Investigations on Slags under Gasification Process Conditions
Transcript of Investigations on Slags under Gasification Process Conditions
Zentrum für Innovationskompetenz:
Virtual High Temperature Conversion
Investigations on Slags under Gasification
Process Conditions
Daniel Schwitalla, Arne Bronsch, Stefan Guhl
TU Bergakademie Freiberg - Institute of Energy Process Engineering and Chemical
Engineering - 09596 Freiberg - Germany-Tel. +49 3731 394206- Fax +49 3731 394555
Email [email protected] - Web www.iec.tu-freiberg.de
6th International Freiberg Conference, Dresden Radebeul
1. Motivation
2. Relevant Properties for Modeling Slag Behavior
3. Heat Conductivity
4. Viscosity
1. Experimental Setup
2. Calibration and Validation of Measurements
3. Extended Modeling approach
5. Surface Tension
1. Experimental Setup
2. Measurement Evaluation
6. Outlook
2
Outline
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Motivation
Virtual High Temperature Conversion - Strategy
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Substance
Properties • Experimental
Acquisition
• Database Extraction
• Equilibrium
Calculations
Process Data &
Experimental
Measurement Data
Mathematical Models
Virtualization Process model
Validation
Example Presentation
Subgrid model for slag behaviour at
entrained flow gasifier walls
VTC IPP Group
Properties relevant for modelling slag behavior
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Viscosity Surface
Tension
Density Diffusivity Heat
Capacity
Rotational
Viscosimeter
(searle-type)
(Baehr HT-
viscometer)
Sessile Drop
(Fraunhofer
ISC
Tommiplus,
TOM-AC)
Measurement
of Hydrostatic
Pressure
(Fraunhofer
ISC
Tommiplus +
MBP-Module)
Laser Flash
(Department
of Thermal
Engineering –
TU Freiberg)
Differential
Scanning
Calorimetry
(Setaram
MHTC 96)
Rotational
Viscosimeter
(searle-type)
(AntonPaar
MCR 302)
Maximum
Bubble
Pressure
(Fraunhofer
ISC
Tommiplus+
MBP-Module)
Heat Conductivity
Laser Flash + Calorimetry + MBP
5
Determine
Diffusivity
(Laser Flash)
Density
(Lange et al*)
Heat Capacity
(Mills et al**)
Measurements of the institute of thermal engineering and the applied
models yield realistic values***
** Mills: Estimation of Physicochemical Properties of Coal Slags and Ashes, from ACS symposium series 301: Mineral Matter in Coal an Ash, 1984
* Lange: Densities of Na2O-K2O-CaO-MgO-FeO-Fe2O3-Al2O3-TiO2-SiO2 liquids: New measurements and derived partial molar properties
***Slag Atlas 2nd ed. (2008); SCI Glass Database
𝜆 = 𝑎 ∙ 𝜌 ∙ 𝑐𝑝
0
0,5
1
1,5
2
2,5
0 500 1000
Hea
t C
on
du
ctivity [
W/(
m*K
)
T [°C]
Viscosity
6
Bähr
Viscometer
Anton Paar
MCR 302
Type Rotating (searle) Rotating (searle)
Material PtRh (80/20) PtRh (80/20)
T-Range 400 – 1700 °C 400 – 1800 °C
pO2 – Range 10-22 – 0.21 bar 10-22 – 0.21 bar
Temperature
Mesurement
Type B
Accuracy:
+/- 1,5…4,25 °C
Type B
Accuracy:
+/- 1,5…4,25°C*
+ Inductivity
compensation
Atmosphere CO:CO2/ Air/ N2 CO:CO2/ Air/ N2
Heater High Frequency
Inductive Heater
Separated MoSi2
Resistive Heater
Calibration Standard Oil,
Standard Glass
Standard Oil
Torque 1…50 mNm 10-5…200 mNm
Viscosity
Measurement Principle
