Abstract

Fractional Factorial Design (FFD) of the experiments combined with the response surface methodology was used to determine the optimum conditions for the production of biodiesel from Used Cooking Oil (UCO) in a batch reactor. Spent palm olein cooking oil was used as a raw material for biodiesel production as it is commonly used in most of the restaurants in Bahrain. The data indicate that the catalyst (NaOH) concentration and reaction temperature are the most influential factors, while the reaction time and molar ratio of methanol to oil (M:O) have only modest effects on the biodiesel yield. A 2nd order polynomial model was used to predict the biodiesel yield as a function of the catalyst amount and temperature. For the production of alkyl esters, the optimum conditions are 50°C, 0.30 wt % of NaOH catalyst, 1h reaction time and 9:1 feed molar ratio. These optimum values agree well with the literature values. At these optimum values, the alkyl esters content is 89.3 vol%, which is in good agreement with the predicted biodiesel yield (~ 91% by volume). Also, the biodiesel produced was characterized based on the flashpoint, viscosity, density, pH, percentage conversion of oil and yield.

Highlights

  • A fuel like a biodiesel which is mainly derived from animal fats and vegetable oils

  • Namely the reaction temperature, M:O molar ratio, NaOH amount and reaction time were selected to be optimized for biodiesel production

  • The experiments were based on a 24-1 Fractional Factorial Design (FFD) with resolution IV implemented using MINITAB statistical software

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Summary

Introduction

A fuel like a biodiesel which is mainly derived from animal fats and vegetable oils. It is composed of long chain fatty acids e.g., mono-alkyl esters (Ma and Hanna, 1999; Mamun et al, 2013). As compared to conventionally available petrodiesel, biodiesel has less sulfur, c.a. 10-11 wt% of oxygen, high value of cetane number and negligible amount of aromatics (Canakci and Gerpen, 2001). Based on these properties, biodiesel seems to be a good candidate in reducing the particulate matter, the emission of CO2 and other greenhouse gases into the environment

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