Refinery Planning with an Integrated Model for Fluid Catalytic Cracking (FCC)
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Transcript of Refinery Planning with an Integrated Model for Fluid Catalytic Cracking (FCC)
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2010 Aspen Technology, Inc. All rights reserved
November 2010
Refinery Planning with an Integrated Modelfor Fluid Catalytic Cracking (FCC)
Presented by: Prof. Y. A. Liu, Kiran PashikantiVirginia Tech-Sinopec
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Refinery planning with integrated
FCC modelKiran Pashikanti*
Y.A. Liu**
Yun Shen and Peng Zhang +
Yanhua Qi and Jianzhang Qiu + +
Yushi Chen, Xumei Di and Jianping Wang +++
AspenTech/ SINOPEC Center of Excellence in Process System EngineeringDepartment of Chemical Engineering
Virginia Polytechnic Institute and State University, Blacksburg, VA 24061*Email: [email protected]
; phone: (540) 231-3980**Email: [email protected]; phone : (540) 231-7800
+ SINOPEC Yangzi Petrochemical Corporation, Nanjing+ + SINOPEC Research Institute for Petroleum Processing, Beijing
+++ SINOPEC Petro-Cyber Works Information Technology Co., Ltd. Shanghai
mailto:[email protected]:[email protected] -
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Overview
IntroductionSINOPEC Yangzi (YZ) FCC process
Model development and resultsCase studies: Gasoline yield, feed rate, feed blends
Aspen PIMS LP application
Key business benefitsConclusions
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Yangzi Petrochemical Corporation(SINOPEC)
YangziPetrochemical
Yangzi Refinery Capacity(Current) 9.0 million tons/year 180,722 Barrels/day (BPD)
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YZPC FCC process
UOP one-riser, one-regenerator configuration
115 tons/day (19,000 BPD)
Feeds: VR, VGO, CGOMaximum Gasoline-Diesel(MGD) Process multiplefeed points in FCC riser
Product
T-102REGEN
T-101REACTOR
Lift Gas
Mixed Feed
Dispersion Steam
Lift Gas Steam
Stripping Steam
Steam
Steam
Flue Gas
Air/O 2 Mix
Off-Spec and HN Recycle
VR Vacuum Resid
VGO Vacuum Gas Oil
CGO Coker Gas Oil
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Available process data
Mixed Feed
Partial D-1160 (up to 70%)
Density (kg/m3)
Concarbon (wt%)
Metals (Na, Ni, V, etc.)
SARA (Saturates, Aromatics, Resins, Asphaltenes) (wt%)
Sulfur and Nitrogen
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Available process dataProducts
Yields (flowrate) of key products: Dry gas, LPG, gasoline, diesel,slurry and coke (calculated by difference)
Key properties of liquid products: Density, sulfur content, flashpoint, ASTM D-86 distillation (gasoline and diesel)
Complete lab analysis of gas products with full C3 and C4 molarcompositions
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Contributions
Extend partial distillation curves with log-normal and beta statistical functions
Improves prediction of aromatic kineticlumps (2% - 4% deviation from plantmeasurement)
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Contributions
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Contributions
Standard petroleumcomponent list does not
include thesecomponents
Consistent with plantmeasurements
cis-2-butene
2M-13-C4==
tr2-Pentene
cis2-Pentene
2M-2-butene
3M-1-butene
Cyclopentene
Cyclopentane
Benzene
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Model development
Obtain five months of plant data(Jan-09 to May-09)
Remove extraneous datasetsExtend distillation curves
Model based on Jan-09 dataCalibrate
Validate model continuouslywith updated data sets
Optimization case studiesLP application study
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HYSYS/Refining model
Rigorous Tray-by-Tray simulation ofmain fractionationcolumn
Short-cut separation
with componentsplitter for quickviews of plant cuts
FCC with complete gas plantincluding overheadcompressors, absorbers andstabilizers
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HYSYS/Refining model
Originally developed in 2006.5Updated to 7.0Verified to work well with 7.1
No changes are required from either2006.5 or 7.0
Model must be solved from scratchwhen versions change (5-10 minutes)
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Results:Fractionated product yields
Calibration-case:
LPG shows the largestdeviation (1.5%), so we expectlargest deviations in LPG
Validation-case:
Good agreement with keyplant products (gasoline,diesel)
Dry gas and slurry are notsignificant to the user
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Results (Validation):LPG composition
Model shows good agreementwith measured plant values
NOTE: These values are nottotal yields but thefractionated yields from therigorous de-propanizercolumn
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Results (Validation):Dry gas
Model shows good agreementwith measured plant valuesfor key components C1, C2,C2=
NOTE: These values are nottotal yields but thefractionated yields from therigorous de-C2 column
H2 yields deviate because H2is calculated by difference incalibration
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Results (Validation):ASTM D-86
Prediction of the distillation curvesfor gasoline and diesel are importantto the refinery.
Correlations based on the distillationand density yield flash point andassociated properties.
The model shows good predictionsfor distillation curves (from rigorousfractionation).
