ABSTRACT
Biogas is a renewable energy
comprising of a mixture of gases (methane and carbon dioxide) produced from
organic matter, mostly waste, by a mixture of bacteria anaerobically. It can be
burnt to generate heat, electricity or be used as vehicle fuel. The residual
(digestate) can be used as fertilizer. This study was carried out to optimize
the biogas yield from three independent variables (K=3) namely some organic
matter and cow dung as feed stock, pH and retention time designed according to Box-Wilson
(1951) experimental design matrix. The variables which were varied, each into
five equal spaced levels; feedstock (6.00, 8.00, 10.00, 12.00, and 14.0) liters;
pH (2, 4, 6, 8, and 10) and retention time (7, 14, 21, 28, and 35) days. The
feedstock was fermented inside a locally fabricated bioreactor for 35 days. A
total of 21 experimental runs were generated and subjected to response surface
data analysis using MINITAB (version 11.21). A Central Composite Rotatable
Response Surface Design (CCRRSD) was employed to study the linear, quadratic
and cross product effects of the three variables on the biogas yield,
temperature and biogas gas components. Three dimensional response surface
contour figures were plotted to visualize the effects of process variables on
the responses with MATLAB (version R2007b). Results revealed that at variable
combinations of 10 liters, 6 pH and 35days respectively for feedstock volume,
pH and retention time, there were maximum biogas yield (4.420 liters), methane
(2.990 liters), CO2 (0.950 liters), hydrogen sulphide (0.040 liters)
and temperature (33oC). Minimum values of biogas yield (0.950 liters),
methane (0.610 liters), CO2 (0.310 liters), hydrogen sulphide (0.010
liters) and temperature (28oC) were obtained at variable
combinations of 10 liters, 6 pH, 7 days respectively for feedstock volume, pH
and retention time. Temperature obtained was at mesophilic range. The model also
revealed that all the independent variables were significantly (p<0.05)
linearly, quadratic and interactively related to their responses and the model
gave good fit for the data based on the correlation coefficient (0.6203-0.8222)
obtained.
ANIEKPENO, E (2024). The use of Response Surface Methodology in the optimization and synthesis of biogas from organic wastes:- Umoh, Aniekpeno E. Mouau.afribary.org: Retrieved Sep 08, 2024, from https://repository.mouau.edu.ng/work/view/the-use-of-response-surface-methodology-in-the-optimization-and-synthesis-of-biogas-from-organic-wastes-umoh-aniekpeno-e-7-2
EFFIONG, ANIEKPENO. "The use of Response Surface Methodology in the optimization and synthesis of biogas from organic wastes:- Umoh, Aniekpeno E" Mouau.afribary.org. Mouau.afribary.org, 18 Jul. 2024, https://repository.mouau.edu.ng/work/view/the-use-of-response-surface-methodology-in-the-optimization-and-synthesis-of-biogas-from-organic-wastes-umoh-aniekpeno-e-7-2. Accessed 08 Sep. 2024.
EFFIONG, ANIEKPENO. "The use of Response Surface Methodology in the optimization and synthesis of biogas from organic wastes:- Umoh, Aniekpeno E". Mouau.afribary.org, Mouau.afribary.org, 18 Jul. 2024. Web. 08 Sep. 2024. < https://repository.mouau.edu.ng/work/view/the-use-of-response-surface-methodology-in-the-optimization-and-synthesis-of-biogas-from-organic-wastes-umoh-aniekpeno-e-7-2 >.
EFFIONG, ANIEKPENO. "The use of Response Surface Methodology in the optimization and synthesis of biogas from organic wastes:- Umoh, Aniekpeno E" Mouau.afribary.org (2024). Accessed 08 Sep. 2024. https://repository.mouau.edu.ng/work/view/the-use-of-response-surface-methodology-in-the-optimization-and-synthesis-of-biogas-from-organic-wastes-umoh-aniekpeno-e-7-2