Title: Recommendations for the MOX fuel conductivity and heat transfer correlations to be used in the XT-ADS design and safety calculations
1Recommendations for the MOX fuel conductivity and
heat transfer correlations to be used in the
XT-ADS design and safety calculations
- D. Struwe, W. Pfrang
- Forschungszentrum Karlsruhe
- Institut für Reaktorsicherheit
- D. Sruwe, W. Pfrang Recommendation for the fuel
conductivity of the MOX fuel to be used for the
XT-ADS - core design
(December 2006) - W. Pfrang, D. Struwe Assessment of correlations
for the heat transfer to the coolant necessary
for heavy - liquid metal
cooled core designs (May 2007)
2Correlations for the MOX fuel conductivity
- MOX fuel conductivity is dependent on
- - temperature,
- - porosity,
- - oxygen to
metal ratio and - - burn-up
- Correlations of special interest here are the
following ones - - the Duriez-correlation with the LUCUTA
model for burn-up - - the Duriez-NFI correlation used in the
FRAPCON-3 code, - - the mod. Martin correlations used in the
CABRI project - - the correlations of Philipponneau used in
the EFR project. - (Fast Reactor Data Manual, issue 1, Nov.
1990 consistent - with Del 3.4 Version 1.0 of the AFTRA
project)
3Correlations for the MOX fuel conductivity
Burn-up correction factor of the fuel thermal conductivity correlations of Lucuta and Duriez-mod NFI mod (FRAPCON) for different temperatures over burn-up qualified for LWR fuels
4Correlations for the MOX fuel conductivity
Burn-up correction factor of the fuel thermal conductivity correlations of SAS4A mod. Martin and Duriez-mod NFI mod (FRAPCON) for different temperatures over burn-up qualified for fast reactor or LWR fuels respectively
5Correlations for the MOX fuel conductivity
Porosity correction factor of the fuel thermal conductivity correlations SAS4A mod. Martin, Lucuta and Philipponneau over porosity qualified for fast reactor and And LWR fuels respectively
6Correlations for the MOX fuel conductivity
- Temperature dependence of green fuel
Fuel thermal conductivity correlations SAS4A mod. Martin and Duriez-mod NFI mod (FRAPCON) for 0.025 2-O/M, 0 at burnup and 5 porosity
7Correlations for the MOX fuel conductivity
- Temperature dependence of green fuel
8Correlations for the MOX fuel conductivity
- Temperature dependence of green fuel
- In Duriez et.al. it is explicitly stated on
basis of experimental data evaluations for green
fuel that the behaviour difference between FBR
and LWR mixed oxide fuels is to be taken as a
fact - Equations recommended for the determination of
the light water reactor fuels should not be used
to calculate the conductivity of hypo-
stoichiometric oxide fuels if the Pu-
concentration is higher than 15 . -
9Correlations for the MOX fuel conductivity
Fuel thermal conductivity correlations of SAS4A mod. Martin and Philipponneau for different 2-O/M-ratios, 0 at burn-up and 5 porosity
10Correlations for the MOX fuel conductivity
Burn-up correction factor of the fuel thermal conductivity of correlations SAS4A mod. Martin and Philipponneau for different temp. over burn-up
11Correlations for the MOX fuel conductivity
- Theoretical interpretation of the CABRI projects
at FZK i.e. pre-test and post test calculations
revealed that use of the re-commendations
according to mod. Martin led to the relatively
best agreement between experimental observations
and calculated results especially in case of low
power pre-irradiations. -
- The international fuels specialists group of the
EFR project came to the conclusion that the
recommendations provided by Philipponneau should
be taken as reference for the EFR project
evaluations. - Differences between mod. Martin and
Philipponneau are small except for low power
operation conditions.
