Predicting the temperature dependent viscosity of biodiesel fuels

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

doi:10.1016/j.fuel.2008.11.011

Predicting the temperature dependent viscosity of biodiesel fuels

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

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	1120-1126
Number of pages	7
Journal	Fuel
Volume	88
Issue number	6
DOIs	https://doi.org/10.1016/j.fuel.2008.11.011
State	Published - Jun 2009

Keywords

Biodiesel
Esters
Viscosity

ASJC Scopus subject areas

General Chemical Engineering
Fuel Technology
Energy Engineering and Power Technology
Organic Chemistry

Online availability

10.1016/j.fuel.2008.11.011

Library availability

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title = "Predicting the temperature dependent viscosity of biodiesel fuels",

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%.",

keywords = "Biodiesel, Esters, Viscosity",

author = "W. Yuan and Hansen, {A. C.} and Q. Zhang",

note = "Funding Information: This material is based on work supported by the Cooperative State Research, Education and Extension Services, US Department of Agriculture, under Project No. Hatch 10-311 AE. Financial support was also provided by the Kansas Agricultural Experiment Station (Contribution No. 08-401-J) and the University of Illinois Campus Research Board. We thank Dr. Jon Van Gerpen and Mustafa Tat at the Iowa State University for their assistance in providing biodiesel samples.",

year = "2009",

month = jun,

doi = "10.1016/j.fuel.2008.11.011",

language = "English (US)",

volume = "88",

pages = "1120--1126",

journal = "Fuel",

issn = "0016-2361",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Predicting the temperature dependent viscosity of biodiesel fuels

AU - Yuan, W.

AU - Hansen, A. C.

AU - Zhang, Q.

N1 - Funding Information: This material is based on work supported by the Cooperative State Research, Education and Extension Services, US Department of Agriculture, under Project No. Hatch 10-311 AE. Financial support was also provided by the Kansas Agricultural Experiment Station (Contribution No. 08-401-J) and the University of Illinois Campus Research Board. We thank Dr. Jon Van Gerpen and Mustafa Tat at the Iowa State University for their assistance in providing biodiesel samples.

PY - 2009/6

Y1 - 2009/6

N2 - 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%.

AB - 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%.

KW - Biodiesel

KW - Esters

KW - Viscosity

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DO - 10.1016/j.fuel.2008.11.011

M3 - Article

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SN - 0016-2361

VL - 88

SP - 1120

EP - 1126

JO - Fuel

JF - Fuel

IS - 6

ER -

Predicting the temperature dependent viscosity of biodiesel fuels

Abstract

Keywords

ASJC Scopus subject areas

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