SlideShare a Scribd company logo
RISK ASSESSMENT
Chapter 11: Chemical Process Safety by Daniel A.
Crowl
MNIT Jaipur
Presented by:
Mayank Mehta Hardik K. Sharma
RISK ASSESSMENT
 Incident Identification
 How an accident occur?
 Probability analysis
 Consequence Analysis
 Analyse expected damage
(life, environment, capital)
2
DepartmentofChemicalEngineering
EXAMPLE 11.1
The water flow to a chemical reactor cooling coil is controlled by the
system shown in Figure. The flow is measured by a differential
pressure (DP) device, the controller decides on an appropriate
control strategy, and the control valve manipulates the flow of
coolant.
Determine the overall failure rate, the unreliability, the reliability, and the
MTBF for this system. Assume a 1-yr period of operation.
3
DepartmentofChemicalEngineering
MEANING OF TERMS
 Reliability
The probability that the component will not fail during
the time interval (0, t) is given by a Poisson
distribution R = exp(-μt)
 Unreliability:
The complement of the reliability is called the failure
probability (or sometimes the unreliability), P= 1-
R
 MTBF: mean time between failures
4
DepartmentofChemicalEngineering
SOLUTION
 These process components are related in series. Thus, if
any one of the components fails, the entire system fails.
Component Reliability
R = exp(-μt)
Failure
Probability
P = 1 - R
Faliure rate
(faults/yr) p
Control valve 0.55 0.45 0.60
Controller 0.75 0.25 0.29
DP Cell 0.24 0.76 1.41
5
DepartmentofChemicalEngineering
 The overall reliability for components in series:
R = R1.R2.R3 = 0.55* 0.75*0*24 = 0.10
 The failure probability:
 Overall failure rate:
0.10 = exp(-μ)
μ = -ln(0.10) = 2.30 failures/yr
 MTBF:
P = 1 - R = 1 - 0.10 = 0.901yr
MTBF = 1/μ = 0.43 yr.
This system is expected to fail, on average, once every 0.43 yr
6
DepartmentofChemicalEngineering
EXAMPLE 11.2
A diagram of the safety systems in a certain chemical reactor
is shown in Figure. This reactor contains a high-pressure
alarm to alert the operator in th event of dangerous reactor
pressures. It consists of a pressure switch within the reactor
connected to an alarm light indicator.
For additional safety an automatic high-pressure reactor
shutdown system is installed. This system is activated at a
pressure somewhat higher than the alarm system and
consists of a pressure switch connected to a
solenoid valve in the reactor feed line.
The automatic system stops the flow of reactant in the event
of dangerous pressures. Compute the overall failure rate, the
failure probability, the reliability, and the MTBF for a high-
pressure condition. Assume a I-yr period of operation.
7
DepartmentofChemicalEngineering
8
DepartmentofChemicalEngineering
SOLUTION:
A dangerous high-pressure reactor situation occurs only when both the alarm system and
the shutdown system fail. These two components are in parallel. For the alarm system the
components are in series:
9
DepartmentofChemicalEngineering
For the shutdown system the components are also in series:
The two systems are combined using Equation 11-6:
For the alarm system alone a failure is expected once every 5.5 yr. Similarly, for a
reactor with a highpressure shutdown system alone, a failure is expected once every
1.80 yr. However, with both systems in parallel the MTBF is significantly improved and
a combined failure is expected every 13.7 yr.
10
DepartmentofChemicalEngineering
REVEALED AND UNREVEALED FAILURES
 The equipment to fail without the operator being
aware of the situation. This is called an unrevealed
failure.
 Failures that are immediately obvious are called
revealed failures.
 A flat tire on car = revealed failure
a flat spare tire = unrevealed failure
11
DepartmentofChemicalEngineering
