ML20133D980

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Calculation of Psl LOSP Initiator Event Frequency & Confidence Limits
ML20133D980
Person / Time
Site: Saint Lucie  
Issue date: 01/07/1997
From:
FLORIDA POWER & LIGHT CO.
To:
Shared Package
ML17229A191 List:
References
NUDOCS 9701100159
Download: ML20133D980 (22)


Text

..

PSL PRA TASK 6.6 REVISION O PAGE 25 OF 64 i

APPENDIX B:

CALCULATION OF PSL LOSP INITIATOR EVENT FREQUENCY AND CONFIDENCE LIMITS t

(a) PLANT-CENTERED 1

n := 51 1 := 1089.6 f := 2 n + 1 f - 103 E(n,t) := 2 n E( n, t) - 0.04727 1

let Z1 = +1.645 for 95% CL Z2 = -1.645 for 5% CL x a= Chi-square value a - Confidence Limit Z u 1.645 f

3 x (f,z) := f.! 1 - 2,, 7, 2-(for f>40) a

(

Sf 3 9f The confidence limits are calculated by the equation:

I a(f,Z)

CL(Z) :=

2t therefore, for 95% CL:

Z1 := 1.645 x (f,Z1) - 127.68927 CL(21) - 0.05859 a

for 5% CL:

22 := -1.645

% a( f,Z2) - 80.58052 CL(Z2) = 0.03698 (b) GRID-RELATED n := 12 t := 1089.6 f:= 2 n + 1 f - 25 E( n, t) - 0.01147 from Table A.5 Reference (9),x^2 for 95% :

x i := 37.652 o

from Table A.5 Reference (9),x^2 for 5% :

% a2 := 14.611 "I

for 95% CL CL1 :=

CL1 - 0.01728 2t for 5% CL CL2:=

CL2 - 0.0067 2t 9701100159 970107 PDR ADOCK 05000335 P

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PSL PRA TASK 6.6 REVISION 0 PAGE 26 OF 64 l

',~

CALCULATION OF PSL LOSP INITIATOR EVENT FREQUENCY APPENDIX B:

AND CONFIDENCE LIMITS t

(c) WEATHER-INDUCED j

n := 10 f:= 2 n + 1 f-21 E( n, t ) - 0.00964 from Table A.5 Reference [9],x^2 for 95% :

Iat := 32.67 from Table A.5 Reference [9],x^2 for 5% :

I a2 := 11.59 for 95% CL cL1 :=

CL1 - 0.01499 2t for 5% CL CL2 :=

CL2 - 0.00532 2.t l

l F.WSERSOMM.UCE\\ TASK 64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 27 OF 64 i

APPENDIX C:

TIME. LINES FOR REPRESENTATIVE PSL LOSP SCENARIOS I

Definitions of parameters:

a

Weibull parameter.

b

Weibull parameter.

A

DG D1 failure rate.

1

DG D2 failure rate.

2 1

DG Dl/DG D2 common cause failure rate.

3(

TD AFW pump failure rate.

1

MD AFW pump failure rate.

l i

5

}

(

HPSI Pump run failure rate.

T,

Mission time for sequence.

T,i

Mission time for Diesels.

T,3

Mission time for HPSI pump (Injection).

1 T,

Mission time for HPSI pump (Recirc).

T,m

Battery depletion time.

Tco

Time to Core Damage following loss of core cooling.

i i

Definitions of events:

t i

DlS

DG D1 fails to start.

D2S

DG D2 fails to start.

D1R

DG D1 fails to run.

D2R

DG D2 fails to run.

DCCS : DG D1 & DG D2 common cause failure to start.

DCCR : DG D1 & DG D2 common cause failure to run.

5 ABS

TD AFW pump fails to start.

ABR : TD AFW pump fails to run.

ACR : MD AFW pump fails to run.

i HPIR : HPSI pump fails to run (Injection).

HPRR : HPSI pump fails to run (Recirc).

BTD : Battery depletion.

