Predicting the temperature dependent viscosity of biodiesel fuels

W. Yuan, A. C. Hansen, Q. Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

The purpose of this work was to develop a method for predicting temperature dependent viscosities of biodiesel based on fatty acid ester composition. The Grunberg-Nissan equation combined with a group contribution method was used as the mixing rule to calculate viscosities of mixtures of fatty acid esters. Prediction errors at 25 °C were less than 2.5% for 22 mixtures of fatty acid ethyl esters. Compared with experimentally measured viscosities at 20-100 °C, predicted viscosities of soybean oil and yellow grease methyl esters were within 3%. For coconut, palm and canola oil methyl esters, maximum errors were underestimations at approximately 7%.

Original languageEnglish (US)
Pages (from-to)1120-1126
Number of pages7
JournalFuel
Volume88
Issue number6
DOIs
StatePublished - Jun 2009

Keywords

  • Biodiesel
  • Esters
  • Viscosity

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Organic Chemistry

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