Liquefaction of sewage sludge in ethanol-water mixed solvents for bio-oil and biochar products

F Lai, Y Chang, H Huang, G Wu, J Xiong, Z Pan… - Energy, 2018 - Elsevier
Liquefaction of sewage sludge (SS) is a promising technology for the preparation of bio-oil (target
product) and biochar (by-product). The liquefaction of SS in ethanol-water cosolvent …

Transformation characteristics of polycyclic aromatic hydrocarbons during hydrothermal liquefaction of sewage sludge

YC Chang, XF Xiao, HJ Huang, YD Xiao… - The Journal of …, 2021 - Elsevier
Transformation characteristics of polycyclic aromatic hydrocarbons (PAHs) during hydrothermal
liquefaction (HTL) of sewage sludge are explored in this study. PAHs are generated in …

Co-liquefaction of sewage sludge and rice straw/wood sawdust: The effect of process parameters on the yields/properties of bio-oil and biochar products

H Huang, Y Chang, F Lai, C Zhou, Z Pan, X Xiao… - Energy, 2019 - Elsevier
Liquefaction is a promising technology for the preparation of bio-oil and biochar products
from sewage sludge (SS). Co-liquefaction of SS and agricultural/forestry biomass is likely a …

A study of single multiplicative neuron model with nonlinear filters for hourly wind speed prediction

X Wu, Z Zhu, X Su, S Fan, Z Du, Y Chang, Q Zeng - Energy, 2015 - Elsevier
Wind speed prediction is one important methods to guarantee the wind energy integrated
into the whole power system smoothly. However, wind power has a non–schedulable nature …

An end-to-end face recognition method with alignment learning

F Tang, X Wu, Z Zhu, Z Wan, Y Chang, Z Du, L Gu - Optik, 2020 - Elsevier
Many effective methods have been proposed for face recognition in the past decade and the
face recognition accuracy is also gradually improved, but these algorithms usually need to …

Online training algorithms based single multiplicative neuron model for energy consumption forecasting

X Wu, J Mao, Z Du, Y Chang - Energy, 2013 - Elsevier
Although traditional approaches can yield accurate forecasting results of energy consumption,
they may suffer from several limitations such as the need for large dataset and the linear …

Predicting reliability and failures of engine systems by single multiplicative neuron model with iterated nonlinear filters

X Wu, Y Chang, J Mao, Z Du - Reliability Engineering & System Safety, 2013 - Elsevier
Failures and reliability prediction in engine systems have attracted much attention over the
past decades. Soft computing techniques have been widely studied and successfully applied …

Effects of rice straw/wood sawdust addition on the transport/conversion behaviors of heavy metals during the liquefaction of sewage sludge

X Xiao, Y Chang, F Lai, H Fang, C Zhou, Z Pan… - Journal of …, 2020 - Elsevier
Lignocellulosic biomass has been widely introduced into the liquefaction process of sewage
sludge (SS) to improve the yield/quality of liquefaction products (bio-oil/biochar). This study …

Dimensional synthesis and trajectory planning of plug seedling transplanting robot based on delta parallel mechanism

HU Jianping, J Heqi, C Yanchao, LIU Wei… - Nongye Jixie Xuebao …, 2017 - nyjxxb.net
Delta parallel mechanism is effective in speed, kinematic accuracy and flexibility, which is
appropriate for the plug seedling transplanting and healthy plug seedling filling, thus a high-…

Hetero-bifunctional catalyst manipulates carbonyl and alkynyl reductions of conjugated alkynones in an aqueous medium

Y Su, F Chang, R Jin, R Liu, G Liu - Green Chemistry, 2018 - pubs.rsc.org
Selective manipulation of carbonyl and alkynyl reductions in conjugated alkynones and
controllable multi-step organic transformations are particularly attractive in green catalysis. In …