SISIFO-GAS
A COMPUTERIZED SYSTEM TO SUPPORT
SEVERE ACCIDENTS TRAINING AND
MANAGEMENT
César Serrano
WGRisk Workshop
March 29-31, 2004
Köln, Germany
TABLE OF CONTENTS
•
INTRODUCTION
•
BACKGROUND
•
TECHNICAL DESCRIPTION
•
CHARACTERISTICS
•
DEMO
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INTRODUCTION
DATABASE
DECISION
MAAP4
MODULES
ON-LINE
GRAPHIC
PLANT DATA
INTERFACE
SISIFO-GAS
Property of:
SEVERE ACCIDENT
SEVERE ACCIDENT
TRAINING
MANAGEMENT
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TECNATOM CAPACITIES
TECNATOM
ENGINEERING SERVICES COMPANY COVERING THE FOLLOWING AREAS:
• TRAINING AND SIMULATION: PWR AND BWR FULL-SCOPE, MULTIFUNCTIONAL SIMULATORS,…..
• PLANT OPERATION SUPPORT: EOP AND SAMG’S DEVELOPMENT AND
TRAINING, MAN-MACHINE INTERFACE,…..
• INSPECTION (STRUCTURAL INTEGRITY), TESTING (NON-DESTRUCTIVE)
AND MATERIALS.
• DESIGN AND MANUFACTURING, EXPERIMENTAL FACILITIES
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IBERINCO CAPACITIES
IBERDROLA Ingeniería y Consultoría (IBERINCO)
ENGINEERING AND CONSULTING SERVICES COMPANY COVERING THE
FOLLOWING AREAS:
• CONSULTING AND STUDIES: SITE/IMPLEMENTATION, SAFETY SYSTEMS
ASSESSMENT,….
• PROJECT ENGINEERING: DESIGN MODIFICATIONS, FINAL SAFETY STUDY
UPDATING, RADIOLOGICAL PROTECTION,…..
• OPERATION ENGINEERING: LICENSE AND SAFETY ANALYSIS, PSA,
SUPPORT TO NUCLEAR FUEL MANAGEMENT, WASTE MANAGEMENT.
• MAINTENANCE ENGINEERING
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BACKGROUND
• BEGINNING (1997-1998):
HALDEN PROJECT
• APPLICATION (1999-2002):
COFRENTES NPP
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BACKGROUND
OECD HALDEN REACTOR PROJECT
• TITLE: “DEVELOPMENT OF AN EXTENSION OF THE CAMS SYSTEM TO
SEVERE ACCIDENTS MANAGEMENT”
• ORIGINAL DEVELOPMENT : COMPUTERISED ACCIDENTS MANAGEMENT
SUPPORT (CAMS)
• NEW CONTRIBUTION, EXTENSION TO SEVERE ACCIDENTS FOR GENERIC
BWR AND PWR:
– DIAGNOSIS AND FITTING MODULES DEVELOPMENT
– INTERFACE WITH THE TRACKING/PREDICTIVE SIMULATOR
(MAAP4)
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CAMS - ORIGINAL DEVELOPMENT
Plant Data
Data
Acquisition
Signal
Validation
APROS
Tracking/Predictive Simulator
Non-Severe Accident
Man-Machine
Interface
State
Identification
PSA
Module
Strategy
Generator
Critical Function
Monitor
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CAMS - NEW DEVELOPMENT
Plant Data
MAAP 4
Tracking/Predictive Simulator
Severe Accident
Data
Acquisition
Signal
Validation
Diagnosis
Module
Fitting
Module
Man-Machine
Interface
PSA
Module
Strategy
Generator
Critical Function
Monitor
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BACKGROUND
COFRENTES NPP APPLICATION
(1096MWe, BWR/6 GE DESIGN, MARK-III CONTAINMENT)
• TAKING AS STARTING POINT THE HALDEN GENERIC MODULES, THE
DEVELOPMENT OF THE SPECIFIC DIAGNOSIS / FITTING MODULES FOR
THE PLANT WAS CARRIED OUT.
• THE MAAP4 CODE WAS SELECTED AS TRACKING/PREDICTIVE
SIMULATOR DUE TO THE LARGE EXPERIENCE OF USE INTO THE PSA/IPE.
