Determining Optimization of Factors Affecting Biogas Production by Co-digestion of Sweet Corncob Waste with Wastewater using Response Surface Methodology

Authors

  • Jutaporn Chanathaworn
  • Churat Thararux
  • Jiraporn Paoaiang

Keywords:

Co-digestion, Biogas production, Anaerobic digestion, Response surface methodology

Abstract

The objective of this study was to investigate the optimum conditions for biogas production by co-digestion of wastewater with sweet corncob waste (SW) in a 1 L batch reactor using a response surface methodology (RSM) experimental design. With three experimental factors affecting the production of biogas including the ratio of wastewater from sweet corncob milling process (WM) and wastewater from production process (WP) (WM:WP; 0:100, 20:80, 50:50, 80:20 and 100:0), total solid of substrate (TS, 8-16%) and initial pH (6 - 8) were studied. A quadratic model was used for the prediction of biogas production by central composite design (CCD). Probability (P<0.05) showed a very significance for the regression model with the R2 = 0.987. The model could be efficiently used for predicting biogas production from co-digestion. The analysis of variance indicated that all of the factors had significant individual effect on biogas production. The optimum conditions were found to be as follows: TS of substrate, 10%; initial pH, 7.0; WM:MP ratio, 50:50. The maximum biogas production was approximately 6,125 mL (7.56 mLCH4/gCODremoved.day of methane yield). The RSM technique was useful to predict the biogas production process in this study successfully.

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Published

1 May 2018

How to Cite

Chanathaworn, J., Thararux, C., & Paoaiang, J. (2018). Determining Optimization of Factors Affecting Biogas Production by Co-digestion of Sweet Corncob Waste with Wastewater using Response Surface Methodology. Journal of Renewable Energy and Smart Grid Technology, 13(1). Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/65162

Issue

Vol. 13 No. 1 (2018): January-June 2018

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Articles

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