• español
    • English
  • English 
    • español
    • English
  • Login
View Item 
  •   DSpace Home
  • Producción Científica
  • Artículos, capítulos, libros...UCO
  • View Item
  •   DSpace Home
  • Producción Científica
  • Artículos, capítulos, libros...UCO
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Cetane index prediction based on biodiesel distillation curve

Thumbnail
View/Open
1-s2.0-S0016236122009206-main.pdf (850.5Kb)
Author
Vera-Rozo, James R.
Sáez Bastante, Javier
Carmona Cabello, Miguel
Riesco-Avila, José M.
Avellaneda, Fredy
Pinzi, Sara
Dorado, M.P.
Publisher
Elsevier
Date
2022
Subject
Cetane number
Fatty acid methyl ester
Distillation temperature
Density
Modeling
METS:
Mostrar el registro METS
PREMIS:
Mostrar el registro PREMIS
Metadata
Show full item record
Abstract
Cetane number (CN) is one of the most important parameters affecting diesel fuel behavior. It is related to the time that elapses between fuel injection and beginning of combustion. To determine it, a combustion standardized test, under ASTM D613 regulation, needs to be carried out. As this process is limiting, since it requires a specific engine, CN can be approximated from the distillation temperatures of diesel fuels, providing another dimensionless parameter, named calculated cetane index (CCI). It also provides an approach to the explosion delay. ASTM D4737 standard is the regulation that allows its calculation. It is based on a four-term equation that may be applied to oil-derived products. Chemical composition of diesel fuel is composed exclusively of hydrocarbons of different nature. However, biodiesel is mainly composed of alkyl esters and, to a lesser extent, glycerides and glycerol impurities. This difference makes convenient to adapt the equation to biodiesel distillation curve. The aim of this work is to provide an alternative to CN calculation for biodiesel, based on CCI prediction. This manuscript presents distillation curves and density values of 14 different biodiesel types, from both animal and vegetable origin. This data, together with data from literature, have been used with non-linear equation modeling techniques. As a result, a modification of ASTM D4737 regulation with experimental data from biodiesel sources has been proposed. The proposed equation exhibits an error with respect to experimental data below 3.5% for most evaluated cases. Subsequently, it may be concluded that the proposed methodology may be applied to accurately calculate biodiesel CCI, as a substitute of CN.
URI
http://hdl.handle.net/10396/29690
Fuente
Vera-Rozo, J. R., Sáez-Bastante, J., Carmona-Cabello, M., Riesco-Ávila, J. M., Avellaneda, F., Pinzi, S., & Dorado, M. (2022). Cetane index prediction based on biodiesel distillation curve. Fuel, 321, 124063.
Versión del Editor
https://doi.org/10.1016/j.fuel.2022.124063
Collections
  • DIE-Artículos, capítulos, libros...
  • DQFTA-Artículos, capítulos, libros...
  • Artículos, capítulos, libros...UCO

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
© Biblioteca Universidad de Córdoba
Biblioteca  UCODigital
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

De Interés

Archivo Delegado/AutoarchivoAyudaPolíticas de Helvia

Compartir


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
© Biblioteca Universidad de Córdoba
Biblioteca  UCODigital