redefine fcc catalyst testing for advanced technical
TRANSCRIPT
Redefine FCC catalyst testing foradvanced technical service
support in new markets
Dr. Marius Kirchmann, Dr. Alfred Haas
10. December 2020
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MDU: an enabling technology to FCC catalyst testing
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
FCC
Introduction
Catalyst
Deactivation
Analytics /
Workflow /
Lab 4.0
Kinetic
Modelling
Catalyst
TestingCase Studies
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Fluid Catalytic Cracking (FCC)Overview
• 500 FCC units worldwide
• Main conversion technology for bottom of the barrel (VGO /
Resid)
• Main products are gasoline, distillates and LPG
• Catalyst market of ~ 3$ billion
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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steam
steam
Fluid Catalytic Cracking (FCC)Lab test requirements
Products
Feed
Cat
alys
tTes
ting
Feed Ni, V
Products
Fresh Cat Make-up
ECat
Fresh Cat
DCat
CatalystD
eactivation
~20% steam
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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steam
steam
Fluid Catalytic Cracking (FCC)Lab test requirements
Products
Feed
Cat
alys
tTes
ting
Feed Ni, V
Products
Fresh Cat Make-up
ECat
Fresh Cat
DCat
CatalystD
eactivation
~20% steam
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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FCC catalyst testingOverview on lab methods
MDU ACECRU
Catalyst
Feed
Cracking count / day
• 3-5 kg
• ~30l / day
• 2-3
• 30-150 g (dep. on C/O)
• <10 ml
• Up to 18
• 7g
• <10 ml
• Up to 18
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FCC catalyst testingOverview on lab methods
MDU ACECRU
• Entrained flow • Entrained flow • Fixed-fluidized bed
N2
N2
N2
Reactor regime
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FCC catalyst testingContact time
MDU ACECRU
Time on feed
Contact time gas
Contact time catalyst
• Continuous
• 1.5-5s
• 1.5-5s + slip factor
• 60s
• 0.5-4s
• 0.5-4s – slip factor
• 30-60s
• 2s
• 30-60s
N2
N2
N2
Contac t
T ime
1.5 -5s
Contac t
T ime
0.5 -4s
O i l Con tac t
T ime
2s
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FCC catalyst testingTemperature
MDU ACECRU
• 700°C → ROT • 700°C → DOT (ROT) • Isothermal
N2
N2
N2
700°C
ROT
530°C
DOT
530°C
700°C
ROT
530°C
Temperature gradient
Implications
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FCC catalyst testingCoke gradient
MDU ACECRU
• Gradient
• Constant (fresh)
• Gradient
• Constant (fresh)
• Fully back-mixed
• Increases during TOS
• Activity changes / averaging
N2
N2
N2
High
High*Low
Reg
Reg
Low
High
Coke
CoC during feed contact
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FCC catalyst testingCoke profiles
MDU ACECRU
• T Gradient • T Gradient
N2
N2
N2
High
HighLowLow
RegReg
Reg
Low
HighK
ine
tic
co
ke
1 .50
1 .25
1 .00
0.75
0 .50
0 .25
010 2 3 4 5 6 7 8
Cata lyst contact t ime
matr ix
zeol i te
En
tra
ine
dfl
ow
En
tra
ine
dfl
ow
• Fully back-mixed
• Increases during TOS
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
Lucas Doraz io , J i an Sh i , James Fu , Junmei Wei , CP Ke l ka r , Abs t rac t NAM 2018
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Micro Downflow Unit (MDU)Technology
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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MDUNew generation
• Up to 18 C/O measurements per day
• Flexible feedstocks:
• VGO / Resid with CRC’s 0-10% (15%)
• Crude Oil
• Lighter feeds (naphtha, gas)
• C/O: 3 to 50 (100)
• Pressure: 0.5 to 3.5 barg
• Reactor temperature: up to 700°C
• Catalyst temperature: up to 900°C
• Variable stripping efficiency
• Cost effective (operation, catalyst, feedstock)
• Fully automated lab system
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MDUSimplified process scheme
Part ic le recovery
• Fast exchange of 6 cata lyst conta iners
Liquid recovery
