Abstract To better understand the biomass waste pyrolysis, a series of thermogravimetric experiments of basswood waste was performed at various heating rates in an inert atmosphere. Two model-free methods including Flynn-Wall-Ozawa (FWO) and Kissinger-Akahria-Sunose (KAS) and one model-fitting method named Coats-Redfern (CR) coupling Shuffled Complex Evolution (SCE) method were used in this work. The pyrolysis behaviors of hemicellulose and cellulose are responsible for the shoulder peak and the main peak. The evolution of activation energy supports the pyrolysis process divided into two regions. The 3D diffusion-Jander model (D3) can be used to describe the pyrolysis process of basswood waste. The optimized kinetic parameters estimated by the SCE algorithm coupled with a three-component parallel reaction scheme. The predicted values match the experimental data well, which shows that the optimized kinetic parameters are potentially promising in evaluating the biomass waste pyrolysis.

中文翻译：

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基于Shuffled Complex Evolution算法的生物质废弃物热解动力学研究

摘要 为了更好地了解生物质废弃物热解过程，在惰性气氛中以不同加热速率对椴木废弃物进行了一系列热重实验。在这项工作中使用了两种无模型方法，包括 Flynn-Wall-Ozawa (FWO) 和 Kissinger-Akahria-Sunose (KAS)，以及一种名为 Coats-Redfern (CR) 耦合 Shuffled Complex Evolution (SCE) 方法的模型拟合方法。半纤维素和纤维素的热解行为负责肩峰和主峰。活化能的演化支持分为两个区域的热解过程。3D 扩散-Jander 模型 (D3) 可用于描述椴木废料的热解过程。通过 SCE 算法估计的优化动力学参数与三组分平行反应方案相结合。