CER - Central Repository
Institute of Chemistry, Technology and Metallurgy
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   CER
  • IHTM
  • Radovi istraživača / Researchers' publications
  • View Item
  •   CER
  • IHTM
  • Radovi istraživača / Researchers' publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Modeling and optimization of sunflower oil methanolysis over quicklime bits in a packed bed tubular reactor using the response surface methodology

Authorized Users Only
2016
Authors
Miladinović, Marija R.
Stamenković, Olivera
Banković, Predrag
Milutinović Nikolić, Aleksandra
Jovanović, Dušan M.
Veljković, Vlada B.
Article (Published version)
Metadata
Show full item record
Abstract
The effect of the residence time (i.e. liquid flow rate through the reactor), methanol-to-oil molar ratio and reaction temperature on the fatty acid methyl esters (FAMEs) content at the output of a continuous packed bed tubular reactor was modeled by the response surface methodology (RSM) combined with the 3(3) full factorial design (FFD) with replication or the Box-Behnken design (BBD) with five center points. The methanolysis of sunflower oil was carried out at the residence time of 1.0, 1.5 and 2.0 h, the methanol-to-oil molar ratios of 6:1, 12:1 and 18:1 and the reaction temperature of 40, 50 and 60 degrees C under the atmospheric pressure. Based on the used experimental designs, the model equations containing only linear and two-factor interaction terms were developed for predicting the FAME content, which were validated through the use of the unseen data. Applying the analysis of variance (ANOVA), all three factors were shown to have a significant influence on the FAME content. A...cceptable statistical predictability and accuracy resulted from both designs since the values of the coefficient of determination were close to unity while the values of the mean relative percentage deviation were relatively low ( LT +/- 10%). In addition, both designs predicted the maximum FAME content of above 99%, which agreed closely with the actual FAME content (98.8%). The same optimal reaction temperature (60 degrees C) and residence time (2.0 h) were determined by both designs while the BBD model suggested a slightly lower methanol-to oil molar ratio (12.2:1) than the 3(3) FFD model (12.8:1). Since the BBD realization involved three times smaller number of experimental runs, thus requiring lower costs, less labor and shorter time than the 33 FFD, it could be recommended for the optimization of biodiesel production processes.

Keywords:
Biodiesel / Box-Behnken design / Full factorial design / Methanolysis / Optimization / Response surface methodology
Source:
Energy Conversion and Management, 2016, 130, 25-33
Publisher:
  • Oxford : Pergamon-Elsevier Science Ltd
Funding / projects:
  • Nanostructured Functional and Composite Materials in Catalytic and Sorption Processes (RS-45001)

