Optimization of transesterification of animal fat ester using response surface methodology

Area of Science:

• Chemical Engineering
• Renewable Energy Sources

Background:

• Biodiesel production from animal fats like lard is crucial for sustainable energy.
• Optimizing reaction parameters is key to maximizing yield and efficiency.

Purpose of the Study:

• To optimize biodiesel production from lard using response surface methodology.
• To determine the ideal reaction conditions for maximizing lard biodiesel conversion yield.

Main Methods:

• Response surface methodology (RSM) was employed to assess the effects of three factors: reaction temperature, catalyst amount, and oil-to-methanol molar ratio.
• Twenty individual experiments were conducted to study the interactions between these factors.
• A statistical model was developed to predict the optimal conditions.

Main Results:

• The statistical model predicted a maximum conversion yield of 98.6% at 65°C, 1.26% catalyst, and a 7.5:1 oil-to-methanol ratio with a 20-minute reaction time.
• Experimental validation achieved an average yield of 97.8% ± 0.6%, closely matching the model's prediction.
• Biodiesel quality met relevant standards, except for the cold filter plugging point.

Conclusions:

• Optimized reaction conditions significantly enhance lard biodiesel production efficiency.
• Response surface methodology is effective for optimizing biodiesel synthesis parameters.
• Further refinement may be needed to meet all quality standards, particularly cold filter plugging point.