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

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

Applied Energy, 2015, vol. 138, issue C, 460-473

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.

Keywords: HCCI; Oxygenated fuel; Engine performance; Neural network (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (25)

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DOI: 10.1016/j.apenergy.2014.10.088

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