fully automatized determination of fundamental equations of state...
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![Page 1: Fully automatized determination of Fundamental Equations of State …thet.uni-paderborn.de/.../Vortraege/Cape2015_koester.pdf · 2017. 2. 6. · R. Span, “Multiparameter Equations](https://reader035.vdocument.in/reader035/viewer/2022071218/604f638531706f05a77eb626/html5/thumbnails/1.jpg)
PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Fully automatized determination of
Fundamental Equations of State based on
molecular simulations in the cloud
CAPE Forum
Paderborn, 29.04.2015
Andreas Köster
Tao Jiang
Gábor Rutkai
Colin W. Glass
Jadran Vrabec
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
R. Span, “Multiparameter Equations of State”, Springer, Berlin (2000)
accurate knowledge in entire fluid region : ~10 substances
For pure chemical substances…
satisfactory knowledge : <100 substances
For mixtures…
the knowledge is much worse
Problem: scarce experimental data
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Fundamental equation of state (FEOS) correlation
, ,E N V S
, ,H N p S , ,F N V T , ,G N p T
/ ,1 / ,F T N T V
E
H
F
G
S
V
p
T
N
: internal energy
: enthalpy
: Helmholtz energy
: Gibbs energy
: entropy
: volume
: pressure
: temperature
: particle number
= “explicit function in terms of N, (1/T), and V”
Every thermodynamic property is
a combination of
/
1 /
xyz
x y z
F T
T V N
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
/1 /
1 /
mnm n
mnm n
F RTT A
T
pressure
internal energy
enthalpy
01
pA
RT
10
EA
RT
10 01
HA A
RT
Thermodynamic properties from FEOS
( / )N V
20
vc
AR isochoric heat cap.
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
2
01 11
20
01 022
pA Ac
AR A A
2
201 11
01 02
20
2A AMw
A ART A
01 02 11
2
01 11 20 01 022
A A AR
A A A A A
speed of sound
Joule-Thomson coeff.
isobaric heat cap.
Thermodynamic properties from FEOS
02 01
1
2T
RTA A
isothermal comp.
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Molecular Simulation
Molecular dynamics (MD) Monte Carlo (MC)
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Simulation framework
R. Lustig., Mol. Phys., 110, 3041 (2012).
R. Lustig., Mol. Sim., 37, 457 (2011).
R. Lustig., J. Chem. Phys., 100, 3060 (1994).
A single MD or MC
simulation run per state
point yields:
ms2
C. W. Glass et al., Comp. Phys. Comm., 185, 3302 (2014).
/
1 /
mn
mnm n
F TA
T
p
cv
www.ms-2.de
cp ,w
↓
f(A01, A20, A11, A02)
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Molecular simulation as engineering mainstream tool* (for equilibrium thermodynamic property generation)
*E. J. Maginn, AIChE J., 55, 1304 (2009).
Advantages: - much cheaper than experiment
- faster than experiment (once source code is available)
- several thermodynamic properties simultaneously
- applicable under all conditions
Problems: - dependent on the quality of molecular models
- code development and usage require considerable
expertise
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
i i i i i
N Mt d t d cRe s
i i
i 1 j k 1
, a a exp ...
Cloud-based automatized FEOS fitting
Goals: - target substances/fluid regions for which there are no data
available
- perform the simulation and obtain a FEOS within 24 h
- little human interaction
How: - use simulation data only
- simple fitting approach (linear fit)
(everything else is taken from generalized FEOS)
A
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
User‘s task: - select state points and molecular model
Cloud-based automatized FEOS fitting
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Cloud-based automatized FEOS fitting
Automatized deployment:
- Distribution of simulations to
available High Performance
Computers (HPC) in the
Cloud
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
User‘s task: - select fitting options and check results
Cloud-based automatized FEOS fitting
![Page 13: Fully automatized determination of Fundamental Equations of State …thet.uni-paderborn.de/.../Vortraege/Cape2015_koester.pdf · 2017. 2. 6. · R. Span, “Multiparameter Equations](https://reader035.vdocument.in/reader035/viewer/2022071218/604f638531706f05a77eb626/html5/thumbnails/13.jpg)
PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
~ 300 state points x 9 derivatives (= 2700 measurements)
Cloud-based automatized FEOS fitting
Example: Phosgene (extremely toxic, yet millions of tons produced annually)
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Quality of the FEOS from Simulation (Phosgene)
FEOS : G. Rutkai, J. Vrabec, J. Chem. Eng. Data, submitted.
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Quality of the FEOS from Simulation (Phosgene)
FEOS : G. Rutkai, J. Vrabec, J. Chem. Eng. Data, submitted.
Experiment
Present FEOS
VLE curve from present FEOS
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Quality of the FEOS from Simulation (Ethylene Oxide)
100(
Data
–
FE
OS)
/
Data
100(w
Da
ta –
wF
EO
S)
/ w
Da
ta
p / MPa p / MPa
Experiments
Molecular simulation based FEOS (top plots)
FEOS : A. Köster, T. Jiang, G. Rutkai, Colin W. Glass, J. Vrabec, to be submitted.
Experiment based FEOS, advanced fitting approach (bottom plots)
,
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Molecular simulation data sets
• Useful for FEOS development (cost effective, fast)
• Applicable under all conditions
Cloud-based FEOS fitting
• Enables non-expert users to create FEOS in a matter of days
• Contribution to making molecular simulation more accessible
Outlook
• Creation of force fields may be automatized extending this workflow
Summary
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PROF. DR.-ING. HABIL. JADRAN VRABEC ThET
Thank you for listening!
This project was funded by the European Union