Certainties and challenges in modeling unwashed and washed gums formation in Brazilian gasoline–ethanol blends
| Autor: | Ana Rosa Fonseca de Aguiar Martins, Renata Nohra Chaar Pradelle, Sergio Leal Braga, Florian Pradelle, Franck Turkovics |
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| Rok vydání: | 2017 |
| Předmět: |
Ethanol
Waste management Pollutant emissions 020209 energy General Chemical Engineering 02 engineering and technology General Chemistry Combustion Durability chemistry.chemical_compound 020401 chemical engineering chemistry Anhydrous ethanol Biofuel 0202 electrical engineering electronic engineering information engineering 0204 chemical engineering Gasoline Fuel line |
| Zdroj: | Chemical Engineering Research and Design. 122:77-96 |
| ISSN: | 0263-8762 |
| Popis: | During the gasoline storage, gums are formed by a slow oxidation of some unstable compounds, such as olefins. The high molecular mass oxidation products can become insoluble and form deposits. Its excess affects the injection pattern, the fuel combustion, the durability of the fuel line parts and increases the pollutant emissions. Consequently, a robust knowledge is required to assess better the behavior of the fuel, in particular the impact of biofuels. This article discussed the certainties and challenges in modeling gum formation in blends of Brazilian gasoline with anhydrous ethanol. The impact of experimental and mathematical procedures on the robustness of the model was investigated. They make possible to assess quantitatively the impact of aging period, temperature, ethanol and additive contents in the formation of unwashed and washed gums. The results confirmed the promotion of the process with the increase of the temperature and aging period and showed the complex role of ethanol, strongly dependent on the values of the other factors. Moreover, the comparison with former literature showed that the models from this study were more robust and the dependence with chemical matrix of gasoline and ethanol quality was reduced. Recommendations were given to overcome the remaining challenges. |
| Databáze: | OpenAIRE |
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