Pseudo-component model to predict the thermochemical behaviour of combustible solid waste
Aihong MENG,Yanqiu LONG,Hui ZHOU,Yanguo ZHANG(),Qinghai LI
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Beijing Key Laboratory for CO2 Utilization and Reduction Technology, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China
More than 20 kinds of typical solid waste and component compounds were analyzed using a thermogravimetric analyzer (TGA). The waste was divided into 6 groups with a pseudo-component model used to re-configurate their mass loss curves. The principal idea of the pseudo-component model was described and used to define the typical pseudo-component model and its groups. The correlation coefficient for Chinese cabbage and its pseudo-components is higher than 0.92 with similar results for orange peels, aspen branches and leaves. The re-configurated TG curves for the pseudo-components fit well with the experimental curves for the solid waste. The results show that the pseudo-component model and its groups can be used to predict the thermochemical behavior of combustible solid waste based on TGA measurements.
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