Model for Assessment Evaluation of Methane Gas Yield Based on Hydraulic Retention Time during Fruit Wastes Biodigestion

Abstract

This paper presents an assessment evaluation of methane gas yield using a derived model based on the hydraulic retention time (HRT) of the feed stock (waste fruits) undergoing biotreatment in the digester. The derived model; γ = e(3.5436 α + 2.0259) indicates an exponential relationship between methane yield and the HRT. Statistical analysis of the model-predicted and experimental gas methane yield for each value of HRT considered shows a standard error of 0.0081 and 0.0114% respectively. Furthermore, the correlation between methane yield and HRT as obtained from derived model and experimental results were evaluated as 0.9716 and 0.9709 respectively. Methane gas yield per unit HRT as obtained from derived model and experiment are 0.0196 and 0.0235 (m3kg-1 VS) days-1 respectively. Deviational analysis indicates that the maximum deviation of the model-predicted methane yield from the corresponding experimental value is less than 16%. It was also found that the validity of the model is rooted on the expression 0.2822 ln γ = α + 0.5717 where both sides of the expression are correspondingly approximately equal.

Share and Cite:

C. Nwoye, A. Ferdinand, I. Agatha and O. Samuelmary, "Model for Assessment Evaluation of Methane Gas Yield Based on Hydraulic Retention Time during Fruit Wastes Biodigestion," Journal of Minerals and Materials Characterization and Engineering, Vol. 11 No. 10, 2012, pp. 947-952. doi: 10.4236/jmmce.2012.1110093.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] M. Sudip, M. Biswanath, D. Apurba and S. M. Sudit, “Studies on Processing and Characterization of Hydroxya Patite Biomaterials fron Different Biowastes,” Journal of Minerals & Materials Characterization & Engineering, Vol. 11, No. 1, 2012, pp. 52-67.
[2] H. Esher and K. Chen-Ming, “Household Solid Wastes Recycling Induced Production Values and Employment Opportunities in Taiwan,” Journal of Minerals & Materi als Characterization & Engineering, Vol. 1, No. 2, 2002, pp. 121-129.
[3] S. Morimura, Z. Y. Ling and K. Kida, “Ethanol Produc- tion by Repeated Batch Fermentation at High Tempera- ture in a Molasses Medium Containing a High Concentra- tion of Total Sugar by Thermotolerant Flocculating Yeast with Improved Salt Tolerance,” Journal of Fermentation and Bioengineering, Vol. 83, No. 3, 1997, pp. 271-274. doi:10.1016/S0922-338X(97)80991-9
[4] P. K. Agrawal, S. Kumar and S. Kumar, “Studies on Al- cohol Production from Sugarcane Juice, Sugarcane Mo- lasses, Sugarbeet Juice and Sugarbeet Molasses, Sac- charomyces Cerevisiae,” Proceedings of the 60th Annual Convention of the Sugar Technologists Association of In- dia, Shimla, 19-21 September 1998, pp. 34-45.
[5] A. I. El-Diwany, M. S. El-Abyad, R. A. H. EL, L. A. Sallam and R. P. Allam, “Effect of Some Fermentation Parameters on Ethanol Production from Beet Molasses by Saccahromyces Cerevisiae Y-7,” Bioresearch Technology, Vol. 42, No. 3, 1992, pp. 191-198. doi:10.1016/0960-8524(92)90022-P
[6] B. Bulawayo, J. M. Brochora, M. I. Munzondo and R. Zvauya, “Ethanol Production by Fermentation of Sweet Sorghum Juice Using Various Yeast Strains,” World Journal of Microbiology and Biotechnology, Vol. 12, No. 4, 1996, pp. 357-360. doi:10.1007/BF00340211
[7] N. K. Sree, M. Sridhar, K. Suresh, I. M. Bharat and L. V. Rao, “High Alcohol Production by Repeated Batch Fer- mentation Using Immobilized Osmotolerant Saccharomy- ces Cerevisiae,” Journal of Industrial Microbiology and Biotechnology, Vol. 24, No. 3, 2000, pp. 222-226. doi:10.1038/sj.jim.2900807
[8] D. S. L. O. Beall, A. B. Bassat, J. B. Doran, D. E. Fowler, R. G. Hall and B. E. Wood, “Conversion of Hydrolysate of Corn Cobs and Hulls into Ethanol by Recombinant E.coli B Containing Integrated Genes for Ethanol Produc- tion,” Biotechnology Letters, Vol. 14, No. 9, 1992, pp. 857. doi:10.1007/BF01029153
[9] S. Arni, M. Molinari, M. D. Borghi and A. Converti, “Improvement of Alcohol Fermentation of a Corn Starch Hydrolysate by Viscosity Raising Additives,” Starch St?rke, Vol. 51, No. 6, 1999, pp. 218-24. doi:10.1002/(SICI)1521-379X(199906)51:6<218::AID-STAR218>3.0.CO;2-7
[10] A. S. Othman, M. N. Othaman, A. R. Abdulrahim and S. A. Bapar, “Cocoa, Pineapples, Sugarcane Waste for Etha- nol Production,” Planter, Vol. 68, No. 792, 1992, pp. 125-132.
[11] C. Silva, G. R. J. H. Castro, C. Abercio-da-Silva and R. J. H. C. Gomez, “Study of the Fermentation Process Using Milk Whey and the Yeast Kluyveromyces Fragilis,” Semina Londrina, Vol. 16, 1995, pp. 17-21.
[12] Anonymous, “Final Report Submitted to Department of Non-Conventional Energy Sources,” Government of In- dia, New Delhi, 1989.
[13] B. Nagamani and K. Ramasamy, ‘‘Biogas Production Technology: An Indian Perspective,’’ Fermentation Laboratory, Coimbatore, Vol. 13, 1994, pp. 33-35.
[14] P. Viswanath, S. Devi and K. Krishnanand, “Anaerobic Digestion of Fruit and Vegetable Processing Wastes for Biogas Production,” Bioresearch Technology, Vol. 40, No. 1, 1992, pp. 43-48. doi:10.1016/0960-8524(92)90117-G
[15] R. Sarada and R. Joseph, “Characterization and Enumera- tion of Microorganisms Associated with Anaerobic Di- gestion of Tomato-Processing Waste,” Bioresearch Tech- nology, Vol. 49, No. 3, 1994, pp. 261-265. doi:10.1016/0960-8524(94)90050-7
[16] M. Mahadevaswamy and L. V. Venkataraman, “Integrated Utilization of Fruit-Processing Wastes for Biogas and Fish Production,” Biology Wastes, Vol. 32, No. 4, 1990, pp. 243-251. doi:10.1016/0269-7483(90)90056-X
[17] C. I. Nwoye, “Data Analytical Memory,” C-NIKBRAN, 2008.
[18] Microsoft Excel 2003 Version.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.