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 recordAbstract
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 methodologySource:
Energy Conversion and Management, 2016, 130, 25-33Publisher:
- Oxford : Pergamon-Elsevier Science Ltd
Funding / projects:
DOI: 10.1016/j.enconman.2016.10.020
ISSN: 0196-8904
WoS: 000389109500003
Scopus: 2-s2.0-84992521964
Collections
Institution/Community
IHTMTY - 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 . .