CD

Core damage.

i e

FMJsERSOMstUCIE\\rAsK64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 28 OF 64 i

Functions definitions:

E(A,t) = A e-A' 8

1't-v'3 I

5 G(v,t) =

0 3 W(t) = a b t*-la "

M(t) = a *

D1S Case 1-

= Aft r

()

(_/

LOSP 1

0 Trro ts Teo Figure (3): Case 1 Scenario.

R = [,I"'#"M(t +T y.G(Tgi)dt (29) 3 i

c D1S D2R Case 2*.

- ft r

()

(_,,,/

LOSP

=

0 ti Toro t

Teo l

Figure (4): Case 2 Scenario.

( 2 t)d k

( )

M~I )

k"1 d

2 C

I i

0 0

l FWSER9DMStUC1thTASK64RVO

PSL PRA TASK 6.6 REVISION O PAGE 29 OF 64 i

l D2S D1R ft r Case 3A:

()

()

LOSP

=

=

0 ti Tom tz Teo Figure (5): Case 3A Scenario.

I

~~I" WI(t,+T ).G(Tm,tp E(1,t,)dt dt:

(31)

R

=

w 3

i y

A T, a

a i

D2S D1R V

A'"

\\7 A

2n7r

()

()

LOSP

=

=

=

0 Taro ti t

Teo Figure (6): Case 3B Scenario.

VI(f +T ).E(A,,t -'i).G(Tm 's)dl d'2 (32)

~~

Ru " A, T, a

2 co 2

i a

R=R

+ R, (33) 3 y

F.WSER$hDMStUQE\\ TASK 64JtVO

PSL PRA TASK 6.6 REVISION O PAGE 30 OP 64

\\

i I

D1R D2R ft r Case 4A:

()

()

LOSP 0

ts t

TsTo t:

Teo j

5 Figure (7): Case 4A Scenario.

I

~ ~ "

~6

~6 am '3 '2)ECA 2 's).E(1,t )dt,dt dt (34)

R, =

Wl(t +T ).G(T 3 i z 3 3 c3 2

A,\\ Ti 4

D2R D1R Case 4B:

()

()

LOSP

=

=

0 ts t:

Toro t

Teo Figure (8): Case 4B Scenario.

I R,, =

~ ~ " f6~6W/(t +T ).G(T,,,t -t ).E(A,,t:-t,).E(1,t )dt,d'2dt (35)

~

3 cy 3 i 2 i 3

A, A T1 -)

-3 P.MJ5ER90MStUC!lhTASK64.RYO

PSL PRA TASK 6.6 REVISION O PAGE 31 OF 64 r

i 1

D2R D1R Case 4C:

ft

=

()

()

LOSP

=

=

=

=

0 ti Two la to Teo Figure (9): Case 4C Scenario.

1 v.-r as s

a Re=

WI(t,+T ).G(Tm2-t,).E(\\,t,)dt dt dt (36) co iz 3 (37)

R, = Ru+R,+Re DCCS ft r Case 5'

=

()

( /

LOSP

=

0 TsTo ti Tco Figure (10): Case 5 Scenario.

1 R=

~~#"W/(t, +T ).G(T

,r,) dt, (38) i 3

co

.3 l

l I

l FNJSER9DMStUCE\\ TASK 64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 32 OF 64 i

t DCCR Case 6:

ft r

(/

()

LOSP

=

0 ti Two ta Tm Figure (11): Case 6 Scenario.

I

~ #"

~

W/(t,+T ).G(Tm '2-t ).E(1,t ) dt,dt:

(39)

R=

co i

3 i

\\ / D1S Ti m ABS Om

= After Case 7:

()

LOSP

=

=

0 Teo Figure (12): Case 7 Scenario.

R, = WI(T )

(@)

co FM1SDtSOMStUCENTAOK64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 33 OF 64 4

t ABS D1R nr Case 8:

=

()

LOSP

=

=

0 ti Teo Figure (13): Case 8 Scenario.

