Development and Validation of a Quasi-Dimensional Model for (M)Ethanol-Fuelled SI Engines

  • Jeroen Vancoillie
  • Louis Sileghem
  • Joachim Demuynck
  • Sebastian Verhelst
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 190)


Methanol and ethanol are interesting spark ignition engine fuels, both from a production and an end-use point of view. Despite promising experimental results, the full potential of these fuels remain to be explored. In this respect, quasi-dimensional engine simulation codes are especially useful as they allow cheap and fast optimization of engines. The aim of the current work was to develop and validate such a model for methanol-fuelled engines. Several laminar burning velocity correlations and turbulent burning velocity models were implemented in a QD code and their predictive performance was assessed for a wide range of engine operating conditions. The effects of compression ratio and ignition timing on the in-cylinder combustion were well reproduced irrespective of the employed u l correlation or u te model. However, to predict the effect of changes in mixture composition, the correlation and model selection proved crucial. Compared to existing correlations, a new correlation developed by the current authors led to better reproduction of the effects of equivalence ratio and residual gas content and the combustion duration. For the turbulent burning velocity, the models of Damköhler and Peters consistently underestimated the influence of equivalence ratio and residual gas content on the combustion duration, while the Gülder, Leeds, Zimont and Fractals model corresponded well with the experiments. The combination of one of these models with the new u l correlation can be used with confidence to simulate the performance and efficiency of methanol-fuelled engines.


Alcohols Spark ignition engine Thermodynamic Modelling 



J. Vancoillie and L. Sileghem gratefully acknowledge a Ph. D. Fellowship of the Research Foundation—Flanders (FWO09/ASP/030 and FWO11/ASP/056). The authors would like to thank BioMCN for providing the bio-methanol used in this study.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jeroen Vancoillie
    • 1
  • Louis Sileghem
    • 1
  • Joachim Demuynck
    • 1
  • Sebastian Verhelst
    • 1
  1. 1.Ghent UniversityGhent Belgium

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