MARE

a Risk M

onitor supported in

PSA Risk Spectrum code models

MARE

a Risk M

onitor supported in

PSA Risk Spectrum code models

J. A

. Car

rete

ro

P. Fer

nan

dez

, P. A

lonso

Mag

alla

nes

, 3

28015 M

adrid, Spai

n

“Next Generation PSA Software, Declarative Modeling,

and M

odel Representation Standards”

June 12th, 2007

Kernkraftwerk G

öesgen-D

aeniken -Switzerland

Workshop

ABS Consulting

Shee

t 1

RISK ANALYSIS M

ONIT

OR M

ARE

MARE

is a

pla

nt

spec

ific

re

al-tim

e risk

an

alysis

tool

dev

eloped

by

Em

pre

sarios

Agru

pad

os

(EA

) m

ainly

to

su

pport fu

lfilm

ent

of

the

Span

ish R

egula

tory

Auth

ority

(CSN

) re

quirem

ent to

im

ple

men

t th

e U

SA

Mai

nte

nan

ce R

ule

(10 C

FR 5

0.5

6). T

his tool su

pports

the

anal

ysis

and

eval

uat

ion o

f risk

lev

el c

han

ges

due

to e

quip

men

t unav

aila

bility

during

pla

nt oper

atio

n.

Shee

t 2

MARE GENERAL CHARACTERISTICS

•M

onitoring o

f on-lin

e pla

nt co

nfigura

tion b

y m

eans of direc

t

connec

tion to pla

nt co

mponen

t outa

ge

man

agem

ent sy

stem

•In

terf

ace

aim

ed a

t pla

nt staf

f: o

per

atio

n, m

ainte

nan

ce, te

chnic

al , ..

•Sam

e te

rmin

olo

gy a

nd rep

rese

nta

tion u

sed b

y p

lant staf

f

•Com

ple

te P

SA

model

cal

cula

tions w

ith p

ow

erfu

l ca

lcula

tion a

lgorith

m

•N

o tra

inin

g in P

SA

tec

hniq

ues

req

uired

Shee

t 3

MARE GENERAL CHARACTERISTICS

•W

ork

s to

get

her

with R

isk-S

pec

trum

-Win

dow

s co

mpute

r pro

gra

m an

d

PSA

model

s han

dle

d b

y this c

om

pute

r co

de.

Auto

mat

ic inte

rfac

e w

ithout

PSA

anal

yst involv

emen

t in

the MARE

exec

ution.

•M

odula

r stru

cture

eas

ily c

ustom

ised

to u

ser re

quirem

ents

(environm

enta

l fa

ctors

, dynam

ic e

ven

ts,..)

•D

ispla

y o

f histo

ric,

on-g

oin

g a

nd p

rogra

mm

ed o

uta

ges

as G

antt c

har

ts

•System

configura

tions displa

yed

as sim

plified

dia

gra

ms, w

ith d

iffe

rent

(six

) co

lours

for ea

ch p

oss

ible

situat

ion

•D

iffe

rent displa

ys fo

r on-g

oin

g a

nd p

rogra

mm

ed o

uta

ges

Shee

t 4

MARE GENERAL CHARACTERISTICS

•O

nline

mode

for ac

tual

poin

t-in

-tim

e risk

monitoring

•Im

portan

ce o

f single

outa

ge

com

ponen

ts d

ispla

y for m

ultip

le-

com

ponen

t outa

ges

•In

stan

taneo

us

reco

ver

y

of

pre

vio

usly

store

d

anal

ysis

for

outa

ge

sched

uling o

r oth

er a

nal

ysis

•D

iffe

rent displa

y for poin

t-in

-tim

e an

d a

ccum

ula

ted risk

•Cal

cula

tes M

axim

um

Allow

ed C

onfigura

tion T

imes

(A

CT´s

)

Shee

t 5

MAIN

MENU O

PTIO

NS

Aim

ed for

different Plant

Staff

Aim

ed for

different Plant

Staff

Shee

t 6

ACCESS TO THE M

ONIT

OR

MARE

Main M

enu

MARE

Main M

enu

Modifications/

Updates of program

data allowed by

means of a

password

Modifications/

Updates of program

data allowed by

means of a

password

Shee

t 7

MAIN

MENU O

PTIO

NS

Records historical

Analysis

Records historical

Analysis

Tag-outs under

way/scheduled

Tag-outs under

way/scheduled

Gantt diagram

Gantt diagram

Graphic Display

Graphic Display

On-line diagram

On-line diagram

Shee

t 8

TAG-O

UT H

ISTORIC

AL RECORDS

Safety m

argin for each

tag-out configuration

Safety m

argin for each

tag-out configuration

Risk Evolution

Diagram

Risk Evolution

Diagram

Risk H

istorical

Diagram

Risk H

istorical

Diagram

Accumulated

Risk Diagram

Accumulated

Risk Diagram

Shee

t 9

TAG-O

UT H

ISTORIC

AL RECORDS

Different kinds of tag-out can be

selected (maintenance, test and

without labels)

