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IMPROVEMENT OF MOLTEN JET FRAGMENTATION
MODELING IN MAAP
ERMSAR 2017, Warsaw, PolandMay 16-18, 2017
A. Le Belguet, E. Beuzet, M. Torkhani
PERICLES, Nuclear Safety and Fuel Cycle
Contact: [email protected]
| 2
INTRODUCTION
Context
Many experimental and theoretical studies performed on corium jet fragmentation in water…
But still some uncertainties and lack of knowledge
MAAP(version 5.02-EDF) (Modular Accident Analysis Program)
Integral code developed by Fauske & Associates, LLC to simulate of an overall SA sequence
Adapted to French PWRs and co-developed by EDF
Jet fragmentation mechanism taken into account in MAAP
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
Hypothetical severe accident
in a PWR
Core degradationand meltformation
Fuel-CoolantInteraction
(in or ex-vessel)
Corium jet break-up and droplet
formation
MFCI consequences ?
Goal of the present work
Improve jet fragmentation modeling to reduce MAAP conservatism regarding pressurization and melt fragmentation
Provide some developments in the code using MAAP5.02a version
| 3
OUTLINE
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
1. INTRODUCTION
2. TWO-PHASE FLOW AND PARTICLE SEDIMENTATION
TWO-PHASE FLOW: AMBIENT PROPERTIES
PARTICLE SEDIMENTATION: A NEW EVALUATION OF THE DRAG COEFFICIENT
3. EVALUATION OF VAPOR PRODUCTION RATE
HEAT TRANSFER IN FILM BOILING REGIME
HEAT PARTITION AND VAPOR PRODUCTION
VAPOR CONDENSATION
4. A NEW EVALUATION OF THE SIZE OF CORIUM PARTICLES RESULTING FROM JET FRAGMENTATION
5. FARO TESTS SIMULATION
6. CONCLUSIONS AND PERSPECTIVES
| 5
TWO-PHASE FLOW: AMBIENT PROPERTIES
Physical properties (density, viscosity) : involved in the evaluation of jet fragmentation, as well as the size and the sedimentation of corium debris
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
MFCI
Water heat-up
Vaporproduction
Intense if ΔTsub small
Increase of local αV
Physical properties : density and viscosity
Two-phase mixture MAAP
ρa = αVρV(Tsat) + (1-αV)ρL(TL)
μa = αVμV (Tsat) + (1-αV)μL(TL)
ρa = ρL(TL)
μa = μL(TL)
Ambient properties accounting for αV
implemented in MAAP
| 6
PARTICLE SEDIMENTATION: A NEW EVALUATION OF THE DRAG
COEFFICIENT (1/2) Drag force FD: impact on debris sedimentation and cooling
The drag coefficient CD depends on:
the shape and size of the element: here a sphere
the fluid in which this element falls: here liquid water and/or steam
the flow regime (laminar or turbulent) Reynolds number Re
the boiling regime Tp > or < TMFB
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
Dp
2
paD CAUρ2
1F
In MAAP:CD = 1.0
C.T. Crowe, Multiphase Flow Handbook, CRC Press, September 2005 I.U. Vakarelski et al, Leidenfrost vapour layer moderation of the drag crisis and trajectories of superhydrophobic and hydrophilic spheres falling in water, The Royal
Society of Chemistry, Soft Matter, 10, 5662-5668, 2014
| 7
PARTICLE SEDIMENTATION: A NEW EVALUATION OF THE DRAG
COEFFICIENT (2/2) New evaluation of CD proposed and implemented in MAAP
MAAP reproduces correctly experimental results, either in the film boiling regime or not, as long as Re is lower than 106. Beyond that value, no data enable to predict CD.
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
0,0
0,2
0,4
0,6
0,8
1,0
1,2
1E+01 1E+02 1E+03 1E+04 1E+05 1E+06 1E+07
Dra
g co
effi
cien
t, C
D
Reynolds number, ReMAAP - No vapor film MAAP - With a vapor film
[6] No vapor film (exp.) [6] With a vapor film (extrapolation)
[6] Hydrophilic spheres-No vapor film [6] Superhydrophobic spheres-With a vapor film
[8] Exp. Results-No vapor film
| 9
CONTEXT
During MFCI, vapor production rate around particles evaluated according to :
heat lost by corium debris: Qc
heat transferred from liquid-vapor interface to coolant: Qcl
In MAAP: modeling of heat transfer and steam generation based on a simplified (but conservative) approach
Improvements suggested for a more physically consistent modeling.
