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BS EN 61511-3:2017

$215.11

Functional safety. Safety instrumented systems for the process industry sector – Guidance for the determination of the required safety integrity levels

Published By Publication Date Number of Pages
BSI 2017 106
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IEC 61511-3:2016 is available as /2 which contains the International Standard and its Redline version, showing all changes of the technical content compared to the previous edition. IEC 61511-3:2016 applies when functional safety is achieved using one or more SIF for the protection of either personnel, the general public, or the environment; may be applied in non-safety applications such as asset protection; illustrates typical hazard and risk assessment methods that may be carried out to define the safety functional requirements and SIL of each SIF; illustrates techniques/measures available for determining the required SIL; provides a framework for establishing SIL but does not specify the SIL required for specific applications; does not give examples of determining the requirements for other methods of risk reduction. This second edition cancels and replaces the first edition published in 2003. This edition constitutes a technical revision. This edition includes the following significant technical changes with respect to the previous edition: Additional H&RA example(s) and quantitative analysis consideration annexes are provided.

PDF Catalog

PDF Pages PDF Title
2 National foreword
7 English
CONTENTS
12 FOREWORD
14 INTRODUCTION
16 Figures
Figure 1 โ€“ Overall framework of the IECโ‚ฌ61511 series
17 1 Scope
18 2 Normative references
3 Terms, definitions and abbreviations
Figure 2 โ€“ Typical protection layers and risk reduction means
19 Annexes
Annex A (informative) Risk and safety integrity โ€“ general guidance
A.1 General
A.2 Necessary risk reduction
A.3 Role of safety instrumented systems
21 A.4 Risk and safety integrity
Figure A.1 โ€“ Risk reduction: general concepts
22 A.5 Allocation of safety requirements
A.6 Hazardous event, hazardous situation and harmful event
Figure A.2 โ€“ Risk and safety integrity concepts
23 A.7 Safety integrity levels
A.8 Selection of the method for determining the required safety integrity level
Figure A.3 โ€“ Harmful event progression
24 Figure A.4 โ€“ Allocation of safety requirements to the non-SIS protection layers and other protection layers
25 Annex B (informative) Semi-quantitative method โ€“ event tree analysis
B.1 Overview
B.2 Compliance with IEC 61511-1:2016
B.3 Example
B.3.1 General
26 B.3.2 Process safety target
B.3.3 Hazard analysis
Figure B.1 โ€“ Pressurized vessel with existing safety systems
27 B.3.4 Semi-quantitative risk analysis technique
Tables
Table B.1 โ€“ HAZOP study results
28 B.3.5 Risk analysis of existing process
29 Figure B.2 โ€“ Fault tree for overpressure of the vessel
30 B.3.6 Events that do not meet the process safety target
Figure B.3 โ€“ Hazardous events with existing safety systems
31 B.3.7 Risk reduction using other protection layers
B.3.8 Risk reduction using a safety instrumented function
32 Figure B.4 โ€“ Hazardous events with SIL 2 safety instrumented function
33 Annex C (informative) The safety layer matrix method
C.1 Overview
Figure C.1 โ€“ Protection layers
34 C.2 Process safety target
C.3 Hazard analysis
35 C.4 Risk analysis technique
36 C.5 Safety layer matrix
Table C.1 โ€“ Frequency of hazardous event likelihood (without considering PLs)
Table C.2 โ€“ Criteria for rating the severity of impact of hazardous events
37 C.6 General procedure
Figure C.2 โ€“ Example of safety layer matrix
39 Annex D (informative) A semi-qualitative method: calibrated risk graph
D.1 Overview
D.2 Risk graph synthesis
40 D.3 Calibration
Table D.1 โ€“ Descriptions of process industry risk graph parameters
41 D.4 Membership and organization of the team undertaking the SIL assessment
42 D.5 Documentation of results of SIL determination
D.6 Example calibration based on typical criteria
43 Figure D.1 โ€“ Risk graph: general scheme
44 Table D.2 โ€“ Example calibration of the general purpose risk graph
45 D.7 Using risk graphs where the consequences are environmental damage
Table D.3 โ€“ General environmental consequences
46 D.8 Using risk graphs where the consequences are asset loss
D.9 Determining the integrity level of instrument protection function where the consequences of failure involve more than one type of loss
Figure D.2 โ€“ Risk graph: environmental loss
47 Annex E (informative) A qualitative method: risk graph
E.1 General
E.2 Typical implementation of instrumented functions
48 E.3 Risk graph synthesis
E.4 Risk graph implementation: personnel protection
49 Figure E.1 โ€“ VDI/VDE 2180 Risk graph โ€“ personnel protection and relationship to SILs
50 E.5 Relevant issues to be considered during application of risk graphs
Table E.1 โ€“ Data relating to risk graph (see Figure E.1)
52 Annex F (informative) Layer of protection analysis (LOPA)
F.1 Overview
53 F.2 Impact event
F.3 Severity level
Table F.1 โ€“ HAZOP developed data for LOPA
54 F.4 Initiating cause
