Optimization of ultrasonic-assisted heterogeneous biodiesel production from palm oil: A response surface methodology approach

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Abstract

The use of ultrasonic processor in the heterogeneous transesterification of palm oil for biodiesel production has been investigated. Response surface methodology was employed to statistically evaluate and optimize the biodiesel production process catalyzed by two alkaline earth metal oxide catalysts i.e. BaO and SrO. SEM, surface analysis, AAS analysis and the Hammett indicator methods were used for characterization of the catalysts. Four different variables including reaction time (10–60 min), alcohol to oil molar ratio (3:1–15:1), catalyst loading (0.5–3.0 wt.%) and ultrasonic amplitude (25–100%) were optimized. Mathematical models were developed and used to predict the behavior of the process. The models were able to accurately predict the biodiesel yield with less than 5% error for both catalysts. The basic strength of the catalysts was the main reason of their high activities. This study confirmed that the ultrasonic significantly improved the process by reducing the reaction time to less than 50 min and the catalyst loading to 2.8 wt.% to achieve biodiesel yields of above 95%. The optimum alcohol to oil ratio was found to be at 9:1 while the best amplitudes were ∼ 70 and ∼ 80% for the BaO and SrO catalysts, respectively.

Introduction

Recently, particular focus is been given on global warming and exhaustion of non-renewable resources. These problems are primarily attributed to the heavy consumption of fossil fuels. Much attention has been given to biomass resources as alternatives for energy sources. The typical biodiesel fuel is produced by the transesterification of vegetable oils with low alcohol in the presence of homogeneous base-catalyst such as KOH or NaOH [1]. Transesterification can occur in the absence of a catalyst, but it can be effectively intensified by the use of suitable catalyst [2]. However, for the satisfactory use of the product as diesel fuel, the catalyst must be removed from the product mixture and this requires cumbersome purification processes while huge amount of wastewater is generated at the same time [3].

Heterogeneous catalytic process is expected to be future biodiesel production process. This process lowers the cost and minimizes the environmental impacts due to the simpler production steps and purification processes which are normally carried out under very mild conditions. The heterogeneous catalysts capable to be used are such as, titanium-silicates [4], alkaline earth metal compounds and hydroxides [4], [5], [6], and alkali metal hydroxides or salts supported on γ-alumina [7], [8], [9] or zeolites [10]. The common problem associated with the heterogeneous biodiesel production process is its low reaction rate due to poor interaction between the oil and alcohol during the reaction due to their mutual immiscibility [4], [5].

The demand for biodiesel in the world is sharply increasing. Thus, increasing the production rate for biodiesel in order to meet the demand seems to be essential. Therefore, new accelerating technologies are of great interest among researchers in this area. Ultrasonic radiations can accelerate the biodiesel production rate with homogenous catalyst [1], [11]. Hanh et al. [2] found that the methanolysis of oil in aqueous catalyst solutions (e.g. NaOH, KOH) can be accelerated by low frequency ultrasound which led to the intensification of the overall process. Reports on the beneficial use of ultrasound for homogeneous catalytic process for biodiesel production are also published very recently [1], [2], [12]. Despite widely investigated for accelerating homogeneous reaction systems, heterogeneous biodiesel production process has never been intensified using ultrasonic energy. The benefit offered to the homogeneous process is theoretically possible in the case of heterogeneous process in a similar manner. However, report on the use of ultrasonic-assisted heterogeneous process for the production of this renewable fuel is still hardly found in the literature.

Fig. 1 shows the five step reaction mechanism generally proposed for the role of metal oxide catalyst in the transesterification reaction. Steps 1 and 2 describe the adsorption of alcohol and fatty acid on two neighboring free catalytic sites, respectively. In step 3, the two adsorbed groups react to form a surface intermediates. These surface intermediates will further decompose in step 4 and finally desorb (step 5). According to Hattori et al. [13], the rate-determining step of this mechanism with catalysts having a higher basicity, such as BaO and SrO, is the surface reaction step. Forward reaction promotes the formation of esters to result in high biodiesel yield. In this respect, higher alcohol ratios are preferred but too high could dilute the reactants leading to lower reaction rate [11].

The main objective of this study was to elucidate the effects of ultrasonic irradiation on production conditions of palm oil transesterification with methanol using heterogeneous catalysts. In this study, BaO and SrO catalysts were used as they have been reported to be successful for this reaction by few researchers [5], [6].The experimental data obtained were used for the optimization of the process conditions by means of response surface methodology (RSM) under a historical design. RSM is an effective statistical technique for optimizing multifactor experiments, building models, evaluating the effects of several factors for desirable responses. The eventual objective of RSM is to determine the optimum operating conditions for the system, or to determine the region which satisfies the operating specifications [14].

Analysis of variance (ANOVA) provides the statistical results and diagnostic checking tests which enable researchers to evaluate adequacy of the models [15]. Historical design is generally used to fit the experimental data when data are available without the need for prior experimental design. In this study, the data obtained from the experimental work by varying one factor at a time were fitted to the historical design and overall trend was to be characterized while the accuracy of the models developed were simultaneously evaluated. It is of great interest to demonstrate the overall behavior of the ultrasonic-assisted process as the ultrasonic could affect the overall course of reaction leading to specific catalytic behaviors. However, thorough discussion on the catalyst reutilization is deemed beyond the specific scopes of the present work and is not discussed in detail in this manuscript.

Section snippets

Materials and chemicals

Commercial cooking palm oil (Vesawit, Malaysia) was purchased from a local market and used without any further purification. Methanol used for the transesterification process was supplied by Thermo Fisher Scientific Inc. (USA), while, n-hexane was purchased from Merck (Germany). Reference standards, such as methyl myristate, methyl palmitate, methyl oleate, methyl stearate and methyl linoleate were obtained from NuChek Prep. Inc., Australia. All the chemicals used were of analytical grade.

Catalyst preparation

The

Experimental design and analysis of variance (ANOVA)

The results for each experimental run for BaO and SrO catalysts are shown in Table 2. A quadratic regression model was developed using coded values from the estimation of data. The model was modified based on the insignificancy of some model terms. The model equations based on coded values for the biodiesel yield using BaO and SrO catalysts under ultrasonic conditions are represented by Eqs. (2), (3), respectively. The significance of each coefficient in Eqs. (2), (3) was determined by Student t

Conclusion

This study proved the effectiveness of ultrasonic irradiation in improving the transesterification process towards biodiesel production. The optimization of the process for BaO and SrO catalysts using ultrasonic energy was successfully conducted by fitting the experimental data into a historical design and a response surface methodology was then performed. Two mathematical models were developed by the software and they were able to accurately predict the biodiesel yield at any point in the

Acknowledgements

The authors gratefully acknowledge Felda Research Grant from Felda Foundation and Research University (RU) Grant from the Universiti Sains Malaysia to support their biodiesel research works.

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