4.7 Article

Management of university solid waste in China through gasification technology: An analysis of waste composition and energy potential

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 29, Issue 56, Pages 84191-84205

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-21557-4

Keywords

Waste to energy; Thermochemical treatment; Municipal solid waste; TGA-MS analysis; Hydrogen; Kinetics; Activation energy

Funding

  1. National Science Foundation of China [51776139, 51676138, 51878557]
  2. High Technology Support Project of Tianjin [18ZXSZSF00120]

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This study investigated the composition and energy potential of university solid waste in China. Gasification experiments were conducted on different components of the waste to determine their thermal degradation behavior and gas release. The results showed that lower heating rates were favorable for higher thermal conversion and gas production.
This study explored the composition and energy potential of university solid waste (USW) in China. Five combustible components, namely hard plastics (HP), paper (PP), soft plastics (SP), biomass (BM), and rubber (RB), were screened with the compositions 51%, 29%, 9%, 4%, and 3%, respectively. Each USW sample was gasified using a thermogravimetric analyzer (TGA) coupled with mass spectrometry (MS) at the heating rates of 5, 10, and 15 degrees C/min and a final process temperature of 900 celcius. Thermal weight loss (TG) curves exposed the degradation in the order HP > SP > RB > BM > PP. Derivative thermogravimetric (DTG) peaks revealed that HP, PP, BM, and SP were degraded in three temperature-oriented phases in the range 172-731 degrees C. The RB took an additional phase in the range 584-660 degrees C. Major released gases, H-2, CH4, CO, and CO2, were detected using MS via mass-to-charge (m/z) ratios. Higher H-2 and total gas yield produced in the case of the HP dominated other materials at the lower heating rate of 5 degrees C/min. Validation of data was assessed by equating experimental and calculated curves; therefore, the regression coefficient (R-2) ranged between 0.884 and 0.997. The kinetics of the process were estimated by applying the Flynn-Wall-Ozawa (FWO) model at the conversion rates (alpha) of 0.2, 0.5, and 0.8, which presented reasonable results. Overall, the lower heating rates supported higher thermal conversion and a high quantity of gaseous products for all the components.

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