基于粒子群算法的生活垃圾高热值成分热解动力学特性研究

以硬纸板、橡胶、松木和尼龙等典型生活垃圾(MSW)成分为研究对象,采用热重分析获得了不同升温速率下(15,40和200℃/min)各成分的热解失重特性。基于各生活垃圾成分失重曲线的特征,分别建立了有限平行反应模型,通过粒子群算法计算相应的动力学参数,并进行了交叉验证。研究表明,对于组成复杂、特性各异的生活垃圾成分,基于粒子群算法的有限平行反应模型既能准确反映各成分热解失重曲线的复杂峰结构,也能有效预测不同升温速率下失重特性的变化。

Kinetic study on MSW components with particle swarm method

Cardboard, rubber, pine wood and nylon were selected as representatives of household wastes, and their pyrolysis characteristics were investigated through thermal gravimetric analysis under different heating rates (15, 40 and 200℃/min). Based on the characteristics of the weightlessness curve of each household garbage component, a finite parallel response model was established, and the corresponding dynamic parameters were calculated by particle swarm algorithm, and cross-validation was performed. The results indicated that the kinetic parameters obtained through PSO could not only accurately reproduce the complex peak distribution of the weight-loss curves, but also effectively predict the alteration of weight-loss characteristics under different heating rates.