Predefensed_Ratikorn_Sornumpol
description
Transcript of Predefensed_Ratikorn_Sornumpol
Effect of operating parameters in fuel reactor of chemical looping combustion
using computational fluid dynamic simulation
Presented by : Mr. Ratikorn Sornumpol
Advisor : Assoc. Prof. Dr. Pornpote PiumsomboonCo.-Advisor : Asst. Prof. Dr. Benjapon Chalermsinsuwan
Department of Chemical Technology
Chulalongkorn University
MHMK202 , February 26 ,2014
PREDEFENSE
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Contents
INTRODUCTION
EXPERIMENTALS
RESULTS & DISCUSSION
CONCLUSIONS
ON GOING WORKS
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3Fig 1 CO2 emission from energy use continue to rise
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INTRODUCTION
Chemical looping combustion principles
A new process for oxidising fuels using metal oxides as oxygen carriers transporting oxygen from combustion air to fuel
no mixing of combustion air and fuel, combustion products (CO2 and H2O) not diluted by N2
Highly exothermal reactions in air reactor
Fuel reactor is exothermic/endothermic depending on fuel and oxygen carrier
INTRODUCTION
Fig 2 Chemial looping combustion
Air reaction system: 4M + 2O2 → 4MO Fuel reaction system: 4MO + CH4 → 4M + CO2 + 2H2O
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INTRODUCTIONAdvantage of fluidization process
•To base on the energy consumption analysis, it has been found that a fluidized bed mixer offers the most efficient and economical process compared to other mixers.
• High, uniform mass and heat transfer rate
Disadvantage of fluidization process
•High electrical energy needed
•Expensive supplied air systemWhat factor have a significant effects on mixing in
gas-solid ? 5
Problem• There are less data to construct an industrial scale chemical looping reactor. • There is less work being investigated effect of operating condition on hydrodynamic behavior and rate of reduction reaction in fuel reactor.
•The key parameter to enhance rate of conversion is mixing index but there hasn’t none of work to investigate it .
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PROBLEMS
To develop numerical model of bubbling fluidized bed fuel
reactor
To analyze effect of operating condition on hydrodynamic behavior and reduction reaction
in fuel reactor
OBJECTIVES
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INTRODUCTION
MixingHow to evaluate mixing index ??
How to measure distribution of particle in vessel ??
To calculate standard deviation (S) of samples
221 )(....)(
1XXXX
nS n
S = Standard deviation X = A sample value = An average of sample valuen = Number of samplesX
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To create 2-D fuel reactor geometry by using Gambit 2.2.30 To simulate cold flow
model by ANSYS fluent and validate model from
literature of Loha,C. et.alTo build experimental
design and analyze data by using ANOVA
EXPERIMENTAL
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EXPERIMENTALTo simulate cold flow
model by ANSYS fluent
Select Euler-Euler modelDescription value
Particle density 2500 kg/m3Gas density 1.225kg/m3
Mean particle diameter 530 μmRestitution coefficient 0.99
Numerical scheme QUICKSuperficial gas velocity 0.587 m/s
Bed width 0.155 mBed height 0.4 m
Static bed height 0.2mGrid interval spacing 0.005m
Inlet boundary conditions Velocity
Outlet boundary conditions OutfllowTime steps 0.0001
Drag model Gidaspow
Table1 . Set up parameters in numerical model
0.155 m
0.20 m
Outflow
Velocity inlet
To create 2-D fuel reactor geometry by using Gambit
2.2.30
0.40m
Wall
Particle-wall restitution coefficient =0.95
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EXPERIMENTALTo validate model from literature of
Jung. et.al
To build experimental
design and analyze data by using
ANOVA
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RESULT &DISSCUSSIONSGrid independence
study38x50
75x100
150x200
Model validation
Fig 3. Comparison of numerical result and experimental data
Fig 4. Grid independency test
Medium mesh was selected to compute 2D-Cartesian bubbling fluidized bed.
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RESULT &DISSCUSSIONSTime Independency test
2 k Factorial design
The standard deviation of solid volume fraction in axial direction and radial direction is selected to response
parameter.
