Modelling, optimization and green metrics evaluation of bio-catalytic synthesis of biodiesel
Other Title(s)
النمذجة و التحسين و تقييم المقاييس الخضراء للتركيب الحفاز الحيوي لوقود الديزل الحيوي
Joint Authors
Rashid, Owolabi U.
Anuoluwapo, Adefunmilayo D.
Oguamanam, Onyekachi P.
Uthman, Muhammad A.
Source
Tikrit Journal of Engineering Sciences
Issue
Vol. 27, Issue 3 (30 Sep. 2020), pp.17-30, 14 p.
Publisher
Tikrit University Colleg of Engineering
Publication Date
2020-09-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
- Methodology
- Variance analysis
- Mathematical models
- Fuels
- Feeds
- Castor oil
- Diesel
- Biodiesel fuels
- Response surfaces(Statistics)
Abstract EN
The response surface methodology (RSM) was adopted in ths study to evaluate theinfluence, interplay and interaction of various process variables on the biodieselyield using methanol and castor oil as feedstocks in the presence of bovine bonesas bio-catalyst.
Twenty experimental runs were designed using central compositedesign (CCD).
RSM statistical model of second order was developed.
Analysis ofvariance (ANOVA) tests were performed on the model to find the relative influenceof the process variables.
An optimum yield of 95.12% was obtained at 60 0Creaction temperature, 120 minutes reaction time, molar to oil ratio 6: 1, catalystconcentration of 10 % w and a stirring rate of 900 rpm.
The experimentalconditions under which biodiesel was synthesized in this study was compared withthose of previous studies.
It can therefore be inferred that, the conditions hereinis competing with prior established conditions.
The biodiesel was found to possessfuel properties that fall within acceptable limits and green metrics estimatedshowed compliance of the process with the diictates of green and was adopted in ths study to evaluate theinfluence, interplay and interaction of various process variables on the biodieselyield using methanol and castor oil as feedstocks in the presence of bovine bonesas bio-catalyst.
Twenty experimental runs were designed using central compositedesign (CCD).
RSM statistical model of second order was developed.
Analysis ofvariance (ANOVA) tests were performed on the model to find the relative influenceof the process variables.
An optimum yield of 95.12% was obtained at 60 0Creaction temperature, 120 minutes reaction time, molar to oil ratio 6: 1, catalystconcentration of 10 % w and a stirring rate of 900 rpm.
The experimentalconditions under which biodiesel was synthesized in this study was compared withthose of previous studies.
It can therefore be inferred that, the conditions hereinis competing with prior established conditions.
The biodiesel was found to possessfuel properties that fall within acceptable limits and green metrics estimatedshowed compliance of the process with the diictates of green and sustainablechemistry.
American Psychological Association (APA)
Rashid, Owolabi U.& Anuoluwapo, Adefunmilayo D.& Oguamanam, Onyekachi P.& Uthman, Muhammad A.. 2020. Modelling, optimization and green metrics evaluation of bio-catalytic synthesis of biodiesel. Tikrit Journal of Engineering Sciences،Vol. 27, no. 3, pp.17-30.
https://search.emarefa.net/detail/BIM-1260598
Modern Language Association (MLA)
Uthman, Muhammad A.…[et al.]. Modelling, optimization and green metrics evaluation of bio-catalytic synthesis of biodiesel. Tikrit Journal of Engineering Sciences Vol. 27, no. 3 (2020), pp.17-30.
https://search.emarefa.net/detail/BIM-1260598
American Medical Association (AMA)
Rashid, Owolabi U.& Anuoluwapo, Adefunmilayo D.& Oguamanam, Onyekachi P.& Uthman, Muhammad A.. Modelling, optimization and green metrics evaluation of bio-catalytic synthesis of biodiesel. Tikrit Journal of Engineering Sciences. 2020. Vol. 27, no. 3, pp.17-30.
https://search.emarefa.net/detail/BIM-1260598
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1260598