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可燃固体废弃物热化学反应表征探索
Pseudo-component model to predict the thermochemical behaviour of combustible solid waste
该文对20余种典型固体废弃物及组分物质进行了热重分析并依据热重曲线相似度进行分组。基于热重曲线相似度提出了“基元” 表征思想和初步选定的“基元”组。“基元”组对白菜、桔皮、杨树枝和杨树叶的拟合热重曲线关联度在0.92以上。采用模拟垃圾的“基元”组拟合重构城市生活垃圾热重曲线,与模拟垃圾热重曲线吻合较好。结果表明,采用“基元”对可燃固体废弃物进行热化学反应表征是可行的。
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.
combustible solid waste / thermochemical characteristic / pseudo-component model
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