τr = (1/n)* ∑ τri
τo = (1/n)* ∑ τro
n is the number of times the failure
τri is the period for repair for a particular
failure
O=operational
MTBF = 1/ μ = τr + τ0
τi= inspection interval
12
DepartmentofChemicalEngineering
 availability and unavailability
A + U = 1
A= availability , U = unavailability
A = τ0 / (τr + τ0) = μ * τ0
U = τr / (τr + τ0) = μ * τr
U= 0.5* μ * τi
13
DepartmentofChemicalEngineering
EXAMPLE 11.3
 Compute the availability and the unavailability for
both the alarm and the shutdown systems of
Example 11-2. Assume that a maintenance
inspection occurs once every month and that the
repair time is negligible.
 Solution:
Both systems: unrevealed failures
For the alarm system the failure rate is μ = 0.18
faultslyr.
The inspection period is 1/12 = 0.083 yr. 14
DepartmentofChemicalEngineering
 U= 0.5* μ * τi
= 0.5*0.18*0.083
= 0.0075
A= 1- U = 0.992
The alarm system is available 99.2% of the time.
 For the shutdown system, μ = 0.55 faultslyr
 U= 0.5* μ * τi
= 0.5*0.55*0.083
= 0.023
A= 1- U = 0.977
The shutdown system is available 97.7% of the time. 15
DepartmentofChemicalEngineering
FAULT TREES
Wide application in
Nuclear Plants and
Aerospace industries.
16
DepartmentofChemicalEngineering
EXAMPLE: FAULT TREE FOR EX.2
Alarm and Shutdown System
 Top event: Damage to reactor as a result of over
pressuring.
 Existing event: High process pressure.
 Unallowed events: Failure of mixer, electrical
failures, wiring failures, tornadoes, hurricanes,
electrical storms.
 Equipment configuration: Solenoid valve open,
reactor feed flowing.
17
DepartmentofChemicalEngineering
FAULT TREE
A= AND gate
B,C= OR gate
18
DepartmentofChemicalEngineering
MINIMAL CUT SETS FOR THE FAULT TREE
The different unique sets of events
leading to the top event are the minimal
cut sets
A
A B C
A B 1 C
2 C
A B 1 C 3
2 C
1 4
A B 1 C 3
2 C 3
1 4
2 4
1, 3
2, 3
1, 4
2, 4
19
DepartmentofChemicalEngineering
EVENT TREES
When an accident occurs in a plant, various safety systems come into
play to prevent the accident from propagating.
The event tree approach includes the effects of an event initiation
followed by the impact of the safety systems.
The typical steps in an event tree analysis are :-
1. Identify an initiating event of interest,
2. Identify the safety functions designed to deal with the initiating event,
3. Construct the event tree, and
4. Describe the resulting accident event sequences
20
DepartmentofChemicalEngineering
Reactor with high-temperature alarm and temperature controller System:-
21
DepartmentofChemicalEngineering
EVENT TREE COMPONENTS :
INITIATING EVENT- loss-of-coolant
SAFETY FUNCTIONS:
• The first safety function is the high-temperature alarm.
• The second safety function is the operator noticing the high reactor temperature
during normal inspection.
• The third safety function is the operator re-establishing the coolant flow
by correcting the problem in time.
• The final safety function is invoked by the operator performing an emergency
shutdown of the reactor.
22
DepartmentofChemicalEngineering
Fig. : Event Tree for a Loss-of-coolent accident for the Reactor
23
DepartmentofChemicalEngineering
LAYER OF PROTECTION ANALYSIS
 LOPA is a semi-quantitative tool for analyzing and
assessing risk.
 This method includes simplified methods to
characterize the consequences and estimate the
frequencies.
 Various layers of protection are added to a process,
for example, to lower the frequency of the
undesired consequences.
24
DepartmentofChemicalEngineering
25
DepartmentofChemicalEngineering
26
DepartmentofChemicalEngineering
RISK ASSESSMENT
Chapter 11: Chemical Process Safety by Daniel A. Crowl
MNIT Jaipur
Presented by:
Mayank Mehta Hardik K. Sharma

