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SMR/1848-T15
Course on Natural Circulation Phenomena and Modelling inWater-Cooled Nuclear Reactors
P.K. Vijayan
25 - 29 June 2007
Bhabha Atomic Research Centre (BARC), Mumbai, India
T15 - Experimental Validation and Data Base of Simple Loop Facilities
EXPERIMENTAL VALIDATION AND
DATABASE OF SIMPLE LOOP
FACILITIES
P.K. VijayanReactor Engineering Division,
Bhabha Atomic Research Centre, Mumbai, India
IAEA Course on Natural Circulation in Water-Cooled Nuclear Power
Plants, ICTP, Trieste, Italy, 25-29 June, 2007 (Lecture : T-15)
OUTLINE OF THE LECTURE T#15
- INTRODUCTION
- STEADY STATE BEHAVIOUR OF 1- LOOPS
- STEADY STATE BEHAVIOUR OF 2- LOOPS
- STABILITY BEHAVIOUR OF 1- LOOPS
- EXPERIMENTAL DATABASE FOR INSTABILITY
OF 2- LOOPS
- STATIC INSTABILITY OF 2- LOOPS
- DYNAMIC INSTABILITY OF 2- LOOPS
- CONCLUDING REMARKS
Advantages of Simple loop Facilities
INTRODUCTION
- Easy to construct and operate
- Minimum of instrumentation
- Large amount of easily reproducible data can be
generated economically in a short time
- Phenomena taking place is easily traceable
- Theoretical and numerical modelling is far more easier
- Data interpretation is easy
INTRODUCTION – Contd.
Contribution of simple loop facilities
- Phenomenological understanding of NC process
- Development of theoretical model and computer codes
- Steady state, transient and stability performance of NCS
- Development and testing of scaling laws
. Hysteresis or conditional stability phenomenon,
. Nature of the unstable flow
- oscillatory modes, phase shift and flow regimes
. Flow redistribution in parallel channels
Topic of this lecture - Contribution of simple loop facilities on the
study of steady state and stability behaviour of single-phase and
two-phase loops
3
2
hh QTor3
1
22
0
2
2 gHCp
RQT hh
Steady state performance of single-phase loops
Lc
Lh
S=0,Lt
S=Lhl S=Lc
L4
L2 COOLER
L1
L3
S=Lh
INLETOUTLET
HEATER
H
2
2
0
RWTdzg
NC in a simple NDL
For an incompressible Boussinesq fluid
3
12
02
RCp
HgQW h
Integrating and rearranging
3
1
hQWor
3
12
02
RCp
ZgQW ch
The core or heater Th can be obtained as
For other orientations of source and sink
Where Zc : C-L elev. diff. betn. sink and source
Generalized Flow CorrelationThe total loop hydraulic resistance
N
i ii AK
D
fLR
12
1
Replace the local loss coefficients Ki with an equivalent length, Lei
i
iii
f
DKLe So that iiieff LeLL
Define reference area and diameter for the NDL as
t
tN
i
ii
t
rL
VLA
LA
1
1N
i
ii
t
r LDL
Dand1
1
If the entire loop follows a friction law of the form bii
pf
Rer
G
m
N
GrCRe
brand
pC
ad
l
D
LNwhere
rN
i i
bb
eff
r
tG
3
12;
121
then
fully laminar loop
Generalized Flow Correlation – Contd.
A Generalized correlation valid for all orientations can be obtained as
before if linear variation of temperature is assumed in the coolerr
G
zm
N
GrC cRe
The error, E, introduced by this
assumption is < 1% if Stm< 1
Stm
Laminar
Turbulent flow
Stm
Laminar flow
Turbulent flow
EE
0.01 0.1 1 10
1.00
1.01
1.02
1.03
1.04
1.05
0.01 0.1 1 10
1.00
1.02
1.04
1.06
1.08
5.0
1768.0ReG
zm
N
Grc
75.2
1
96.1ReG
zm
N
Grc
43.0
3548.0ReG
zm
N
Grc
fully turbulent loop
transition region (empirical)
HHVC VHVC
Steady state performance of single-phase loops
The Generalized flow correlations were found useful to compare the
performance of various loops
Uniform diameter loops (UDLs)
Nonuniform diameter loops (NDLs)
Database for UDLs
Total Number of loops : 14
Loop diameter : 6 to 40 mm
Loop height : 0.38 to 2.3 m
Total circulation length : 1.2 to 7.2 m
Lt/D ratio : 75 to 1100
Fluid used : mostly water and freon in one case
Pressure : near atmospheric to near critical pressure (freon)
Source and sink orientations: all four (HHHC, HHVC,VHHC and VHVC)
Loop types : Open and closed loops
Loop shapes : Rectangular, toroidal, figure-of-eight loops
Steady state performance of UDLs
Comparison of UDL data - Without local losses, NG=Lt/D
- With local losses, NG= (Leff)t/D
102
104
106
108
1010
1012
1014
100
102
104
106
Bernier-Baliga(1992)
Misale et al.(1992)
Vijayan et al.(1994)
Huang-Zelaya(1988)
Holman-Boggs(1960)
Creveling et al. (1975)
Laminar flow correlation
Turbulent flow coppelation
Transition flow correlation
Bau-Torrance(1981)
Haware(1983)
Ho et al. (1997)
Nishihara(1997)
Re
Grm/N
G
102
104
106
108
1010
1012
1014
100
102
104
106
Creveling et al. (1975)
Huang-Zelaya (1988)
Vijayan et al. (1994)
Holman-Boggs (1960)
Ho et al. (1997)
Misale et al. (1992)
Nishihara (1997)
Laminar flow correlation
Turbulent flow correlation
Transition flow correlation
Hawre et al. (1983)
Bernier-Baliga (1992)
Bau-Torrance (1981)
Re
GrmD/L
t
Good agreement with laminar flow correlation in the low Re zone
and good agreement in the turbulent flow correlation in the high
Re zone.
