Journal of Analytical and Applied Pyrolysis, Journal Year: 2024, Volume and Issue: unknown, P. 106885 - 106885
Published: Nov. 1, 2024
Language: Английский
Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2301 - 2301
Published: March 11, 2024
The pyrolysis of waste tires has been considered a potential sustainable solution in light escalating carbon dioxide emissions. Nevertheless, current research indicates lack comprehensive understanding regarding the movement tire particles single horizontal-axis stirred reactor. This study employed EDEM 2021.2 software to perform numerical simulations reactor, examining impact three main production factors—particle size, feed rate, and central axis speed—on particle motion. By acquiring contact data between reactor walls, we illustrated persistent motion during operation equipment. findings suggest that with rise rotational speed, there is corresponding increase accumulation. In high-speed conditions, interaction wall intensified. level increased by 15.54% (at 3 r/min) 25.66% 5 speed. Furthermore, at an identical larger group surpassed smaller group. Doubling rate led reduction over 10% reaction varying speeds. Through thorough analysis various factors influencing motion, our objective elucidate traits offering crucial theoretical direction technical assistance enhance efficiency ensure secure steady reactors.
Language: Английский
Citations
2
Industrial & Engineering Chemistry Research, Journal Year: 2024, Volume and Issue: 63(28), P. 12688 - 12703
Published: July 4, 2024
To further understand pyrolysis kinetics and sand–plastic binary fluidization behavior in fluidized bed reactors, this study proposed a comprehensive mathematical model for investigating the complex multiphase reaction systems. A neural network-inspired kinetic high-density polyethylene (HDPE) was developed using experimental data obtained from thermogravimetric analyzer (TGA) Pyrolysis-GC-MS (Py-GC-MS) experiments. coarse-grained discrete element method-computational fluid dynamics (DEM-CFD) sand–HDPE mixtures validated with Additionally, multiscale plastic reactor by integrating kinetics, particle-scale model, DEM-CFD simulations. The applied analysis of particle mixing segregation, axial distribution residence time, Lacey index, products. findings contribute to theoretical foundations required design reactors advancement HDPE thermochemical conversion.
Language: Английский
Citations
2
Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8719 - 8719
Published: Oct. 9, 2024
The sustainable utilization of biomass, particularly troublesome waste has become one the pathways to meet urgent demand for providing energy safety and environmental protection. variety biomass hinders design devices systems, which must be highly efficient reliable. Along with technological developments in this field, broad works have been carried out on mathematical modeling processes support optimization decreasing impact systems. This paper aims provide an extensive review various approaches proposed field thermochemical conversion biomass. general focus is pyrolysis gasification, are considered among most beneficial methods utilization. thermal flow issues accompanying fuel conversion, basic governing equations closing relationships, presented regard micro- (single particle) macro-scale (multi-particle) problems, including different (Eulerian, Lagrangian, mixed). data-driven techniques utilizing artificial neural networks machine learning, gaining increasing interest as complementary traditional models, also presented. complexity physicochemical upscaling problem variations discussed. advantages limitations models indicated. Potential options further development area outlined. study shows that efforts towards obtaining reliable predictions process characteristics while preserving reasonable computational efficiency result a methods. These contribute advancing environmentally conscious solutions line global sustainability goals.
Language: Английский
Citations
2
Energies, Journal Year: 2024, Volume and Issue: 17(14), P. 3571 - 3571
Published: July 20, 2024
Nowadays, almost all countries in the world are intensifying their search for locally available energy sources to become independent of external supplies. The production alternative fuels from biomass and waste by thermal treatment or direct use combustion process is still simplest method fast cheap heat production. However, different characteristics these can cause problems operation plants, resulting increased air pollution. Therefore, analysis solid an important issue a practical point view. This work aimed study small-scale reactor using in-house Extended DEM (XDEM) based on mixed Lagrangian–Eulerian approaches. was provided novel, independently developed coupling computational interface. interface allows seamless integration between CFD DEM, improving efficiency accuracy. In addition, significant advances have been made underlying physical models. Within framework, each particle undergoes thermochemical processes, allowing prediction its shape structural changes during heating. Together, contribute more robust reliable simulation tool capable providing detailed insights into complex multi-phase flows granular material behavior. Numerical results were obtained non-typical geometry check influence walls distribution parameters reactor. show that XDEM very good predicting phenomena fuels. particular, it provides information about moving particles undergoing chemical reactions, which difficult obtain measurements.
Language: Английский
Citations
0
Journal of Analytical and Applied Pyrolysis, Journal Year: 2024, Volume and Issue: unknown, P. 106885 - 106885
Published: Nov. 1, 2024
Language: Английский
Citations
0