Fig 5 . Time independency test for overall pressure drop
Table2 . Level of factor parameter in 2 K factorial design
221 )(....)(
1XXXX
nS n
VariableSymb
ol Level Low(-1) High(+1)
Particle diameter A 200 600Aspect ratio of Initial static bed/Diameter
column B 0.5 0.75
Particle density C 1300 2350
Excess fluidization velocity D 1.5Umf 1.75Umf
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RESULT &DISSCUSSIONSTable 3: Summary result of standard deviation of solid volume fraction in radial and axial directions
Treatment A(micron) B(m) C(kg/m3) D(m/s)SD axial direction
SD radial direction
1 200 0.50D 1300 1.5Umf 0.1844 4.29E-05a 600 0.50D 1300 1.5Umf 0.1774 4.51E-04b 200 0.75D 1300 1.5Umf 0.2449 1.17E-03ab 600 0.75D 1300 1.5Umf 0.2334 1.01E-03c 200 0.50D 2350 1.5Umf 0.1846 4.66E-03ac 600 0.50D 2350 1.5Umf 0.1701 5.72E-04bc 200 0.75D 2350 1.5Umf 0.2464 3.94E-03abc 600 0.75D 2350 1.5Umf 0.2235 3.40E-03d 200 0.50D 1300 1.75Umf 0.1800 8.35E-04ad 600 0.50D 1300 1.75Umf 0.1687 3.04E-04bd 200 0.75D 1300 1.75Umf 0.2377 2.17E-03abd 600 0.75D 1300 1.75Umf 0.2223 2.29E-03cd 200 0.50D 2350 1.75Umf 0.1817 1.96E-03acd 600 0.50D 2350 1.75Umf 0.1594 1.67E-03bcd 200 0.75D 2350 1.75Umf 0.2400 6.42E-03abcd 600 0.75D 2350 1.75Umf 0.2072 3.69E-03 14
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RESULT &DISSCUSSIONSEffect of operating conditions on S.D. of solid volume fraction in axial direction
Table 4 :The analysis of variance for standard deviation of solid volume fraction in axial direction.
Source Sum of squares DF Mean square F-Value Prob> F
A 1.18E-03 1 1.18E-03 65.32 < 0.0001
B 0.013 1 0.013 694.97 < 0.0001
D 2.89E-04 1 2.89E-04 15.93 0.0021
AC 1.40E-04 1 1.40E-04 7.73 0.0179
Residual 1.99E-04 11 1.81E-05
Total 0.014 15
In axial direction ,Increasing particle size and fluidization velocity have reduced standard deviation of solid volume fraction in radial direction.
Fig 6 . The effect of different factors on standard deviation in axial direction
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RESULT &DISSCUSSIONSEffect of operating conditions on S.D. of solid volume fraction in radial direction
Table 5: The analysis of variance for standard deviation of solid volume fraction in radial direction.Source Sum of squares DF Mean square F-value Prob> F
A 3.39E-06 1 3.39E-06 55.7442837 0.0175B 1.08E-05 1 1.08E-05 177.299219 0.0056C 1.93E-05 1 1.93E-05 317.520296 0.0031D 1.29E-06 1 1.29E-06 21.1394989 0.0442AB 1.70E-07 1 1.70E-07 2.78668632 0.2370AC 3.09E-06 1 3.09E-06 50.7408562 0.0191BC 6.15E-07 1 6.15E-07 10.1083398 0.0863BD 2.61E-06 1 2.61E-06 42.9032912 0.0225ABC 1.35E-07 1 1.35E-07 2.21574994 0.2750ABD 1.71E-06 1 1.71E-06 28.0415009 0.0339ACD 2.05E-07 1 2.05E-07 3.36772321 0.2079BCD 6.32E-07 1 6.32E-07 10.3912584 0.0843ABCD 3.66E-06 1 3.66E-06 60.1186358 0.0162
Residual 1.22E-07 2 6.09E-08 Total 4.77E-05 15
Fig 7 . The effect of different factors on standard deviation in radial direction
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RESULT &DISSCUSSIONSEffect of operating condition on flow pattern
“ac”
“acd”
Fig 8. Solid volume fraction contours and solid flux vector for ac and acd at 15 sec.
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CONCLUSIONS Three main parameters had the significant effect on mixing in axial direction and all main parameters had the significant effect on mixing in radial direction.
For axial direction , increasing velocity and particle diameter shall be decreased mixing index because increasing of gas velocity caused gross internal circulation .
For radial direction , increasing particle diameter will be decreased mixing index.
From the contour of solid volume fraction at 15 s, adjusting operating parameters to high level such as particle size, particle density and fluidization velocity , the “acd “ case have the lowest S.D. in axial and radial direction .
The mechanism of mixing in bubbling fluidized bed can bed described that the bubble were then generated and coalesced to form larger bubble. It is commonly recognized that solids mixing in a fluidized bed is mainly caused by the movement of bubbles.
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On going works
-To determine kinetic data from literature and simulate hot flow model
- To analyze effect of operating condition on reduction reaction in fuel reactor
ACKNOWLEDGMENT
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THANK YOU FOR YOUR KIND ATTENTION
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Time Independence test
To select 15-25 sec for averaged calculation
0 5 10 15 20 25 30 350
500
1000
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6250cell
Time(sec)
Overa
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101000 102000 103000 1040000
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Absolute pressure_in_axial direction at_Time averged 15-25sec
6500cell13500cell27500cell
Absolute_pressure
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air
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To select 13500cell for simulation
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0 0.05 0.1 0.15 0.2 0.25 0.30
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Time_averaged_solid_volume_fraction_in_axial_direction
Numerical_3D(Paper)6250cell13500cell27000cell
Solid volume fraction
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reacto
rValidation model