Without local losses With local losses
Local losses are significant in the high Reynolds number zone
Steady state performance of NDLs
Most practical applications of NC employ NDLs
NDL database
Total Number of loops : 10
Loop diameter : 3.6 to 97 mm
Loop height : 1 to 26 m
Total circulation length : 10
to 125 m
Fluid used : water
Pressure : up to 90 bar
Source and sink
orientations: HHVC and VHVC
Loop types : closed loops
105
106
107
108
109
1010
1011
1012
101
102
103
104
105
Laminar flow correlation
Turbulent flow correlation
Transition flow correlation
Vijayan et al. (1991)
Hallinan-Viskanta(1988)
Jeuck et al. (1-loop data)
Jeuck et al. (2-loop data)
Jeuck et al. (3-loop data)
Jeuck et al. (4-loop data)
Zvirin et al. (1-loop data)
Zvirin et al. (2-loop data)
John et al.(1991)
FISBE
Re
ss
Grm/N
G
NDL data neglecting local losses
Loop shapes : Rectangular and figure-of-eight loops
Data for low Re agrees with laminar flow correlation and high Re
data agrees with turbulent flow correlation
Steady state performance of Single-phase Loops
102
104
106
108
1010
1012
1014
1016
100
101
102
103
104
105
106
Laminar flow correlation
Turbulent flow correlation
Transition flow correlation
NDL data
UDL data
Re
ss
Grm/N
G
General Remarks
Laminar flow correlation
is good for Grm/NG < 106
Turbulent flow correlation
is good for Grm/NG > 1010
Significant data scatter
exists in 106 < Grm/NG <
1010 as the loop is
neither fully laminar
nor fully turbulent. The
empirical correlation is
good in this region
For specific loops good agreement with laminar flow correlation is
obtained even up to Re of 1200 (Grm/NG< 5x107). Similarly
turbulent flow correlation is found to give good results for Re >
2000 (Grm/NG > 2x108)
UDL and NDL data neglecting local losses
Steady State Performance (1- NC)
The flow rate increases with power as well as with loop
diameter as expected.
Measured and predicted flow
rate for 26.9 mm i.d. loop
0.0 0.5 1.0 1.5 2.0 2.50.000
0.025
0.050
0.075
0.100
Flo
w (
kg
/s)
Power (kW)
Experimental data
Blasius correlation (f = 0.316 Re-0.25
)
f = 0.184 Re-0.2
0.00 0.25 0.50 0.75 1.000.0000
0.0125
0.0250
0.0375
0.0500
6 mm loop
23.2 mm loop
11 mm loop
Flo
w -
kg
/s
Power - kW
Effect of loop diameter on
predicted flow rate
Based on the Homogeneous Equilibrium Model (HEM). The pressure
losses in the system are negligible compared to the static pressure so
that (constant pressure system) the fluid property variation with
pressure is negligible.
The inlet subcooling is negligible so that the density variation in the
single-phase heated section can be neglected.
