Fuzzy modeling and parameters optimization for the enhancement of biodiesel production from waste frying oil over montmorillonite clay K-30

Abrar Inayat, Ahmed M. Nassef, Hegazy Rezk, Enas T. Sayed, Mohammad A. Abdelkareem, A.g. Olabi

Research output: Contribution to journalArticle

Abstract

Transesterification is a promising technology for the biodiesel production to provide an alternative fuel that considers the environmental concerns. From the economic and environmental protection points of view, utilization of waste frying oil for the production of biodiesel addresses very beneficial impacts. Production of higher yield of biodiesel is a challenging process in order to commercialize it with a lower cost. The current study focuses on the influence of different parameters such as reaction temperature (°C), reaction period (min), oil to methanol ratio and amount of catalyst (wt%) on the production of biodiesel. The main objective of this work is to develop a model via fuzzy logic approach in order to maximize the biodiesel produced from waste frying oil using montmorillonite Clay K-30 as a catalyst. The optimization for the operating parameters has been performed via particle swarm optimization (PSO) approach. During the optimization process, the decision variables were represented by four different operating parameters: temperature (40–140 °C), reaction period (60–300 min), oil/methanol ratio (1:6–1:18) and amount of catalyst (1–5 wt%). The model has been validated with the experimental data and compared with the optimal results reported based on other optimization techniques. Results showed the increment of biodiesel production by 15% using the proposed strategy compared to the earlier study. The obtained biodiesel production yield reached 93.70% with the optimal parameters for a temperature at 69.66 °C, a reaction period of 300 min, oil/methanol ratio of 1:9 and an amount of catalyst of 5 wt%.
LanguageEnglish
Pages821-827
Number of pages7
JournalScience of the Total Environment
Volume666
Early online date21 Feb 2019
DOIs
Publication statusPublished - 20 May 2019

Fingerprint

Bentonite
Biofuels
Biodiesel
Clay minerals
montmorillonite
Oils
Clay
catalyst
methanol
clay
modeling
oil
Methanol
Catalysts
alternative fuel
temperature
fuzzy mathematics
environmental protection
Alternative fuels
Transesterification

Bibliographical note

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Biodiesel
  • Clay-based catalyst
  • Fuzzy logic
  • Optimization
  • Waste frying oil

Cite this

Inayat, Abrar ; Nassef, Ahmed M. ; Rezk, Hegazy ; Sayed, Enas T. ; Abdelkareem, Mohammad A. ; Olabi, A.g. / Fuzzy modeling and parameters optimization for the enhancement of biodiesel production from waste frying oil over montmorillonite clay K-30. In: Science of the Total Environment. 2019 ; Vol. 666. pp. 821-827.
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abstract = "Transesterification is a promising technology for the biodiesel production to provide an alternative fuel that considers the environmental concerns. From the economic and environmental protection points of view, utilization of waste frying oil for the production of biodiesel addresses very beneficial impacts. Production of higher yield of biodiesel is a challenging process in order to commercialize it with a lower cost. The current study focuses on the influence of different parameters such as reaction temperature (°C), reaction period (min), oil to methanol ratio and amount of catalyst (wt{\%}) on the production of biodiesel. The main objective of this work is to develop a model via fuzzy logic approach in order to maximize the biodiesel produced from waste frying oil using montmorillonite Clay K-30 as a catalyst. The optimization for the operating parameters has been performed via particle swarm optimization (PSO) approach. During the optimization process, the decision variables were represented by four different operating parameters: temperature (40–140 °C), reaction period (60–300 min), oil/methanol ratio (1:6–1:18) and amount of catalyst (1–5 wt{\%}). The model has been validated with the experimental data and compared with the optimal results reported based on other optimization techniques. Results showed the increment of biodiesel production by 15{\%} using the proposed strategy compared to the earlier study. The obtained biodiesel production yield reached 93.70{\%} with the optimal parameters for a temperature at 69.66 °C, a reaction period of 300 min, oil/methanol ratio of 1:9 and an amount of catalyst of 5 wt{\%}.",
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Fuzzy modeling and parameters optimization for the enhancement of biodiesel production from waste frying oil over montmorillonite clay K-30. / Inayat, Abrar; Nassef, Ahmed M.; Rezk, Hegazy; Sayed, Enas T.; Abdelkareem, Mohammad A.; Olabi, A.g.

In: Science of the Total Environment, Vol. 666, 20.05.2019, p. 821-827.

Research output: Contribution to journalArticle

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T1 - Fuzzy modeling and parameters optimization for the enhancement of biodiesel production from waste frying oil over montmorillonite clay K-30

AU - Inayat, Abrar

AU - Nassef, Ahmed M.

AU - Rezk, Hegazy

AU - Sayed, Enas T.

AU - Abdelkareem, Mohammad A.

AU - Olabi, A.g.

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N2 - Transesterification is a promising technology for the biodiesel production to provide an alternative fuel that considers the environmental concerns. From the economic and environmental protection points of view, utilization of waste frying oil for the production of biodiesel addresses very beneficial impacts. Production of higher yield of biodiesel is a challenging process in order to commercialize it with a lower cost. The current study focuses on the influence of different parameters such as reaction temperature (°C), reaction period (min), oil to methanol ratio and amount of catalyst (wt%) on the production of biodiesel. The main objective of this work is to develop a model via fuzzy logic approach in order to maximize the biodiesel produced from waste frying oil using montmorillonite Clay K-30 as a catalyst. The optimization for the operating parameters has been performed via particle swarm optimization (PSO) approach. During the optimization process, the decision variables were represented by four different operating parameters: temperature (40–140 °C), reaction period (60–300 min), oil/methanol ratio (1:6–1:18) and amount of catalyst (1–5 wt%). The model has been validated with the experimental data and compared with the optimal results reported based on other optimization techniques. Results showed the increment of biodiesel production by 15% using the proposed strategy compared to the earlier study. The obtained biodiesel production yield reached 93.70% with the optimal parameters for a temperature at 69.66 °C, a reaction period of 300 min, oil/methanol ratio of 1:9 and an amount of catalyst of 5 wt%.

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KW - Biodiesel

KW - Clay-based catalyst

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KW - Optimization

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