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THE ADVANCED PROCESS MODELING COMPANY 
gSAFT: advanced physical properties for carbon 
© 2014 Process Systems Enterprise Limited 
capture and storage system modelling 
J. Rodriguez, M. Calado, E. Dias, A. Lawal, N. Samsatli, A. 
Ramos, T. Lafitte, J. Fuentes, C. Pantelides 
UKCCSRC Autumn Biannual Meeting 2014 
Cardiff 
10-11 September
Overview 
 gCCS whole-chain system modelling environment 
− ETI’s CCS system modelling tool-kit project 
 Challenges in providing physical properties for the 
systems downstream of the capture plant 
 gSAFT technology 
− Based on a predictive molecular equation of state 
 gSAFT for the compression, transmission and injection 
subsystems within gCCS 
 Application to typical CCS flowsheets 
− Using gCCS libraries 
 Conclusions 
© 2014 Process Systems Enterprise Limited
gCCS whole-chain system modelling 
environment 
ETI’s CCS system modelling tool-kit project 
© 2014 Process Systems Enterprise Limited
The CCS System Modelling Tool-kit Project 
2011-2014 
 Energy Technologies Institute (ETI) 
© 2014 Process Systems Enterprise Limited 
gPROMS modelling 
platform  expertise 
Project 
Management 
− ~$5m project commissioned  
co-funded by the ETI 
− Objective: “end-to-end” CCS modelling tool
gCCS initial scope (2014/Q2) 
 Process models 
− Power generation 
− Conventional: 
pulverised-coal, CCGT 
− Non-conventional: 
oxy-fuelled, IGCC 
− Solvent-based CO2 capture 
− CO2 compression  
liquefaction 
− CO2 transportation 
− CO2 injection in sub-sea 
storage 
© 2014 Process Systems Enterprise Limited 
 Materials models 
− cubic EoS (PR 78) 
− flue gas in power plant 
− Corresponding States Model 
− water/steam streams 
− SAFT-VR SW/ SAFT-g Mie 
− amine-containing streams in 
CO2 capture 
− SAFT-g Mie 
− near-pure post-capture CO2 
streams 
Open architecture allows incorporation of 3rd party models 
5
Physical properties for subsystems downstream 
of the capture plant 
Challenges 
© 2014 Process Systems Enterprise Limited
Physical properties for downstream of the capture plant 
CO2 phase diagram 
Best choices for CO2 
transmission 
 liquid-like density 
 gas-like viscosity 
Physical properties for pure CO2 predicted very accurately by Span  Wagner EoS 
Span, Wagner. A new equation of state for carbon dioxide covering the fluid region from the triple-point 
© 2014 Process Systems Enterprise Limited 
temperature to 1100 K at pressures up to 800 MPa. 
Journal of physical and chemical reference data 25 (1996): 1509.
Physical properties for downstream of the capture plant 
Challenges I: Impurities 
From post-combustion (dry basis): 
CO2 (99%), N2 (0.17%), O2 (0.01%), SOx (10 ppmv), traces of Ar 
From pre-combustion (dry basis): 
CO2 (95.6%), H2S (3.4%), H2 (3%), N2 (0.6%), CO (0.4%), Ar (0.05%), CH4 (350 
ppmv) 
From oxyfuel (dry basis): 
CO2 (74.66%), N2 (15%), Ar (2.5%), O2 (6.15%), SOx (2.5%), traces of CO 
© 2014 Process Systems Enterprise Limited 
…plus H2O 
The presence of impurities significantly affects physical properties 
(densities, phase envelope, critical temperature and pressure,…) 
impact on compressor/pump power, pipeline capacity, 
potential for hydrate formation  two phase flow, 
distance between booster stations…
Physical properties for downstream of the capture plant 
Challenges II: Wide range of conditions 
 Compression subsystem 
− Pressures 
− Inlet 0.5 to 5 bara 
− Outlet 10 to 200 bara 
− Temperatures 
− Inlet 20-41 °C 
− Outlet 40-130 °C 
 Transmission subsystem 
− Pressures 
− 50-200 bara 
− Temperatures 
− -5-40 °C 
© 2014 Process Systems Enterprise Limited 
Compression 
Transmission
Physical properties for downstream of the capture plant 
Challenges III: Limited experimental data 
 Recent literature review of experimental data 
− Li, Hailong, et al. 