Complete separation of steam and water is
assumed to occur in the SD so that there is
no liquid carryover with the steam and no
vapor carry-under with water (see Figure)
Lh
Loop relevant to BWRs
S=0,St
S=SSD
S=SSD
Steam
drum
down
comer
Steam Ws, hs
Feed
WF, hF
H
S=SspS=Sh
LB Heater
A constant level is maintained in the SD, so
that the single-phase lines always run full
The heater is supplied with a uniform heat
flux and the SD can be approximated to a
point heat sink. Heat losses are negligible
Steady state Performance of Two-phase Loops
The steady state one-dimensional governing equations for the two-
phase NCS
0ds
dWConservation of mass
pipes
heaterD
q
ds
dh
A
Wh
h
i0
4 "
Conservation of energy
tiiii LA
WK
AD
Wfg
ds
dP
ds
d
A
W2
2
2
2
2
2
22sin
vConservation of momentum
Integrating the momentum equation around the closed loop and
noting that we get vd 0dP
22
2
122
2 RW
A
K
DA
fLWdzg
tN
i i
where dz=ds.sin
Steady state Performance of Two-phase Loops
Two-phase density in the buoyancy force term can be approximated as
lhr hh1
p
hh
v
v
1where
l
g
lg
x
xwhere
11
1
1
Both the definitions are equivalent for a constant pressure system
in the two-phase regime if HEM is applicable
0.0 0.2 0.4 0.6 0.8 1.00
100
200
300
400
500
600
700
800
Pressure=70 bar
De
nsity
Quality
=l[1-
tp(h-h
l)]
=g+(1- )
l
Fluid: water
Density variation in the two-phase region
Steady state Performance of Two-phase Loops
2
2RWdzhg hr
If we can approximate h to be a constant over the loop, then
3
1
22
R
HgQW hhrNoting that hss=Qh/W,
tp
B
B
s
sN
Ni i
tp
LO
N
Nii
tpLO
N
i i
sp
A
K
DA
fL
A
K
DA
fL
A
K
DA
fLRwhere
122
2
122
2
122
Replacing the local loss coefficients in terms of an equivalent length
and if a friction factor correlation of the form f=p/Reb is valid
throughout the loop
It may be noted that the above assumption (i.e. f=p/Reb) may not be
valid always for reactor loops.
tp
B
B
s
sN
Ni i
bb
eff
LO
N
Nii
bb
effLON
i i
bb
eff
l
bb
l
rhrAD
L
AD
L
AD
LWpdzhhg
121
2
121
2
121
2
2
Steady state Performance of Two-phase Loops
tp
B
B
s
sN
Ni i
bb
eff
LO
N
Nii
bb
effLON
i i
bb
eff
l
bb
l
rhrAD
L
AD
L
AD
LWpdzhhg
121
2
121
2
121
2
2
Nondimensionalizing the above with the following substitutions
t
ieff
ieff
t
ii
r
ii
r
ii
ss
r
ss L
Lland
L
Ll
D
Dd
A
Aa
H
sS
H
zZ
h
hh
W
W;;;;;;H
inrinr
N
i
ii
t
r
t
t
N
i
ii
t
r hhandLDL
DL
VLA
LAwhere
tt
;;1
;1
11
r
G
mss
N
GrCRe
brand
pC
A
gQDGr
A
WDWhere
r
lr
hIlrm
lr
ssrss
3
12;;Re
3
23
tp
B
B
s
sN
Ni i
bb
eff
LO
N
Ni i
bb
eff
LO
N
i i
bb
eff
r
tG
ad
l
ad
l
ad
l
D
LN
121
2
121
2
121
looplaminar1768.0Re2
1
G
mss
N
Gr
loopturbulentN
Grand
G
mss
11
4
96.1Re
Steady state Performance of Two-phase Loops
Special CasesSingle-phase natural circulation
thatsoLO ,12and
ad
l
D
LN
tN
i i
bb
eff
r
tG
121
CpTisCpIf T
p
h
v
Cpv
1 thenconstant, getwethatso
Twhere
p
T
v
v
1
pp
hCpTh
v
v
1v
v
1
Two-phase NCLSingle-phase NCL
3
1
22
R
HgQW hhr
3
1
22
p
hTr
RC
HgQW
tp
B
B
s
sN
Ni i
tp
LO
N
Nii
tpLO
N
i i
sp
A
K
DA
fL
A
K
DA
fL
A
K
DA
fLR
122
2
122
2
122
tN
i i
sp
A
K
DA
fLR
122
r
G
mss
N
GrCRe
r
G
mss
N
GrCRe
tp
B
B
s
sN
Ni i
bb
eff
LO
N
Ni i
bb
eff
LO
N
i i
bb
eff
r
tG
ad
l
ad
l
ad
l
D
LN
121
2
121
2
121
tN
i i
bb
eff
r
tG
ad
l
D
LN
121
3
23
lr
hhlrm
A
gQDGrand3
23
lr
hTlrm
CpA
gQDGrand
Two-Phase Natural Circulation
coolant
Schematic of the different test loops
separator
condenser
heater
Neutron
window 2445
2020
2210
2036
575
(a) 7, 9.1, 15.74 & 19.86 mm loops
heater
850
1180 655
1180
885
condenserseparator
1515
3400
subcooler
(b) 49.3 mm loop
Extensive database exists for the steady state performance of two-phase loops.