• Fast exchange of 6 t raps
Par t ic le dosage
• Thermal reservour
• Var iable cato i l
Downf low reactor
• Mult ip le heat ing zones
• Short contact t ime 0.5-4s
Feed dosage
• Precise dosage of broad
range of feedstocks
Gas recovery
• Volume col lect ion
• Onl ine GC
SolidsLiquidsGases
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MDUTemperature control
N2
Temperature (°C)
500 600 700 800 900400
CatT = 700°C
ROT = 530°C
TOS 1s 10s 15-60s
N2
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MDUTemperature control
N2
Temperature (°C)
500 600 700 800 900400
CatT = 900°C
TOS 1s 10s 15-60s
ROT = 530°C
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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MDUSummary
• „Nothing is constant in FCC“
• Gradients exist in temperature, partial pressure, coke,
…
• Entrained flow reactors (CRU, MDU) resemble the
commercial process
• MDU
• Cost efficient and fast testing in laboratory scale
• Flexibility to access broad parameter space and feeds
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MDUApplications
Classical FCC Petrochemicals Crude Oil to Chemicals Sustainable Processes
• Catalysts / additives
• Process optimization
• Feed testing
• Catalysts / additives
• Process optimization
• Pyrolysis (CPP)
• Alternative feeds
• Naphtha (Petroriser)
• Resid
• Propane (PDH)
• Methanol
• Catalysts / additives
• Process optimization
• Pyrolysis
• Biogenic feeds
• Sugar conversion
• Pyrolysis oi l ( i .e co-
processing)
• Circular economy
• Plastics
• Pyrolysis
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1 2 3 4
1 picture © Avigator Fortuner/shutterstock
² picture © Aunging /shutterstock
³ picture © Thaiview /shutterstock4 picture © kram-9 /shutterstock
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steam
steam
FCCProcess / test requirements
Products
Feed
Cat
alys
tTes
ting
Feed Ni, V
Products
Fresh Cat Make-up
ECat
Fresh Cat
DCat
CatalystD
eactivation
~20% steam
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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steam
steam
FCCProcess / test requirements
Products
Feed
Cat
alys
tTes
ting
Feed Ni, V
Products
Fresh Cat Make-up
ECat
Fresh Cat
DCat
CatalystD
eactivation
~20% steam
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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Catalyst deactivationOptions to deactivate fresh FCC catalysts
Hydrothermal Steaming (HT) Cyclic Propylene Steaming (CPS) Cyclic Metals Deactivation (CMD)
• No metals impregnation
• Hydrothermal steaming
• Metals deposition by separate
impregnation step (MM / SI)
• Redox-cycles with SO2 / C3=
• Hydrothermal steaming
• Metals deposition by cracking
spiked VGO on catalyst (crack-on)
• Redox-cycles with Air
• Hydrothermal steaming
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
1United States Patent Application 201901345892Stockwell, Ind. Eng. Chem. Res. 2015, 54, 22, 5921–5934
3 picture © sandsun/shutterstock4 picture © Przemyslaw Ceynowa /shutterstock
5 picture ©NikolayN/shutterstock
3 4 5
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Catalyst deactivationMarket Survey
„The majority of the oil refining companies are using only CMDU to accurately deactivate catalysts and predict
closer the commercial performance“
MM: Mitchell method (wet impregnation), HT: Hydrothermal (steaming), SI: Spray Impregnation, CMD: Cyclic Metals Deactivation
Worldwide survey by BASF
CMD
60%CPS
35%HT
5%
MethodMetals deposition /
distribution
Deactivation /
conditioningMetals activity
MM + HT
MM + CPS ✓
SI + CPS ✓ ✓
CMD ✓ ✓ (✓)
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Catalyst deactivationLarge scale deactivation unit
• Joint development and construction of multi-purpose deactivation unit with BASF
• Up to 5 kg of catalyst / batch
• Hydrothermal steaming, CPS or CMDU
• Dual-vessel design (patent pending)1
• Continuous age distribution method (CADM)2