R, =

" "W/(t,+T )E(A,t,) dt, (41)

I w

i A,Tua X7DecS ass n

2n7r e

s.

()

LOSP

=

0 Teo Figure (14): Case 9 Scenario.

R, = MTco)

FMISERSOMStUCIE\\ TASK 64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 34 OF 64 i

4 1

l l

ABS DCCR Case 10:

nr

=

()

LOSP 0

ti Tco Figure (15): Case 10 Scenario.

I R,, =

v.-r"WI(t, +T ).E(\\,t,) dt, (43) w NTao I

D1S ABR ner Case 11:

=

()

LOSP

=

=

0 ti Teo i

Figure (16): Case 11 Scenario.

I R,, =

~~#"WI(t,+T ).E(A,,r,) dt, (44) w A,T, a

1 FAUSER50MFLUC1hTASK64RVO

PSL PRA TASK 6.6 REVISION O PAGE 35 OF 64 i

a i

ABR D1R f

Case 12A:

=

()

LOSP

=

=

O ti tz Tm Figure (17): Case 12A Scenario.

1 v.-r. ** W/(t +T ).E(A,t,-t,).E(1,,t,) dt dt (45)

Riu " A, A,T,,T, -)

a cy 3

i o

i D1R ABR

\\/

O At7: r Case 12B:

(j

- LOSP

=

0 ts t

Tm Figure (18): Case 12B Scenario.

'Wl('2+Ty.E(1,,t -t,).E(1,t,) dt dt:

(46)

~~

Ri2s " A, A,T,T, a

3 i

a i

(47) i2 " R, + Rig R

iz FNJSERSOMSLUCETASK64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 36 OF 64 s

t DCCS ABR Time g

paTo O co After Case 13:

N]

N)

LOSP O

Tom t1 Teo Figure (19): Case 13 Scenario.

1 r"W/(t, +T ).E(1,t,) dt, (48)

R,3

=

w ABR DCCR Case 14A:

- fler

()

LOSP

=

0 ts tz Tm Figure (20): Case 14A Scenario.

1 v.-r g

R,y =

W/(t,+Ty.E((,t -f ).E(1,,t,) dt dt, (49) 2 i i

A 7_7 FMJSERSOMStUCm\\ TASK 64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 37 OF 64 4

i i

DCCR ABR V

O O"

ft r

% )

%)

LOSP

~

Tm

~

j

=

0 ti ta=

Tm Figure (21): Case 14B Scenario.

I R,, = A A,T,,T,-)~#"'#"

~'WI(t +T ).E(A,t,-t,).E(1,t,) dt,dt (50) 2 w 3

3

-o 3

R,=Riu + R,,

(51) 3 HPIR D1R Time co

= Aner Case 15A*

()

LOSP

=

0 ti t

Tm Figure (22): Case 15A Scenario.

W/(t:+T ).E(A,,t -f ).E(1,t,) dt,dt:

(52)

R,y =

co 2 t A,%T Taao o

F.AUSERSOMSLUCIhTASK64RVO

PSL PRA TASK 6.6 REVISION O PAGE 38 OF 64 t

\\

D1R HPIR V

O

= Aft r Case 15B:

LOSP O

ti t

Tm Figure (23): Case 15B Scenario.

1 R,, = A, A.T,T,, ov.-r

'Wl(t,+T )E(1.,t -l ).E(A,t ) dt,dt:

(53) co a i ii

-)

R

= R,3, + R,

(54) is is HPRR D1R 7

O Case 16A:

- ft r (y

LOSP

=

0 ti ta Tm Figure (24): Case 16A Scenario.

I R,y =

Wl(t +T ).E(1,,'2-f ).E(A,t ) dt,dt (55) 2 co i

i A, A T T,

o

-)

o F.MJSERSOMStUCECASK64RVO

1 PSL PRA TASK 6.6 REVISION O PAGE 39 OF 64 i

D1R HPRR Att r Case 16B:

( /

LOSP

=

0 ti t

Ta Figure (25): Case 16B Scenario.

i l

I

~6WI(t,+T )E(1,t,-t,).E(1,,t,) dt,dt (56)

R,, = k, k,T Twwo co 2

R,, = R,,, + R,,,

(57)

ACR D1R f

Case 17A:

=

(_./

LOSP

=

0 ti tz Tm Figure (26): Case 17A Scenario.

