Kinetics of biogas production from fermentation broth of wild cocoyam codigested with cow paunch in batch mode

Authors

  • I.C.E. Umeghalu Department of Agricultural and Bioresources Engineering, Nnamdi Azikiwe University, Awka, Nigeria
  • E.I.U. Nwuba Department of Agricultural and Bioresources Engineering, Nnamdi Azikiwe University, Awka, Nigeria
  • D.O. Onukwuli Department of Chemical Engineering, Nnamdi Azikiwe University, Awka, Nigeria
  • I.F. Okonkwo Department of Agricultural and Bioresources Engineering, Nnamdi Azikiwe University, Awka, Nigeria
  • J.O. Ngini Department of Agricultural and Bioresources Engineering, Nnamdi Azikiwe University, Awka, Nigeria

Keywords:

Anaerobic digestion, mathematical models, cocoyam waste, cow paunch, co-diges

Abstract

Mathematical models are useful in solving the stability problems often exhibited by anaerobic digestion process. Kinetics of batch anaerobic digestion of cocoyam waste mixed with cow paunch for biogas production in batch mode was studied for 30 days hydraulic retention time (HRT). Data from cumulative biogas yield obtained during the experimental stages was fitted to C-NIKBRAN mathematical model based on first order reaction which adequately predicted the kinetic behavior of the substrate’s anaerobic biodegradability. The validity of the applied model was also verified through application of the regression model (ReG) (Least Square Method using Excel Version 2003) in predicting the trend of the experimental results. Comparative analysis of Figs. 7-10 show very close alignment of curves which precisely translated into significantly similar trend of data point’s distribution for experimental (ExD), derived model (MoD) and regression model-predicted (ReG) results of cumulative biogas yield. Also, critical analysis of data obtained from experiment and derived model show low deviations on the part of the model-predicted values relative to values obtained from the experiment. This necessitated the introduction of correction factor, to bring the model-predicted cumulative biogas yield to those of the corresponding experimental values. Deviational analysis from strongly indicates that cumulative biogas yield was most reliable based on the associated admissible deviation of the model-predicted cumulative biogas yield from the corresponding experimental values); 9.2% within the pH range. The values of cumulative biogas yield within the highlighted deviation indicates over 90% confidence level for the applied model and over 0.9 effective dependency coefficients (EDC) of cumulative biogas yield on pH, chemical oxygen demand (COD), total viable count (TVC) and total dissolved solids (TDS). Also, deviation of model-predicted cumulative biogas yield from corresponding experimental results indicates a maximum deviation of 7.17%. This translated into over 92% operational confidence for the derived model as well as over 0.92 effective dependency coefficients (EDC) of cumulative biogas yield on pH, chemical oxygen demand, total viable count, and total dissolved solids.

References

Anette, H., and Angelidaki, I.(2009). Anaerobic digestion of slaughter house by-products. Biomass and Bioenergy. 33.1046-1054. http://www.elsevier.com/locate/biombioe.

Angelidaki , I. I., Ellegaard, L. and Ahring, B.K. (1999). A comprehensive model of anaerobic bioconversion of complex substrates to biogas. Biotechnol Bioeng 63: 363-372.

Buffiere P, Loisel D, Bernet N, Delgenes JP (2006) Towards new indicators for the prediction of solid waste anaerobic digestion properties. Water Sci. Technol 53: 233-241.

Campos, E., Jordi, P. and Xavier, F. (1999). Proceedings of the 2nd. International Symposium on Anaerobic Digestion of Solid Waste. Barcelona, Junio pp 192-195.

Chukwuma, E.C., Nzedegwu, C., Umeghalu, I.C.E. and Ogbu, K.N. (2012). Co-digestion of paunch manure with cow dung: An effective strategy for waste management in Awka municipal abattoirs. Proceeding Conference on Infrastructural Dev. And Maintenance in the Nigerian Environment. Faculty of Engineering NAU, Awka. Pp 191-197.

Bhatia, B.S.; Siddappa, G.S. and G. Lal, G. (1955). Composition and nutritive value of jackfruit. Indian Journal ofAgricultural Science, 25 (4): 30-36.

Bobbio, F.O., El-Dash, A.A., Bobbio, P.A. and Rodrisgues, L.R. (1977). Isolation and characterization of the physiochemical properties of the starch of Jackfruit seeds (Artocarpus Heterophyllus Lam). J. Cereal Chem. 55 (4): 505-511.

Budiyono, I.N., Widiasa, S., Johari, P. and Sunarso, R. (2010). The kinetic of biogas production rate from cattle manure in batch mode. International Journal of Chemical and abiological Engineering. 3; 39-44.

