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Title: Extension of a coarse grained particle method to simulate heat transfer in fluidized beds

Journal Article · · International Journal of Heat and Mass Transfer
 [1];  [1];  [2];  [1]
  1. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  2. National Energy Technology Lab. (NETL), Morgantown, WV (United States); AECOM, Morgantown, WV (United States)

The heat transfer in a gas-solids fluidized bed is simulated with computational fluid dynamic-discrete element method (CFD-DEM) and coarse grained particle method (CGPM). In CGPM fewer numerical particles and their collisions are tracked by lumping several real particles into a computational parcel. Here, the assumption is that the real particles inside a coarse grained particle (CGP) are made from same species and share identical physical properties including density, diameter and temperature. The parcel-fluid convection term in CGPM is calculated using the same method as in DEM. For all other heat transfer mechanisms, we derive in this study mathematical expressions that relate the new heat transfer terms for CGPM to those traditionally derived in DEM. This newly derived CGPM model is verified and validated by comparing the results with CFD-DEM simulation results and experiment data. The numerical results compare well with experimental data for both hydrodynamics and temperature profiles. Finally, the proposed CGPM model can be used for fast and accurate simulations of heat transfer in large scale gas-solids fluidized beds.

Research Organization:
National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States). In-house Research
Sponsoring Organization:
USDOE
OSTI ID:
1402455
Alternate ID(s):
OSTI ID: 1397099
Report Number(s):
NETL-PUB-20845; PII: S0017931016333129
Journal Information:
International Journal of Heat and Mass Transfer, Vol. 111, Issue C; ISSN 0017-9310
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 72 works
Citation information provided by
Web of Science

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Cited By (2)

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation journal February 2018
Coarse grained computational fluid dynamic simulation of sands and biomass fluidization with a hybrid drag journal November 2019