However, complete geometric details are not always available
Range of Parameters of Data
Pressure : 0.1-7 MPa Power : 0.3-40 kW Tsub : 0.1-16 K
Quality : 0.4-24% Diameter: 7, 9.1, 15.7, 19.9 & 49.3 mm
Steady state Performance of Two-phase Loops
Testing of correlation with data
107
108
109
1010
1011
1012
1013
1014
1015
102
103
104
105
106
Power:0.3 - 65 kW
Pressure:0.1-13.8 MPa
Tsub
:0.1-64 0C
quality:0.4-69.3%
0.6C(Grm/N
G)
r
1.4C(Grm/N
G)
r
Re
ss
Grm / N
G
Present Theory
UDL data
NDL data
Effect of pressure on two-phase NC flow
Testing with correlation
Loops considered: 5
Literature data is not utilized as
yet except one NDL data
The experimental data is in
reasonable agreement with
the theoretical correlation
At constant power, the flow rate goes through a peak and then reduces
with increase in pressure
0 20 40 60 800.0
0.5
1.0
1.5
2.0
Equation (7)
Experimental data
Power=30 kW
Loop diameter : 49.3 mm
Mass F
low
Rate
(kg/s
)
Pressure (bar)
theory
Effect of Power on Steady State Flow in 2- NCLs
With increase in power, the steady
state flow may increase, decrease or
remain practically unaffected.
(a) Flow increases with power (b) Flow decreases with power
(c) Flow invariant with power
Different NC flow regimes exist
in two-phase loops
15 30 450.5
1.0
1.5
2.0Pressure: 9.6 bar
Sub-cooling: 1 oK
Ma
ss F
low
Rate
(kg/s
)
Power (kW)
Equation (7)
Experimental data
RELAP5/MOD3.2 (Two-fluid model)
TINFLO-S
theory
1500 2000 2500 3000 3500 40000.01
0.02
0.03
9.1 mm diameter tube
12.6 - 14.6 bar (abs)Mass f
low
rate
(kg
/s)
Power (W)
Experimental data
TINFLO
Equation (7)theory
2000 3000 4000 50000.00
0.01
0.02
0.03
0.04
9.1 mm i.d. loop
Tsub
: 8 - 16K
Pressure: 57+1 bar
Mass F
low
Rate
(kg/s
)
Power (W)
Experiment
RELAP5/Mod 3.2
TINFLO-S
Eq.(7) with h calculated by Eq. (9)theory
NC Flow Regimes in two-phase NCLs
Effect of quality on void fraction Different flow regimes in 9.1 mm loop
0.0 0.2 0.4 0.6 0.8 1.00.0
0.2
0.4
0.6
0.8
1.0
1 bar
220bar
221.2bar
170
bar
70 bar
15 b
ar
Vo
id f
ractio
n
Quality
0 20 40 60 80 1000
1
2
3
4
5
6
Loop Diameter= 9.1 mm
170 bar
70 bar
15 bar
GDR
Compensating Regime
Friction Dominant Region
GDR
Flo
w n
orm
alis
ed
to
100
% F
P
Power (%)
Gravity Dominant Regime: Occurs at low qualities where there is a large
change in void fraction with small change in quality. Characteristic of this regime is
that NC flow increases with power
Friction Dominant Regime: Occurs at high qualities where there is a small
change in void fraction with change in quality. Characteristic of this regime is that flow
decreases with increase in power. Generally observed during low power operation.
Compensating Regime: The increase in buoyancy force is compensated by a
corresponding increase in frictional force resulting in practically constant flow
Effect of Loop Diameter on two-phase NC Flow Regimes
The friction dominant regime shifts to lower pressures with increase in loop
diameter
At high pressures, only the gravity dominant regime may be observed if the
power is low.
Knowledge of the flow regimes helps to understand the stability behaviour of two-
phase loops
0 20 40 60 80 1000.0
0.4
0.8
1.2
1.6
2.0
Loop Diameter: 19.86 mm
GDR: Gravity Dominant Regime
Compensating Regime
170 bar
50 bar
15 bar
GDR
Friction Dominant RegionGDR
Flo
w n
orm
alis
ed t
o 1
00%
pow
er
Power (%)0 20 40 60 80 100
0.0
0.4
0.8
1.2
1.6
2.0
170 bar
8 bar
2 bar
GDR
Compensating Regime
Friction Dominant RegimeGDR
Loop Diameter= 49.3 mm
GDR: Gravity Dominant RegimeFlo
w n
orm
alis
ed t
o 1
00%
pow
er
Power (%)
(a) 19.86 mm loop (b) 49.3 mm loop
Stability Behaviour of Single-phase
Loops
Extensive database exists on single-phase instability and a few of the
general characteristics observed are discussed below
- Hysteresis
- Instability mechanisms and flow regimes
- Flow regime switching and oscillation period
- Limit cycles
- Effect of power
- Prediction of instability threshold
- Prediction of limit cycles
- Techniques for stabilization
Hysteresis Phenomenon
From the linear analysis, it appears that the stability threshold is a
unique value.
