BSI 24/30497426 DC 2024
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BS EN 61888 Nuclear power plants. Instrumentation important to safety. Determination and maintenance of trip setpoints
Published By | Publication Date | Number of Pages |
BSI | 2024 | 40 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
6 | INTERNATIONAL ELECTROTECHNICAL COMMISSION FOREWORD |
8 | INTRODUCTION |
11 | Scope Normative references Definitions |
18 | Abbreviations Determination of setpoints |
19 | 5.1 Safety 5.2 Safety analysis 5.3 Limiting Safety System Setting (LSSS) 5.3.1 Channel uncertainty and trip setpoint |
22 | 5.3.2 Methodology of channel uncertainty determination 5.3.2.1 General 5.3.2.2 Conservative methodology 5.3.2.3 Alternative methodology |
23 | 5.3.3 Trip setpoint 5.3.4 Allowable value 5.4 Combination of uncertainties |
24 | 5.5 Operational considerations 5.6 Instrument channel range Documentation |
25 | Maintenance of safety system setpoints 7.1 General 7.2 Testing 7.3 Replacement |
28 | Annex A Annex A (informative) Example of setpoint determination A.1 Setpoint – Reactor high pressure |
30 | Annex B (informative) Comparison of the uncertainty calculation methodologies A.2 Uncertainty distribution functions A.3 Uncertainty combination methods A.3.1 ISA 67.04.01 or IEC 61888 Ed1 approach |
31 | A.3.2 GUM1995 approach |
32 | A.4 Example calculation A.4.1 Case 1: A.4.1.1 ISA67.04.01 Method: A.4.1.2 GUM1995 Approach A.4.2 Case 2: A.4.2.1 ISA67.04.01 Method: A.4.2.2 GUM1995 approach: |
33 | A.4.3 Case 3: A.4.3.1 ISA67.04.01 Method: A.4.3.2 GUM1995 approach: A.4.4 Case 4: A.4.4.1 ISA67.04.01 Method: A.4.4.2 GUM1995 approach: |
34 | A.4.5 Case 5: A.4.5.1 ISA67.04.01 Method: A.4.5.2 GUM1995 approach: A.5 Discussions |
36 | A.6 Comparison between IEC 61888 Ed1 and Ed2 |
37 | Annex C (informative) Example of Monte Carlo Simulation A.7 General A.8 Procedure of Monte Carlo Simulation A.8.1 Define the output element and input sources A.8.2 Modelling A.8.3 Estimate the probability density functions (PDFs) for the input elements A.8.4 Set up and run the Monte Carlo simulation |
38 | A.8.5 Summarize and express the results A.9 Example of Python program for Monte Carlo simulation of Case 4 in Annex B |
40 | Bibliography |