PVTxy properties of CO2 mixtures relevant for CO2 capture, transport and 
storage: Review of available experimental data and theoretical models. 
Applied Energy 88.11 (2011): 3567-3579. 
 Limited range of conditions 
 Gaps for several binary mixtures 
− some mixtures (e.g. CO2-SO2) are very corrosive 
experimentation problematic 
 Very scarce data for ternaries and beyond 
Working on solving this 
• Release of experimental data from several projects 
• Experimental plan at University of Nottingham for VLE measurements of near-pure 
CO2 mixtures 
© 2014 Process Systems Enterprise Limited
Physical properties for downstream of the capture plant 
Challenges 
© 2014 Process Systems Enterprise Limited 
 applied to mixtures of 
CO2, CO, H2O, Ar….. 
 small molecules single group each 
 Impurities 
 Wide range of conditions 
 Limited experimental data 
A predictive 
equation of state 
is required
gSAFT 
A commercial implementation of the SAFT-γ Mie 
equation of state 
© 2014 Process Systems Enterprise Limited
gSAFT 
The Statistical Association Fluid Theory I 
 Molecular-based EOS are a very appealing alternative to 
more classical approaches, such as cubic EOS 
 The Statistical Association Fluid Theory (SAFT) is especially 
relevant for its ability to deal with complex fluids 
 SAFT-based EOS are rooted on statistical mechanics, so 
− they involve a limited number of parameters 
− with a clear physical meaning 
− can be fitted to a limited amount of experimental data 
− can predict phase behaviour and physical properties for a wide range of 
conditions, including those far from the ones employed for parameter 
estimation 
© 2014 Process Systems Enterprise Limited
gSAFT 
The Statistical Association Fluid Theory II 
 PSE’s gSAFT is a commercial implementation of one of the 
most advanced SAFT-based EOS 
− SAFT-g Mie, developed by Imperial College London 
 SAFT: Chapman, Gubbins, Jackson, Radosz, Ind. Eng. Chem. Res., 29, 1709 (1990) 
 SAFT-VR: Gil-Villegas, Galindo, Whitehead, Mills, Jackson, Burgess, J. Chem. Phys., 106, 4168 
(1997) 
 SAFT-γ: Lymperiadis, Adjiman, Jackson, Galindo, Fluid Phase Equilib., 274, 85 (2008) 
 SAFT-γ Mie: Papaioannou, Lafitte, Avendaño, Adjiman, Jackson, Muller, Galindo, in preparation 
(2014) 
© 2014 Process Systems Enterprise Limited
gSAFT 
SAFT-γ Mie molecular model 
 Molecules are modelled as chains of spheres 
 Interactions 
− dispersion/repulsion (van der Waals) 
forces 
− hydrogen bonding via off-centre 
electron donor/acceptor 
(“association”) sites 
− ionic (coulombic) forces 
© 2014 Process Systems Enterprise Limited 
( ) 
 l l 
     
s s 
R A 
º e 
   −         
U r C 
r r 
Mie potential 
Increasing strength
gSAFT 
Transferability of parameter values 
© 2014 Process Systems Enterprise Limited 
The values of the interaction parameters 
are assumed to be constant across 