1

~ ~ "

~6W/(t +T ).E(A,,'2-f ).E(1 i) dt dt (58)

R

=

2 c3 i

5 i z iu k, k,T,T

-)

~o w

FMISER90MStUCIhTASK64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 40 OF 64 9

i i

D1R ACR r

Case 17B:

=

( /

LOSP

=

1 0

ti in Tm Figure (27): Case 17B Scenario.

I R,, =

~#" r.

,'WI(t +T ) E(A t -l ) E(A t ) dt dt (59) a.

3, a i i,,

3 A, A T,Tg -)

o S

R,, = R,,, + R,,,

(60)

I FNJSERSDMSLUCE\\ TASK 64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 41 OF 64 APPENDIX D:

TWO-PARAMETER WEIBULL DISTRIBUTION FOR PLANT-i CENTERED OSP NON RECOVERY DATA n := $1

$ *: 0.88 b

b i := 1 26 i

i := 27 n i

1 0.003 27 0.433 2

0.003 3

0.483 3

0.004 5

0.500 TOL := 0.000001 4

0.017 30 0.500 5

0.017 31 0.500 6

0.033 32 0.500 7

0.067 3

0.633 8

0.067 34 0.667 9

0.083 35 0.667 10 0.083 36 0.767 11 0.133 37 0.900 12 0.150 38 0.900 13 0.150 39 0.933 3

0.167 5

1.033 3

0.183 E

1.483 16 0200 42 1.500 17 0.250 43 1.667 H

0250 E

1.750 19 0.250 45 1.967 20 0.267 46 2.167 21 0.283 47 2.333 22 0.300 48 2.750 23 0.333 49 4.617 24 0.333 50 5.917 3

0.333 5

7.433 3

0.400 (if in(t)

$ := root 11-in(t,)\\,$

[(t)"

0 "Ii i

/

S - 1.094955 Y

-[(t';'

A = 1.074904 A :=

i a := 0 a.1.082302 b = 1.094955 F.WSERSOMStUCHhTASK64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 42 OF 64 APPENDIX D:

TWO. PARAMETER WEIBULL DISTRIBUTION FOR PLANT-CENTERED OSP NON. RECOVERY DATA t

PLOT OF CUMULA11VE LOSP NONRECOVERY PROBABILITY APPROXIMATED AS A WElBULL DISTRIBUTION (PLANT-CENTERED )

J := 1.18 x(j) := 0.2-(j - 1)

P(j) := e'*("(ll) x(j) P(l}

j := 19 36 x(]) P(j) 0 1

3.6 0.012 0.2 0.83 3.8 0.009 0.4 0.672 4

0.007 0.6 0.539 4.2 0.005 0.8 0.428 4.4 0.004 1

0.339 4.6 0.003 1.2 0.267 4.8 0.002 1.4 0.209 5

0.002 1.6 0.164 5.2 0.001 1.8 0.127 5.4 0.001 T

0.099 5.6 7.943 10

2.2 0.077 5.8 6.005 10

2.4 0.059 6

4.536 10" i

2.6 0.046 6.2 2.8 0.035 6.4 3.424 10-'

I 0.027 U

2.582 10

3.2 0.021 6.8 1.945 10

3.4 0.016 7

1.102 10

I 1 38 Nonrecovery Probability vs.

Time 1

l N<

0 a(j) 7 r.WSERSOMSLUCETASK64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 43 OF 64 APPENDIX E:

TWO. PARAMETER WEIBULL DISTRIBUTION FOR GRID.RELAT.

