TY  - JOUR
T1  - Production, Kinetics and Purification of Biogas from Cow-Dung and Cassava Peels
AU - Dinneya-Onuoha, Ekele AU - B. Oyoh, Kechinyere 
JO  - International Journal of Electrical and Power Engineering
VL  - 15
IS  - 1
SP  - 1
EP  - 10
PY  - 2021
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2021.1.10
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2021.1.10
KW  - Cow dung
KW  -cassava peels
KW  -anaerobic
KW  -codigestion
KW  -regression
KW  -model
KW  -biogas
AB  - The aim of this work is to predict the effect of
temperature, pH and retention time on biogas production
using some regression models while investigating other
parameters such as the chemical oxygen demand and total
viable count. A slurry mixture of cassava peels and
cow-dung was co-digested in a metallic fixed-dome
anaerobic digester in a ratio of 1:1 and then monitored for
a 30-day period. The experiment was carried out at
ambient temperatures which also fall into the mesophilic
temperature range, (25-40°C). Daily physicochemical data
demonstrated that the pH and slurry temperature ranged
from 5.8-7 and 25.8-34.7°C, respectively. Biogas
production began on the second day with a peak
production of 6.2-L on the 15th day. The work recorded
a cumulative volume of 103.3-L for the 30-day span.
Kinetic studies reveal significant biogas production with
Modified Gompertz Model giving the better prediction
with an R<sup>2</sup> value of 0.9949 as compared to the Logistic
Growth Model used. The explicit polynomial regression
model was clearly seen to be the best predictor with
R<sup>2</sup> = 0.79, showing retention time as a primary factor
while pH and temperature are secondary factors. This tool
is thus, useful in the optimization of biogas production as
it considers the interactions of these core factors affecting
biogas production. There is further need for improvement
and refinement.
ER  -