different molecules and mixtures 
in different phases 
under different temperatures, pressures and compositions 
An approximation 
 based on SAFT-g Mie’s fundamental molecular basis 
 supported by practical evidence
gSAFT for near-pure CO2 streams in gCCS 
© 2014 Process Systems Enterprise Limited
gSAFT for compression/transmission in CCS 
The gSAFT Databank 
H2O 
© 2014 Process Systems Enterprise Limited 
H2S 
CO2 
CH3OH 
CH4 
Ar 
H2 
SO2 
O2 
CO N2
gSAFT for compression/transmission in CCS 
Comparisons: Pure CO2 
© 2014 Process Systems Enterprise Limited
gSAFT for compression/transmission in CCS 
Comparisons: Binary mixture H2O + CO2 
© 2014 Process Systems Enterprise Limited 
Isotherms: 
T=323.2 K (red) 
T=333.2 K (yellow) 
T=353.1 K (green) 
CPA: Cubic+Association EoS 
CO2 rich phase
gSAFT for compression/transmission in CCS 
Comparisons: Binary mixture H2O + CO2 
 CO2 rich phase – low temperatures 
© 2014 Process Systems Enterprise Limited
gSAFT for compression/transmission in CCS 
Comparisons: Binary CO2 + impurities 
CO2+CH4 
© 2014 Process Systems Enterprise Limited 
CO2+H2S 
CO2+O2
gSAFT for compression/transmission in CCS 
Predictions: Bubble point of CO2+H2 
© 2014 Process Systems Enterprise Limited
gSAFT for compression/transmission in CCS 
Predictions: CO2+N2 densities 
© 2014 Process Systems Enterprise Limited
University of Nottingham VLE measurements 
Experimental plan 
Dew-point and bubble-point lines for the following mixtures 
Mixture Name Component 1 Component 2 Component 3 x1 x2 x3 
E1 CO2 N2 Ar 0.90 0.05 0.05 
E2 CO2 N2 Ar 0.98 0.01 0.01 
E3 CO2 Ar H2 0.95 0.02 0.03 
 gSAFT predictive accuracy will be tested 
 Specifically two-body interaction assumption 
 gSAFT model parameters will be readjusted if necessary 
© 2014 Process Systems Enterprise Limited
University of Nottingham VLE measurements 
First results 
© 2014 Process Systems Enterprise Limited 
CO2 + N2 (x=0.05 )+ Ar (x=0.05) 
Pure CO2 
Dew-point line
Application to typical CCS compression, 
transmission and injection flowsheets 
Using gCCS libraries 
© 2014 Process Systems Enterprise Limited
Compression 
© 2014 Process Systems Enterprise Limited
gCCS model libraries 
Compression 
ElectricDrive 
SourceCO2 
© 2014 Process Systems Enterprise Limited 
CompressorSection 
Dehydrator CoolerKODrum 
SinkCO2
Transmission  injection 
© 2014 Process Systems Enterprise Limited
gCCS model libraries 
Transmission and Injection 
Emergency 
shutdown 
valve (ESD) 
© 2014 Process Systems Enterprise Limited 
Well 
PipeSegment 
Gate Valve 
CO2 
Flowmeter Distribution 
Vertical Riser 
header 
Choke Valve 
Reservoir 
Wellhead 
connection
Case Study 
Line-packing operation 
 System dynamics 
− Simulating line-packing operation: Sudden valve closure 
© 2014 Process Systems Enterprise Limited 
Warning: Phase 
change identified!