ED OSP NON. RECOVERY DATA 1

n := 12

$ := 0.88 1 :: 1.. n l

8 1

0.133 TOL := 0.000001 0

7 0.300 5

0.333 6

0.550 7

0.917 8

1.033 g

2.000 Io 2.083 E

2.833 3

6.467 (t)E :(t) ir I

In(t)

,S S = 0.884114

$ := root E(i)

(i s

1 I.[(t)I A = 0.752431 A :=

i b := S

      • p a - 0.777647 b - 0.884114 FMJSEk&DMSitJCENTASK64.RVO

PSL PRA TASK 6.6 REVISION O PAGE 44 OF 64 APPENDIX E:

TWO-PARAMETER WEIBULL DISTRIBUTION FOR GRID RELAT.

ED OSP NON RECOVERY DATA I

4 PLOT OF CUMULATIVE LOSP NONRECOVERY PROBABILITY APPROXIMATED AS A WElBULL DISTRIBUTION (GRID-RELATED)

)

..(9 6

j :: 1. 36 x := 0.2-() - 1 )

P := e j

3 P,

x l

Nonrecovery Probability vs.

g, 0.4 0.707579

~

1 g

0.609545 OJ 0.528129

}

1 0.459486 g

0.401051 y

0.350964 y

0.307808 y

0.27047 2

0.238056 2.2 0.209835 U

0.185205 2

2J 0.163663 2J 0.144785 3

0.128214 p

3.2 0.113646 1

3J 0.100821 4

y 0.089516 3.8 0.07954 4

4 0.070726 4.2 0.062932

\\

U 0.056032 4J 0.04992 g

4.8 0.0445 i

1 0.03969 5.2 0.035419 5

0.031624

\\

1 U

0.028249 U

0.025246 a

7

[

0.022572

'l 6}

0.020191 6.4 0.018068 U

0.016174 i

U 0.014485 T

0.012977 FAUSERSOMStUCIF.\\ TASK 6 6.RVO

PSL PRA TASK 64 REVISION O PAGE 45 OF 64 i

APPENDIX F:

TWO-PARAMETER WEIBULL DISTRIBUTION FOR WEATHER.

INDUCED OSP NON RECOVERY DATA t

n := 10

$ := 0.88 o

t :=

I:s 1 n g

i T

0.033 TOL := 0.000001 T

0.233 T

0.400 7

1.750 5

1.817 6

2.667 7

4.000

~

8_ 8.900

.[(t)0 In(t) 9_ 11.000 10 18.967 in(t)

,S

$-0.695364

~

0 ;* #

~ -

  • p 1

l (t[.

A = 0.250485

)

A :=

i a := A' a - 0.381886 b - 0.695364 FNJSER9DMSLUCIlhTASK64RVO

PSL PRA TASK 6.6 REVISION O PAGE 46 OF 64 i

APPENDIX F:

TWO. PARAMETER WEIBULL DISTRIBUTION FOR WEATHER.

INDUCED OSP NON. RECOVERY DATA 1

PLOT OF CUMULATIVE LOSP NONRECOVERY PROBABILITY APPROXIMATED AS A WElBULL DISTRIBUTION (WEATHER-INDUCED)

.. (9 =

j :s 1 36 x := 0.2-( j - 1 )

P := e 3

3 x

P, 0

1 E

0.882754 Nonrecovery Probability vs.

U 0.817145 Time 5

0.765128

~.8 0.721085 0

1 0.682573 E2 0.648233 5

0.617205 g

0.588895 g

0.562874 2

0.538814 2.2 0.51646 5

0.495608 2.6 0.476089

\\

5 0.457766 3

0.440521

(

p 32 0.424252

_L 34 0.408875 3.6 0.394314 5

0.380503

\\

[

0.367384 42 0.354906 3

4.4 0.343022 4.6 0.331692 E

0.320877 T

0.310545 E

0.300665 I

5 0.291209 E

0.292152 5

0.27347 0

1 0.265141 "I

6.2 0.257147 i

5 0.249468 6.6 0.242088 l

B 0.234991 I

l T

0.228163

\\

F.*USERSOMSLUCHATASK6-6.RVO