Process Optimization, Empirical Modeling and Characterization of Biodiesel from Cottonseed Oil

Umaru  Musa; Aboje Audu Alechenu; Ibrahim Aris  Mohammed; Aliyu Musa  Aliyu; Muhammad Munir Sadiq; Aminat Oladunni Olaibi

doi:10.1007/978-94-017-9804-4_51

Process Optimization, Empirical Modeling and Characterization of Biodiesel from Cottonseed Oil

Umaru Musa, Aboje Audu Alechenu, Ibrahim Aris Mohammed, Aliyu Musa Aliyu, Muhammad Munir Sadiq, Aminat Oladunni Olaibi

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

Abstract

The optimization of biodiesel production from a Typical Nigerian cottonseed oil using sodium hydroxide as catalyst is presented. 23 factorial design was employed to study the combined effect of temperature (40–60 °C), mole ratio of methanol to oil (6:1–8:1) and catalyst concentration (0.5–1.0 wt%). The optimum yield of 96.23 wt% was obtained at 0.5% w/v potassium hydroxide at a temperature of 40 °C and Molar ratio of 6:1 for 90 min. A Model equation that shows the relationship between biodiesel yield and process variables was developed using a statistical tool. Statistical Analysis of variance (ANOVA) of the data shows that molar ratio has the most pronounced positive effect on the biodiesel yield. The methyl ester was characterized and all the properties were consistent with the ASTM standard.

Original language	English
Title of host publication	Transactions on Engineering Technologies
Subtitle of host publication	World Congress on Engineering 2014
Editors	Gi-Chul Yang, Sio-Iong Ao, Len Gelman
Place of Publication	Dordrecht Netherlands
Publisher	Springer
Chapter	51
Pages	723-737
Number of pages	15
ISBN (Electronic)	9789401798044
ISBN (Print)	9789401798037
DOIs	https://doi.org/10.1007/978-94-017-9804-4_51
Publication status	Published - 2015
Externally published	Yes
Event	World Congress on Engineering 2014 - Imperial College London, London, United Kingdom Duration: 2 Jul 2014 → 4 Jul 2014 http://www.iaeng.org/WCE2014/

Conference

Conference	World Congress on Engineering 2014
Abbreviated title	WCE 2014
Country/Territory	United Kingdom
City	London
Period	2/07/14 → 4/07/14
Internet address	http://www.iaeng.org/WCE2014/

Access to Document

10.1007/978-94-017-9804-4_51

Cite this

Musa, U., Alechenu, A. A., Mohammed, I. A., Aliyu, A. M., Sadiq, M. M., & Olaibi, A. O. (2015). Process Optimization, Empirical Modeling and Characterization of Biodiesel from Cottonseed Oil. In G.-C. Yang, S.-I. Ao, & L. Gelman (Eds.), Transactions on Engineering Technologies: World Congress on Engineering 2014 (pp. 723-737). Springer. https://doi.org/10.1007/978-94-017-9804-4_51

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title = "Process Optimization, Empirical Modeling and Characterization of Biodiesel from Cottonseed Oil",

abstract = "The optimization of biodiesel production from a Typical Nigerian cottonseed oil using sodium hydroxide as catalyst is presented. 23 factorial design was employed to study the combined effect of temperature (40–60 °C), mole ratio of methanol to oil (6:1–8:1) and catalyst concentration (0.5–1.0 wt%). The optimum yield of 96.23 wt% was obtained at 0.5% w/v potassium hydroxide at a temperature of 40 °C and Molar ratio of 6:1 for 90 min. A Model equation that shows the relationship between biodiesel yield and process variables was developed using a statistical tool. Statistical Analysis of variance (ANOVA) of the data shows that molar ratio has the most pronounced positive effect on the biodiesel yield. The methyl ester was characterized and all the properties were consistent with the ASTM standard.",

author = "Umaru Musa and Alechenu, {Aboje Audu} and Mohammed, {Ibrahim Aris} and Aliyu, {Aliyu Musa} and Sadiq, {Muhammad Munir} and Olaibi, {Aminat Oladunni}",

year = "2015",

doi = "10.1007/978-94-017-9804-4_51",

language = "English",

isbn = "9789401798037",

pages = "723--737",

editor = "Gi-Chul Yang and Sio-Iong Ao and Len Gelman",

booktitle = "Transactions on Engineering Technologies",

publisher = "Springer",

note = "World Congress on Engineering 2014, WCE 2014 ; Conference date: 02-07-2014 Through 04-07-2014",

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Musa, U, Alechenu, AA, Mohammed, IA, Aliyu, AM, Sadiq, MM & Olaibi, AO 2015, Process Optimization, Empirical Modeling and Characterization of Biodiesel from Cottonseed Oil. in G-C Yang, S-I Ao & L Gelman (eds), Transactions on Engineering Technologies: World Congress on Engineering 2014. Springer, Dordrecht Netherlands, pp. 723-737, World Congress on Engineering 2014, London, United Kingdom, 2/07/14. https://doi.org/10.1007/978-94-017-9804-4_51

Process Optimization, Empirical Modeling and Characterization of Biodiesel from Cottonseed Oil. / Musa, Umaru ; Alechenu, Aboje Audu; Mohammed, Ibrahim Aris et al.
Transactions on Engineering Technologies: World Congress on Engineering 2014. ed. / Gi-Chul Yang; Sio-Iong Ao; Len Gelman. Dordrecht Netherlands: Springer, 2015. p. 723-737.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

TY - CHAP

T1 - Process Optimization, Empirical Modeling and Characterization of Biodiesel from Cottonseed Oil

AU - Musa, Umaru

AU - Alechenu, Aboje Audu

AU - Mohammed, Ibrahim Aris

AU - Aliyu, Aliyu Musa

AU - Sadiq, Muhammad Munir

AU - Olaibi, Aminat Oladunni

PY - 2015

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AB - The optimization of biodiesel production from a Typical Nigerian cottonseed oil using sodium hydroxide as catalyst is presented. 23 factorial design was employed to study the combined effect of temperature (40–60 °C), mole ratio of methanol to oil (6:1–8:1) and catalyst concentration (0.5–1.0 wt%). The optimum yield of 96.23 wt% was obtained at 0.5% w/v potassium hydroxide at a temperature of 40 °C and Molar ratio of 6:1 for 90 min. A Model equation that shows the relationship between biodiesel yield and process variables was developed using a statistical tool. Statistical Analysis of variance (ANOVA) of the data shows that molar ratio has the most pronounced positive effect on the biodiesel yield. The methyl ester was characterized and all the properties were consistent with the ASTM standard.

U2 - 10.1007/978-94-017-9804-4_51

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