Figure F.1 โ€“ Layer of protection analysis (LOPA) report
Table F.2 โ€“ Impact event severity levels
55 F.5 Initiation likelihood
F.6 Protection layers
Table F.3 โ€“ Initiation likelihood
56 F.7 Additional mitigation
F.8 Independent protection layers (IPL)
Table F.4 โ€“ Typical protection layers (prevention and mitigation) PFDavg
57 F.9 Intermediate event likelihood
F.10 SIF integrity level
F.11 Mitigated event likelihood
F.12 Total risk
58 F.13 Example
F.13.1 General
F.13.2 Impact event and severity level
F.13.3 Initiating cause
F.13.4 Initiating likelihood
F.13.5 General process design
F.13.6 BPCS
F.13.7 Alarms
59 F.13.8 Additional mitigation
F.13.9 Independent protection layer(s) (IPL)
F.13.10 Intermediate event likelihood
F.13.11 SIS
F.13.12 Next SIF
61 Annex G (informative) Layer of protection analysis using a risk matrix
G.1 Overview
Figure G.1 โ€“ Layer of protection graphic highlighting proactive and reactive IPL
63 G.2 Procedure
G.2.1 General
G.2.2 Step 1: General Information and node definition
Figure G.2 โ€“ Work process used for Annex G
64 G.2.3 Step 2: Describe hazardous event
Figure G.3 โ€“ Example process node boundary for selected scenario
Table G.1 โ€“ Selected scenario from HAZOP worksheet
66 Table G.2 โ€“ Selected scenario from LOPA worksheet
67 G.2.4 Step 3: Evaluate initiating event frequency
68 G.2.5 Step 4: Determine hazardous event consequence severity and risk reduction factor
Table G.3 โ€“ Example initiating causes and associated frequency
69 G.2.6 Step 5: Identify independent protection layers and risk reduction factor
Table G.4 โ€“ Consequence severity decision table
Table G.5 โ€“ Risk reduction factor matrix
70 G.2.7 Step 6: Identify consequence mitigation systems and risk reduction factor
71 G.2.8 Step 7: Determine CMS risk gap
Table G.6 โ€“ Examples of independent protection layers (IPL) with associated risk reduction factors (RRF) and probability of failure on demand (PFD)
Table G.7 โ€“ Examples of consequence mitigation system (CMS) with associated risk reduction factors (RRF) and probability of failure on demand (PFD)
72 Figure G.4 โ€“ Acceptable secondary consequence risk
Figure G.5 โ€“ Unacceptable secondary consequence risk
73 Table G.8 โ€“ Step 7 LOPA worksheet (1 of 2)
74 G.2.9 Step 8: Determine scenario risk gap
G.2.10 Step 9: Make recommendations when needed
Figure G.6 โ€“ Managed secondary consequence risk
75 Table G.9 โ€“ Step 8 LOPA worksheet (1 of 2)
76 Annex H (informative) A qualitative approach for risk estimation & safety integrity level (SIL) assignment
H.1 Overview
77 Figure H.1 โ€“ Workflow of SIL assignment process
78 H.2 Risk estimation and SIL assignment
H.2.1 General
H.2.2 Hazard identification/indication
H.2.3 Risk estimation
Table H.1 โ€“ List of SIFs and hazardous events to be assessed
79 H.2.4 Consequence parameter selection (C) (Table H.2)
Figure H.2 โ€“ Parameters used in risk estimation
Table H.2 โ€“ Consequence parameter/severity level
80 H.2.5 Probability of occurrence of that harm
Table H.3 โ€“ Occupancy parameter/Exposure probability (F)
81 Table H.4 โ€“ Avoidance parameter/avoidance probability
82 H.2.6 Estimating probability of harm
H.2.7 SIL assignment
Table H.5 โ€“ Demand rate parameter (W)
83 Table H.6 โ€“ Risk graph matrix (SIL assignment form for safety instrumented functions)
Table H.7 โ€“ Example of consequence categories
85 Annex I (informative) Designing & calibrating a risk graph
I.1 Overview
I.2 Steps involved in risk graph design and calibration
I.3 Risk graph development
86 I.4 The risk graph parameters
I.4.1 Choosing parameters
I.4.2 Number of parameters
I.4.3 Parameter value
I.4.4 Parameter definition
Figure I.1 โ€“ Risk graph parameters to consider
87 I.4.5 Risk graph
I.4.6 Tolerable event frequencies (Tef) for each consequence
Figure I.2 โ€“ Illustration of a risk graph with parameters from Figure I.1
88 I.4.7 Calibration
89 I.4.8 Completion of the risk graph
90 Annex J (informative) Multiple safety systems
J.1 Overview
J.2 Notion of systemic dependencies
Figure J.1 โ€“ Conventional calculations
91 Figure J.2 โ€“ Accurate calculations
93 J.3 Semi-quantitative approaches
Figure J.3 โ€“ Redundant SIS
94 J.4 Boolean approaches
Figure J.4 โ€“ Corrective coefficients for hazardous event frequency calculations when the proof tests are performed at the same time
Figure J.5 โ€“ Expansion of the simple example
95 Figure J.6 โ€“ Fault tree modelling of the multi SIS presented in Figure J.5
96 Figure J.7 โ€“ Modelling CCF between SIS1 and SIS2
Figure J.8 โ€“ Effect of tests staggering
97 J.5 State-transition approach
Figure J.9 โ€“ Effect of partial stroking
98 Figure J.10 โ€“ Modelling of repair resource mobilisation
99 Figure J.11 โ€“ Example of output from Monte Carlo simulation
100 Figure J.12 โ€“ Impact of repairs due to shared repair resources
101 Annex K (informative) As low as reasonably practicable (ALARP) and tolerable risk concepts
K.1 General
K.2 ALARP model
K.2.1 Overview
102 K.2.2 Tolerable risk target
Figure K.1 โ€“ Tolerable risk and ALARP
103 Table K.1 โ€“ Example of risk classification of incidents
Table K.2 โ€“ Interpretation of risk classes
104 Bibliography
BS EN 61511-3:2017
$215.11