mcs2sim - method allowing application of psa results in simulators
DESCRIPTION
This presentation provides an introduction to the basic idea of MCS2SIM method (Minimum Cut Set Usage in Simulators), prerequisites needed to apply this method to nuclear power plant safety studies, examples of MCS2SIM application and conclusions drawn from the pilot test. For more information, go to www.gses.com or email [email protected]. You can also follow GSE on Twitter @GSESystems and Facebook.com/GSESystems. Thanks for viewing!TRANSCRIPT
MCS2SIM - Method Allowing Application of PSA Results in Simulators
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Agenda
• Introduction to the basic idea of MCS2SIM method(Minimum Cut Set Usage in Simulators)
• Prerequisites needed for the application of the MCS2SIM for the actual safety studies of NPPs
• Example of MCS2SIM application in R1 simulator
• Conclusions drawn after the pilot tests using the MCS2SIM
• R2 simulator: Example of the suitable simulator for the MCS2SIM application. What is so special about this simulator?
PSA (MCS) Simulator?
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Basic Idea of the MCS2SIM:Minimum Cut Set (MCS) Usage in Simulators
• MCS2SIM method is based on the idea of coupling the Probabilistic Safety Analysis (PSA) and full-scope simulators
• The coupling is possible using the PSA results in the form of Minimal Cut Sets (MCS) and translating these to the equivalent malfunctions used in the simulators
• What is the point?– PSA is an excellent tool for identifying combinations of failures. However, PSA
can’t provide information about the physical mechanisms of failures and consequences
– By knowing combinations of failures, it is straightforward to simulate the physical failure mechanisms in simulators - Perform DSA (Deterministic Safety Analysis)
– Simulators in combination with the PSA studies can become powerful tools for the advanced safety assessment, not just complex tools for the classical training of operators
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Basic Idea of the MCS2SIM: Actual System
• Arbitrary system is assumed containing two tanks: T1 and T2
• Water can be pumped from T1 to T2 using pumps P1 or P2
• Imagine that water flow to T2 cannot be established for some unknown reason
• What is wrong? How can the reason for the failure of the system be identified?
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Basic Idea of the MCS2SIM: Application of Fault Tree Analysis Method
• 1st step is to troubleshoot the whole system to identify what malfunctions may be causing the failure of the system
• How to deal with that effectively? – By using PSA-code like RiskSpectrum or
similar and designing the fault tree model by defining the top event - No water flow into tank T2
• Let the PSA code calculate the combinations of malfunctions and figure out the most probable combinations
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Basic Idea of the MCS2SIM:Verification and Study in Simulator
• Assume that a high-fidelity simulator of this system is available
• Translate the most probable combinations of MCS into the equivalent malfunctions and activate these in the simulator
• Run the simulator and review the physical parameters to verify consequences and learn details of the failure mechanism
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Basic Idea of the MCS2SIM: MCS Usage in Simulators
Simulator
PSA
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MCS2SIM Prerequisites
• High-fidelity fault tree and event tree models for PSA studies of a specific plant
• High-fidelity, full-scale simulator for a specific plant
• Execution faster than real time
• A team of safety analysts experienced in PSA studies and operation of simulators
• Effective tools for automated analysis and automated documentation of the simulation results
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Example of the MCS2SIM Application in R1 Simulator
• PSA fault tree analysis results of the 323-system (core spray system failure) were used in the R1-simulator
• MCS-002 was selected, which states that 323-system will fail if combination of faulty signals from the flow transmitters 323K301 and 323K302 would occur
• In the simulator there is a considerably higher number of available malfunctions than only “signal is not available.” Therefore, as a first step, an investigation was conducted into what kind of malfunction of transmitters is critical
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Example of the MCS2SIM Application in R1 Simulator
PSA states that 323-system will failif combination of the faulty signals from the flow transmitters 323K301 and 323K302would occur.
What is going to happen if the equivalentmalfunctions would be activated in thesimulator?
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Application in R1 Simulator: Results
• If signals coming from the transmitters would be indicating faulty 0.0 mA current then the consequences would not be significant
• If the current of the signals would be high or maximum, it can lead to the total loss of the safety function of the 323-system
• Simulation of consequences in case of a 20% LOCA in combination with the MCS-002 was performed
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Application in R1 Simulator: Results
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Simulation results of the 20% LOCA where 323-system is functioning as intended. The similar behavior would be if transmitters would be indicating faulty 0.0 kg/s flow.
Application in R1 Simulator: Results
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Simulation results of the 20% LOCA where transmitters 323K301 and 323K301 are indicating faulty 300.0 kg/s flow as it is predicted by the PSA.