• NEW CAPACITIES:
– INTERACTIVE GRAPHIC CAPACITY
– DATABASE WITH MAAP SEQUENCES (PROGNOSIS)
– MAN-MACHINE INTERFACE: SCADA-FACTORY LINK
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TECHNICAL DESCRIPTION
FUNCTIONAL DIAGRAM
SIEC
COFRENTES NPP
SOFTWARE REQUIREMENTS
DIAG. M
FITT. M
MAAP 4
SCADA
DATAMAAP
WINDOWS 95
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GRAPHIC INTERF.
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TECHNICAL DESCRIPTION
DIAGNOSIS MODULE
• THE PURPOSE OF THE DIAGNOSIS MODULE IS TO DETERMINE THE PLANT
STATE TO BE USED INTO THE FITTING MODULE AND IN THE
PREPARATION OF THE ENTRY DATA TO THE SIMULATOR CODE
• DATA PLANT IDENTIFICATION
– LIST OF RELEVANT SIGNALS, PARAMETERS AND SYSTEMS THAT
COULD INFLUENCE THE ACCIDENT EVOLUTION
• DETERMINE THE PLANT STATE (INITIATOR EVENT, SYSTEMS AND
BARRIERS OF RETENTION) THROUGH LOGIC RULES:
– MANAGEMENT OF THE INSTRUMENTATION DATA AND THEIR
VARIATION
– LOGIC RULES DEFINED AS LOGIC TREES
– PARAMETER PROCESSING STRUCTURE USING FUZZY LOGIC
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LOGIC RULES - DRYWEL BYPASS
NO
YES
VESSEL
FAILURE
NO
DRYWELL
BYPASS
1 HOUR AFTER
VESSEL FAILURE
NO
YES
NO
DRYWELL
BYPASS
YES
YES
NO
TDW - TVESSEL
>1 HOUR
YES
EARLY
BYPASS
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LATE
BYPASS
NO
BYPASS
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TECHNICAL DESCRIPTION
FITTING MODULE
• THE PURPOSE OF THE FITTING MODULE IS TO CONTROL THE MAAP4
CODE EXECUTION COMPARING THEIR RESULTS WITH THE DATA PLANT
(SIEC) PROCESSED THROUGH THE DIAGNOSIS MODULE
• EVALUATION OF THE DIFFERENCES:
– SYSTEMS STATUS
– PARAMETERS OF THE SOURCE TERM CATEGORY LOGIC TREE (PSALEVEL 2, STC)
• DETERMINE THE STC THROUGH LOGIC RULES:
– LOGIC RULES DEFINED AS LOGIC TREES
– PARAMETER PROCESSING STRUCTURE USING FUZZY LOGIC
• ADJUST THE INPUT MAAP4 CODE TO REPRODUCE THE SEQUENCE
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LOGIC RULES - STC
YES
EVENT-V
NO
STC 61
YES
RPV VENTED
NO
STC 2
YES
NO
RPV FAILURE
LATE CF
CONTAINMENT
FAILURE TIME
LATE CF
EARLY CF
NO CF
A
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CONTAINMENT
FAILURE TIME
EARLY CF
NO CF
STC 53
B
STC 59
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STC 60
C
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TECHNICAL DESCRIPTION
SCADA (FACTORY LINK)
(SCADA - DATABASE - GRAPHIC INTERFACE)
• SCADA PROCESS IN REAL TIME DATA OF ALL MODULAR STRUCTURES
REQUIRED (SIEC, MODULES, MAAP4 AND THE GRAPHIC INTERFACE)
• DATABASE OF ACCIDENT SEQUENCES ANALYSED WITH MAAP:
– GENERAL DESCRIPTION
– TIMING OF EVENTS
– SYSTEMS/BARRIERS STATUS
– SOURCE TERM RELEASED
– OUTPUT VARIABLE PLOTS
• GRAPHIC INTERFACE SHOWING THE ACCIDENTS EVOLUTION AND WITH
INTERACTIVE CAPACITIES TO BE USED WITH THE TRAINING MODE
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TECHNICAL DESCRIPTION
SOFTWARE REQUIREMENTS
• ACCIDENT ANALYSIS CODE: MAAP 4.0.3 CODE (MINOR MODIFICATIONS)
• SUPERVISORY CONTROL AND DATA ACQUISITION (SCADA): FACTORY
LINK (RUN TIME LICENSE)
• EQUIPMENT CONNECTIVITY: PC ANYWHERE
• DATABASE IN ACCESS: DATAMAAP
• DIAGNOSIS & FITTING MODULES:
– LOGIC RULES WITH C CODE
– PARAMETER PROCESSING STRUCTURE WITH A FUZZY LOGIC BASED