DOI: 10.1016/j.enconman.2016.10.020

ISSN: 0196-8904

WoS: 000389109500003

Scopus: 2-s2.0-84992521964
[ Google Scholar ]
29
24
URI
https://cer.ihtm.bg.ac.rs/handle/123456789/1949
Collections
  • Radovi istraživača / Researchers' publications
Institution/Community
IHTM
TY  - JOUR
AU  - Miladinović, Marija R.
AU  - Stamenković, Olivera
AU  - Banković, Predrag
AU  - Milutinović Nikolić, Aleksandra
AU  - Jovanović, Dušan M.
AU  - Veljković, Vlada B.
PY  - 2016
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/1949
AB  - The effect of the residence time (i.e. liquid flow rate through the reactor), methanol-to-oil molar ratio and reaction temperature on the fatty acid methyl esters (FAMEs) content at the output of a continuous packed bed tubular reactor was modeled by the response surface methodology (RSM) combined with the 3(3) full factorial design (FFD) with replication or the Box-Behnken design (BBD) with five center points. The methanolysis of sunflower oil was carried out at the residence time of 1.0, 1.5 and 2.0 h, the methanol-to-oil molar ratios of 6:1, 12:1 and 18:1 and the reaction temperature of 40, 50 and 60 degrees C under the atmospheric pressure. Based on the used experimental designs, the model equations containing only linear and two-factor interaction terms were developed for predicting the FAME content, which were validated through the use of the unseen data. Applying the analysis of variance (ANOVA), all three factors were shown to have a significant influence on the FAME content. Acceptable statistical predictability and accuracy resulted from both designs since the values of the coefficient of determination were close to unity while the values of the mean relative percentage deviation were relatively low ( LT +/- 10%). In addition, both designs predicted the maximum FAME content of above 99%, which agreed closely with the actual FAME content (98.8%). The same optimal reaction temperature (60 degrees C) and residence time (2.0 h) were determined by both designs while the BBD model suggested a slightly lower methanol-to oil molar ratio (12.2:1) than the 3(3) FFD model (12.8:1). Since the BBD realization involved three times smaller number of experimental runs, thus requiring lower costs, less labor and shorter time than the 33 FFD, it could be recommended for the optimization of biodiesel production processes.
PB  - Oxford : Pergamon-Elsevier Science Ltd
T2  - Energy Conversion and Management
T1  - Modeling and optimization of sunflower oil methanolysis over quicklime bits in a packed bed tubular reactor using the response surface methodology
VL  - 130
SP  - 25
EP  - 33
DO  - 10.1016/j.enconman.2016.10.020
ER  - 
@article{
author = "Miladinović, Marija R. and Stamenković, Olivera and Banković, Predrag and Milutinović Nikolić, Aleksandra and Jovanović, Dušan M. and Veljković, Vlada B.",
year = "2016",
abstract = "The effect of the residence time (i.e. liquid flow rate through the reactor), methanol-to-oil molar ratio and reaction temperature on the fatty acid methyl esters (FAMEs) content at the output of a continuous packed bed tubular reactor was modeled by the response surface methodology (RSM) combined with the 3(3) full factorial design (FFD) with replication or the Box-Behnken design (BBD) with five center points. The methanolysis of sunflower oil was carried out at the residence time of 1.0, 1.5 and 2.0 h, the methanol-to-oil molar ratios of 6:1, 12:1 and 18:1 and the reaction temperature of 40, 50 and 60 degrees C under the atmospheric pressure. Based on the used experimental designs, the model equations containing only linear and two-factor interaction terms were developed for predicting the FAME content, which were validated through the use of the unseen data. Applying the analysis of variance (ANOVA), all three factors were shown to have a significant influence on the FAME content. Acceptable statistical predictability and accuracy resulted from both designs since the values of the coefficient of determination were close to unity while the values of the mean relative percentage deviation were relatively low ( LT +/- 10%). In addition, both designs predicted the maximum FAME content of above 99%, which agreed closely with the actual FAME content (98.8%). The same optimal reaction temperature (60 degrees C) and residence time (2.0 h) were determined by both designs while the BBD model suggested a slightly lower methanol-to oil molar ratio (12.2:1) than the 3(3) FFD model (12.8:1). Since the BBD realization involved three times smaller number of experimental runs, thus requiring lower costs, less labor and shorter time than the 33 FFD, it could be recommended for the optimization of biodiesel production processes.",
publisher = "Oxford : Pergamon-Elsevier Science Ltd",
journal = "Energy Conversion and Management",
title = "Modeling and optimization of sunflower oil methanolysis over quicklime bits in a packed bed tubular reactor using the response surface methodology",
volume = "130",
pages = "25-33",
doi = "10.1016/j.enconman.2016.10.020"
}
Miladinović, M. R., Stamenković, O., Banković, P., Milutinović Nikolić, A., Jovanović, D. M.,& Veljković, V. B.. (2016). Modeling and optimization of sunflower oil methanolysis over quicklime bits in a packed bed tubular reactor using the response surface methodology. in Energy Conversion and Management
Oxford : Pergamon-Elsevier Science Ltd., 130, 25-33.
https://doi.org/10.1016/j.enconman.2016.10.020
Miladinović MR, Stamenković O, Banković P, Milutinović Nikolić A, Jovanović DM, Veljković VB. Modeling and optimization of sunflower oil methanolysis over quicklime bits in a packed bed tubular reactor using the response surface methodology. in Energy Conversion and Management. 2016;130:25-33.
doi:10.1016/j.enconman.2016.10.020 .
Miladinović, Marija R., Stamenković, Olivera, Banković, Predrag, Milutinović Nikolić, Aleksandra, Jovanović, Dušan M., Veljković, Vlada B., "Modeling and optimization of sunflower oil methanolysis over quicklime bits in a packed bed tubular reactor using the response surface methodology" in Energy Conversion and Management, 130 (2016):25-33,
https://doi.org/10.1016/j.enconman.2016.10.020 . .

DSpace software copyright © 2002-2015  DuraSpace
About CeR – Central Repository | Send Feedback

re3dataOpenAIRERCUB
 

 

All of DSpaceInstitutions/communitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About CeR – Central Repository | Send Feedback

re3dataOpenAIRERCUB