Application in R1 Simulator: Results
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Simulation results of the 20% LOCA where transmitters 323K301 and 323K301 are indicating faulty 300.0 kg/s flow as it is predicted by the PSA.
LOCA
Core SprayVisualization of the Void
distribution inside the RPV.RPV-model is simulated using GSE’s RELAP5-HD Core
Application in R1 Simulator: Results
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Other Examples of the MCS2SIM Application
• Tests were conducted in R1 (BWR) and R3 (PWR) simulators– R1: Verification of event tree PSA results in simulator, considering station
blackout and combination of MCS predicted by the PSA
– R3: Verification of fault tree PSA results in simulator, considering top event that FUNK-W will not be available and combination of MCS predicted by the PSA
– R3: Verification of event tree PSA results in simulator considering loss of 400 kV grid due to the failure of the external grid and combination of MCS predicted by the PSA
• The results of the tests were conclusive and triggered a number of additional questions leading to a better understanding of the failure mechanisms, possible improvements, and increased quality and confidence in both the PSA results and simulator behaviour
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Conclusions
• Conversion of MCS to malfunctions used in simulators is possible
• Simulations based on MCS are providing information about the physics of the failure mechanisms and severity of the consequences
• It is possible to identify weaknesses and errors both in PSA studies and simulators
• This method is valuable for the identification of complex failure cases and for the training of operators to handle such cases
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Conclusions
• The simulator is an excellent environment for identifying if the combinations of failures would be detectable during the plant operation
• This method requires gathering a team of specialist with different areas of expertise - A PSA specialist and a simulator engineer are needed
• Some technical improvements are needed in order to make this method effective and easily applicable by the safety analysts who are not are experienced simulator engineers
• Quality and requirements for the simulation of the critical systems should be increased to the level of usage of the engineering codes like RELAP5, SIMULATE3, MAAP5, MELCOR, etc.
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R2 Simulator: Example of the Simulator Suitable for the MCS2SIM Application
• R2 simulator was upgraded by GSE using the latest HDS technology facilitating the usage of the engineering codes:– Simulation of the 3D thermal hydraulics in RCS and SG:s using two
RELAP5-HD models
– Simulation of 3D neutron dynamics using SIMULATE3-R code, Studsvik Scandpower
– Simulation of containment, RCS and SG:s, by switching to the PSA-HD code after the severe accident conditions are reached. PSA-HD is based on the MAAP5.01 (Modular Accident Analysis Program)
• All the engineering codes were integrated into the SimExec environment, allowing coupling and synchronization of these engineering codes and BOP models
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R2 Simulator: HDS Structure (High Definition Servers)
SimExec 1: Client
Simulator (BOP):- Topmeret,- Hand written Code,- Other models r5s2_inputs.txt
r5s2_outputs.txt
SimExec 2: Calculation Servers
relap5s2 (100 Hz)(RELAP5-HD Calculation Server 2)
s3rs (10 Hz)(S3R Calculation Server)
s3r_inputs.txt
s3r_outputs.txt
r5s1_inputs.txt
r5s1_outputs.txtrelap5s1 (100 Hz)
(RELAP5-HD Calculation Server 1)
pmaap5s1 (10 Hz)(PSA-HD based on the MAAP5.01
Calculation Server)
jts1_inputs.txt
jts1_outputs.txtjtops1 (20 Hz)
(JTopmeret Calculation Server)
MST
mps1_inputs.txt
mps1_outputs.txt
ExecNameifc.iniRelapifcn (20Hz)
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R2 Simulator: RPV Nodalization (RELAP5-HD)
3 Sectors, Reactor Head
6 Sectors, Downcomer
4 Sectors, Core
4 Sectors, Lower Plenum
6 Sectors, Upper Plenum
1D Bypass
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R2 Simulator: Core Mapping (RELAP5-HD/SIMULATE3-R)
4 Radial Sectors 6 TH Axial Nodes
24 Heat Structures
24 S3R Axial Planes
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R2 Simulator: Pressurizer and SG Nodalization (RELAP5-HD)
SG Primary Side
Pressurizer
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R2 Simulator: SG Nodalization (RELAP5-HD, Secondary Side)
2 Sectors2 Steam Separators
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R2 Simulator: PSA-HD Nodalization (RCS, SG:s and Containment)
Boundaries to BOP
Standard RCS Nodalization
Containment Nodalization
(9 nodes)
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R2 Simulator: PSA-HD Nodalization (Heat Structures)
Heat Structures representing the
walls
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R2 Simulator: PSA-HD Nodalization (Heat-Up Model)
Heat-up model:13 Axial Nodes5 Radial Rings
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