Biodiesel Density: Experimental Measurements and Prediction Models

Pratas, Maria Jorge; Freitas, Samuel V. D.; Oliveira, Mariana B.; Monteiro, Silvia; Lima, Álvaro S.; Coutinho, João A. P.

Publication

Biodiesel Density: Experimental Measurements and Prediction Models

2011-05-03Journal article

dc.contributor.author	Pratas, Maria Jorge
dc.contributor.author	Freitas, Samuel V. D.
dc.contributor.author	Oliveira, Mariana B.
dc.contributor.author	Monteiro, Silvia
dc.contributor.author	Lima, Álvaro S.
dc.contributor.author	Coutinho, João A. P.
dc.date.accessioned	2025-12-05T12:42:43Z
dc.date.available	2025-12-05T12:42:43Z
dc.date.issued	2011-05-03
dc.description.abstract	Density is an important biodiesel parameter, with impact on fuel quality. Predicting density is of high relevance for a correct formulation of an adequate blend of raw materials that optimize the cost of biodiesel fuel production while allowing the produced fuel to meet the required quality standards. The aim of this work is to present new density data for different biodiesels and use the reported data to evaluate the predictive capability of models previously proposed to predict biodiesel or fatty acid methyl ester densities. Densities were measured here for 10 biodiesel samples, for which detailed composition is reported, at atmospheric pressure and temperatures from 278.15 to 373.15 K. Density dependence with temperature correlations was proposed for the biodiesels, and isobaric expansivities are presented. The new experimental data presented here were used along with other literature data to evaluate predictive density models, such as those based on Kay’s mixing rules and the GCVOL group contribution method. It is shown that Kay’s mixing rules and a revised form of the GCVOL model are able to predict biodiesel densities with average deviations of only 0.3%. A comparison between biodiesel densities produced from similar vegetable oils, by different authors, highlights the importance of knowing the detailed composition of the samples. An extension of GCVOL for high pressures is also proposed here. It is shown that it can predict the densities of biodiesel fuels with average deviations less than 0.4%.	eng
dc.description.sponsorship	Maria Jorge Pratas acknowledges the financial support from Fundação para a Ciência e a Tecnologia through Ph.D. Grant SFRH/BD/28258/2006. Samuel V. D. Freitas acknowledges a Ph.D. Grant from Fundação Oriente and also financial support from the University of Aveiro.
dc.identifier.citation	Pratas, Maria & Freitas, Samuel & B Oliveira, Mariana & Monteiro, Sílvia & Lima, Alvaro. (2011). Biodiesel Density: Experimental Measurements and Prediction Models. Energy & Fuels. 25. 2333-2340. 10.1021/ef2002124.
dc.identifier.doi	10.1021/ef2002124
dc.identifier.issn	0887-0624
dc.identifier.issn	1520-5029
dc.identifier.uri	http://hdl.handle.net/10400.8/14916
dc.language.iso	eng
dc.peerreviewed	yes
dc.publisher	American Chemical Society (ACS)
dc.relation.hasversion	https://www.scopus.com/pages/publications/79960397464
dc.relation.ispartof	Energy & Fuels
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Atmospheric composition
dc.subject	Atmospheric pressure
dc.subject	Fatty acids
dc.subject	Forecasting
dc.subject	Mathematical models
dc.subject	Synthetic fuels
dc.subject	Vegetable oils
dc.title	Biodiesel Density: Experimental Measurements and Prediction Models	eng
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.endPage	2340
oaire.citation.issue	5
oaire.citation.startPage	2333
oaire.citation.title	Energy & Fuels
oaire.citation.volume	25
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyName	Monteiro
person.givenName	Silvia
person.identifier.ciencia-id	9516-C6EF-0C94
person.identifier.orcid	0000-0002-3348-5556
person.identifier.scopus-author-id	36509040900
relation.isAuthorOfPublication	64cabc69-0629-4d92-a8ef-f3ab2fc4336e
relation.isAuthorOfPublication.latestForDiscovery	64cabc69-0629-4d92-a8ef-f3ab2fc4336e