More Related Content

What's hot

Troubleshooting in Distillation Columns
Troubleshooting in Distillation ColumnsTroubleshooting in Distillation Columns
Troubleshooting in Distillation Columns
Gerard B. Hawkins
 
Introduction to plant design economics
Introduction to plant design economicsIntroduction to plant design economics
Introduction to plant design economics
Sunita Jobli
 
Difference between batch,mixed flow & plug-flow reactor
Difference between  batch,mixed flow & plug-flow reactorDifference between  batch,mixed flow & plug-flow reactor
Difference between batch,mixed flow & plug-flow reactor
Usman Shah
 
14 Tips for Process Safety Management
14 Tips for Process Safety Management14 Tips for Process Safety Management
14 Tips for Process Safety Management
Verde Ventures Pvt. Ltd.
 
Fire and Explosion Hazards in Dryers
Fire and Explosion Hazards in DryersFire and Explosion Hazards in Dryers
Fire and Explosion Hazards in Dryers
Gerard B. Hawkins
 
Hazop leaders manual final
Hazop leaders manual finalHazop leaders manual final
Hazop leaders manual finalumar farooq
 
Intro To Vacuum Systems
Intro To Vacuum SystemsIntro To Vacuum Systems
Intro To Vacuum Systems
Laurie Anne Passini
 
Psv scenario-and-calculation
Psv scenario-and-calculationPsv scenario-and-calculation
Psv scenario-and-calculation
ChingLuh Nike
 
Hazard and Operability Study (HAZOP) | Gaurav Singh Rajput
Hazard and Operability Study (HAZOP) | Gaurav Singh RajputHazard and Operability Study (HAZOP) | Gaurav Singh Rajput
Hazard and Operability Study (HAZOP) | Gaurav Singh Rajput
Gaurav Singh Rajput
 
Hazop analysis
Hazop analysisHazop analysis
Hazop analysis
Anand Kumar
 
FAULT & EVENT TREE ANALYSIS
FAULT & EVENT TREE ANALYSISFAULT & EVENT TREE ANALYSIS
FAULT & EVENT TREE ANALYSIS
Nitesh Dongare
 
Gas Flare Stack Process
Gas Flare Stack ProcessGas Flare Stack Process
Gas Flare Stack Process
Shad Ibrahim
 
Preliminary hazard analysis (pha)
Preliminary hazard analysis (pha)Preliminary hazard analysis (pha)
Preliminary hazard analysis (pha)
دكتور تامر عبدالله شراكى
 
Hazop Study
Hazop StudyHazop Study
Hazop Study
Martin Shija
 
101 Things That Can Go Wrong on a Primary Reformer - Best Practices Guide
101 Things That Can Go Wrong on a Primary Reformer -  Best Practices Guide101 Things That Can Go Wrong on a Primary Reformer -  Best Practices Guide
101 Things That Can Go Wrong on a Primary Reformer - Best Practices Guide
Gerard B. Hawkins
 
Relief systems
Relief systemsRelief systems
Relief systems
A Ramesh Babu
 
“Antisurge Protection in action” for Compressors By Prem Baboo.pdf
“Antisurge Protection in action” for Compressors By Prem Baboo.pdf“Antisurge Protection in action” for Compressors By Prem Baboo.pdf
“Antisurge Protection in action” for Compressors By Prem Baboo.pdf
PremBaboo4
 
Hazop Study
Hazop StudyHazop Study
Hazop Study
Ihsan Wassan
 

What's hot (20)

Troubleshooting in Distillation Columns
Troubleshooting in Distillation ColumnsTroubleshooting in Distillation Columns
Troubleshooting in Distillation Columns
 
Introduction to plant design economics
Introduction to plant design economicsIntroduction to plant design economics
Introduction to plant design economics
 
Unit 5 risk assessment and management
Unit 5 risk assessment and managementUnit 5 risk assessment and management
Unit 5 risk assessment and management
 
Difference between batch,mixed flow & plug-flow reactor
Difference between  batch,mixed flow & plug-flow reactorDifference between  batch,mixed flow & plug-flow reactor
Difference between batch,mixed flow & plug-flow reactor
 
