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Abstract 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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Keywords
combustible solid waste
thermochemical characteristic
pseudo-component model
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Issue Date: 15 February 2014
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