Anaerobic conversion of Chromolaena odorata (Siam weed) to biogas. (November 2018)
- Record Type:
- Journal Article
- Title:
- Anaerobic conversion of Chromolaena odorata (Siam weed) to biogas. (November 2018)
- Main Title:
- Anaerobic conversion of Chromolaena odorata (Siam weed) to biogas
- Authors:
- Dahunsi, S.O.
Oranusi, S.
Efeovbokhan, V.E.
Olayanju, A.
Zahedi, S.
Ojediran, J.O.
Izebere, J.O.
Aladegboye, O.J. - Abstract:
- Abstract: This study evaluated the anaerobic mono-digestion of two different samples of Chromolaena odorata . Combinations of mechanical and thermo-alkaline pretreatments were applied to one of the two samples and labeled as "X" while the second had no thermo-alkaline treatment and was labeled as "Y". The Central Composite Design was used to design the pretreatments. The physicochemical characteristics of the substrates were carried out using standard methods after appropriate pretreatments. From the experimental set-ups, the most probable actual biogas yields in experiments "X" and "Y" were 0.3554 m 3 /kg Total Solid (TS)fed and 0.1803 m 3 /kg TSfed with the desirability of 99 and 100%, respectively. Further shown in the result is a 49.2% higher experimental (actual) biogas yield in experiment "X" over "Y". Gas chromatographic analysis revealed the CH4 and CO2 content of both experiments to be 65 ± 1.5%; 21 ± 3% and 53.5 ± 2.5%; 26 ± 3%, respectively. Combination of different pretreatment methods enhanced enormous biogas yield from the digested substrates. Optimization of the generated biogas data was carried out using the Response Surface Methodology (RSM) and the Artificial Neural Networks (ANNs). The coefficient of determination (R 2 ) for RSM was lower compared to that of ANN. This shows that ANNs model gives higher accuracy than RSM model. Further utilization of this weed for biogas production is encouraged by the results from this study. Graphical abstract:Abstract: This study evaluated the anaerobic mono-digestion of two different samples of Chromolaena odorata . Combinations of mechanical and thermo-alkaline pretreatments were applied to one of the two samples and labeled as "X" while the second had no thermo-alkaline treatment and was labeled as "Y". The Central Composite Design was used to design the pretreatments. The physicochemical characteristics of the substrates were carried out using standard methods after appropriate pretreatments. From the experimental set-ups, the most probable actual biogas yields in experiments "X" and "Y" were 0.3554 m 3 /kg Total Solid (TS)fed and 0.1803 m 3 /kg TSfed with the desirability of 99 and 100%, respectively. Further shown in the result is a 49.2% higher experimental (actual) biogas yield in experiment "X" over "Y". Gas chromatographic analysis revealed the CH4 and CO2 content of both experiments to be 65 ± 1.5%; 21 ± 3% and 53.5 ± 2.5%; 26 ± 3%, respectively. Combination of different pretreatment methods enhanced enormous biogas yield from the digested substrates. Optimization of the generated biogas data was carried out using the Response Surface Methodology (RSM) and the Artificial Neural Networks (ANNs). The coefficient of determination (R 2 ) for RSM was lower compared to that of ANN. This shows that ANNs model gives higher accuracy than RSM model. Further utilization of this weed for biogas production is encouraged by the results from this study. Graphical abstract: Highlights: Biogas was produced from the digestion of Chromolaena odorata shoot. Thermo-alkaline pretreatment enhanced enormous biogas yield from the substrates. Over 49.20% gas yield was obtained with pretreatment over the untreated substrates. The optimal condition for maximal biogas yield were established. A positive energy balance was obtained which can be increased with higher loading. … (more)
- Is Part Of:
- Energy reports. Volume 4(2018)
- Journal:
- Energy reports
- Issue:
- Volume 4(2018)
- Issue Display:
- Volume 4, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 4
- Issue:
- 2018
- Issue Sort Value:
- 2018-0004-2018-0000
- Page Start:
- 691
- Page End:
- 700
- Publication Date:
- 2018-11
- Subjects:
- Anaerobic digestion -- Lignocellulosic biomass -- Methane -- Optimization -- Pretreatment -- Siam weed
Power resources -- Periodicals
Energy industries -- Periodicals
Power resources
Periodicals
Electronic journals
621.04205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23524847/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.egyr.2018.10.006 ↗
- Languages:
- English
- ISSNs:
- 2352-4847
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23152.xml