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𝜏 =𝑟𝑖2
2𝜋∙𝑙𝑐𝑦𝑙∙1,1∙ 𝑀 ∙ 𝐶*
𝛾 = 2𝜋2𝑟𝑎
2
𝑟𝑎2 − 𝑟𝑖
2 ∙ 𝑛
𝑛,𝑀
𝜂 =𝜏
𝛾
* Calibration Coefficient determined from Standard Glass and Silicon Oil; additional validation of viscosity measurements was achieved in ring-test
1. Ash and slag coal
2. Mill to below 63 µm for homogeinity and XRF
3. Calculate po2 for maximum FeO-Content using
FACTSage™
4. Create gas-atmosphere for calculated po2 (to
simulate gasification atmosphere)
5. Continuously measure torque and turn speed to
calculate viscosity
6. Repeat measurement with different shear rates
Viscosity
Measurement Validation
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Maximum Deviation is 20 %
within accepted Limit**
** Slag Atlas 2nd ed. (2008)
0
10
20
30
40
50
60
70
80
90
100
1300 1400 1500 1600
Vis
co
sit
y [
Pas
]
Temperature [°C]
VTC_a
VTC_b
VTC_c
Siemens_a
Siemens_b
Siemens_c
Siemens_d
IEST_a
IEST_b
IEST_c
IEST_d
* Gas atmosphere was reducing (CO:CO2; Ar:H2)
A ring-test was performed* at:
• CIC Virtuhcon
• Siemens Gasification Test
Center
• Institute of Iron and Steel
Freiberg
Test conditions:
• Reducing atmosphere*
• Different shear rates
Viscosity
• Database with measurements of 770 slags and h(T), 4550 data points from literature
• Own measurements included:
• 38 samples
• 186 measurements (various shear rates, atmospheres)
• 12 slag viscosity models and Einstein-Roscoe Equation, link to FactSage for Solid
Volume Fraction
• Application for prediction of h(T) for a given slag composition:
Slag Viscosity Toolbox*
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Input: slag composition, T-range
search for “referenced slag system” in Database
test of implemented models with reference slag system
Output: prediction of slag viscosity with recommended model
* Duchesne MA, Bronsch AM, Hughes RW, Masset PJ. Slag viscosity modeling toolbox. Fuel 2013.
Viscosity
Modeling approach - Example
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Classical Model
Classical Model
+ ER Model
Classical Model
+ Modified ER
Model
𝜂 = 𝜂𝑙𝑖𝑞 ∙ 1 − 𝑎 ∙ 𝑓 −2,5
𝑎 = 𝑓(𝑠ℎ𝑒𝑎𝑟 𝑟𝑎𝑡𝑒; 𝑠𝑝𝑒𝑐𝑖𝑒𝑠)
Einstein-Roscoe-Equation*
Calculate Solid
Volume Fraction
with FACTSage™
Corundum, Anortite,
Tridymite/Christobalite
systems were selected for
model development
Fails for non-newtonian slag
behavior
Improved Applicability for non-
newtonian region
* Roscoe R: The viscosity of suspensions of rigid spheres 1952
Viscosity
Modeling approach – Model development
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I. Select Particle-Slag-System from the Slag Viscosity Toolbox*
III. Comparison of modeled and measured viscosity data by the Slag Viscosity Toolbox*
II. Perform viscosity measurements on selected slag systems and shear rates
V. Adjust a-factor to model-selected particle system
VI. Validation of adjusted a-factors with referenced systems.
AA
LE
𝐴𝐴𝐿𝐸 =1
𝑛 𝑙𝑜𝑔10 𝜂𝑝𝑖 − 𝑙𝑜𝑔10 𝜂𝑚𝑖
𝑛
𝑖=1
AALE – Average Absolute Logarithmic Error
n – number of data records
𝜂𝑝𝑖 – predicted viscosity value for Ti
𝜂𝑚𝑖 – measured viscosity value for Ti
* Duchesne MA, Bronsch AM, Hughes RW, Masset PJ. Slag viscosity modeling toolbox. Fuel 2012.