Conclusions 
© 2014 Process Systems Enterprise Limited
Conclusions 
 Providing physical properties for a modelling tool for the 
systems downstream of the capture plant is challenging 
 gSAFT is an implementation of a SAFT equation of state, 
perfectly suited to address these challenges 
− a parameter databank for the relevant components has been 
developed 
− excellent correlations and predictions have been demonstrated 
 gSAFT physical properties are already available within gCCS, 
an “end-to-end” modelling tool for CCS 
− for the simulation of compression/transmission/injection 
flowsheets 
© 2014 Process Systems Enterprise Limited
Acknowledgements 
 ETI Tool-kit development consortium 
− Energy Technologies Institute 
− E.On 
− EdF 
− Rolls-Royce 
− CO2DeepStore 
− E4Tech 
© 2014 Process Systems Enterprise Limited
PSE’s CCS Technology Team 
 Gerardo Sanchis 
− Power plant 
 Mário Calado 
− Compression Systems 
− Capture processes 
 Dr Adekola Lawal 
− Capture processes 
− Transmission  injection 
 Dr Javier Rodríguez 
− Capture processes 
− Physical properties (gSAFT) 
 Dr Tom Laffite 
− Physical properties (gSAFT) 
© 2014 Process Systems Enterprise Limited 
 Dr Nouri Samsatli 
− Power plant 
− Product development 
 Dr Javier Fuentes 
− Software development 
 Alfredo Ramos 
− Technology Manager 
 Mark Matzopoulos 
− Marketing  Business 
Development 
 Prof Costas Pantelides 
− Chief Technologist
World leaders in … 
© 2014 Process Systems Enterprise Limited 
Advanced Process Modelling 
Software  services

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gSAFT: advanced physical properties for carbon capture and storage system modelling - Presentation by Javier Rodriguez at the UKCCSRC Cardiff Biannual Meeting 10-11 September 2014

  • 1. THE ADVANCED PROCESS MODELING COMPANY gSAFT: advanced physical properties for carbon © 2014 Process Systems Enterprise Limited capture and storage system modelling J. Rodriguez, M. Calado, E. Dias, A. Lawal, N. Samsatli, A. Ramos, T. Lafitte, J. Fuentes, C. Pantelides UKCCSRC Autumn Biannual Meeting 2014 Cardiff 10-11 September
  • 2. Overview gCCS whole-chain system modelling environment − ETI’s CCS system modelling tool-kit project Challenges in providing physical properties for the systems downstream of the capture plant gSAFT technology − Based on a predictive molecular equation of state gSAFT for the compression, transmission and injection subsystems within gCCS Application to typical CCS flowsheets − Using gCCS libraries Conclusions © 2014 Process Systems Enterprise Limited
  • 3. gCCS whole-chain system modelling environment ETI’s CCS system modelling tool-kit project © 2014 Process Systems Enterprise Limited
  • 4. The CCS System Modelling Tool-kit Project 2011-2014 Energy Technologies Institute (ETI) © 2014 Process Systems Enterprise Limited gPROMS modelling platform expertise Project Management − ~$5m project commissioned co-funded by the ETI − Objective: “end-to-end” CCS modelling tool
  • 5. gCCS initial scope (2014/Q2) Process models − Power generation − Conventional: pulverised-coal, CCGT − Non-conventional: oxy-fuelled, IGCC − Solvent-based CO2 capture − CO2 compression liquefaction − CO2 transportation − CO2 injection in sub-sea storage © 2014 Process Systems Enterprise Limited Materials models − cubic EoS (PR 78) − flue gas in power plant − Corresponding States Model − water/steam streams − SAFT-VR SW/ SAFT-g Mie − amine-containing streams in CO2 capture − SAFT-g Mie − near-pure post-capture CO2 streams Open architecture allows incorporation of 3rd party models 5
  • 6. Physical properties for subsystems downstream of the capture plant Challenges © 2014 Process Systems Enterprise Limited
  • 7. Physical properties for downstream of the capture plant CO2 phase diagram Best choices for CO2 transmission liquid-like density gas-like viscosity Physical properties for pure CO2 predicted very accurately by Span Wagner EoS Span, Wagner. A new equation of state for carbon dioxide covering the fluid region from the triple-point © 2014 Process Systems Enterprise Limited temperature to 1100 K at pressures up to 800 MPa. Journal of physical and chemical reference data 25 (1996): 1509.
