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Revista ION
versión impresa ISSN 0120-100X
Resumen
PENALOZA, Andrés D.; RINCON, Andy J.; HERRERA, Adriana P. y OJEDA, Karina A.. Prediction and analysis of emissions from diesel/biodiesel fuel blends modified with alumina nanoparticles and oleic acid. Rev. ion [online]. 2017, vol.30, n.1, pp.45-55. ISSN 0120-100X. https://doi.org/10.18273/revion.v30n1-2017004.
Diesel-RK software was used to evaluate the effect of alumina nanoparticles and oleic acid as additives for reducing greenhouse gas emissions in diesel/biodiesel fuel blends. Thus, it was estimated the physicochemical properties of the fuel blends using correlations for colloidal dispersions and mixing rules. This was achieved by fixing the concentrations of the additives at 10 and 20ppm. The results showed reductions of 11% and 25% for SO2 emissions and particulate material, respectively; while CO2 emissions showed no significant improvements, as well as no significant enhancement was estimated for specific fuel consumption, which remained below 1.0%. Regarding NO2 emissions, an increase from 2.1g/kWh to 3.1g/kWh was observed for the addition of several concentration of nanoadditives; thus, it was evidenced a decrease in the lag time of ignition, which is appropriate for the proper operation of engines.
Palabras clave : nanoadditives; biofuel; diesel; greenhouse gas.