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

Hariram VenkatesanGodwin John John RosePreethi VijayarenganSeralathan SivamaniJagannathan KrishnanMicha Premkumar Thomai
Published in: Environmental science and pollution research international (2020)
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%.
Keyphrases
  • particulate matter
  • sewage sludge
  • municipal solid waste
  • heat stress
  • machine learning
  • electronic health record
  • heavy metals