  • 8. Physical properties for downstream of the capture plant Challenges I: Impurities From post-combustion (dry basis): CO2 (99%), N2 (0.17%), O2 (0.01%), SOx (10 ppmv), traces of Ar From pre-combustion (dry basis): CO2 (95.6%), H2S (3.4%), H2 (3%), N2 (0.6%), CO (0.4%), Ar (0.05%), CH4 (350 ppmv) From oxyfuel (dry basis): CO2 (74.66%), N2 (15%), Ar (2.5%), O2 (6.15%), SOx (2.5%), traces of CO © 2014 Process Systems Enterprise Limited …plus H2O The presence of impurities significantly affects physical properties (densities, phase envelope, critical temperature and pressure,…) impact on compressor/pump power, pipeline capacity, potential for hydrate formation two phase flow, distance between booster stations…
  • 9. Physical properties for downstream of the capture plant Challenges II: Wide range of conditions Compression subsystem − Pressures − Inlet 0.5 to 5 bara − Outlet 10 to 200 bara − Temperatures − Inlet 20-41 °C − Outlet 40-130 °C Transmission subsystem − Pressures − 50-200 bara − Temperatures − -5-40 °C © 2014 Process Systems Enterprise Limited Compression Transmission
  • 10. Physical properties for downstream of the capture plant Challenges III: Limited experimental data Recent literature review of experimental data − Li, Hailong, et al. PVTxy properties of CO2 mixtures relevant for CO2 capture, transport and storage: Review of available experimental data and theoretical models. Applied Energy 88.11 (2011): 3567-3579. Limited range of conditions Gaps for several binary mixtures − some mixtures (e.g. CO2-SO2) are very corrosive experimentation problematic Very scarce data for ternaries and beyond Working on solving this • Release of experimental data from several projects • Experimental plan at University of Nottingham for VLE measurements of near-pure CO2 mixtures © 2014 Process Systems Enterprise Limited
  • 11. Physical properties for downstream of the capture plant Challenges © 2014 Process Systems Enterprise Limited applied to mixtures of CO2, CO, H2O, Ar….. small molecules single group each Impurities Wide range of conditions Limited experimental data A predictive equation of state is required
  • 12. gSAFT A commercial implementation of the SAFT-γ Mie equation of state © 2014 Process Systems Enterprise Limited
  • 13. gSAFT The Statistical Association Fluid Theory I Molecular-based EOS are a very appealing alternative to more classical approaches, such as cubic EOS The Statistical Association Fluid Theory (SAFT) is especially relevant for its ability to deal with complex fluids SAFT-based EOS are rooted on statistical mechanics, so − they involve a limited number of parameters − with a clear physical meaning − can be fitted to a limited amount of experimental data − can predict phase behaviour and physical properties for a wide range of conditions, including those far from the ones employed for parameter estimation © 2014 Process Systems Enterprise Limited
  • 14. gSAFT The Statistical Association Fluid Theory II PSE’s gSAFT is a commercial implementation of one of the most advanced SAFT-based EOS − SAFT-g Mie, developed by Imperial College London SAFT: Chapman, Gubbins, Jackson, Radosz, Ind. Eng. Chem. Res., 29, 1709 (1990) SAFT-VR: Gil-Villegas, Galindo, Whitehead, Mills, Jackson, Burgess, J. Chem. Phys., 106, 4168 (1997) SAFT-γ: Lymperiadis, Adjiman, Jackson, Galindo, Fluid Phase Equilib., 274, 85 (2008) SAFT-γ Mie: Papaioannou, Lafitte, Avendaño, Adjiman, Jackson, Muller, Galindo, in preparation (2014) © 2014 Process Systems Enterprise Limited
  • 15. gSAFT SAFT-γ Mie molecular model Molecules are modelled as chains of spheres Interactions − dispersion/repulsion (van der Waals) forces − hydrogen bonding via off-centre electron donor/acceptor (“association”) sites − ionic (coulombic) forces © 2014 Process Systems Enterprise Limited ( )  l l      s s R A º e    −         U r C r r Mie potential Increasing strength
  • 16. gSAFT Transferability of parameter values © 2014 Process Systems Enterprise Limited The values of the interaction parameters are assumed to be constant across different molecules and mixtures in different phases under different temperatures, pressures and compositions An approximation based on SAFT-g Mie’s fundamental molecular basis supported by practical evidence
