Optimization of Process Parameters for Biodiesel Production Using Response Surface Methodology

Abstract

Abstract:The effect of five process parameters namely: reaction time, reaction temperature, stir speed, catalyst concentration and methanol-oil ratio on the transesterification process of waste frying oil to biodiesel were investigated. Optimization of the five process parameters and their quadratic cross effect was carried out using a four level-five factor central composite experimental design model and response surface methodology with each factor varied over four levels. Taking the biodiesel yield as the response of the designed experiment, the data obtained were statistically analysed to get a suitable model for optimization of biodiesel yield as a function of the five independent process parameters. The optimization produced 30 feasible solutions whose desirability equals to 1 and the selected (most desirable) condition was found to be: reaction time (3 hrs), reaction temperature (58°C), stir speed (305.5 rpm), catalyst concentration (1.4 wt%) and methanol to oil ratio (6:1), while the optimum yield of biodiesel for this condition was found to be 91.6%. The developed model was tested and validated for adequacy by substituting random experimental values as input parameters and the output parameters from the developed model were close to the experimental values. The biodiesel properties were characterized and the results obtained were found to satisfy the standard for both the ASTM D 6751 and EN 14214.

Synthesis of Fatty Acid Methyl Ester from Croton macrostachyus (Bisana) Kernel Oil: Parameter Optimization, Engine Performance, and Emission Characteristics for Croton macrostachyus Kernel Oil Fatty Acid Methyl Ester Blend with Mineral Diesel Fuel

“…The effects of the methanol to oil molar ratio and catalyst loading on the CMKO-FAME yield while keeping the reaction time constant are shown in Figure B. As the reaction between reactant methanol and triglycerides of CMKO is reversible in nature, the molar ratio and catalyst loading are important to increase the reaction rate. ,, The two-dimensional (2-D) plots were also employed to explain the interaction between the other two variables. Based on the analysis of variance (ANOVA), the transesterification reaction was significantly affected by various interactions between the process variables (Table ).…”

“…From Figure B–D, it can be observed that the process variables have significant interaction effects on CMKO-FAME yield. The effect of both the process variables (reaction time and molar ratio) had a positive effect on the CMKO-FAME yield up to the optimal point, after which a further increase in the methanol or catalyst concentration did not increase the CMKO-FAME yield but rather caused a marginal decrease in the CMKO-FAME yield, resulting in the formation of soap and an increase in the cost of the postreaction steps. , The surface and contour plots show the relationships between the variables during their interaction. Each contour curve presents the effect of two variables on the CMKO-FAME yield, holding the third variable at a constant level.…”

Modelling and Optimization of the Cutting Forces During Ti6al4v Milling Process Using the Response Surface Methodology and Dynamometer

“…The design of the numerical experiment was carried out using the Response Surface Methodology (RSM) and the Central Composite Design (CCD) in order to determine the feasible combinations of process parameters and the significance of each as well as effects of their interactions on the cutting force. The RSM is a mathematical and statistical technique usually employed for numerical modelling of numerical experiments in order to determine the optimum process condition and the influence of process parameters on the output response and to determine the optimum condition [Bello et al, 2016]. The ranges of the process parameters are cutting speed (250-280 mm/min), feed per tooth (0.06-0.24 mm) and axial depth of cut (0.30-3.0 mm) are varied over four levels while cutting force serves as the response of the designed experiment.…”

Optimization of parameters for the production of biodiesel from rubber seed oil using onsite lipase by response surface methodology

“…This indicates the effectiveness of the lipase enzyme being utilized in the minimum amount. Previous studies reported that the yield was improved as the amount of enzyme was increased in the reaction system (Silitonga et al 2016;Bello et al 2016;Al-Zuhair 2005).…”