Optimization of process parameter of biodiesel derived from hybrid blend of Karanja and chlorella vulgaris oil

Abstract

Renewable and sustainable energy resources have been widely used to reduce environmental pollution and accommodate world energy consumption. Biodiesel is an environmentally friendly biofuel that can be made from non-edible and algae oil. Response surface approach and Artificial neuron network modal is used to predict and optimize the biodiesel yield. Karanja and C. vulgaris oil are mixed at 75 to 25% volumetric ratio to lower the free fatty acid content. Process parameters of biodiesel production from hybrid oil of Karanja and C. vulgaris oil were optimized by employing a single-step transesterification process. It was found that a maximum 97.55% biodiesel yield is obtained at 1.09% (w/w) catalyst amount, 91.47 minutes reaction time, 56.86 °C reaction temperature, and 8.46:1 methanol to oil molar ratio. The experimental output of biodiesel was compared with the predicted response from RSM. The amount of the Environmental factor was determined to be 0.0251 at maximum biodiesel yield. A lower value of the E factor suggests that there was minimum waste produced during biodiesel production.