  • 17. gSAFT for near-pure CO2 streams in gCCS © 2014 Process Systems Enterprise Limited
  • 18. gSAFT for compression/transmission in CCS The gSAFT Databank H2O © 2014 Process Systems Enterprise Limited H2S CO2 CH3OH CH4 Ar H2 SO2 O2 CO N2
  • 19. gSAFT for compression/transmission in CCS Comparisons: Pure CO2 © 2014 Process Systems Enterprise Limited
  • 20. gSAFT for compression/transmission in CCS Comparisons: Binary mixture H2O + CO2 © 2014 Process Systems Enterprise Limited Isotherms: T=323.2 K (red) T=333.2 K (yellow) T=353.1 K (green) CPA: Cubic+Association EoS CO2 rich phase
  • 21. gSAFT for compression/transmission in CCS Comparisons: Binary mixture H2O + CO2 CO2 rich phase – low temperatures © 2014 Process Systems Enterprise Limited
  • 22. gSAFT for compression/transmission in CCS Comparisons: Binary CO2 + impurities CO2+CH4 © 2014 Process Systems Enterprise Limited CO2+H2S CO2+O2
  • 23. gSAFT for compression/transmission in CCS Predictions: Bubble point of CO2+H2 © 2014 Process Systems Enterprise Limited
  • 24. gSAFT for compression/transmission in CCS Predictions: CO2+N2 densities © 2014 Process Systems Enterprise Limited
  • 25. University of Nottingham VLE measurements Experimental plan Dew-point and bubble-point lines for the following mixtures Mixture Name Component 1 Component 2 Component 3 x1 x2 x3 E1 CO2 N2 Ar 0.90 0.05 0.05 E2 CO2 N2 Ar 0.98 0.01 0.01 E3 CO2 Ar H2 0.95 0.02 0.03 gSAFT predictive accuracy will be tested Specifically two-body interaction assumption gSAFT model parameters will be readjusted if necessary © 2014 Process Systems Enterprise Limited
  • 26. University of Nottingham VLE measurements First results © 2014 Process Systems Enterprise Limited CO2 + N2 (x=0.05 )+ Ar (x=0.05) Pure CO2 Dew-point line
  • 27. Application to typical CCS compression, transmission and injection flowsheets Using gCCS libraries © 2014 Process Systems Enterprise Limited
  • 28. Compression © 2014 Process Systems Enterprise Limited
  • 29. gCCS model libraries Compression ElectricDrive SourceCO2 © 2014 Process Systems Enterprise Limited CompressorSection Dehydrator CoolerKODrum SinkCO2
  • 30. Transmission injection © 2014 Process Systems Enterprise Limited
  • 31. gCCS model libraries Transmission and Injection Emergency shutdown valve (ESD) © 2014 Process Systems Enterprise Limited Well PipeSegment Gate Valve CO2 Flowmeter Distribution Vertical Riser header Choke Valve Reservoir Wellhead connection
  • 32. Case Study Line-packing operation System dynamics − Simulating line-packing operation: Sudden valve closure © 2014 Process Systems Enterprise Limited Warning: Phase change identified!
  • 33. Conclusions © 2014 Process Systems Enterprise Limited
  • 34. Conclusions Providing physical properties for a modelling tool for the systems downstream of the capture plant is challenging gSAFT is an implementation of a SAFT equation of state, perfectly suited to address these challenges − a parameter databank for the relevant components has been developed − excellent correlations and predictions have been demonstrated gSAFT physical properties are already available within gCCS, an “end-to-end” modelling tool for CCS − for the simulation of compression/transmission/injection flowsheets © 2014 Process Systems Enterprise Limited
  • 35. Acknowledgements ETI Tool-kit development consortium − Energy Technologies Institute − E.On − EdF − Rolls-Royce − CO2DeepStore − E4Tech © 2014 Process Systems Enterprise Limited
  • 36. PSE’s CCS Technology Team Gerardo Sanchis − Power plant Mário Calado − Compression Systems − Capture processes Dr Adekola Lawal − Capture processes − Transmission injection Dr Javier Rodríguez − Capture processes − Physical properties (gSAFT) Dr Tom Laffite − Physical properties (gSAFT) © 2014 Process Systems Enterprise Limited Dr Nouri Samsatli − Power plant − Product development Dr Javier Fuentes − Software development Alfredo Ramos − Technology Manager Mark Matzopoulos − Marketing Business Development Prof Costas Pantelides − Chief Technologist
  • 37. World leaders in … © 2014 Process Systems Enterprise Limited Advanced Process Modelling Software services