A region of hysteresis (conditional stability) exists where the instability
threshold depends on the operating procedure
The phenomenon is observed in simple rectangular loops, figure-of-
eight loops with throughflow, parallel channel systems and two-
phase loops
The effect of the following three operating procedures are investigated
- Start-up from rest (Instability threshold: 105 W)
- Power raised from stable steady state (Threshold : 270 W)
- Power step back from an unstable state (Threshold : 60 W)
The instability thresholds were found to be different for all the
three cases with the coolant secondary conditions maintained constant
Oscillatory flow regimes
Flo
w r
ate –
kg
/s
p – mm of water column
(f) limit cycle for chaotic switching
p -
mm
Time – s
(e) time series for chaotic switching
p -
mm
Time – s (c) time series for bi-directional pulsing (d) limit cycle for bi-directional pulsing
Flo
w r
ate
-k
g/s
p – mm of water column
(b) limit cycle for unidirectional pulsing
p -
mm
Time - s (a) time series for unidirectional pulsing
24000 26000 28000 30000 32000
-3
-2
-1
0
1
2
3
10000 11000 12000 13000 14000 15000 16000 17000 18000 19000 20000-3
-2
-1
0
1
2
3
10000 12000 14000 16000 18000 20000-3
-2
-1
0
1
2
3
-3 -2 -1 0 1 2 3-0 .2
-0 .1
0 .0
0 .1
0 .2
-3 -2 -1 0 1 2 3-0.2
-0.1
0.0
0.1
0.2
Orientation : HHHC
Plotted from a time series of 21800 seconds after neglecting initial transients
Flo
w r
ate
- k
g / s
P - mm of water column
-3 -2 -1 0 1 2 3-0.2
-0.1
0.0
0.1
0.2
A rich variety of
oscillatory flow
regimes are possible
-unidirectional
-bi-directional
-chaotic switching
The shape of the
limit cycle depends
on the chosen
parameter space
Mechanism causing instability
Welander proposed that oscillation growth as the mechanism
causing instability
0 5000 10000 15000 20000-3
-2
-1
0
1
2
3
Orientation : HHHCP across the bottom horizo
P -
mm
of
wa
ter
co
lum
n
Time - s
270 W
0 5000 10000 15000 20000 25000-3
-2
-1
0
1
2
3
P -
mm
of
wa
ter
co
lum
n
Time - s
10000 15000
Time - s
Period tripling
Period doubling105 W
165 W
0-3
-2
-1
0
1
2
3
P -
mm
of
wa
ter
co
lum
n
(a) Oscillation growth from steady state (b) Start-up from rest at low power c) Start-up from rest at high power
Oscillation growth is the mechanism causing instability. But
differences are visible
Flow regime switching leads to period jump
Experimental 3-D Phase space of 1- NC
-30-20
-100
1020
30
100
200
300
400
-0.1
0.0
0.1
0.2
unconditionallystable
unconditionallyunstable
conditionallystableP
ow
er
-W
Flowrate
- kg/s
P - Pa
The various flow regimes like unconditionally stable, conditionally
stable (hysteresis) and the unconditionally unstable
The amplitude of
oscillation is found to
increase with power.
Effect of power
The phase plots also deform
with increase in power
The oscillations also become
more chaotic with increase
in power
Effect of powerThe frequency of oscillation increases with increase in power
except when period jump occurs
0 100 200 300 400 500 600 700200
300
400
500
600
T=250.6+784.12exp(-Qh/142.81)
T = 427.5-1.0117Qh
unidirectional pulsing
bidirectional pulsing
best fit line for unidirectional pulsing
best fit line for bidirectional pulsing
Pe
rio
d o
f o
scill
atio
n -
s
Power - W
The period of unidirectional oscillation is found to decrease
linearly where as the period of bi-directional oscillation is found
to decrease exponentially
Prediction of Stability Map
The stability map is usually predicted by the linear theory
Often the wall effects and heat losses are neglected
The prediction is significantly affected by the friction factor correlation
Good comparison with experimental data is obtainable with a loop
specific empirical correlation.
The same correlation when used for other loops can show
significantly different results
However, accounting for the wall and heat loss effects good
prediction can be expected for fully laminar and turbulent loops
For certain loop geometry such as the toroidal loop, the adequacy
of 1-D theory is questionable due to the continuous variation of
the gravitational component
Prediction of Limit Cycles1-D theory is expected to give good prediction of the steady state
flow if the local losses are accounted for a fully laminar and fully
turbulent loop.
Good prediction of the stability map is also expected for the fully
laminar and fully turbulent loop if wall thermal effects and heat losses
are accounted
However, prediction of the limit cycle oscillations is a bigger challenge
in single-phase loops as all three (laminar, turbulent and transition
regimes) are encountered in rapid succession especially when periodic
flow reversal takes place.
