Design of experiment in preliminary optimization study of bioethanol production from Chlorella pyrenoidosa

Abstract

As an alternative, sustainable energy form to replace fossil gasoline, the interest in producing bioethanol is still advancing. This is critical especially when third generation bioethanol production is focused, in which the fast-growing green algae is exploited as the feedstock. While the bioethanol production route is principally consistent regardless of the feedstock type, implementing optimization in bioethanol production is advantageous to the production as it presents optimum conditions based on the set variables. This study reports the design of experiment in preliminary analysis of optimization study in bioethanol production from Chlorella pyrenoidosa. Four factors (feedstock loading; NaOH concentration; hydrolysis time; hydrolysis temperature) are selected to determine the main response of reducing sugar as the main desired component for fermentation stage. Using response surface methodology, the design of experiment consists of 29 experimental runs with linear model as the suggested model.