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Estimation of Water of Constitution in Chinese Coals Using...
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Estimation of Water of Constitution in Chinese Coals Using Mineral
Liberation AnalysisMartin Gräbner a
Edward Lester b
7th International Freiberg/Inner Mongolia Conferenc e - Coal Conversion and SyngasHuhhot, Inner Mongolia, China | June 7-11 2015
a Air Liquide Forschung & Entwicklung GmbH | Frankfurt Research & Technology Center | Germany b Department of Chemical and Environmental Engineerin g | The University of Nottingham | United Kingdom
Outline
Background and MotivationAir Liquide’s CoAL gasification R&D program
Lurgi FBDBTM Mk PlusTM development
Chinese coals & impact of minerals
Kaolinite in coal
ExperimentalSelection of experimental techniques
Sample selection
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Sample selection
Reference case for verification
Results and Discussion
Results of mineral liberation analysis (MLA)
Calculation of ash from mineral matter
Comparison of MLA vs. XRF ash composition
Analysis of the results
Conclusions
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Air Liquide‘s CoAL Gasification R&D Program
Feedstock characterization
� Coal lab with large coal database of 50 years operation experience
� Detailed standard test program
� Proprietary tests tailored to FBDB, coal test development
Support to Lurgi FBDB Mk+ development
� Development of experimental equipment
� Innovation towards reduced environmental footprint
� High-pressure reactivity
� Kinetic gasification model
Co-product analysis and valorization
� Tar, oil, naphtha characterization,
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� Tar, oil, naphtha characterization, prediction and utilization
� Optimization of co-product processing units
� Ash and slag valorization
Beyond the lab…
� World wide network of academic partners
Support to operation
� Coal blending
� Ash and slag behavior
Lurgi FBDBTM Mk PlusTM Gasification
Reactor Temperature Profile
Typical FBDBGas Composition
H 38%
Feedstock� Low value coals (high
ash & moisture) � Direct use of coarse
coal � No drying, milling or
washing required
Decomposition of minerals
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source KIT
High Thermal Efficiency � Hot syngas is drying the coal� Hot ash is preheating the blast
Advantages� Energy efficient gasification of:� High ash coals with high AFTs� Coals with high moisture content � High concentration of CH4in the syngas
H2 38%
CO 22%
CO2 28%
CH4 12%
High Value Co-Products � Tar, Oil, Naphtha � Phenol & Ammonia
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Chinese coals & impact of minerals
Higher-rank coals can show high contents of clay minerals [1,2]:
North China: Carboniferous-Permian coals with elevated clay content (kaolinite) [3]
� Daqingshan coal from Inner Mongolia
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Problems:
� Significant content of water of constitution � devolatilization at 500-600°C
� Large bias in proximate and ultimate analyses (inorganic O+H)
� Correction required: key design figures for Lurgi FBDB coal gasification
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� Daqingshan coal from Inner Mongolia
� Taiyan coal of Tongchuan area
� Datong coal area of Shanxi
Kaolinite in coal
Characteristics of coal with high kaolinite in mineral fraction:� 13.95% theoretical mass loss [2]
� Shiny white ash and very high ash fluid temperature
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�kaolinite-rich coals are very suitable for fixed-bed dry-bottom coal gasification
e.g. Coal with 20 wt%(d) ash originating from 100% kaolinite can have a bias of 2.9 %-pts in oxygen (by difference) only from kaolinite water
� TASK: Quantify kaolinite content in a coal sample!
