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  • 标题:Numerical modeling of oxides of nitrogen based on density of biodiesel fuels
  • 本地全文:下载
  • 作者:A. Gopinath ; Sukumar Puhan ; G. Nagarajan
  • 期刊名称:International Journal of Energy and Environment
  • 印刷版ISSN:2076-2895
  • 电子版ISSN:2076-2909
  • 出版年度:2010
  • 卷号:1
  • 期号:2
  • 页码:313-320
  • 出版社:International Energy and Environment Foundation (IEEF)
  • 摘要:Biodiesel is an alternative fuel derived from vegetable oils or animal fats. Research has shown that biodiesel fueled engines produce lesser carbon monoxide, unburned hydrocarbon, and particulate emissions compared to mineral based diesel fuel but emit higher oxides of nitrogen (NOx) emissions. NOx could be strongly correlated with density or cetane number of a fuel. The objective of the present work is to predict the NOx concentration of a neat biodiesel fueled compression ignition engine from the density of biodiesel fuels using regression model. Experiments were conducted at different engine loads and the results were given as inputs to develop the regression model. A single cylinder, four stroke, constant speed, air cooled, direct injection diesel engine was used for the experiments. Five different biodiesel fuels were used and NOx were measured at different engine loads. The NOx concentration was taken as response (dependent) variable and the density values were taken as explanatory (independent) variables. The regression model has yielded R2 values between 0.918 and 0.995. The maximum prediction error was found to be 3.01 %.

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