IV. Select best fitting classical viscosity model and apply ER
0
10
20
30
40
50
60
70
80
90
100
1300 1350 1400 1450 1500 1550
Vis
co
sit
y i
n P
a s
T in °C
SR=6.7 1/s SR=13.5 1/s SR=20.2 1/S
0
20
40
60
80
100
1300 1350 1400 1450 1500 1550
Vis
co
sit
y i
n P
a s
T in °C
SR=20.2 1/s Streeter
Viscosity
Modeling approach - Example
12
Classical Model
Classical Model
+ ER Model
Classical Model
+ modified ER
model
𝜂 = 𝜂𝑙𝑖𝑞 ∙ 1 − 𝑎 ∙ 𝑓 −2,5
𝑎 = 𝑓(𝒔𝒉𝒆𝒂𝒓 𝒓𝒂𝒕𝒆; 𝒔𝒑𝒆𝒄𝒊𝒆𝒔)
Einstein-Roscoe-Equation**
Calculate Solid
Volume Fraction
with FACTSage™*
0,0
0,1
0,2
0,3
0,4
0,5
0
20
40
60
80
100
1300 1350 1400 1450 1500 1550
So
l. V
ol. F
rac
. f
Vis
co
sit
y i
n P
a s
T in °C
SR=20.2 1/s Streeter Solid Vol-fract
0,0
0,1
0,2
0,3
0,4
0,5
0
20
40
60
80
100
1300 1350 1400 1450 1500 1550
So
l. V
ol. F
rac
. f
Vis
co
sit
y i
n P
a s
T in °C
SR=20.2 1/s Streeter
Streeter +RE, a = 1.35 Solid Vol-fract
0,0
0,1
0,2
0,3
0,4
0,5
0
20
40
60
80
100
1300 1350 1400 1450 1500 1550
So
l. V
ol. F
rac
. f
Vis
co
sit
y i
n P
a s
T in °C
SR=20.2 1/s Streeter
Streeter +RE, a = 1.35 Streeter +RE, a = 1.2
Solid Vol-fract
* currently modelled for solid fractions of anortite, corundum, christobalite/tridymite
** Roscoe R: The viscosity of suspensions of rigid spheres 1952
Surface Tension
13
TOMAC TOMMI
T-Range 400 – 2000 °C 400 – 1700 °C
Temperature
Mesurement
Type B
Thermocouple
Accuracy:
+/- 1,5…4,25 °C
Type B
Thermocouple
Accuracy:
+/- 1,5…4,25°C
Atmosphere N2; Ar; Ar/H2
(95/5)
Air
Heater Graphite
Electrodes
Separated MoSi2
Resistive Heater
Measurement
Principle
Sessile Drop Maximum Bubble
Pressure
Surface Tension
Maximum Bubble Pressure
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1. Ash and slag the coal
2. Calculate liquid volume in the crucible
according to Lange et al
3. Adjust gas flow and immersion depth
accordingly
4. Detect surface inside crucible
5. Continuously measure pressure necessary
for gas flow at 3 immersion depths
6. Derive density and surface tension from
measured pressure curves
0
10
20
30
40
Al2O3 CaO Fe2O3 SiO2
ACSF1 - Composition
Surface Tension
Maximum Bubble pressure – Method
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𝑝𝜎 = 𝑀𝑃 − 𝜌𝑔ℎ𝑖𝑚𝑚𝑒𝑟𝑠𝑖𝑜𝑛
𝜎 =𝑝𝜎∙𝑟𝑐𝑎𝑝
2 1−23
𝑟𝑐𝑎𝑝∙𝜌∙𝑔
𝑝𝜎−16
𝑟𝑐𝑎𝑝∙𝜌∙𝑔
𝑝𝜎
2
0
200
400
600
800
1000
1200
Ma
xim
um
Bu
bb
le
Pre
ss
ure
[P
a]
ACSF1_MBP
ACSF1_5mm
ACSF1_10mm
ACSF1_15mm
Determine Maximum
pressure
Calculate Maximum
bubble pressure
Apply Schrödingers
Correction/assume
hemispherical bubble 0,8455 𝐽
𝑚2
0,4783 𝐽
𝑚2** Hemisphere
Schrödinger
*within 20% of slag atlas & Lange et al; **validated with sessile drop method
𝜎 =𝑝𝜎 ∙ 𝑟𝑐𝑎𝑝
2
Derive density from
different depths of
immersion
𝜌5−10𝑚𝑚 = 𝑀𝑃10𝑚𝑚−𝑀𝑃5𝑚𝑚𝑔 0,01𝑚−0,005𝑚
3395 𝑘𝑔𝑚3*
Outlook
• Expand viscosity measurement database to improve viscosity model
• Validate Viscosity Model for Leucite particles
• Perform High Temperature XRD to confirm FactSage™ results used
in the calculation of the Solid Volume Fraction
• Evaluate possible supercooling effects inside gasifiers through
viscosity measurement at different cooling rates
• Improve MBP measurement system to improve dependability of
derived values for coal ash slags
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TU Bergakademie Freiberg
Institute of Energy Process Engineering and Chemical Engineering
09596 Freiberg - Germany
Tel. +493731-39 4206
Fax +493731-39 4555
Email [email protected]
Web www.iec.tu-freiberg.de
This research has been funded by the Federal Ministry of Education and
Research of Germany in the framework of Virtuhcon (Project Number
03Z2FN12).
Acknowledgment
17