In such cases, a criterion for laminar to turbulent flow transition is
also required. Different transition criteria also can give interesting results
The predicted limit cycles can be significantly different due to the 3-D
effects caused by the flow which is never fully developed
Techniques for stabilizingIncreasing the Stm and Lt/D are always stabilizing.
Increasing the Lt/D is commonly used in NCSs. Introduction of
orifices is the usual method. The location of the orifice does not
matter in single-phase systems
Instability is observed in loops with Lt/D < 300.
Introduction of orifices reduce the flow and heat transfer
capability significantly.
Use of thick conducting walls are found to stabilize single-phase
systems
In addition process control techniques are being tried out to
stabilize single-phase NCSs
There are techniques which does not affect the flow
Database for instability of two-phase
NC loops
Extensive database from simple loop facilities exist for two-phase
NC instability
Most instabilities such as flashing, geysering, Type I DWI,
Ledinegg type instability and even CHF induced instability are
found to occur during initiation of boiling.
For analysis purposes, it is important to separate them out based
on their mechanism and characteristics as analysis methods are
different
This is often lacking in the database
Experimental Stability Map (2- NC)
Typical low power and high power instability
Two unstable regions are found
for two-phase NCLs.
The first unstable zone in the
two-phase region occurs at a
low power and hence at low
quality and is named as type I
instability by Fukuda and
Kobori (1979). Similarly, the
second unstable zone in the
two-phase region occurs at high
powers and hence at high
qualities and is named as type II
instability.
Type-I instability occurs in the gravity dominant regime whereas
type-II instability occurs in the friction dominant regime. Instability
is not found in the compensating regime during the present tests.
0 5000 10000 150000.0
0.7
1.4
2.1
2.8
3.5
Stable 2- flow
Boiling inception
Stable 1- flow
Type-II instability
Type-I instability
Loop diameter: 9.1 mmPressure: 13.7 bar
P -
Pa*0
.1;
Tsub-
K
Pow
er
-kW
Time - s
Power
0
20
40
60
80
100
Tsub
P across flow meter
Experimental Findings on Type-I Instability
It occurs right from the boiling inception. The amplitude of
oscillations first increases, reaches a peak and then
decreases with increase in power eventually leading to
stable flow.
0
10
20
30
40
1000
1-
p (
mm
of
wc)
Time (s)
(a) Power = 20 kW
0.5 0.6 0.7 0.8 0.90
50
100
150
200
p across 1- region
Power = 14.82 kW
p a
cross
1-
reg
ion (
Pa)
Flow rate (kg/s)
Phase plot at 15 kW and 2.2 bar
-3 -2 -1 0 1 2 3-0.2
-0.1
0.0
0.1
0.2
Flo
w -
kg/s
Generally unidirectional oscillations, but more
chaotic than single-phase NC
4600 4800 5000 5200
0
25
50
Time (s)
P -
mm
13000 13500 14000 14500 15000-500
0
500
1000
P -
Pa
Time (s)
7.4 bar (g) pressure
9.1 mm ID tube
The limit cycle is similar to that found in single-phase
flow except that it is more chaotic. Very few studies on
validation of limit cycles
Limit cycle for UDO in
single-phase loop
1200 2400 36000.0
0.7
1.4
2.1
2.8
3.5
Stable 2- flow
Boiling inception
Stable 1- flow
Type-I instability
Loop diameter: 9.1 mm
Pressure: 13.7 bar
P -
Pa
*0.1
;T
su
b -
K
Po
we
r -
kW
Time - s
Power
0
20
40
60
80
100
Tsub
P across flow meter
Experimental Findings on Type-I Instability
The amplitude of type-I oscillations reduce significantly with increase in pressure. Further, type-
I instability is not observed beyond a critical value of the system pressure.
0 4000 8000 12000 160000
200
400
600
800
1000
0
20
40
60
80
100
Loop diameter: 9.1 mm
Pressure: 18.5 bar
Time - s
P -
Pa
Pre
ssu
re -
ba
r (g
)
Stable 2- flow
stable 1- flow
Type-I
instability
1667 W1660 W
1450 W
1309 W
Pressure
Stable 2- flow
stable 1- flow
Loop diameter: 9.1 mm
Pressure: 25 bar
Time - s
P -
Pa
Pre
ssu
re -
ba
r
0 4000 8000 120000
200
400
600
800
1000
0
20
40
60
80
100
4000 5000 60000
250
500
750
1000
Pressure
P -
Pa
P -
Pa
P
Pressure
-4
-2
0
2
4
Pre
ssure
- b
ar
(g)
Pre
ssu
re -
ba
r (g
)
P
(b) Start-up at 5.4 bar
Time - sTime - s(a) Start-up at 3.1 bar
2000 3000 4000 5000 60000
250
500
750
1000
-2
0
2
4
6
Effect of pressure on the instability due to boiling inception in 19.2 mm
i.d. loop
The critical value of
pressure beyond
which type-I instab-
ility disappears is
found to decrease
with increase in the
loop diameter.
