Estimation of the kinetic parameters of chlorinated polyvinyl chloride waste pyrolysis by particle swarm optimization

被引:5
|
作者
Li, Ang [1 ]
Zhang, Wenlong [2 ]
Huang, Biqing [2 ]
Zhou, Ru [3 ]
Zhang, Juan [2 ]
Ding, Yanming [2 ]
机构
[1] Naval Univ Engn, Coll Power Engn, Wuhan, Peoples R China
[2] China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China
[3] Nanjing Tech Univ, Coll Safety Sci & Engn, Jiangsu Key Lab Urban & Ind Safety, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
chlorinated polyvinyl chloride; kinetic parameters; particle swarm optimization; pyrolysis; reaction mechanism; POLY(VINYL CHLORIDE); THERMAL-DECOMPOSITION; ACTIVATION-ENERGY; HEATING RATE; BIOMASS PYROLYSIS; DEGRADATION; COMPUTATIONS; POLYSTYRENE; TEMPERATURE; COMBUSTION;
D O I
10.1002/vnl.21841
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Chlorinated polyvinyl chloride (CPVC) is a widely-used material in various fields with excellent properties. However, CPVC waste is one of the most intractable solids to dispose of. With the development of pyrolysis technology, some advantages have been exhibited, for example, it is flexible to convert solid waste into clean products by pyrolysis, which can be used as energy. Therefore, pyrolysis is considered as an effective method to dispose of solid waste. Especially, kinetic parameters are significant for pyrolysis, which contributes to reactor design and waste management. To better apply the kinetic parameters of CPVC to dispose of waste, thermogravimetric experiments were conducted to obtain the kinetic parameters and establish the reaction mechanism. The Tang, distributed activation energy model, and Advanced Vyazovkin methods were used to calculate the activation energy, and the reaction order was obtained by the Coats-Redfern method. The results showed that the reaction consisted of two stages, and the average activation energy of the corresponding stage was 153.27 and 290.55 kJ/mol, respectively. However, the abovementioned parameters by traditional methods were not enough to characterize the whole pyrolysis behaviors, then the obtained kinetic parameters were further optimized and extra parameters were computed by the Particle Swarm Optimization algorithm.
引用
收藏
页码:666 / 676
页数:11
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