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Predicting the combustion behaviour of compression ignition engine fuelled with biodiesel from Stoechospermum marginatum, a macro algae

Abstract

Biodiesel is one among the recent developments in the field of renewable energy research. To enhance the combustion characteristics of compression ignition engine, industry and academicians were working towards clean and renewable energy resource. Algal biodiesel was one of the major research arenas in the recent decade of renewable energy. Bio-oil from marine brown macro algae, Stoechospermum marginatum was used as the test fuel in this study. The purpose of this numerical study was to analyse the combustion behaviour of compression ignition engine when fuelled with Stoechospermum marginatum biodiesel as a fuel. The numerical study was performed using the zero-dimensional combustion model by incorporating the dynamic combustion duration during the heat transfer using the MATLAB Simulink software. The developed model which incorporated the instantaneous combustion duration was a novel approach. Validations of the numerical results on combustion features like in-cylinder pressure, rate of pressure rise, rate of heat release, and cumulative heat release were done by comparing it with the experimental data. The deviation between the numerical and experimental values was found to be within 5 to 6%.

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Abbreviations

D100:

100% diesel

D80ABD20:

80% diesel + 20% biodiesel

D80ABD20nB10:

80% diesel + 20% biodiesel + 10% n-butanol

ABD100:

100% biodiesel

CFD:

computational fluid dynamics

TDC:

top dead centre

ROPR:

rate of pressure rise

ROHR:

rate of heat release

CO:

carbon monoxide

UBHC:

unburned hydrocarbon

NOx:

oxides of nitrogen

CHR:

cumulative heat release

CA:

crank angle

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Correspondence to Hariram Venkatesan.

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Highlights

• Dynamic combustion duration with respect to variable engine loading conditions was incorporated in the zero-dimensional combustion model using MATLAB Simulink.

• Investigation was performed using the zero-dimensional combustion model to predict the combustion characteristics, and validated with experimental findings.

• Variations between the experimental and numerical predictions was found to be within the range of 5 to 6%.

• Earlier numerical studies considered the combustion duration period as constant, but in real-time scenario, this was not the case. The present study included the mass fraction burnt by considering the dynamic combustion duration in the heat transfer model to accurately predict combustion characteristics.

Responsible editor: Philippe Garrigues

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Venkatesan, H., Rose, G.J.J., Vijayarengan, P. et al. Predicting the combustion behaviour of compression ignition engine fuelled with biodiesel from Stoechospermum marginatum, a macro algae. Environ Sci Pollut Res 28, 63464–63479 (2021). https://doi.org/10.1007/s11356-020-10048-z

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  • DOI: https://doi.org/10.1007/s11356-020-10048-z

Keywords

  • Combustion
  • Pressure
  • Heat release
  • Zero-dimensional model
  • Stoechospermum marginatum