Experimental Findings on Type-II Instability (2- NC)
A general characteristic of the type-II instability is that the
oscillation amplitude keeps increasing with power.
0 2000 4000 6000 8000 10000 12000 14000-20
0
20
40
60
80
100
Pressure: 13.5 bar
- P Across bottom horizontal leg
1385 W
1470 W 1598 W1689 W
2995 W
3969 W
1091 W
Upper threshold
Lower
thrshold
L d U th h ld t bilit
P m
m o
f w
ate
r co
lum
n (
1-
)
Pre
ssu
re (
g)-
bar
Time (s)
18000 20000 22000 24000 260000
20
40
60
80
100
4052 W
3634 W2803 W2225 W
1629 W
1400 W
1400 W
1400 W
P m
m w
ate
r colu
mn
Pre
ssure
(g)-
bar
Time (s)
4000 6000 8000 10000 12000 140000
20
40
60
80
100
5060 W
4611 W
2957 W2680 W
2355 W
2068 W
1105 W
P m
m w
ate
r colu
mn
Pre
ssu
re (
g)-
bar
Time (s)
(a) 13 bar (b) 18 bar (c) 25 bar
The upper threshold of instability at different pressures
Type-II instability is found to occur after the flow starts to decrease with increase in
power in the present experiments. Type-II instability occurs in the friction dominant
regime and it occurs at higher qualities.
Prediction of Stability Map
Linear analysis based on the drift flux model is given by Ishii-Zuber(1970)
Saha and Zuber (1978) modified this model by taking into account the effect of thermal nonequilibrium effect.
Thermal nonequilibrium effect predicts a more stable system at low subcooling compared to thermal equilibrium model
These predictions showed poor agreement at high subcooling conditions when compared to experiments
Furutera (1986) showed that the threshold of instability could be predicted with reasonable accuracy using the homogeneous model. However, the two-phase friction multiplier and the heat capacity in the subcooled boiling region has a significant effect
Since then many others showed that it is possible to predict thethreshold of DWI using HEM
Theoretical Findings on Instability (2- NC)
(a) Effect of drift velocity (b) Effect of subcooling
Comparison of measured and predicted stability maps
0 2 4 6 8 100
20
40
60
80
Stable region for 2.5 deg. C and Unstableregion
for 5 deg. C
Stable
Unstable
Tsub
= 5.0 0C
Tsub
= 2.5 0C
Unstable experimental data
Stable experimental data
TINFLO-s
Pow
er (
kW
)
Pressure (bar)
0 10 20 30 40 50 600
4
8
12
16
Stable
Unstable
Loop diameter 9.1 mm
Martinelli-Nelson model
sub=5 K; C
0=1
Experimental threshold of type-I instability
Experimental threshold of type-II instability
Vgj=0
Vgj=0.1
Vgj=0.2
Po
we
r (k
W)
Pressure (bar)
Unstable
The stability of the test loops were studied with a linear stability code TINFLO-S
based on the drift flux model. The drift flux parameters (Co and Vgj) for slug flow
were used as it was the most frequently observed flow pattern during the tests. The
Martinelli-Nelson two-phase friction multiplier model was used in the computations.
Theoretical Findings on Instability (2- NC)
(a) (b)
Predicted stability map for various loop diameters
6 12 18 24 30
0
50
100
150
200
Unstable
Unstablestable
pressure = 70 bar
Po
we
r (k
W)
subcoolng (K)
7 mm 10 mm
15 mm 20 mm
25 mm
7 14 21 28 35
0
30
60
90
Unstable
Unstable
Stable
loop diameter
Pressure = 70 bar
exit q
ua
lity
subcooling (K)
7 mm
10 mm
15 mm
20 mm
25 mm
40 mm
Effect of loop diameter on stability
The stable zone enhances with increase in loop diameter which is consistent with the
test results.
Type-II instability threshold shifts to higher qualities with increase in loop diameter.
Beyond 40 mm loop diameter, the upper threshold is not found in the two-phase
region (i.e. 0<quality<1).
By appropriate choice of the loop diameter, it is possible to eliminate the type-II
instability in the two-phase loops.
Design Considerations (2- NC)
(a) 7mm loop (b) 10mm loop (c) 15 mm loop
Stability controlled designs and loop diameter
0 7 14 21 28 350
5
10
15
20
25
stability map
CHF
Loop diameter = 10 mm
Pressure = 70 bar
Stable
Pow
er
(kW
)
subcooling (K)
Unstable
0 7 14 21 28 350
5
10
15
stability map
CHF
loop diameter = 7 mm
pressure = 70 bar
Pow
er
(kW
)
subcooling (K)
UnstableStable
0 7 14 21 28 350
20
40
60Loop diameter : 15 mm
Pressure : 70 bar
Stability map
CHF
Stable
Po
wer
(kW
)subcooling (K)
Unstable
Unstable
Since both instability and CHF needs to be avoided in the design of two-phase natural
circulation systems two types of designs are possible depending on which of them is
limiting the maximum power that can be extracted.