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
1United States Patent Application 201901345892Stockwell, Ind. Eng. Chem. Res. 2015, 54, 22, 5921–5934
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Catalyst deactivation Medium scale deactivation unit
• Scale-down of multi-purpose deactivation unit
• Up to 1 kg of catalyst / batch
• Hydrothermal steaming, CPS or CMDU
• Dual-vessel design (patent pending)1
• Continuous age distribution method (CADM)2
Deact ivation
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
1United States Patent Application 201901345892Stockwell, Ind. Eng. Chem. Res. 2015, 54, 22, 5921–5934
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Catalyst deactivation Full workflow from catalyst deactivation to catalyst testing
MDU
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
Deact ivation
Deact ivation
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Catalyst deactivation Full workflow from catalyst deactivation to catalyst testing
MDUDeactivation
• Same process control (hteControl4) with high
flexibility
• Same database (myhte4)
• Deactivation parameters / procedures
• Catalyst characterization data
• Performance data
• Easy calculation and visualization of structure-
performance relationsships
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AnalyticsMethods for FCC product analysis
VGO
Coke
Drygas
Gasol ine
LPG
LCO
HCO
FCC
Products Base AnalysesEduct
Coke analysis
Online GC < C7
SimDist
Add. Analysis
PIANO / RON
2D-GC <600°C
Development
30°C
220°C
350°C
750°CCCR
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Data evaluationIntegrated workflow / Lab 4.0
Spent catalystSyncrudes
<<
<<
wt%
coke
Prozess dataOnline GC
FeedCatalyst
SimDis t
PIANO / RON
SimDis t
SARAMeta ls
BET
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
<<
<<
<<
<<
<<
<<
<<
<<
1 2
1 p i c t u r e © N i k o l a y N / s h u t t e r s t o c k2 p i c t u r e © F a b l o k / s h u t t e r s t o c k
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Floor 1: Catalyst testingLab 4.0 for fluid catalyst testing
MDU 3MDU 2 MDU 1
Aging
MDU 4
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P P
APar
Catalytic cracking modelling in MDUKinetic model
• Collaboration with A. Corma, ITQ
• 11 product lumps
• 39 parameters
• Non-isothermal
• Catalytic and thermal cracking
Coke
Gasoline
C1/C2
C3/C4
C2=
C3=
C4=
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Catalytic cracking modelling in MDUParametric studies
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
~6s
~2s
3 .5s Ref
~6s
~2s
3 .5s
Prediction by kinetic modelExperimental data / DoE
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Catalytic cracking modelling in MDUParametric studies @ constant catoil
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Catalytic cracking modelling in MDUSummary
• 11 lump kinetic model for detailed yield
calculation
• MDU to determine and validate kinetic
constants and activation energies by well
defined and flexible parameter space
• Kinetic model to optimize yield distribution
• Potential: kinetic input for computational
particle fluid dynamic (CPFD) or reactor
modelling
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
Peter Blaser, CPFD, BASF FCC Conference 2019, Lisbon
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Case studies
Case 1 Case 2 Case 3
MDU vs. ACE vs. CRU
ECat
Standard VGO / low CCR
MDU vs. DCR
ECat / Additives
Standard VGO / low CCR
MDU vs. Commercial RFCC
ECat
Resid / CCR = 4 wt%
NA
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Case studies
MDU vs. ACE vs. CRU
ECat
Standard VGO / low CCR
• Parameter space
CRU
~6s
~2s
3 .5s
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
Case 1
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Case 1Results vs. conversion
H i g h e r C / O
Yield distr ibution of
CRU and MDU match
well
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Case 1Results vs. conversion
Yield distr ibution of
