Dynamic modeling and analyses of simultaneous saccharification and fermentation process to produce bio-ethanol from rice straw

• Published in: Bioprocess and biosystems engineering 2010-02, Vol.33 (2), p.195-205
• Main Authors: Ko, Jordon, Su, Wen-Jun, Chien, I-Lung, Chang, Der-Ming, Chou, Sheng-Hsin, Zhan, Rui-Yu
• Format: Article
• Language: English
• Subjects: Agricultural wastes; Bioengineering; Biofuels; Biological and medical sciences; Biomass; Biotechnology; Biotechnology - methods; Cellulose; Cellulose - chemistry; Chemical reactions; Chemistry; Chemistry and Materials Science; Environmental Engineering/Biotechnology; Enzymes; Ethanol; Ethanol - chemistry; Fermentation; Food Science; Fundamental and applied biological sciences. Psychology; Fungi - metabolism; Glucose - chemistry; Hydrolysis; Industrial and Production Engineering; Industrial Chemistry/Chemical Engineering; Industrial Microbiology - methods; Kinetics; Methods. Procedures. Technologies; Microbial engineering. Fermentation and microbial culture technology; Models, Statistical; Original Paper; Oryza - metabolism; Oryza sativa; Rice; Rice straw; Saccharomyces cerevisiae - metabolism; Temperature; Time Factors; Yeast
• ISSN: 1615-7591; 1615-7605
• DOI: 10.1007/s00449-009-0313-1

The rice straw, an agricultural waste from Asians' main provision, was collected as feedstock to convert cellulose into ethanol through the enzymatic hydrolysis and followed by the fermentation process. When the two process steps are performed sequentially, it is referred to as separate hydrolysis and fermentation (SHF). The steps can also be performed simultaneously, i.e., simultaneous saccharification and fermentation (SSF). In this research, the kinetic model parameters of the cellulose saccharification process step using the rice straw as feedstock is obtained from real experimental data of cellulase hydrolysis. Furthermore, this model can be combined with a fermentation model at high glucose and ethanol concentrations to form a SSF model. The fermentation model is based on cybernetic approach from a paper in the literature with an extension of including both the glucose and ethanol inhibition terms to approach more to the actual plants. Dynamic effects of the operating variables in the enzymatic hydrolysis and the fermentation models will be analyzed. The operation of the SSF process will be compared to the SHF process. It is shown that the SSF process is better in reducing the processing time when the product (ethanol) concentration is high. The means to improve the productivity of the overall SSF process, by properly using aeration during the batch operation will also be discussed.