Selection of experimental technique
Technique Limitation
Petrographic Analysis
• Resolution limited to several microns [4]• Only well crystallized minerals visible, density assignment
required [5]
XRD • General identification of clay crystals possible• No easy quantification due to maceral matrix, nature of clay
XRF • Ash composition in the oxide state requires ashing• Assignment of Al2O3 and SiO2 to the correct clay mineral
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2 3 2
DTA/TGA • Coal pyrolysis products overlap with release of clay water• Alternative: ashing at <370°C required before analysis [6]
SEM with EDX/BSE
• Mineral Liberation Analysis procedure (identification of coal particles in polished cut, detection of elemental composition of each particle, use minerals database and assign density)
XRD: X-ray diffraction, XRF: X-ray fluorescence, DTA: Differential thermal analysis, TGA: thermogravimetric analysis, SEM: scanning electron microscopy, EDX: energy dispersive X-ray spectroscopy , BSE: back-scattered electron detector
Sample selection
Objective: Evaluate applicability of MLA for estimating the maximum bias in elemental and ultimate analysis caused by water of constitution
Sample ID Coal Rank
Ash content
Mean Vitrinite
ReflectanceStdev of mean
reflectance Vitrinite LiptiniteTotal
inertiniteVisible
mineralsASTM wt%(wf) % % area-% area-% area-% area-%
CC1-BLignite and sub-
bituminous A16.3 0.36 0.10 26.8 1.6 64.8 6.8
CC2-U Sub-bituminous B 39.6 0.47 0.04 19.6 7.2 45.6 27.6
CC2-W Sub-bituminous B 17.3 0.47 0.03 25.2 8.6 53.4 12.8
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CC3-A Sub-bituminous A 24.9 0.49 0.04 31.8 6.6 44.2 17.4
CC3-B Sub-bituminous A 19.8 0.50 0.03 38.0 8.6 42.8 10.6
Three Chinese Coals (CC):� CC1 = coal blend (B) of lignite and clay-bearing sub-bituminous A coal
� CC2 = sub-bituminous B coal, (U = unwashed, W = washed coal)
� CC3 = sub-bituminous A coal, (A and B = different strata from same deposit)
Reference case for verification
wt%Unwashed CC2-U Washed CC2-W
Raw dataWater
correctionDelta Raw data
Water correction
Delta
Proximate waf dmmf waf dmmfA (wf) 39.45 17.26
Selection of CC2: � Heaviest sinks >95% kaolinite � XRF oxide composition used to estimate water of
constitution � calculation of dry-mineral-matter-free basis (dmmf)
� Organic phase before and after washing should be of equivalent dmmf composition
600
700
800
900
1000
92
94
96
98
100
Te
mp
era
ture
(°C
)
Ma
ss (
%)
Mass
Temperature
14.56% kaolinite
water and
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VM 40.0 33.4 -6.6 35.2 32.9 -2.3FC 60.0 66.6 +6.6 64.8 66.1 +2.3
Ultimate waf dmmf waf dmmfC 73.41 80.95 +7.54 78.11 79.86 +1.75H 5.11 4.49 -0.62 4.64 4.50 -0.14O 19.09 11.92 -7.17 14.96 13.29 -1.66N 1.20 1.33 +0.13 1.26 1.29 +0.03S 1.19 1.31 +0.12 1.03 1.06 +0.03
Heaviest sinks from washing for TGA
0
100
200
300
400
500
80
82
84
86
88
90
0 500 1000 1500 2000 2500 3000 3500 4000
Te
mp
era
ture
(
Ma
ss (
%)
Time (s)
water and
