Production of biodiesel from coastal macroalgae (Chara vulgaris) and optimization of process parameters using Box-Behnken design

Abstract

Renewable biodiesels are needed as an alternative to petroleum-derived transport fuels, which contribute to global warming and are of limited availability. Algae biomass, are a potential source of renewable energy, and they can be converted into energy such as biofuels. This study introduces an integrated method for the production of biodiesel from Chara vulgaris algae collected from the coastal region of Bangladesh. The Box–Behnken design based on response surface methods (RSM) used as the statistical tool to optimize three variables for predicting the best performing conditions (calorific value and yield) of algae biodiesel. The three parameters for production condition were chloroform (X1), sodium chloride concentration (X2) and temperature (X3). Optimal conditions were estimated by the aid of statistical regression analysis and surface plot chart. The optimal condition of biodiesel production parameter for 12 g of dry algae biomass was observed to be 198 ml chloroform with 0.75 % sodium chloride at 65 °C temperature, where the calorific value of biodiesel is 9255.106 kcal/kg and yield 3.6 ml.

Small scale biodiesel production from <em>Sargassum</em> sp and optimization of conditions for yield enhancement

“…Therefore, in addition to the quantity of the algal sample, it could be concluded that the size of the algal particles also influenced in the final oil yield. [29,30]. Table 1: Amount of oil extracted using different solvent combination…”

Experimental processing of seaweeds for biofuels

“…• Optimal conditions of biodiesel production for 12 g of dry algae are: 198 mL of chloroform, 0.75% NaCl, 65 C-yield 3.6 mL (0.3 mL/g dry weight) (Siddiqua, Mamun, & Enayetul Babar, 2015) • Padina tetrastromatica (B); Rameswaram, Mandapam Tamil Nadu, India…”

Comparison of Response Surface Methodology and Artificial Neural Network for Modeling Xylose‐to‐Xylitol Bioconversion

“…However, when more than one response must be optimized, it is necessary to use the so-called desirability functions [4]. RSM was often utilized to optimize different bioprocesses such as anaerobic digestion [5] and productions of bioethanol [6], lactic acid [7], triterpenoids [8], and biodiesel [9], among others. This methodology has also been successfully applied to xylose-to-xylitol bioconversion by the yeasts Candida tropicalis [10], Pachysolen tannophilus [11], Candida guilliermondii [12], and Debaryomyces hansenii [13].…”