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Optimization of melon oil methyl ester production using response surface methodology

O. S. Aliozo
  • Department of Chemical Engineering, Faculty of Engineering, Nnamdi Azikiwe University, NAU, P.M.B 5025, Awka, Anambra State, Nigeria
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  • Other articles by this author:
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/ L. N. Emembolu
  • Department of Chemical Engineering, Faculty of Engineering, Nnamdi Azikiwe University, NAU, P.M.B 5025, Awka, Anambra State, Nigeria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ O. D. Onukwuli
  • Department of Chemical Engineering, Faculty of Engineering, Nnamdi Azikiwe University, NAU, P.M.B 5025, Awka, Anambra State, Nigeria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2017-11-24 | DOI: https://doi.org/10.1515/bfuel-2017-0001

Abstract

In this research work, melon oil was used as feedstock for methyl ester production. The research was aimed at optimizing the reaction conditions for methyl ester yield from the oil. Response surface methodology (RSM), based on a five level, four variable central composite designs (CCD)was used to optimize and statistically analyze the interaction effect of the process parameter during the biodiesel production processes. A total of 30 experiments were conducted to study the effect of methanol to oil molar ratio, catalyst weight, temperature and reaction time. The optimal yield of biodiesel from melon oil was found to be 94.9% under the following reaction conditions: catalyst weight - 0.8%, methanol to oil molar ratio - 6:1, temperature - 55°C and reaction time of 60mins. The quality of methyl ester produced at these conditions was within the American Society for Testing and Materials (ASTM D6751) specification.

Keywords: Melon seed oil; transesterification; methanol to oil molar ratio; catalyst weight; temperature; reaction time; Central Composite Design

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About the article

Received: 2016-01-05

Accepted: 2017-02-16

Published Online: 2017-11-24


Citation Information: Biofuels Engineering, Volume 2, Issue 1, Pages 1–10, ISSN (Online) 2084-7181, DOI: https://doi.org/10.1515/bfuel-2017-0001.

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© 2017. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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