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
| 10
HEAT TRANSFER IN FILM BOILING REGIME
Heat transfer between corium and the surroundings: mainly in film boiling, particularly for low subcooling and high superheat
Evaluation of forced convection in film boiling regime Qconv and radiative heat transfer Qrad:
Qc = Qconv + J Qrad with J = 7/8
In MAAP: Qc based on corium enthalpy change from the jet temperature Tj to the final particle temperature Tp
Evaluation of Qconv: based on Epstein-Hauser correlation (used in MC3D)
Evaluation of Qrad assuming that:
Heated surface and the L-V interface = two plane-parallel plate at respectively Tpm and Tsat
Corium: opaque and gray body, steam: transparent, water: black body
Liquid and vapor properties:
In MAAP: evaluated at TL and Tsat
Use of mean temperatures: TLm = (TL + Tsat)/2 and TVm = (TL + Tj)/2
Expected to have a significant impact on convective heat transfer but steam tables in MAAP do not allow to reach such temperatures
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
| 11
HEAT PARTITION AND VAPOR PRODUCTION
Heat partition during MFCI
Evaluation of Qcl proposed in MAAP
Whitaker’s correlation: forced convection correlation around a solid sphere at the temperature Tsat
Considering that 90% of the radiative heat transfer from corium particles are devoted to heat up water, while the remaining 10% are absorbed at the liquid-vapor interface to produce vapor
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
Heat lost by corium particles
Water heat-up Qcl
Vaporproduction
Qcv
c
cl
c
cvcv
Q
Q1
Q
QF
Heat partition Fcv
Qc = Qcv + Qcl
| 12
VAPOR CONDENSATION
Vapor produced around corium particle:
Flows upward in water
Condensates in the surroundings, depending on water subcooling, vapor superheat and flow rate
In MAAP: vapor condensation considered through the use of the Jakob number Ja:
Accounts for the temperature variation of entrained water, with no phase change
Not consistent with vapor condensation through convective heat transfer between possibly superheated vapor and water
Void fraction: user-defined parameter involved in Fcv calculation
New evaluation of vapor bubble condensation
Evaluation of Qcond using Whitaker’s correlation (forced convection heat transfer around a solid sphere)
Evaluation of Fcv considering vapor condensation in water:
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
Ja1FF cv
*
cv
fgg
wsatw,pw
hρ
TTcρJa
c
condcl
c
condcvcv
Q
QQ1
Q
QQF
| 14
SIZE OF CORIUM PARTICLES RESULTING FROM JET FRAGMENTATION
In MAAP: the particle diameter Dp assumed to be at least:
the capillary length in case of gravity pour
the stable particle diameter defined as a function of the critical Weber number in case of a hydrodynamic fragmentation
A new correlation of Dp in MAAP: Namiech’s correlation
Corium particles stripped from the jet as it penetrates water
Namiech’s model: focus on the erosion process (particles part of the counter-current vapor flow surrounding the jet)
Particle diameter only accounts for primary fragmentation, without considering secondary fragmentation
Particle diameter evaluated from the derived correlation
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
| 16
FARO EXPERIMENT
Large-scale experimental program dedicated to MFCI analysis and quenching behavior under both in- and ex-vessel severe accident conditions
Prototypical corium poured by gravity into a pool of saturated or subcooled water
Water mass: 330 kg - 719 kg
Corium mass: 39 kg - 177 kg
Initial jet diameter: 50 mm - 100 mm
Water subcooling: 0 K - 122 K
Consistent information on jet fragmentation and premixing (12 tests)
L-28 and L-31 tests selected: saturated vs. subcooled conditions
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
| 17
FARO L-28 TEST SIMULATION
FARO L-28 calculation without modification, compared to experimental data
Pressure: 17% higher
Overestimation of gas temperature (~ 75 K) and of water temperature (to a lesser extent)
Final particle size: good agreement with the mean diameter of collected debris
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
5,0E+05
8,0E+05
1,1E+06
1,4E+06
1,7E+06
2,0E+06
0 1 2 3 4 5 6 7 8
Pre
ssu
re (
Pa)
Time (s)
Exp. data
Reference
400
425
450
475
500
