Abstract
Biogas generation is accomplished by anaerobic digestion of biodegradable material in a biogas digester. Anaerobic digestion as a process requires dynamic model for predicting process performance.
Mathematical model for biogas production from anaerobic digesters described in this study was used to predict biogas generation using experimental data.
Multiple regression analysis was used in analyzing two sets of data, the first sets of data contains four different experimental results of biogas yield in which the biogas production rate was determined weekly.
The second sets of data containing four different experimental results had biogas production rate determined daily, while the first data sets were used as a curve fitting model, the second sets were used for the verification of the model derived.
The predicted values of biogas yield were close to the measured values with a maximum correlation coefficient, R = 0.91.
It was further showed that the regression constants were dependent on temperature only. Hence, the predictive capability of the model can be improved by making those regression constants dependent on temperature.
Introduction
Background of Study
Nature does not produce any wastes. All by – products and final products of natural processes are used in a continuous cycle of the composition and mineralization of organic substances.
The biosphere has a high buffer potential giving it a wide tolerance range for all natural products and processes.
Only with the growth of human population and its economical activities that wastes become a serious danger to the steady – state of the natural metabolic processes.
With the continuous growth of the cities and the concentration of an increasing part of the population in municipal areas, a solution of the waste problem becomes more and more inevitable.
While a big part of the inorganic wastes – like glass, plastics, metals etc – meanwhile are recycled, the biggest part of the organic waste fraction is still simply put on waste disposal sites.
The uncontrolled decomposition of these materials adds another stress factor to our endangered environment. The partially anaerobic conditions cause gaseous emissions of carbon dioxide, ammonia and methane to the atmosphere, while the products of the mineralization
References
Ahmed T. Sulaiman: (2001). Focusing on Renewable Energy Sources in Nigeria’s Developmental Strategy. Keynote Address at a National Workshop on Creating Demand and Removing Barriers to Renewable Energy Market Development in Nigeria, Sheraton Hotels and Towers Abuja, N.c. 13-14.
Aliyu, M.; Dangoggo, S. M. and Atiku (1995). Biogas Production from Pigeon Droppings. Nigeria Journal of Solar Energy. 13,45.
Amon, Th., V. Kryvosrucko, B. Amon, G. Moitzi, D. Lyson, E. Hackl, D Jeremic,Zollitsch, and Milk Yield by Dairy Cows. J. Dairy Sci. 84:2217-2226.
Anaerobic Digestion: Making Energy and Solving Modern Wastes Problem. Anaerobic Digestion: Making Energy Solving and Solving Modern Wastes Problems Edited by Henrik.
Andara, A. R. and J. M. L. Esteban. 1999. Kinetic Study of the Anaerobic Digestion of the Solid Fraction of Piggery Slurry. Biomass and Bioenergy. 17.435-443
Andrew, J. K (1975), Dynamic Models for the Anaerobic Digestion Process. J. San. Engineering Dic. Asce 25 (SAI): 95-116.
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