Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Engineering
N Evolution And Physiochemical Structure Changes In Chars During Co-Pyrolysis: Effects Of Abundance Of Glucose In Fiberboard, Deliang Xu, Liu Yang, Ming Zhao, Yu Song, Karnowo, Hong Zhang, Xun Hu, Hongqi Sun, Shu Zhang
N Evolution And Physiochemical Structure Changes In Chars During Co-Pyrolysis: Effects Of Abundance Of Glucose In Fiberboard, Deliang Xu, Liu Yang, Ming Zhao, Yu Song, Karnowo, Hong Zhang, Xun Hu, Hongqi Sun, Shu Zhang
Research outputs 2014 to 2021
© 2020 by the authors. The simple incineration of wood-based panels (WBPs) waste generates a significant amount of NOx, which has led to urgency in developing a new method for treating the N-containing biomass residues. This work aims to examine the N evolution and physiochemical structural changes during the co-pyrolysis of fiberboard and glucose, where the percentage of glucose in the feedstock was varied from 0% to 70%. It was found that N retention in chars was monotonically increased with increasing use of glucose, achieving ~60% N fixation when the glucose accounted for 70% in the mixture. Pyrrole-N (N-5) and …
A Review Of Biohydrogen Productions From Lignocellulosic Precursor Via Dark Fermentation: Perspective On Hydrolysate Composition And Electron‐Equivalent Balance, Yiyang Liu, Jingluo Min, Xingyu Feng, Yue He, Jinze Liu, Yixiao Wang, Jun He, Hainam Do, Valerie Sage, Gang Yang, Yong Sun
A Review Of Biohydrogen Productions From Lignocellulosic Precursor Via Dark Fermentation: Perspective On Hydrolysate Composition And Electron‐Equivalent Balance, Yiyang Liu, Jingluo Min, Xingyu Feng, Yue He, Jinze Liu, Yixiao Wang, Jun He, Hainam Do, Valerie Sage, Gang Yang, Yong Sun
Research outputs 2014 to 2021
This paper reviews the current technological development of bio-hydrogen (BioH2) generation, focusing on using lignocellulosic feedstock via dark fermentation (DF). Using the collected reference reports as the training data set, supervised machine learning via the constructed artificial neuron networks (ANNs) imbedded with feed backward propagation and one cross-out validation approach was deployed to establish correlations between the carbon sources (glucose and xylose) together with the inhibitors (acetate and other inhibitors, such as furfural and aromatic compounds), hydrogen yield (HY), and hydrogen evolution rate (HER) from reported works. Through the statistical analysis, the concentrations variations of glucose (F-value = …