14 Tips for Process Safety Management
14 Tips for Process Safety Management14 Tips for Process Safety Management
14 Tips for Process Safety Management
 
Fire and Explosion Hazards in Dryers
Fire and Explosion Hazards in DryersFire and Explosion Hazards in Dryers
Fire and Explosion Hazards in Dryers
 
Hazop leaders manual final
Hazop leaders manual finalHazop leaders manual final
Hazop leaders manual final
 
Intro To Vacuum Systems
Intro To Vacuum SystemsIntro To Vacuum Systems
Intro To Vacuum Systems
 
Psv scenario-and-calculation
Psv scenario-and-calculationPsv scenario-and-calculation
Psv scenario-and-calculation
 
Hazard and Operability Study (HAZOP) | Gaurav Singh Rajput
Hazard and Operability Study (HAZOP) | Gaurav Singh RajputHazard and Operability Study (HAZOP) | Gaurav Singh Rajput
Hazard and Operability Study (HAZOP) | Gaurav Singh Rajput
 
Hazop analysis
Hazop analysisHazop analysis
Hazop analysis
 
FAULT & EVENT TREE ANALYSIS
FAULT & EVENT TREE ANALYSISFAULT & EVENT TREE ANALYSIS
FAULT & EVENT TREE ANALYSIS
 
Gas Flare Stack Process
Gas Flare Stack ProcessGas Flare Stack Process
Gas Flare Stack Process
 
Preliminary hazard analysis (pha)
Preliminary hazard analysis (pha)Preliminary hazard analysis (pha)
Preliminary hazard analysis (pha)
 
Hazop Study
Hazop StudyHazop Study
Hazop Study
 
101 Things That Can Go Wrong on a Primary Reformer - Best Practices Guide
101 Things That Can Go Wrong on a Primary Reformer -  Best Practices Guide101 Things That Can Go Wrong on a Primary Reformer -  Best Practices Guide
101 Things That Can Go Wrong on a Primary Reformer - Best Practices Guide
 
Relief systems
Relief systemsRelief systems
Relief systems
 
“Antisurge Protection in action” for Compressors By Prem Baboo.pdf
“Antisurge Protection in action” for Compressors By Prem Baboo.pdf“Antisurge Protection in action” for Compressors By Prem Baboo.pdf
“Antisurge Protection in action” for Compressors By Prem Baboo.pdf
 
Hazop Study
Hazop StudyHazop Study
Hazop Study
 
Overview of pollution from refineries
Overview of pollution from refineriesOverview of pollution from refineries
Overview of pollution from refineries
 

Similar to Risk assessment (Chapter 11, Crowl)

Group2 loca to test
Group2 loca to testGroup2 loca to test
Group2 loca to test
congthan1
 
Simplifying Plant Safety Instrumentation
Simplifying Plant Safety InstrumentationSimplifying Plant Safety Instrumentation
Simplifying Plant Safety Instrumentation
Miller Energy, Inc.
 
Difference between en iso 13849 and en iec 62061
Difference between en iso 13849 and en iec 62061Difference between en iso 13849 and en iec 62061
Difference between en iso 13849 and en iec 62061
Massimo Talia
 
Process safety risk analysis of a gas compression plant in Brindisi, Italy.
Process safety risk analysis of a gas compression plant in Brindisi, Italy.Process safety risk analysis of a gas compression plant in Brindisi, Italy.
Process safety risk analysis of a gas compression plant in Brindisi, Italy.
Justice Okoroma
 
Describing function based controller for stiction
Describing function based controller for stictionDescribing function based controller for stiction
Describing function based controller for stiction
eSAT Publishing House
 
Estimating Reliability of Power Factor Correction Circuits: A Comparative Study
Estimating Reliability of Power Factor Correction Circuits: A Comparative StudyEstimating Reliability of Power Factor Correction Circuits: A Comparative Study
Estimating Reliability of Power Factor Correction Circuits: A Comparative Study
IJERA Editor
 
