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Fluidization in Supercritical Water: Heat Transfer between Particle and Supercritical Water

  • Liping Wei and Youjun Lu EMAIL logo
Published/Copyright: April 21, 2018

Abstract

Supercritical water fluidized bed reactor, which is used to gasify biomass and produce hydrogen, is a new member of fluidized bed family. Forced convection heat transfer between supercritical water and particles is a major basic heat transfer mechanism in supercritical water fluidized bed reactor. The object of this paper was to determine the heat transfer characteristics for a forced convection between a spherical particle and supercritical water (SCW) in a range of pressure from 23 to 27 MPa and temperature from 637 to 697 K. A numerical model fully accounting for thermal physical property variation of SCW has been solved using a finite volume method with Reynolds number up to 200. Comparing with constant property flow, high velocity and temperature gradient in the vicinity of the particle surface were observed when the variable thermal physical property of SCW was incorporated in calculation. Based on the numerical results, a correlation that takes into account the large thermal physical property variation was proposed for predicting Nusselt number.

Acknowledgements

This work is currently supported by the National Nature Science Foundation of China (No. 51676158, 91634109), and Key Project of Chinese National Programs for Research and Development (No. 2016YFB0600102)

Nomenclature

C

Constant value

Cd

Drag coefficient

Cp

Special heat [J/(kgK)]

d

Diameter of sphere particle [mm]

H

Height of computed zone [mm]

h

Enthalpy [J/kg]

K

Conductive coefficient [W/(mK)]

n

Coefficient

Nu

Nusselt number

ri

Particle wall grid number

R

Radius of the computed zone [mm]

Ri

Radius grid number of domain

P

Pressure [MPa]

Pe

Peclet number

Pr

Prandtl number

Re

Reynolds number

SCW

Supercritical water

SCWFB

Supercritical water fluidized bed

T

Temperature [K]

u

Velocity [m/s]

x

Constant coefficient

Greek letters

δ

Boundary layer thickness [mm]

η

Kinetic viscosity [m2/s]

μ

Viscosity [Pas]

ρ

Density [kg/m3]

θ

Streamwise angle [degree]

Subscripts

Far field

c

Constant property

f

Viscous coefficient

p

Pressure coefficient

T

Thermal

v

Variable property

w

Wall surface

Appendix

A Tests of grid dependence

The resolution of boundary layer is important at low Reynolds number, but the domain zone has to be large enough to meet the requirement of infinite flow (Kotouč, Bouchet, and Dušek 2008). Table 3 shows the results of numerical testing at a certain condition of particle surface temperature of 657 K and free stream temperature of 647 K at far field. It can be seen from Table 3 that as the domain size rate (H/d) change s from 50 to 75, the resulting change in the values of Cdp, Cdf, Cd and Nu is found to be 0.03 %, 0.06 %, 0.015 %, and 0.029 %. The domain size rate of 75 and the grid of 100 × 2000 are safer for numerical results at Reynolds number of 5. It is found that numerical results of the domain size of 150 and the grid of 100 × 1000 are accurate enough at Reynolds number of 20. Similar testing was carried out systematically at the two flow regime(Re<20 and Re≥20) and similar accuracies of domain size and grid number are obtained for the two domains in their corresponding regimes.

Table 3:

Test of the grid dependence.

ReDomian size rate (H/d)Grid size (ri×Ri)CdpCdvCdNu
525100 × 5002.8626.0018.8643.896
50100 × 10002.4024.7807.1823.425
75100 × 20002.3264.7517.0773.356
2025100 × 5001.0261.8062.8335.149
40100 × 8000.9841.7412.7265.102
50100 × 10000.9791.7172.6975.020
575100 × 20002.3264.7517.0773.356
7580 × 10002.3284.7947.1223.363
7560 × 5002.3604.8097.1703.401
2050100 × 10000.9791.7172.6975.020
5080 × 5000.9881.7192.7075.099
5060 × 3000.9951.7322.7275.116

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Received: 2017-12-21
Revised: 2018-01-10
Accepted: 2018-04-08
Published Online: 2018-04-21

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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