (HCCI). This study investigates the performance and emission characteristics of HCCI engines fueled with oxygenated fuels (i.e. butanol and ethanol). The investigation is done through a combination of experimental data analysis and artificial neural network (ANN) modeling.

Suggested Citation

  • Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
    • Handle: RePEc:eee:appene:v:138:y:2015:i:c:p:460-473
    DOI: 10.1016/j.apenergy.2014.10.088
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