Different kinds of tag-out can be

selected (maintenance, test and

without labels)

Shee

t 10

TAG-O

UT H

ISTORIC

AL RECORDS

Actual risk condition of the plant is

evaluated, both regarding risk

accumulated since the beginning of

the cycle and by displaying its

evolution

Actual risk condition of the plant is

evaluated, both regarding risk

accumulated since the beginning of

the cycle and by displaying its

evolution

A Report is printout listing

all historical component

outages along the period

A Report is printout listing

all historical component

outages along the period

Recover of previous analysis

Recover of previous analysis

Shee

t 11

TAG-O

UTS UNDER W

AY/SCHEDULED

Previously it is identified

whether there are new

component tag-outs with

impact on risk

Previously it is identified

whether there are new

component tag-outs with

impact on risk

Shee

t 12

TAG-O

UTS UNDER W

AY/SCHEDULED

Checking of input data

Checking of input data

Shee

t 13

TAG-O

UTS UNDER W

AY/SCHEDULED

Additional calculations

to be carried out

Additional calculations

to be carried out

Shee

t 14

TAG-O

UTS UNDER W

AY/SCHEDULED

Filing of new

hypothetical

configuration

analysed

Filing of new

hypothetical

configuration

analysed

Importance

evaluation of single

Tag-out

components

Importance

evaluation of single

Tag-out

components

Shee

t 15

TAG-O

UTS UNDER W

AY/SCHEDULED

Different views of the results are available

Different views of the results are available

Joint display of results: safety m

argin

and historical evolution along the period

analysed

Joint display of results: safety m

argin

and historical evolution along the period

analysed

Foreseen future risk evolution.

Next month is displayed

Foreseen future risk evolution.

Next month is displayed

Shee

t 16

TAG-O

UTS UNDER W

AY/SCHEDULED

Reports printout

Reports printout

Filing of analysed cases is

possible. That permits future

recovery or comparison with

other analysis

Filing of analysed cases is

possible. That permits future

recovery or comparison with

other analysis

Shee

t 17

GANTT DIA

GRAM

Tag-out display in a G

antt Diagram:

Status of tag-outs: historical and under way

Input tag-out data

Scheduling of new

Tag-outs

Recovery and m

odification of stored analysis

cases

Tag-out display in a G

antt Diagram:

Status of tag-outs: historical and under way

Input tag-out data

Scheduling of new

Tag-outs

Recovery and m

odification of stored analysis

cases

Shee

t 18

GRAPHIC

DISPLAY

Gra

phic

rep

rese

nta

tion o

f ta

g-

out stat

us:

sch

edule

d o

r ac

tual

Gra

phic

rep

rese

nta

tion o

f ta

g-

out stat

us:

sch

edule

d o

r ac

tual

New

com

ponen

ts c

an b

e pla

ced

out of se

rvic

e fo

r an

alysis

New

com

ponen

ts c

an b

e pla

ced

out of se

rvic

e fo

r an

alysis

Tag

-out dat

aTag

-out dat

a

Shee

t 19

ON-LIN

E M

ONIT

OR

Data is automatically

refreshed every X m

inutes

Data is automatically

refreshed every X m

inutes

On-line display of

plant risk profile

On-line display of

plant risk profile

Shee

t 20

DATA M

ODIFIC

ATIO

N

Modifications require a

password to avoid m

istakes

Modifications require a

password to avoid m

istakes

All data used can be modified:

•Constan

ts

•Input dat

a

•Flo

w d

iagra

ms

All data used can be modified:

•Constan

ts

•Input dat

a

•Flo

w d

iagra

ms

Shee

t 21

MARE IN ALMARAZ NPP

•Rea

l tim

e Ris

k M

onitoring inte

gra

ted w

ith S

IGE p

lant dat

abas

e

•Com

ple

te solu

tion o

f ea

ch u

nit P

SA

model

(no sim

plifica

tions)

•Full p

ow

er L

evel

1 P

SA

•Auto

mat

ic m

ainte

nan

ce d

ata

pla

nt in

puts fro

m S

IGE d

atab

ase

•Updat

es o

f des

ign m

odific

atio

ns an

d rel

iability d

ata

each

ref

uel

ling

•Use

ful re

ports an

d g

raphic

s ca

pab

ilitie

s fo

r M

R a

nd o

ther

s

Shee

t 22

MARE IN ALMARAZ NPP

•Thre

e diffe

rent use

r frie

ndly

inte

rfac

e dis

pla

ys fo

r oper

atio

n,

mai

nte

nan

ce a

nd tec

hnic

al a

ssista

nce

sta

ff.

•Sim

plified

dia

gra

ms (s

ame

as u

sed in P

SA

) an

d u

nfo

ldab

lem

enus

with the

sam

e co

mponen

t re

pre

senta

tion a

nd iden

tifica

tion than

in

pla

nt

•Spec

ial in

form

atio

n for both

units sh

ared

com

ponen

ts

•N

orm

al o

n-lin

e risk

cal

cula

tions in

les

s th

an few

min

ute

s