CFD-DEM simulation of distribution and agglomeration characteristics of bendable chain-like biomass particles in a fluidized bed reactor. (15th May 2023)
- Record Type:
- Journal Article
- Title:
- CFD-DEM simulation of distribution and agglomeration characteristics of bendable chain-like biomass particles in a fluidized bed reactor. (15th May 2023)
- Main Title:
- CFD-DEM simulation of distribution and agglomeration characteristics of bendable chain-like biomass particles in a fluidized bed reactor
- Authors:
- Gu, Conghui
Zhao, Haichao
Xu, Bingyang
Yang, Junjie
Zhang, Jun
Du, Mingpu
Liu, Yuan
Tikhankin, Dmitriy
Yuan, Zhulin - Abstract:
- Graphical abstract: Agglomeration bendable of chain-like biomass particles and binary images of clusters in the fluidized bed reactor under different gas velocities at τ =1.2s. Highlights: A new bendable chain-like biomass particle model is established to simulate biomass particles. Biomass particles show a spatial distribution of dense lower and upper sparse in fluidized bed. Image method is used to identify the agglomeration of biomass particle clusters. The cluster shape changes from band to triangle with increasing gas velocity. Abstract: Biomass is gradually perceived as an important carbon neutral and renewable energy source. Generally, the pretreatment dehydration of non-spherical biomass particles is a crucial process in biomass production. The effectiveness of moisture removal, however, is directly affected by the fluidization characteristics of particles in drying facilities. In this article, the distribution and agglomeration characteristics of chain-like biomass particles in a fluidized bed were studied according to the coupled model through the computational fluid dynamics-discrete element method. Based on the special structural feature of filamentous biomass particles, a new three-dimensional model of bendable chain-like particle was established. The effects of gas superficial velocity and mass flow rate of biomass particle on the distribution and agglomeration characteristics of chain-like biomass particles were experimentally and numerically investigated. TheGraphical abstract: Agglomeration bendable of chain-like biomass particles and binary images of clusters in the fluidized bed reactor under different gas velocities at τ =1.2s. Highlights: A new bendable chain-like biomass particle model is established to simulate biomass particles. Biomass particles show a spatial distribution of dense lower and upper sparse in fluidized bed. Image method is used to identify the agglomeration of biomass particle clusters. The cluster shape changes from band to triangle with increasing gas velocity. Abstract: Biomass is gradually perceived as an important carbon neutral and renewable energy source. Generally, the pretreatment dehydration of non-spherical biomass particles is a crucial process in biomass production. The effectiveness of moisture removal, however, is directly affected by the fluidization characteristics of particles in drying facilities. In this article, the distribution and agglomeration characteristics of chain-like biomass particles in a fluidized bed were studied according to the coupled model through the computational fluid dynamics-discrete element method. Based on the special structural feature of filamentous biomass particles, a new three-dimensional model of bendable chain-like particle was established. The effects of gas superficial velocity and mass flow rate of biomass particle on the distribution and agglomeration characteristics of chain-like biomass particles were experimentally and numerically investigated. The results demonstrated that the chain-like biomass particles were more likely to agglomerate near the wall and corners due to wall effects, with a maximum of 0.11 % of the volume fraction. The distribution of particle concentration showed an inverted C-shape at the lower cross section. Also, the velocity of biomass particles presented as an open downward parabolic distribution in the radial direction and reached a maximum at the central region. The maximum cluster area of chain-like biomass particles was 73.43 cm 2 under the condition of ug = 5.71 m/s, appearing in the corners and bottom of the fluidized bed. The band-like clusters transformed into irregular triangular clusters gradually with the increase of the gas velocity. As the particle mass flow rate increased, the particle clusters became larger and extended upward along the tube wall. The results will provide valuable information on the mixing processes of non-spherical particles, as well as guidance for the development and optimization of multi-phase drying plants. … (more)
- Is Part Of:
- Fuel. Volume 340(2023)
- Journal:
- Fuel
- Issue:
- Volume 340(2023)
- Issue Display:
- Volume 340, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 340
- Issue:
- 2023
- Issue Sort Value:
- 2023-0340-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-05-15
- Subjects:
- Chain-like biomass particles -- Agglomeration characteristics -- Fluidized bed -- CFD-DEM
Fuel -- Periodicals
Coal -- Periodicals
Coal
Fuel
Periodicals
662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2023.127570 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26002.xml