PROGRAMME
• OTHER INTERFACE PROGRAMMES
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CHARACTERISTICS
OPERATIONAL MODES
• ON-LINE PROCESSES
– TREATMENT OF THE PLANT DATA TO IDENTIFY POTENTIAL ACCIDENTAL
SEQUENCES (INITIAL EVENTS INTO THE DIAGNOSIS MODULE) AND CONTROL
THEIR EVOLUTION:
• MODULES CONTROL
• ACCIDENT MANAGEMENT MODE
• OFF-LINE PROCESSES
– USER-FRIENDLY CAPACITIES DEVELOPED AROUND THE MAAP CODE TO
IMPROVE THE KNOWLEDGE ABOUT THE SEQUENCES EVOLUTION:
• ACCIDENT TRAINING MODE
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MAIN SCREEN
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CHARACTERISTICS
MODULES CONTROL
• THE ON-LINE RECEPTION OF THE MOST SIGNIFICANT PLANT DATA IS
DISPLAYED AS PUNCTUAL VALUES (9 SCREENS) AND/OR PLOTS
• THE DATA ARE PROCESSED THROUGH THE DIAGNOSIS MODULE TO IDENTIFY
AN INITIATOR EVENT AND WHEN IT OCCURS THE DISPLAY PERMITS TO
VISUALIZE ALL THE PROCESSES ACTIVATED DURING THE MANAGEMENT
MODE:
–
DIAGNOSIS AND PROGNOSIS STATUS: INPUTS, OUTPUTS, FUZZY LOGIC PROCESS
–
DATA COMMUNICATIONS BETWEEN PLANT AND SISIFO-GAS
–
MAAP STATUS: FITTING MODULE, ERRORS
–
TIME INTERVALS: PLANT DATA REFRESH, HISTORICAL DATA STORE, FROM THE
INITIAL EVENT.
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FITTING MODULE STATUS
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CHARACTERISTICS
ACCIDENT MANAGEMENT MODE
• DIAGNOSIS
– PERMITS TO SEE THE LOGIC RULES DEVELOPED FOR THE DIAGNOSIS MODULE
USED FOR THE IDENTIFICATION OF THE ACCIDENTAL SEQUENCE AND ITS
EVOLUTION.
– PERMITS TO SEE THE LOGIC RULES TO ASSIGN AN ENVIRONMENTAL SOURCE
TERM RELEASE (LEVEL2-PSA TREE: STC)
• PROGNOSIS
– PERMITS TO SEE THE BEHAVIOUR AND THE FINAL STATUS OF OTHER
SEQUENCES WITH SIMILAR INITIAL CONDITIONS (DATAMAAP)
– SEQUENCE EVOLUTION (PROGNOSIS) WITH MAAP4.
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SOURCE TERM CATEGORIES
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CHARACTERISTICS
ACCIDENT TRAINING MODE
• TO REPRODUCE AN OLD SEQUENCE
–
PERMITS TO SAW AS A FILM, USING THE GRAPHICAL DISPLAYS, A SEQUENCE
STORED INTO THE DATABASE
• TO REPRODUCE A NEW SEQUENCE
–
PERMITS EASILY TO GENERATE A NEW INPUT OF MAAP AND TO RUN IT
AUTOMATICALLY, WITH THE “GASE” SUBPROGRAM
–
THE SEQUENCES CAN BE VIEWED AND INTERACTIVELY MODIFIED ON
DISPLAY AND FINALLY STOPPED AND STORED IN THE DATABASE
• DATAMAAP
–
DATABASE ON ACCESS, STRUCTURED AND USER-FRIENDLY, WITH A DETAILED
INFORMATION ON THE SEQUENCES STORED AND PLOTS
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CONTAINMENT DISPLAY
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SYSTEMS DISPLAY
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DATABASE - MAIN SCREEN
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DATABASE - PLOT
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DEMO
CHARACTERISTICS OF SISIFO-GAS
STAGES
1.
TO SEE THE ON-LINE CONNECTION WITH PLANT DATA (SIEC)
2.
THE MANAGEMENT MODE: INITIATOR EVENT AND DIAGNOSIS
3.
THE TRAINING MODE: OLD SEQUENCE
4.
THE TRAINING MODE: NEW SEQUENCE
5.
DATABASE
Time 5:59
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SISIFO-GAS
THE END
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