Modelado y simulación del procesamiento electroquímico de residuos sólidos de poliolefinas mediante tratamiento con...

Creating accurate models to explain the reaction mechanisms in thermochemical processing of solid polyolefins and their derivatives using non-thermal plasma (NTP) technology is crucial for improving recycling and reuse efforts. This area has gained significant attention over the past few decades. The model for polyolefin breakdown involves a mix of complex free radical reactions, along with formal and molecular processes. NTP reactors provide an environment with enhanced reactivity and performance, making them highly efficient for treating solid polyolefins and ideal for producing clean energy and other valuable products from polyolefin waste. Therefore, developing adaptable and precise simulations to identify the best geometric configurations for NTP reactors is key to improving their performance. Utilising various computational techniques and integrating suitable algorithms to build models that meet design goals and predict results offers a cutting-edge approach for engineering applications. Mathematical modelling and cutting-edge computational simulations can enhance themselves by incorporating data and verifying results experimentally, with a focus on linking inputs to anticipated results. This method is crucial in interpreting the mathematical connections among various intricate procedures and actual response circumstances. In this study, a concise overview of new, promising research advances in the treatment of polyolefin waste using NTP has been presented. The subjects covered in this study include i) advancements in various class modelling techniques for analysing and understanding the reaction dynamics of NTP-treated polyolefin wastes, ii) simulation approaches for NTP reactors, and iii) existing challenges and future outlooks. The process can be commercialised due to the potentially high market value of its products, which include chemicals and fuels. Additionally, by creating appropriate models through solving sets of equations and assessing system performances under the complex conditions required for these products, the selectivity of this technology can be enhanced. An immediate requirement exists to summarise the current methods, pinpoint the technological limitations, and outline necessary research in this developing area.