organic VM
Pyroclastic kaolinite-tonstein
CC2-U ash: SiO2 47.7 wt%, Al2O3 46.8 wt% CC2-W ash: SiO2 35.0 wt%, Al2O3: 49.9 wt%
MLA Results - Images
CC1-B CC2-U CC3-A
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CC1-B CC2-U
CC2-W
CC3-A
CC3-B
MLA Results – Mineral fractions
CC1-B CC2-U CC2-W CC3-A CC3-BSpecies Formula wt% wt% wt% wt% wt%Muscovite K2O3·Al 2O3·6SiO2·2H2O 23.5 0.3 0.1 0.1 0.2Kaolinite Al2O3·2SiO2·2H2O 20.6 95.2 95.9 96.8 85.8Quartz SiO2 10.8 1.7 0.1 0.2 0.2Hematite Fe2O3 28.2 0.0 0.0 0.0 0.1Pyrite FeS2 3.7 2.1 2.1 1.4 5.1Calcite CaCO3 5.1 0.6 1.8 1.4 8.5
Detected mineral fractions on coal-free basis:
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Siderit FeCO3 1.2 0.0 0.0 0.0 0.1Albite Na2O·Al 2O3·6SiO2 0.7 0.0 0.0 0.0 0.0Orthoclase K2O·Al 2O3·6SiO2 1.2 0.1 0.0 0.0 0.0Dolomite CaCO3·MgCO3 4.4 0.0 0.0 0.0 0.0Ankerite CaCO3·FeCO3 0.7 0.0 0.0 0.0 0.0
CC1-B: divers minerals mainly hematite, muscovite, kaolinite, quartz (blend!)CC2-U/W: high kaolinite content, quartz removed by washingCC3-A/B: kaolinite content is high; pyrite and calcite increased for CC3-B
Calculation of ash from mineral matter
Species Decomposition reaction Mass loss Temperature [1,2]Muscovite K2O3·Al2O3·6SiO2·2H2O � K2O·3Al2O3·6SiO2 + 2 H2O -4.5% 450-700°CKaolinite Al2O3·2SiO2·2H2O � Al2O3·2SiO2 + 2 H2O -14.0% 400-600°CQuartz SiO2 � SiO2 0.0% noneHematite Fe2O3 � Fe2O3 0.0% nonePyrite 2 FeS2 + 7.5 O2 � Fe2O3 + 4 SO3 -33.5%* oxidationCalcite CaCO3 � CaO + CO2 -44.0% 920°C**
Decomposition mechanism of detected minerals:
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Siderit 2 FeCO3 + 0.5 O2 � Fe2O3 + 2 CO2 -31.1% 580°C + oxidationAlbite Na2O·Al2O3·6SiO2 � Na2O·Al2O3·6SiO2 0.0% noneOrthoclase K2O·Al2O3·6SiO2 � K2O·Al2O3·6SiO2 0.0% noneDolomite CaCO3·MgCO3 � CaO·MgO + 2 CO2 -47.7% 780 and 920°CAnkerite 2 CaCO3·FeCO3 + 0.5 O2 � 2 CaO + Fe2O3 + 4 CO2 -37.1% 700°C* Without SO3 capture in ash (otherwise +37.1%), **does not apply to proximate analysis conditions
� Conditions according to ultimate analysis (oxidizing atmosphere, >1000°C) [7]
� Sulfur retention in ash balanced according to availability of calcinated lime or dolomite (e.g. CaO + SO3 � CaSO4)
Comparison of MLA vs. XRF ash composition
CC1-B CC2-U CC2-W CC3-A CC3-Bwt% wt% wt% wt% wt%
MLA XRF MLA XRF MLA XRF MLA XRF MLA XRFSiO2 34.0 43.9 53.6 47.7 51.8 35.0 52.4 45.2 45.0 38.8Fe2O3 33.4 7.5 1.7 1.5 1.6 2.2 1.1 1.2 3.9 3.1Al2O3 18.5 15.7 43.8 46.8 43.8 49.9 44.3 47.6 38.0 46.9CaO 4.6 17.1 0.4 1.4 1.2 3.7 0.9 2.1 5.3 4.9MgO 1.0 4.4 0.0 0.14 0.0 0.33 0.0 0.3 0.0 0.4Na O 0.1 0.9 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.2
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Na2O 0.1 0.9 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.2K2O 3.1 1.4 0.1 0.23 0.0 0.19 0.0 0.2 0.0 0.3SO3 5.2 7 0.5 0.82 1.6 2.5 1.3 1.2 7.6 3.4
� MLA systematically over-estimates SiO2 while Al2O3 is lower vs. XRF
� Greater deviations for the CC1 (esp. Fe2O3 and CaCO3) and for CC2-W washed coal mainly for SiO2.