12Correlations for the MOX fuel conductivity
- Correlations for determination of the influence
of burn-up on the fuel conductivity as proposed
by Lucuta leads partly to curious results of
correction factor dependencies from burn-up which
cannot be accepted. - The modified approach followed in the FRAPCON-3
code was investigated in view of experimental
results obtained within the CABRI programs. It
could be demonstrated that application of this
recommendation leads to an over-estimation of the
fuel temperatures by up to 350 K especially for
high burn-up conditions and thus to erroneous
results concerning fission gas release and clad
loading in case it is applied to fast reactor
fuel pins. - To maintain consistency with the EFR project
recommendation it is appropriate to apply the set
of correlations developed by Philipponeau for the
fast reactor fuels of the XT-ADS project
13Correlations for the MOX fuel conductivity
- Philipponneaus correlation T in K
- Thermal conductivity ? (1/(ABT) CT 3 )
FP - A 1.320 v(x0.0093) 0.0911 0.0038 t
- B 2.493 10 -4 m W -1 (constant)
- C 88.4 10 -12 W m -1 K -4 (constant)
- FP correction factor representing the effect of
porosity - FP (1 P) / (1 2P)
- P porosity x deviation from stoichiometry t
burn-up in at
14Review of heat transfer correlations for HLM
- Evaluated dependencies
- - Correlations for tube flows
- - Correlations for flows in triangular
rod bundles - (influence of P/D - ratio)
- - Correlations for flow in square rod
bundles - (influence of P/D - ratio)
- - Influence of spacers and axial power
profiles
15Review of heat transfer correlations for HLM
Triangular arraysP/D 1.409
16Review of heat transfer correlations for HLM
Triangular arraysP/D 1.563
17Review of heat transfer correlations for HLM
- Experimental investigations to study the heat
transfer in liquid metals have preferably used
mercury (Hg) and sodiumpotassium alloy (NaK),
sometimes also sodium (Na) and, for tube flows,
also a lead-bismuth alloy (LBE) has been used. - The Prandtl numbers of lead and LBE are in the
same range as those of Hg and NaK . - Some developers of correlations assessed
experimental data from campaigns using different
coolants and none of the respective publications
reported on differences which could be attributed
to the differences of the fluids. - Therefore, correlations considered here, which
are not explicitly dependent from the Prandtl
number, can be used for lead and LBE without
restriction.
18Review of heat transfer correlations for HLM
- The correlation of Subbotin/Ushakov recommended
for P/D ratios between 1.2 and 2.0 appears to be
the one with the best experimental qualification - The data base for rod bundles with triangular
rod arrange-ments, which has been used to adjust
the correlations, is relatively extended, but it
has to be noted, that the respective experiments
for triangular arrays have all been performed
before 1975. - It has been shown that spacers can enhance the
heat transfer substantially, especially in the
vicinity of the spacer. This has to be kept in
mind if spacers are used which alter the local
coolant flow considerably.
19Review of heat transfer correlations for HLM
- The consequences of possible oxide layers on the
cladding should not be covered by the Nusselt
number correlations but modelled separately in
the computer codes. - 1 / alpha total 1 / alpha conv 1 /alpha cond
- alpha conv convective heat transfer
- alpha cond lambda / layer thickness
- lambda - thermal conduction of the
layer, f (density, - temperature)
- layer thickness f (temperature,
residence time, etc.)
20SAS4A/Ref05R0LBE calculation for XT-ADS hot pin
Peak linear rating 252 W/cm HTF-corr. LBE gt
clad Subbotin/Ushakov Coolant inlet
temperature 300 C Standard calculation corros
ion layer / GESA treatment not taken into
account. Modified calculation Oxide layer
with ? 1 W/(mK) and variable thickness
added. (Thermal conductivity of steel in the
respective temperature range is
about 28 W/(mK)). Only thermal
aspects considered here.
21XT-ADS Hot Pin Axial profiles of clad and
coolant temperature
22XT-ADS Hot Pin Axial profiles of the clad
inner temperature(Modified calculation with
different additional oxide layers)