Transesterification of waste cooking oil by heteropoly acid (HPA) catalyst: Optimization and kinetic model

Amin Talebian-Kiakalaieh; Nor Aishah Saidina Amin; Alireza Zarei; Iman Noshadi

doi:10.1016/j.apenergy.2012.07.018

Transesterification of waste cooking oil by heteropoly acid (HPA) catalyst: Optimization and kinetic model

Amin Talebian-Kiakalaieh
, Nor Aishah Saidina Amin^*
, Alireza Zarei
, Iman Noshadi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

177 Scopus citations

Abstract

Transesterification of waste cooking oil with heterogeneous (heteropoly acid) catalyst and methanol has been investigated. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to study the relationship between process variables and free fatty acid conversion and for predicting the optimal parameters. The highest conversion was 88.6% at optimum condition being 14h, 65°C, 70:1 and 10wt% for reaction time, reaction temperature, methanol to oil molar ratio and catalyst loading, respectively. The RSM and ANN could accurately predict the experimental results, with R²=0.9987 and R²=0.985, respectively. Kinetics studies were investigated to describe the system. The reaction followed first-order kinetics with the calculated activation energy, Ea=53.99kJ/mol while the pre-exponential factor, A=2.9×10⁷min^-1. These findings can help improve an environmentally friendly biodiesel process that conforms to ASTM D6751 standards.

Original language	English
Pages (from-to)	283-292
Number of pages	10
Journal	Applied Energy
Volume	102
DOIs	https://doi.org/10.1016/j.apenergy.2012.07.018
State	Published - 2013
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Biodiesel
Heterogeneous
Kinetic
Optimization
Transesterification
Waste cooking oil

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Building and Construction
General Energy
Mechanical Engineering
Management, Monitoring, Policy and Law

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10.1016/j.apenergy.2012.07.018

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title = "Transesterification of waste cooking oil by heteropoly acid (HPA) catalyst: Optimization and kinetic model",

abstract = "Transesterification of waste cooking oil with heterogeneous (heteropoly acid) catalyst and methanol has been investigated. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to study the relationship between process variables and free fatty acid conversion and for predicting the optimal parameters. The highest conversion was 88.6\% at optimum condition being 14h, 65°C, 70:1 and 10wt\% for reaction time, reaction temperature, methanol to oil molar ratio and catalyst loading, respectively. The RSM and ANN could accurately predict the experimental results, with R2=0.9987 and R2=0.985, respectively. Kinetics studies were investigated to describe the system. The reaction followed first-order kinetics with the calculated activation energy, Ea=53.99kJ/mol while the pre-exponential factor, A=2.9×107min-1. These findings can help improve an environmentally friendly biodiesel process that conforms to ASTM D6751 standards.",

keywords = "Biodiesel, Heterogeneous, Kinetic, Optimization, Transesterification, Waste cooking oil",

author = "Amin Talebian-Kiakalaieh and Amin, \{Nor Aishah Saidina\} and Alireza Zarei and Iman Noshadi",

year = "2013",

doi = "10.1016/j.apenergy.2012.07.018",

language = "English",

volume = "102",

pages = "283--292",

journal = "Applied Energy",

issn = "0306-2619",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Transesterification of waste cooking oil by heteropoly acid (HPA) catalyst

T2 - Optimization and kinetic model

AU - Talebian-Kiakalaieh, Amin

AU - Amin, Nor Aishah Saidina

AU - Zarei, Alireza

AU - Noshadi, Iman

PY - 2013

Y1 - 2013

N2 - Transesterification of waste cooking oil with heterogeneous (heteropoly acid) catalyst and methanol has been investigated. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to study the relationship between process variables and free fatty acid conversion and for predicting the optimal parameters. The highest conversion was 88.6% at optimum condition being 14h, 65°C, 70:1 and 10wt% for reaction time, reaction temperature, methanol to oil molar ratio and catalyst loading, respectively. The RSM and ANN could accurately predict the experimental results, with R2=0.9987 and R2=0.985, respectively. Kinetics studies were investigated to describe the system. The reaction followed first-order kinetics with the calculated activation energy, Ea=53.99kJ/mol while the pre-exponential factor, A=2.9×107min-1. These findings can help improve an environmentally friendly biodiesel process that conforms to ASTM D6751 standards.

AB - Transesterification of waste cooking oil with heterogeneous (heteropoly acid) catalyst and methanol has been investigated. Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were employed to study the relationship between process variables and free fatty acid conversion and for predicting the optimal parameters. The highest conversion was 88.6% at optimum condition being 14h, 65°C, 70:1 and 10wt% for reaction time, reaction temperature, methanol to oil molar ratio and catalyst loading, respectively. The RSM and ANN could accurately predict the experimental results, with R2=0.9987 and R2=0.985, respectively. Kinetics studies were investigated to describe the system. The reaction followed first-order kinetics with the calculated activation energy, Ea=53.99kJ/mol while the pre-exponential factor, A=2.9×107min-1. These findings can help improve an environmentally friendly biodiesel process that conforms to ASTM D6751 standards.

KW - Biodiesel

KW - Heterogeneous

KW - Kinetic

KW - Optimization

KW - Transesterification

KW - Waste cooking oil

UR - https://www.scopus.com/pages/publications/84870754536

U2 - 10.1016/j.apenergy.2012.07.018

DO - 10.1016/j.apenergy.2012.07.018

M3 - Article

AN - SCOPUS:84870754536

SN - 0306-2619

VL - 102

SP - 283

EP - 292

JO - Applied Energy

JF - Applied Energy

ER -

Transesterification of waste cooking oil by heteropoly acid (HPA) catalyst: Optimization and kinetic model

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

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