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Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review.
- Source :
-
Energies (19961073) . Dec2023, Vol. 16 Issue 23, p7839. 32p. - Publication Year :
- 2023
-
Abstract
- Pyrolysis, a process for extracting valuable chemicals from waste materials, leverages computational fluid dynamics (CFD) to optimize reactor parameters, thereby enhancing product quality and process efficiency. This review aims to understand the application of CFD in pyrolysis. Initially, the need for pyrolysis and its role in biomass valorization are discussed, and this is followed by an elaboration of the fundamentals of CFD studies in terms of their application to the pyrolysis process. The various CFD simulations and models used to understand product formation are also explained. Pyrolysis is conducted using both conventional and microwave-assisted pyrolysis platforms. Hence, the reaction kinetics, governing model equations, and laws are discussed in the conventional pyrolysis section. In the microwave-assisted pyrolysis section, the importance of wavelength, penetration depth, and microwave conversion efficiencies on the CFD are discussed. This review provides valuable insights to academic researchers on the application of CFD in pyrolysis systems. The modeling of pyrolysis by computational fluid dynamics (CFD) is a complex process due to the implementation of multiple reaction kinetics and physics, high computational cost, and reactor design. These challenges in the modeling of the pyrolysis process are discussed in this paper. Significant solutions that have been used to overcome the challenges are also provided with potential areas of research and development in the future of CFD in pyrolysis. [ABSTRACT FROM AUTHOR]
- Subjects :
- *COMPUTATIONAL fluid dynamics
*PYROLYSIS
*WASTE products
*BIOMASS
*CHEMICAL kinetics
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Volume :
- 16
- Issue :
- 23
- Database :
- Academic Search Index
- Journal :
- Energies (19961073)
- Publication Type :
- Academic Journal
- Accession number :
- 174115713
- Full Text :
- https://doi.org/10.3390/en16237839