Blucher Engineering Proceedings

Setembro 2016, vol.3, num.1 - XXIV Simpósio Internacional de Engenharia Automotiva
Artigo - Open Access Idioma principal | Segundo principal

Octane number’s modeling with oxygenate/hydrocarbon sinergy included

Modelagem de octanagem incorporando sinergia entre oxigenados e hidrocarbonetos

SANTOS, Dinarte; NUNES, Gustavo; MIRANDA, Kleiton Ferreira; S. JR, Cláudio R. Avila da; VELÁSQUEZ, José Antonio

Artigo:

Several physicochemical properties characterize a fuel that yields power, economy and low emissions: volatility, heating value, specific gravity, Sulphur content and antiknock performance. Octane Number (ON) measures the antiknock performance of a gasoline, in other words, its ability to resist knocking as it burns in the combustion chamber. An accurate ON predicting model is fundamental to enable formulation of gasoline at the maximum volumetric yield or at minimum cost. Since the 1940’s technicians are trying to find better ON models. However, the existing models cannot yet accurately predict ON for gasoline formulations containing oxygenates, like ethanol or ether. Even the trendiest models lead to gasohol formulas with either ON giveaway, or a higher than expected cost. Our work proposes an ON model including synergy parameters that capture nonlinear interactions between oxygenates and hydrocarbons. The analysis of an ON database including ethanol and hydrocarbon mixtures made it possible to find blend parameters that capture synergy, defined here as the property of a component possessing a blend ON higher than its own pure component ON. The model enables the formulation of specified gasolines with higher direct distillation naphtha and less ON booster content.

Several physicochemical properties characterize a fuel that yields power, economy and low emissions: volatility, heating value, specific gravity, Sulphur content and antiknock performance. Octane Number (ON) measures the antiknock performance of a gasoline, in other words, its ability to resist knocking as it burns in the combustion chamber. An accurate ON predicting model is fundamental to enable formulation of gasoline at the maximum volumetric yield or at minimum cost. Since the 1940’s technicians are trying to find better ON models. However, the existing models cannot yet accurately predict ON for gasoline formulations containing oxygenates, like ethanol or ether. Even the trendiest models lead to gasohol formulas with either ON giveaway, or a higher than expected cost. Our work proposes an ON model including synergy parameters that capture nonlinear interactions between oxygenates and hydrocarbons. The analysis of an ON database including ethanol and hydrocarbon mixtures made it possible to find blend parameters that capture synergy, defined here as the property of a component possessing a blend ON higher than its own pure component ON. The model enables the formulation of specified gasolines with higher direct distillation naphtha and less ON booster content.

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DOI: 10.5151/engpro-simea2016-PAP109

Referências bibliográficas
  • [1] Foong, T. M.; Morganti, K. J.; a, Brear, M. J.; Silva, G.; Yang, Y.; Dryer, F. L. The octane numbers of ethanol blended with gasoline and its surrogates. Fuel 115 (2014) 727–739
  • [2] Ghosh, P; Hickey, K. J.; Jaffe, S. B. Development of a Detailed Gasoline Composition-Based Octane Model. Ind. Eng. Chem. Res. 2006, 45, 337-345
  • [3] Knop, V; Loos, M.; Pera, C; Jeuland N.; A linear-by-mole blending rule for octane numbers of n-heptane/iso-octane/toluene mixtures. Fuel 115 (2014) 666–673
  • [4] Yunusa, N. A.; Gernaeya, K. V.; Woodleya, J. M. A systematic methodology for design of tailor-made blended products. Computers and Chemical Engineering 66 (2014) 201–213
Como citar:

SANTOS, Dinarte; NUNES, Gustavo; MIRANDA, Kleiton Ferreira; S. JR, Cláudio R. Avila da; VELÁSQUEZ, José Antonio; "Octane number’s modeling with oxygenate/hydrocarbon sinergy included", p-831-837. In: Anais do XXIV Simpósio Internacional de Engenharia Automotica - SIMEA 2016 [=Blucher Engineering Proceedings].. São Paulo: Blucher, 2016.
ISSN 23577592, DOI 10.5151/engpro-simea2016-PAP109

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