CRU and MDU match
well at constant conv
Best condit ion
identif ied by paramter
variat ion
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Case 1Summary
• Yield distribution of CRU at constant
conversion / coke closely resembled by MDU
• Same conditions as in CRU directly obtained
the same yield pattern
• Broad C/O, conversion and coke range
accessible
• Kinetic model by Corma describes the yields
and parameter variations quite well
• Parameter space
CRU
~6s
~2s
3 .5s
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Case studies
MDU vs. ACE vs. CRU
ECat
Standard VGO / low CCR
MDU vs. DCR
ECat / Additives
Standard VGO / low CCR
MDU vs. Commercial RFCC
ECat
Resid / CCR = 4 wt%
NA
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Case 1 Case 2 Case 3
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Case 2 w/ Phillips 66MDU vs. DCR
De
lta
Co
nv
ers
ion
(%)
Base Feed change Cata l ys t change
• Delta conversion @ constant catoil = 7.5
2
0
-2
-4
-6
-8
-10
DCR MDU
• Delta yields @ constant conversion = 73%
De
lta
Yie
lds
(%)
3
2
1
0
-1
-2
-3Coke H 2 DryGas LPG Naphtha LCO Slur ry
DCR MDU
• Comparison of MDU / DCR at same conditions → no optimization of MDU
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Case 2 w/ Phillips 66Overview
• „MDU tends to match pilot plant
cracking conversions at higher CTO“
• „MDU yields closely resemble those of
the DCR unit for the step changes in
this study“
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
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Case studies
MDU vs. ACE vs. CRU
ECat
Standard VGO / low CCR
MDU vs. DCR
ECat / Additives
Standard VGO / low CCR
MDU vs. Commercial RFCC
ECat
Resid / CCR = 4 wt%
NA
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
Case 1 Case 2 Case 3
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Case 3Overview
• Target
• Achieve same yield distribution as RFCCU @
constant coke
• Feed
• Atmospheric resid
• 4 wt% CCR
• 0.5 wt% sulfur
• 13 wt% with BP > 745°C
• Catalyst
• eCat
RFCCU
• Parameter space
~6s
~2s
3 .5s
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Case 3Yield distribution RFCCU
Yield distr ibution
provided by customer
at constant coke of
7.94 wt%
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Case 3Yield distribution RFCCU and MDU results
MDU
MDU
MDU MDUMDU
MDU
MDU
MDUMDU
Accessible yield
distr ibution in MDU
by changing:
Catalyst T
Reactor T
Pressure
Residence t ime
Di lut ion
98±2%
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Case 3Yield distribution RFCCU and MDU results
Closest yield
distr ibution
Catalyst T: 700°C
Reactor T: 560°C
Pressure: 1.86 bar
Residence t ime: 3.5 s
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Case 3Interpolation @ constant conversion / coke
@ Conversion = 68.2% @ Coke = 7.94wt%
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U
MD
U
RF
CC
U MD
U
RF
CC
U
MD
U
RF
CC
U
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Case 3Summary
• Yield distribution of commercial RFCCU at
constant conversion / coke closely resembled
by variation of parameter space in MDU
• Higher reactor temperature needed to reach
reaction progress to LPG at shorter reactor
length
• Close reaction kinetics of bottoms to gasoline
to LPG
• Thermal cracking / wall effects increase
drygas yields
RFCCU
• Parameter space
~6s
~2s
3 .5s
MDU
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SummaryMDU
• Provides laboratory test at reasonable costs
• Enables tech service support and supports R&D in multiple
areas by offering:
• Broad accessible parameter space
• Flexible feed supply
• Detailed product analysis
• Operates in a digital lab 4.0 environment
• Delivers input for kinetic modelling
• Simulates commercial yield distributions
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PeopleFCC team
FCC Team
BBTC MENA & ME-CAT 2020, 8-10 December 2020, Kirchmann et al.
hte
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