0 1 2 3 4 5 6 7 8W
ate
r te
mp
era
ture
(K
)Time (s)
Pressure (Pa) Water temperature (K)
| 18
FARO L-28 TEST SIMULATION
When considering developments (at TV = Tsat):
Pressure: largely underestimated (~ 44%), as well as
Water temperature: also underestimated (~ 32 K)
Particle size (Namiech’s correlation): correct order of magnitude (20% higher)
Secondary fragmentation, not accounted for in Namiech’s correlation
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
5,0E+05
8,0E+05
1,1E+06
1,4E+06
1,7E+06
2,0E+06
0 1 2 3 4 5 6 7 8
Pre
ssu
re (
Pa)
Time (s)
Exp. data
Reference
Modified
400
425
450
475
500
0 1 2 3 4 5 6 7 8W
ate
r te
mp
era
ture
(K
)
Time (s)
Pressure (Pa) Water temperature (K)
| 19
FARO L-28 TEST SIMULATION
Vapor properties involved in heat transfer calculation evaluated at Tsat
≠ Vapor film temperature around corium particles: much higher, at TVm
Significant impact on convective heat transfer
New calculation considering TVm: extrapolation of steam tables in MAAP: hV, ρV + λV, cp,V
Improvement of pressure and water temperature prediction
Importance of having steam tables valid for a wider temperature range in MAAP
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
5,0E+05
8,0E+05
1,1E+06
1,4E+06
1,7E+06
2,0E+06
0 1 2 3 4 5 6 7 8
Pre
ssu
re (
Pa)
Time (s)
Exp. data
Reference
Modified
Modified+VaporProperties
400
425
450
475
500
0 1 2 3 4 5 6 7 8W
ate
r te
mp
era
ture
(K
)
Time (s)
Pressure (Pa) Water temperature (K)
| 21
CONCLUSIONS AND PERSPECTIVES
Developments carried out in MAAP5.02-EDF to improve jet fragmentation modeling:
Sedimentation of corium debris in two-phase flow: ambient properties, drag coefficient depending on turbulence and on water boiling regime
Heat transfer between melt and the surroundings: film boiling heat transfer, vapor production, steam condensation
Debris size: implementation of Namiech’s correlation for primary jet fragmentation with no adjustment parameter nor arbitrary critical Weber number
More physical consistency in MAAP modeling, avoiding the use of user-defined parameters
FARO L-28 and L-31 simulations with MAAP5.02-EDF
With the developments: computed pressure and water temperature underestimated
BUT improvement when considering steam properties at a more physical temperature, i.e. the vapor film temperature, instead of saturation conditions
Need for steam tables in MAAP to be valid for a wider temperature range
Further improvements identified such as:
Extending steam tables validity in MAAP
Improving debris size and corium oxydation modeling
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
| 23
FARO EXPERIMENT
Large-scale experimental program dedicated to MFCI analysis and quenching behavior under both in- and ex-vessel severe accident conditions
Prototypical corium poured by gravity into a pool of saturated or subcooled water
Water mass: 330 kg - 719 kg
Corium mass: 39 kg - 177 kg
Initial jet diameter: 50 mm - 100 mm
Water subcooling: 0 K - 122 K
Consistent information on jet fragmentation and premixing (12 tests)
L-28 and L-31 tests selected: saturated vs. subcooled conditions
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
| 24
FARO L-28 TEST SIMULATION
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
5,0E+05
8,0E+05
1,1E+06
1,4E+06
1,7E+06
2,0E+06
0 1 2 3 4 5 6 7 8
Pre
ssu
re (
Pa)
Time (s)
Exp. data
Reference
Modified
Modified+VaporProperties
400
425
450
475
500
0 1 2 3 4 5 6 7 8
Wat
er
tem
pe
ratu
re (
K)
Time (s)
Pressure (Pa) Water temperature (K)
400
450
500
550
600
0 1 2 3 4 5 6 7 8
Gas
te
mp
era
ture
(K
)
Time (s)
0,0E+00
1,0E-03
2,0E-03
3,0E-03
4,0E-03
5,0E-03
0 1 2 3 4 5 6 7 8
Par
ticl
e d
iam
ete
r (m
)
Time (s)
Particle diameter (m) Gas temperature (K)
| 25
FARO L-31 TEST SIMULATION
Improvement of molten jet fragmentation modeling in MAAP | 16/05/2017
Pressure (Pa) Water temperature (K)
Particle diameter (m) Gas temperature (K)
1,8E+05
2,0E+05
2,2E+05
2,4E+05
2,6E+05
2,8E+05
0 1 2 3 4 5 6
Pre
ssu
re (
Pa)
Time (s)
Exp. Data
Reference
Modified
280
320
360
400
440
480
0 1 2 3 4 5 6
Gas
te
mp
era
ture
(K
)
Time (s)
280
300
320
340
360
380
0 1 2 3 4 5 6
Wat
er
tem
pe
ratu
re (
K)
Time (s)
0,0E+00
1,0E-03
2,0E-03
3,0E-03
4,0E-03
5,0E-03
0 1 2 3 4 5 6
Par
ticl
e d
iam
ete
r (m
)
Time (s)