Q
QuanHeng Yu
Researcher at South China University of Technology
Publications - 5
Citations - 165
QuanHeng Yu is an academic researcher from South China University of Technology. The author has contributed to research in topics: Combustion & Incineration. The author has an hindex of 5, co-authored 5 publications receiving 106 citations.
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A study of the thermal degradation of six typical municipal waste components in CO2 and N2 atmospheres using TGA-FTIR
TL;DR: In this paper, the authors used a thermogravimetric analyzer (TGA) combined with a Fourier transform infrared (FTIR) spectrometer to study the thermal degradation of six typical municipal solid waste components (tire rubber (TR), recycled polyvinyl chloride pellets (PVC), wood sawdust (WS), paper mixture (PM), kitchen waste (KW) and textile (TE)) in CO2 and N2 atmospheres.
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Study of the pyrolysis of municipal sludge in N2/CO2 atmosphere
TL;DR: In this article, the authors explored pyrolysis characteristics and gaseous product of municipal sludge including dry sample (DS) and wet sample (WS) under different N 2 /CO 2 ratios using TG-FTIR.
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Heavy metal enrichment characteristics in ash of municipal solid waste combustion in CO2/O2 atmosphere.
TL;DR: Replacement of N2 by CO2 did not obviously change the shape of relative enrichment factor (RE) curves and subsequent order of heavy metals, but increased enrichment of these heavy metals in bottom ashes of WS, PM and PVC.
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Effects of sorbents on the heavy metals control during tire rubber and polyethylene combustion in CO2/O2 and N2/O2 atmospheres
TL;DR: In this article, the authors investigated the capture behavior for three heavy metals (Cu, Ni and Zn) during the waste tire rubber (TR) and high density polyethylene (HDPE) combustion in a lab-scale tubular furnace.
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Oxy-fuel combustion characteristics and kinetics of microalgae and its mixture with rice straw using thermogravimetric analysis
TL;DR: In this article, the thermal behavior of rice straw, microalgae, and their mixture was studied by thermogravimetric analysis (TGA), and the prediction of the combustion performance of blends by a weighted sum of individual fuels worked better in low temperatures, while better in an O2/CO2 atmosphere at high temperatures.