Stability-Controlled Designs
The maximum power is limited by the stability, as the threshold of type-II instability is
lower than the CHF threshold. This situation arises in small diameter loops.
Design Considerations (2- NC)
CHF-controlled Designs
(a) 15 mm (b) 20 mm loop (c) 25 mm loop
CHF controlled designs and effect of loop diameter
7 14 21 28 350
40
80
120
Loop diameter : 20 mm
Pressure : 70 bar
CHF
Stable
Po
we
r (k
W)
subcooling (K)
stability map
Unstable
Unstable
0 7 14 21 28 350
50
100
150
200
CHF
Loop diameter = 25 mm
Pressure = 70 bar
Stable
Po
we
r (k
W)
subcooling (K)
Stability map
Unstable
Unstable
0 7 14 21 28 350
20
40
60Loop diameter : 15 mm
Pressure : 70 bar
Stability map
CHF
Stable
Pow
er
(kW
)
subcooling (K)
Unstable
Unstable
The CHF threshold is much below the type-II instability threshold and
hence CHF limits the maximum power that can be extracted. This
situation arises in large diameter loops.
Design of forced circulation BWRs is usually CHF controlled.
Design Considerations (2- NC)
Operating line for stability controlled designs
0 3 6 9 12 150.00
0.25
0.50
0.75
1.00
Loop diameter = 10 mm; Pressure = 70 bar
De
ca
y R
atio
(-)
Power (kW)
Subcooling
5 K
10 K
15 K
Variation of decay ratio while going from
the lower to the upper threshold
Since two-phase NCSs are not
completely stable over the entire
subcooling-power map an operating
line needs to be specified for ensuring
stability for all anticipated operations
like start-up, power raising, and step
back. The decay ratio goes through a
minimum while moving from the
lower to the upper threshold for a
fixed subcooling. Ideally, the
operating line shall pass through the
minimum decay ratio line (locus of all
minimum decay ratio points) so that
all oscillations will die down in the
quickest possible manner.
For stability-controlled designs, one could choose the operating line as
the minimum decay ratio line
1500 2000 25000
100
200
300
400
pressure drop
p -
Pa
/10
7 mm ID test section
TE-13
Trip occured
Te
mp
era
ture
- 0
C
Time (s)
0
25
50
75
100
Unstable oscillations and CHF
Design Considerations
Premature occurrence of CHF and test
section burnout can be an issue during
oscillatory flows in two-phase loops. In
the present experiments, premature CHF
occurrence was observed only for the test
section diameters of 7 and 9.1 mm. The
occurrence of burnout during instability
was more frequent in 7 mm diameter loop
than in 9.1 mm loop. Inspection of the
burnt out test sections revealed that the
burnout is not restricted to the test section
outlet.
In the larger diameter test sections, the CHF power was significantly
large compared to the available power preventing the burnout during
unstable oscillatory flow.
Typical CHF occurrence during
oscillatory flow
Premature Occurrence of CHF
0.01.5
3.04.5
0
5
10
15
20
25
30
35
0.033
0.034
0.035
0.036
Power = 30 kW, Mass flow rate at CHF = 0.03 kg/s, P = 70 bar
CHF Zone
No CHF Zone
Am
plit
ude
(%)
Mean
flow
rate
(kg/s
)
Frequency (Hz)
0
4.375
8.750
13.13
17.50
21.88
26.25
30.63
35.00
Premature occurrence of
CHF is a problem at low
oscillation frequency. It is
also important at high
frequencies if the oscillation
amplitude is large
Concluding Remarks
Single-phase Loops
Using a generalized dimensionless relationship, it is possible to
compare the steady state performance of different loops
Friction factor correlations, wall thermal capacitance and heat
losses significantly affect the prediction of instability threshold
Reasonable prediction of the threshold is possible for fully
laminar and fully turbulent loops if the wall thermal capacitance
and heat losses are accounted
1-D theory is able to predict the trend of the time series and the
different unstable flow regimes. However, the shape of the limit
cycles are significantly different.
3-D effects are important for unstable oscillatory flows and the
applicability of 1-D theory for the prediction of limit cycles is
debateable
Concluding Remarks
Two-phase loops
Lack of generalized dimensionless groups make it difficult to
compare the steady state performance of different loops
The threshold of instability can be predicted with reasonable
accuracy using the homogeneous model. However, the two-phase
friction multiplier and the heat capacity in the subcooled boiling
region has a significant effect
Although, extensive database exists, often it is not possible to
identify the instability type from the data
Very few studies are reported for the validation of the
observed limit cycles
Thank you