Estimation of the kinetic parameters of chlorinated polyvinyl chloride waste pyrolysis by particle swarm optimization |
| |
Authors: | Ang Li Wenlong Zhang Biqing Huang Ru Zhou Juan Zhang Yanming Ding |
| |
Affiliation: | 1. College of Power Engineering, Naval University of Engineering, Wuhan, China;2. Faculty of Engineering, China University of Geosciences, Wuhan, China;3. Jiangsu Key Laboratory of Urban and Industrial Safety, College of Safety Science and Engineering, Nanjing Tech University, Nanjing, China |
| |
Abstract: | 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. |
| |
Keywords: | chlorinated polyvinyl chloride kinetic parameters particle swarm optimization pyrolysis reaction mechanism |
|
|