Calculated flash point meets refineryspecification target (
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Results (Validation):Density and flash point
HYSYS petroleum componentsaccurately represent the densities ofthe diesel and gasoline product
Refiner is satisfied with the flashpoint prediction. It is consistent withthe refiners own internalcorrelations.
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Results (Validation):Operating temperature profiles
The model is also a guide to help pin-point problems with processequipment.
The prediction of the temperatureprofile is critical for optimizing thecuts from the main fractionator
NOTE: We use rigorous models for allcolumns
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Case Study 1:Gasoline optimization
TypicalOperatingrange (+-5 C)
Maximum Gasoline
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Case Study 2:Feed rate changes
The curve for 540C isbelow that of 510C
because of gasolineovercracking
We expect the curve forthe 540 C ROT here
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Case Study 3:Blending VR with VGO feed
VR = Vacuum Resid VGO = Vacuum Gas Oil
VR is a cheaper feedstock to use and improves profitability
How much VR can we blend with VGO while meeting sulfur limit of stabilizedgasoline?
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Case Study 3:Blending VR with VGO feed
VR = Vacuum Resid VGO = Vacuum Gas Oil
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Case Study 3:Blending VR with VGO feed
VR = Vacuum Resid VGO = Vacuum Gas Oil
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Existing Aspen PIMS tableThe base vector comesfrom averaged yieldsbased on historicaldata (last quarter,2008)
The delta-vectors forSPG (specific gravity),CON (concarbon) andSUL (sulfur) areestimated from plantexperience with thefeed type
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LP-vector generation for PIMS
Historical
Current Plant Data
Create model with HYSYS
Calibrate and validate
Repeat until model isvalidated Apply model for different
simulation cases
ASW
New scenarios:
Increase gasoline production
Change feed rate
Updated PIMS vectors
Reflects refinery operation more accurately
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Linearizing FCC model
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Linearizing FCC model
Use the delta-base utility tool from HYSYS Utilities menu
(Now called Aspen PIMS Support Utility)
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* Gasoline Plan
TEXT BA1 SPG CON SUL
FREE 1 1 1
WBALC1F FCC FEED
WBALHS3 FCC Sour Gas -0.0065 -0.0003 -0.0004 -0.0082
WBALGAS Dry Gas -0.0394 -0.0011 -0.0014 0.0000
WBALFCL LPG after de-Sulfur -0.1740 0.0025 0.0041 0.0000
WBALFCN FCC Gasoline -0.3929 0.0098 0.0081 0.0000
WBALFCD FCC Diesel -0.2899 -0.0057 -0.0033 0.0000
WBALFCR FCC Slurry -0.0381 -0.0032 -0.0038 0.0082
WBALCKE FCC Coke -0.0544 -0.0020 -0.0034 0.0000WBALLOS Loss -0.0048 0.0000 0.0000 0.0000
BA1 SPG CON SUL
-0.00439 0.00068 0.00007 -0.00567
-0.02527 0.00069 0.00033 0.00025
-0.19386 0.02213 0.00271 0.00164
-0.4421 0.09480 0.00621 0.00330
-0.16058 -0.07677 -0.00175 0.00040
-0.11163 -0.10067 -0.00305 -0.00030
-0.06218 0.05913 -0.00453 0.00038
Partial results for a new delta-base-table computed from therigorous model. This tablecorrectly reflects current unitoperation.
The old table consistentlyunderestimates gasoline and LPGyields, thus underestimating theactual product profits . Updated PIMS vectors from Common Model Utility
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Examples of beneficial changes inprocess operations
Improving equilibrium catalyst activity (MAT)from 66% to 68.5% results in more profitable
product distribution (10.2 million RMB/yr),while coke yield remains under 6.5%
Increasing riser outlet/reactor pressure from300 kPa to 310 kPa promotes higher LPG andgasoline yield (3.0 million RMB/yr)
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Economic paybackMillion RMB/yr Million USD/yr
FCC 13.23 1.94
MP HCR 24.36 3.57
HP HCR 7.29 1.07
Reformer 3.46 0.51
Total 48.34 7.08
Through changes in process operations without new investment as identifiedby Apsen HYSYS Petroleum Refining modeling and optimization
Evaluated by SINOPEC ,Yangzi Petrochemical Corporation (March 2010)
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Related work
Our group has also modeled:Catalytic Reformer
High-Pressure HydrocrackerMedium-Pressure Hydrocracker
Complete plant-scale models for YangziPetrochemical Corporation withdownstream fractionations
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Thank you!AspenTech
Steven Dziuk
Darin CampbellGlenn DissingerZhiming Huang
Chau-Chyun ChenVikas DholeJohn Adams
Maurice Jett
SINOPEC
Dai Houliang
Cao XianghongLi DefangPan Xinrong
Guan Xinhu
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Process Modeling (Refining Industry Focus) (EHY102)December 13, 2010 Houston, Texas
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Questions
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Contact Information
Prof Y.A LiuVirginia TechEmail: [email protected]
Kiran PashikantiVirginia TechEmail: [email protected]
Steve Dziuk AspenTech (Aspen HYSYS family Product Manager)Email: [email protected]
Ken Dooley AspenTech (Industry Marketing)Email: [email protected]
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected] -
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Thank you.