Implementation of redundancy in the effective regulation of temperature in an...
Implementation of redundancy in the effective regulation of temperature in an...Implementation of redundancy in the effective regulation of temperature in an...
Implementation of redundancy in the effective regulation of temperature in an...
IOSR Journals
 
Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...
Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...
Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...
theijes
 
Examen tema1 proceso_mat_lab_simulink_
Examen tema1 proceso_mat_lab_simulink_Examen tema1 proceso_mat_lab_simulink_
Examen tema1 proceso_mat_lab_simulink_
Oswaldo Criollo Ortiz
 
Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)
Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)
Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)
Mathankumar S
 
A CASE STUDY ON RELIABLITY MAINTENANCE
A CASE STUDY ON RELIABLITY MAINTENANCEA CASE STUDY ON RELIABLITY MAINTENANCE
A CASE STUDY ON RELIABLITY MAINTENANCEZubair Ali ali
 
Domino Effect and Analysis | Relaibility Analysis | Unavailability Analysis
Domino Effect and Analysis | Relaibility Analysis | Unavailability AnalysisDomino Effect and Analysis | Relaibility Analysis | Unavailability Analysis
Domino Effect and Analysis | Relaibility Analysis | Unavailability Analysis
Gaurav Singh Rajput
 
Domino Effect and Analysis | Gaurav Singh Rajput
Domino Effect and Analysis | Gaurav Singh RajputDomino Effect and Analysis | Gaurav Singh Rajput
Domino Effect and Analysis | Gaurav Singh Rajput
Gaurav Singh Rajput
 
Ece4510 notes01
Ece4510 notes01Ece4510 notes01
Ece4510 notes01
K. M. Shahrear Hyder
 
1675091151425_Process Management Risk.pptx
1675091151425_Process Management Risk.pptx1675091151425_Process Management Risk.pptx
1675091151425_Process Management Risk.pptx
ZerayacobTeklearegay
 
protectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.pptprotectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.ppt
Thien Phan Bản
 
protectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.pptprotectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.ppt
Thien Phan Bản
 
Power system Protection Services in India
Power system Protection Services in IndiaPower system Protection Services in India
Power system Protection Services in India
System Protection
 
IRJET- Location Identification for FACTs Device
IRJET- Location Identification for FACTs DeviceIRJET- Location Identification for FACTs Device
IRJET- Location Identification for FACTs Device
IRJET Journal
 
MIS_Ch_1_for_studentsNew.pdf
MIS_Ch_1_for_studentsNew.pdfMIS_Ch_1_for_studentsNew.pdf
MIS_Ch_1_for_studentsNew.pdf
ShivajiThube2
 

Similar to Risk assessment (Chapter 11, Crowl) (20)

Group2 loca to test
Group2 loca to testGroup2 loca to test
Group2 loca to test
 
Simplifying Plant Safety Instrumentation
Simplifying Plant Safety InstrumentationSimplifying Plant Safety Instrumentation
Simplifying Plant Safety Instrumentation
 
Difference between en iso 13849 and en iec 62061
Difference between en iso 13849 and en iec 62061Difference between en iso 13849 and en iec 62061
Difference between en iso 13849 and en iec 62061
 
Process safety risk analysis of a gas compression plant in Brindisi, Italy.
Process safety risk analysis of a gas compression plant in Brindisi, Italy.Process safety risk analysis of a gas compression plant in Brindisi, Italy.
Process safety risk analysis of a gas compression plant in Brindisi, Italy.
 
Describing function based controller for stiction
Describing function based controller for stictionDescribing function based controller for stiction
Describing function based controller for stiction
 
Estimating Reliability of Power Factor Correction Circuits: A Comparative Study
Estimating Reliability of Power Factor Correction Circuits: A Comparative StudyEstimating Reliability of Power Factor Correction Circuits: A Comparative Study
Estimating Reliability of Power Factor Correction Circuits: A Comparative Study
 
Implementation of redundancy in the effective regulation of temperature in an...
Implementation of redundancy in the effective regulation of temperature in an...Implementation of redundancy in the effective regulation of temperature in an...
Implementation of redundancy in the effective regulation of temperature in an...
 
Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...
Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...
Failure Analysis of Feedstock Preheater Unit of the Kaduna Refinery using Fai...
 
Examen tema1 proceso_mat_lab_simulink_
Examen tema1 proceso_mat_lab_simulink_Examen tema1 proceso_mat_lab_simulink_
Examen tema1 proceso_mat_lab_simulink_
 
Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)
Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)
Biomedical Control Systems - Time Response Analysis (Short Questions & Answers)
 
A CASE STUDY ON RELIABLITY MAINTENANCE
A CASE STUDY ON RELIABLITY MAINTENANCEA CASE STUDY ON RELIABLITY MAINTENANCE
A CASE STUDY ON RELIABLITY MAINTENANCE
 
Domino Effect and Analysis | Relaibility Analysis | Unavailability Analysis
Domino Effect and Analysis | Relaibility Analysis | Unavailability AnalysisDomino Effect and Analysis | Relaibility Analysis | Unavailability Analysis
Domino Effect and Analysis | Relaibility Analysis | Unavailability Analysis
 
Domino Effect and Analysis | Gaurav Singh Rajput
Domino Effect and Analysis | Gaurav Singh RajputDomino Effect and Analysis | Gaurav Singh Rajput
Domino Effect and Analysis | Gaurav Singh Rajput
 
Ece4510 notes01
Ece4510 notes01Ece4510 notes01
Ece4510 notes01
 
1675091151425_Process Management Risk.pptx
1675091151425_Process Management Risk.pptx1675091151425_Process Management Risk.pptx
1675091151425_Process Management Risk.pptx
 
protectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.pptprotectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.ppt
 
protectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.pptprotectionsettings-120425102109-phpapp01.ppt
protectionsettings-120425102109-phpapp01.ppt
 
Power system Protection Services in India
Power system Protection Services in IndiaPower system Protection Services in India
Power system Protection Services in India
 
IRJET- Location Identification for FACTs Device
IRJET- Location Identification for FACTs DeviceIRJET- Location Identification for FACTs Device
IRJET- Location Identification for FACTs Device
 
MIS_Ch_1_for_studentsNew.pdf
MIS_Ch_1_for_studentsNew.pdfMIS_Ch_1_for_studentsNew.pdf
MIS_Ch_1_for_studentsNew.pdf
 

Recently uploaded

weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
Pratik Pawar
 
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdfThe Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
Nettur Technical Training Foundation
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
SUTEJAS
 
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)
ClaraZara1
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
AmarGB2
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
Fundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptxFundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptx
manasideore6
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 
Unbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptxUnbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptx
ChristineTorrepenida1
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
Kerry Sado
 
Water billing management system project report.pdf
Water billing management system project report.pdfWater billing management system project report.pdf
Water billing management system project report.pdf
Kamal Acharya
 
Steel & Timber Design according to British Standard
Steel & Timber Design according to British StandardSteel & Timber Design according to British Standard
Steel & Timber Design according to British Standard
AkolbilaEmmanuel1
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
Amil Baba Dawood bangali
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
PPT on GRP pipes manufacturing and testing
PPT on GRP pipes manufacturing and testingPPT on GRP pipes manufacturing and testing
PPT on GRP pipes manufacturing and testing
anoopmanoharan2
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Dr.Costas Sachpazis
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 

Recently uploaded (20)

weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdfThe Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
 
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Fundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptxFundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptx
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 
Unbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptxUnbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptx
 
Hierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power SystemHierarchical Digital Twin of a Naval Power System
Hierarchical Digital Twin of a Naval Power System
 
Water billing management system project report.pdf
Water billing management system project report.pdfWater billing management system project report.pdf
Water billing management system project report.pdf
 
Steel & Timber Design according to British Standard
Steel & Timber Design according to British StandardSteel & Timber Design according to British Standard
Steel & Timber Design according to British Standard
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
PPT on GRP pipes manufacturing and testing
PPT on GRP pipes manufacturing and testingPPT on GRP pipes manufacturing and testing
PPT on GRP pipes manufacturing and testing
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 

