S
Shuiyu Sun
Researcher at Guangdong University of Technology
Publications - 110
Citations - 2969
Shuiyu Sun is an academic researcher from Guangdong University of Technology. The author has contributed to research in topics: Chemistry & Pyrolysis. The author has an hindex of 25, co-authored 95 publications receiving 1820 citations.
Papers
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Journal ArticleDOI
Thermodynamics and kinetics parameters of co-combustion between sewage sludge and water hyacinth in CO2/O2 atmosphere as biomass to solid biofuel.
Limao Huang,Jingyong Liu,Yao He,Shuiyu Sun,Jiacong Chen,Jian Sun,Ken-Lin Chang,Jiahong Kuo,Xun-an Ning +8 more
TL;DR: Thermodynamics and kinetics of sewage sludge and water hyacinth co-combustion as a blend fuel (SW) for bioenergy production were studied through thermogravimetric analysis.
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Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks
Candie Xie,Jingyong Liu,Xiaochun Zhang,Wuming Xie,Jian Sun,Ken-Lin Chang,Ken-Lin Chang,Jiahong Kuo,Wenhao Xie,Chao Liu,Shuiyu Sun,Musa Buyukada,Fatih Evrendilek +12 more
TL;DR: In this paper, the co-combustion characteristics of textile dyeing sludge (TDS) and pomelo peel (PP) were investigated using a thermogravimetric analysis (TGA) and artificial neural networks.
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Removal of metals from lead-zinc mine tailings using bioleaching and followed by sulfide precipitation
Maoyou Ye,Guojian Li,Pingfang Yan,Jie Ren,Li Zheng,Dajian Han,Shuiyu Sun,Shaosong Huang,Yujian Zhong +8 more
TL;DR: This study investigated metals removal from lead-zinc mine tailings using bioleaching and followed by sulfide precipitation to provide useful information for recovering or removing metals from lead, zinc, and Zn mine tailing.
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Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling
Jiacong Chen,Jingyong Liu,Yao He,Limao Huang,Shuiyu Sun,Jian Sun,Ken-Lin Chang,Jiahong Kuo,Shaosong Huang,Xun-an Ning +9 more
TL;DR: Artificial neural network modeling was applied to thermal data obtained by non-isothermal thermogravimetric analysis (TGA) from room temperature to 1000°C at three different heating rates in air to predict the TG curves of sewage sludge and coffee grounds mixtures and showed that there were interactions between SS and CG, and the impacts were mostly positive.
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Dewaterability of five sewage sludges in Guangzhou conditioned with Fenton's reagent/lime and pilot-scale experiments using ultrahigh pressure filtration system
TL;DR: The results indicated that the specific resistance to filterability (SRF) of sludge was reduced efficiently by approximately 90%, when conditioned with Fenton's reagent and lime, and the economic assessment shows that Fenton’s re agent and lime combined with ultrahigh pressure filtration system can be an economical and viable technology for sewage sludge dewatering.