Buendia, I.M., Francisco, J.F., Jose, V. and Lourdes, R. (2009). Feasibility of anaerobic co-digestion as a treatment option of meat industry waste. Bioresource Technology 100: 1903-1909.

Casey, T.J. (2010).Requirements and methods for mixing in anaerobic digesters. Anaerobic digestion of sewage sludge and organic agricultural wastes. Elsevier Applied Sci. Publication. 90-103.

Chukwuma, E.C., Nzedegwu, C., Umeghalu, I.C.E. and Ogbu, K.N. (2012). Co-digestion of paunch manure with cow dung: An effective strategy for waste management in Awka municipal abattoirs. Proceeding Conference on Infrastructural Dev. And Maintenance in the Nigerian Environment. Faculty of Engineering NAU, Awka. Pp 191-197.

Ezeoha, S.L., and Idike, F.I. (2007). Biogas production potentials of cattle paunch manure. Journal of Agric. Engineering Technology (JAET). Vol. 15. P25-31.

Goswani, C., Hossian, M.A., Kader, H.A. and Islam, R. (2011). Assessment of physiochemical properties of Jackfruit (Artocarpus heterophyllus lam) pulps. Journal of Horticulture, Forestry and Biotechnology. Vol. 15 (3): 26-31.

Katima, J. H. Y. (2001). Production of biogas from water hyacinth: Effect of substrate concentration, particle size and incubation period. Tanzanian Journal of Sci. 27: 107-119.

Lyberatos, G. and Skiadas, I. V. (1999). Modelling of anaerobic digestion. A review. Global Nest: International Journal. Vol.1 (2): 63-76.

Marchaim, U. (1992). Biogas processes fo sustainable development. Publication Division, Food and Agricultural Organization of the United Nations, Vialedelle .

Mata-Alvarez, J., Mac, E, S., Llabres, P. (2000). Anaerobic digestion of organic solid wastes. An overview of research achievements and perspectives. Bioresource Technol. 74, 3-16.

Mattocks, R. (1980). Understanding biogas generation. Vita Volunteers in Technical Assistance, Arlington, Virginia, USA.

Mshandete, A., Bjornsson, L., Kivaisi, A. K., Rubindamayugi,M.S.T., Maltiasson, B. (2006).Effect of particle size on biogas yield from sisal fibre waste. Renew. Energ. 31:2385-2392.

Ntengwe, F.W., Lawrence, N., George, K. and Lordwel, K.W. (2010). Biogas production in an enclosed floating dome batch digester under tropical conditions. International Journal of Chem. Tech. Research, Vol. 2, No.1.,pp 483-492.

Nwabanne,J.T., Okoye, A.C., and Ezedinma, H.C. (2012). Kinetics of anaerobic digestion of palm oil mill effluent. SENRA Academic Publishers. Burnaby B, Columbia, Canada. Journal of Pure and Applied Science. 6 (1):1877-1881

Ofoefule, A.U., Eme, E.L.,Uzodinma, E.O., and Ibeto, C.N. (2010). Comparative study of the effect of chemical treatments on cassava peels for biogas production. Sci. Research and Essays. 5(24) SS: 3808-3813.

Ojolo, S. J., Oke, S. A., Animashaum, K., Adesuyi, B.K. (2007). Utilization of poultry, cow dung and kitchen waste for biogas production: a comparative analysis. Iran Journal of Envir. Health Sci. Eng. 4 (4): 223-228.

Pound, B., Done, F., Preston, T.R. (1981). Biogas production from mixtures of cattle slurry and pressed sugar cane stalk, with and without urea. Trop. Anim. Prod. 6: 1.

Stalin, N. and Prabhu, N. J. (2007). Performance evaluation of partial mixing anaerobic digester. ARPN. Journal of Engineering and Applied Sci. 2(3).

Umeghalu, I.C.E., Chukwuma,E.C., Okonkwo, I.F.and Umeh, S.O. (2012). Potentials for biogas production in Anambra State of Nigeria using cow dung and poultry droppings. International Journal of Veterinary Sci, 1 (1); pp 25-29.

Yu, L., Wensel, P.C., Ma, J. and Chen, J. (2013). Mathematical Modeling in Anaerobic Digestion (AD) J Bioremed Biodeg 2013, S4: 003. Dol 10.4172/2155.61999,

Published

2015-03-27

How to Cite

Umeghalu, I. ., Nwuba, E. ., Onukwuli, D. ., Okonkwo, I. ., & Ngini, J. . (2015). Kinetics of biogas production from fermentation broth of wild cocoyam codigested with cow paunch in batch mode. Scientific Journal of Pure and Applied Sciences, 4(3), 98-104. Retrieved from http://www.sjournals.com/index.php/sjpas/article/view/463

Issue

Section

Agriculture