Risk assessment (Chapter 11, Crowl)

  • 1. RISK ASSESSMENT Chapter 11: Chemical Process Safety by Daniel A. Crowl MNIT Jaipur Presented by: Mayank Mehta Hardik K. Sharma
  • 2. RISK ASSESSMENT  Incident Identification  How an accident occur?  Probability analysis  Consequence Analysis  Analyse expected damage (life, environment, capital) 2 DepartmentofChemicalEngineering
  • 3. EXAMPLE 11.1 The water flow to a chemical reactor cooling coil is controlled by the system shown in Figure. The flow is measured by a differential pressure (DP) device, the controller decides on an appropriate control strategy, and the control valve manipulates the flow of coolant. Determine the overall failure rate, the unreliability, the reliability, and the MTBF for this system. Assume a 1-yr period of operation. 3 DepartmentofChemicalEngineering
  • 4. MEANING OF TERMS  Reliability The probability that the component will not fail during the time interval (0, t) is given by a Poisson distribution R = exp(-μt)  Unreliability: The complement of the reliability is called the failure probability (or sometimes the unreliability), P= 1- R  MTBF: mean time between failures 4 DepartmentofChemicalEngineering
  • 5. SOLUTION  These process components are related in series. Thus, if any one of the components fails, the entire system fails. Component Reliability R = exp(-μt) Failure Probability P = 1 - R Faliure rate (faults/yr) p Control valve 0.55 0.45 0.60 Controller 0.75 0.25 0.29 DP Cell 0.24 0.76 1.41 5 DepartmentofChemicalEngineering
  • 6.  The overall reliability for components in series: R = R1.R2.R3 = 0.55* 0.75*0*24 = 0.10  The failure probability:  Overall failure rate: 0.10 = exp(-μ) μ = -ln(0.10) = 2.30 failures/yr  MTBF: P = 1 - R = 1 - 0.10 = 0.901yr MTBF = 1/μ = 0.43 yr. This system is expected to fail, on average, once every 0.43 yr 6 DepartmentofChemicalEngineering
  • 7. EXAMPLE 11.2 A diagram of the safety systems in a certain chemical reactor is shown in Figure. This reactor contains a high-pressure alarm to alert the operator in th event of dangerous reactor pressures. It consists of a pressure switch within the reactor connected to an alarm light indicator. For additional safety an automatic high-pressure reactor shutdown system is installed. This system is activated at a pressure somewhat higher than the alarm system and consists of a pressure switch connected to a solenoid valve in the reactor feed line. The automatic system stops the flow of reactant in the event of dangerous pressures. Compute the overall failure rate, the failure probability, the reliability, and the MTBF for a high- pressure condition. Assume a I-yr period of operation. 7 DepartmentofChemicalEngineering
  • 9. SOLUTION: A dangerous high-pressure reactor situation occurs only when both the alarm system and the shutdown system fail. These two components are in parallel. For the alarm system the components are in series: 9 DepartmentofChemicalEngineering
  • 10. For the shutdown system the components are also in series: The two systems are combined using Equation 11-6: For the alarm system alone a failure is expected once every 5.5 yr. Similarly, for a reactor with a highpressure shutdown system alone, a failure is expected once every 1.80 yr. However, with both systems in parallel the MTBF is significantly improved and a combined failure is expected every 13.7 yr. 10 DepartmentofChemicalEngineering
  • 11. REVEALED AND UNREVEALED FAILURES  The equipment to fail without the operator being aware of the situation. This is called an unrevealed failure.  Failures that are immediately obvious are called revealed failures.  A flat tire on car = revealed failure a flat spare tire = unrevealed failure 11 DepartmentofChemicalEngineering
  • 12. τr = (1/n)* ∑ τri τo = (1/n)* ∑ τro n is the number of times the failure τri is the period for repair for a particular failure O=operational MTBF = 1/ μ = τr + τ0 τi= inspection interval 12 DepartmentofChemicalEngineering