� MLA is less confident due to density assignment
Analysis of the results
CC2-U CC2-W
wafuncorr.
dmmfMLA
dmmfXRF
wafuncorr.
dmmfMLA
dmmfXRF
C 73.41 83.41 80.95 78.11 81.10 79.86
H 5.10 4.53 4.49 4.65 4.45 4.50
O 19.10 10.16 11.92 14.94 12.20 13.29
N 1.20 1.37 1.33 1.26 1.31 1.29S 1.19 0.52 1.31 1.03 0.94 1.06
Since the organic matrix should be equivalent for CC2 and CC3, the quality of the correction can be assessed.
� CC2: Differences in dmmf ultimate analyses are greater for the MLA correction than for the XRF correction.
� For CC3 the corrections are similar.
CC3-A CC3-B
waf uncorr.
dmmfMLA
dmmfXRF
wafuncorr.
dmmfMLA
dmmfXRF
C 77.65 82.28 81.31 78.25 81.52 80.56
H 4.55 4.21 4.24 4.44 4.26 4.25
O 15.54 11.23 12.09 14.69 11.48 12.49
N 1.15 1.22 1.21 1.20 1.25 1.23S 1.11 1.06 1.16 1.43 1.49 1.47
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Delta to uncorrected Delta to uncorrected
C -10.0 -7.54 -2.99 -1.75
H +0.57 +0.62 +0.19 +0.14O +8.93 +7.17 +2.75 +1.66
N -0.16 -0.12 -0.05 -0.03
S +0.66 -0.12 +0.10 -0.02
� For CC3 the corrections are similar.
� XRF data more precise due to very homogeneous ash (~95% kaolinite, no other clays)
Delta to uncorrected Delta to uncorrected
C -4.63 -3.65 -3.27 -2.32
H 0.34 0.31 0.18 0.20O 4.31 3.45 3.20 2.20
N -0.07 -0.05 -0.05 -0.04
S 0.05 -0.05 -0.07 -0.04
Conclusion
� MLA data can be used to quantify the water of constitution by theoretical ashing.
� Correction of ultimate analysis ranges between 1.7 and 8.9 wt% for oxygen (using MLA and XRF data)
� The MLA can provide deeper insights into the mineral structure of the coal and can help to estimate the clay content in the minerals fraction
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References
References:(1) Gräbner, M.: Industrial Coal Gasification Technologies
Covering Baseline and High-Ash Coal, Wiley-VCH Verlag GmbH, ISBN 978-3-527-33-690-6, 2014
(2) Gumz, W.; Kirsch, H.; Mackowsky, M.T.: Schlackenkunde: Untersuchungen über die Minerale und die Auswirkungen im Kesselbetrieb, Springer, 1958
(3) Shuli, D.; Qinfu, L.; Mingzhen, W.: Study of kaoliniterock in coal bearing stratum, North China, ProcediaEarth and Planetary Science 1, p. 1024-1028, 2009
(4) Stach, Erich: Stach’s Textbook of Coal Petrology, 3rd Edition, 535pp, Lubrecht & Cramer Ltd; 3 Sub edition,
Air Liquide, world leader in gases for industry, health and the environmentResearch & Development16 2013
Edition, 535pp, Lubrecht & Cramer Ltd; 3 Sub edition, 1982
(5) Davis, Alan: Petrographic determination of the composition of binary coal blends, International Journal of Coal Geology, Volume 44, Issues 3–4, Pages 325-338, 2000
(6) Australia Standards, Higher rank coal – mineral matter and water of constitution, Australian Standard 1038 Part 22, pp. 20, 2000
(7) ASTM D-388, Standard practice for ultimate analysis of coal and coke, West Conshohocken, PA, 2009
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