Anaerobic conversion of Chromolaena odorata (Siam weed) to biogas

被引:24
作者
Dahunsi, S. O. [1 ,2 ]
Oranusi, S. [3 ]
Efeovbokhan, V. E. [4 ]
Olayanju, A. [1 ,5 ]
Zahedi, S. [1 ,6 ]
Ojediran, J. O. [1 ,5 ]
Izebere, J. O. [2 ]
Aladegboye, O. J. [1 ,7 ]
机构
[1] Landmark Univ, Environm & Technol Res Cluster, Biomass & Bioenergy Grp, Omu Aran, Nigeria
[2] Landmark Univ, Biol Sci Dept, Omu Aran, Nigeria
[3] Covenant Univ, Biol Sci Dept, Ota, Nigeria
[4] Covenant Univ, Chem Engn Dept, Ota, Nigeria
[5] Landmark Univ, Dept Agr & Biosyst Engn, Omu Aran, Nigeria
[6] Cadiz Univ, Fac Marine & Environm Sci, Dept Environm Technol, Cadiz, Spain
[7] Landmark Univ, Dept Civil Engn, Omu Aran, Nigeria
关键词
Anaerobic digestion; Lignocellulosic biomass; Methane; Optimization; Pretreatment; Siam weed; WASTE ACTIVATED-SLUDGE; FINE SIEVED FRACTION; CO-DIGESTION; THERMAL PRETREATMENT; METHANE PRODUCTION; POULTRY DROPPINGS; ENERGY BALANCES; FOOD WASTE; OPTIMIZATION; GENERATION;
D O I
10.1016/j.egyr.2018.10.006
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:691 / 700
页数:10
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