  • 13.  availability and unavailability A + U = 1 A= availability , U = unavailability A = τ0 / (τr + τ0) = μ * τ0 U = τr / (τr + τ0) = μ * τr U= 0.5* μ * τi 13 DepartmentofChemicalEngineering
  • 14. EXAMPLE 11.3  Compute the availability and the unavailability for both the alarm and the shutdown systems of Example 11-2. Assume that a maintenance inspection occurs once every month and that the repair time is negligible.  Solution: Both systems: unrevealed failures For the alarm system the failure rate is μ = 0.18 faultslyr. The inspection period is 1/12 = 0.083 yr. 14 DepartmentofChemicalEngineering
  • 15.  U= 0.5* μ * τi = 0.5*0.18*0.083 = 0.0075 A= 1- U = 0.992 The alarm system is available 99.2% of the time.  For the shutdown system, μ = 0.55 faultslyr  U= 0.5* μ * τi = 0.5*0.55*0.083 = 0.023 A= 1- U = 0.977 The shutdown system is available 97.7% of the time. 15 DepartmentofChemicalEngineering
  • 16. FAULT TREES Wide application in Nuclear Plants and Aerospace industries. 16 DepartmentofChemicalEngineering
  • 17. EXAMPLE: FAULT TREE FOR EX.2 Alarm and Shutdown System  Top event: Damage to reactor as a result of over pressuring.  Existing event: High process pressure.  Unallowed events: Failure of mixer, electrical failures, wiring failures, tornadoes, hurricanes, electrical storms.  Equipment configuration: Solenoid valve open, reactor feed flowing. 17 DepartmentofChemicalEngineering
  • 18. FAULT TREE A= AND gate B,C= OR gate 18 DepartmentofChemicalEngineering
  • 19. MINIMAL CUT SETS FOR THE FAULT TREE The different unique sets of events leading to the top event are the minimal cut sets A A B C A B 1 C 2 C A B 1 C 3 2 C 1 4 A B 1 C 3 2 C 3 1 4 2 4 1, 3 2, 3 1, 4 2, 4 19 DepartmentofChemicalEngineering
  • 20. EVENT TREES When an accident occurs in a plant, various safety systems come into play to prevent the accident from propagating. The event tree approach includes the effects of an event initiation followed by the impact of the safety systems. The typical steps in an event tree analysis are :- 1. Identify an initiating event of interest, 2. Identify the safety functions designed to deal with the initiating event, 3. Construct the event tree, and 4. Describe the resulting accident event sequences 20 DepartmentofChemicalEngineering
  • 21. Reactor with high-temperature alarm and temperature controller System:- 21 DepartmentofChemicalEngineering
  • 22. EVENT TREE COMPONENTS : INITIATING EVENT- loss-of-coolant SAFETY FUNCTIONS: • The first safety function is the high-temperature alarm. • The second safety function is the operator noticing the high reactor temperature during normal inspection. • The third safety function is the operator re-establishing the coolant flow by correcting the problem in time. • The final safety function is invoked by the operator performing an emergency shutdown of the reactor. 22 DepartmentofChemicalEngineering
  • 23. Fig. : Event Tree for a Loss-of-coolent accident for the Reactor 23 DepartmentofChemicalEngineering
  • 24. LAYER OF PROTECTION ANALYSIS  LOPA is a semi-quantitative tool for analyzing and assessing risk.  This method includes simplified methods to characterize the consequences and estimate the frequencies.  Various layers of protection are added to a process, for example, to lower the frequency of the undesired consequences. 24 DepartmentofChemicalEngineering
  • 26. 26 DepartmentofChemicalEngineering RISK ASSESSMENT Chapter 11: Chemical Process Safety by Daniel A. Crowl MNIT Jaipur Presented by: Mayank Mehta Hardik K. Sharma

Editor's Notes

  1. All failures in either the alarm or the shutdown system are immediately obvious to the operator and are fixed in a negligible amount of time Emergency alarms and shutdown systems are used only when a dangerous situation occurs.
  2. O=operational r=repair i= inspectional interval u=unrevealed