W13C - Fire and Explosion(5) - Explosion Risk Analysis

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  • Korea Advanced Institute ofScience and Technology

    OSE551 Reliability and Risk Analysis for Offshore Plants

    Daejun CHANG ([email protected])

    Division of Ocean Systems Engineering

    Fire and Explosion- Explosion Risk Analysis

  • -1- Ocean Systems EngineeringProf. Daejun CHANG

    FundamentalsFundamentals

  • -2- Ocean Systems EngineeringProf. Daejun CHANG

    Fire (Explosion) TriangleFire (Explosion) Triangle

    Fuel

    Ignition source

    Air (oxygen)

    Fire/Explosion

    Sparks, flames, static electricity, heat

    Since air always exists for open-air explosion, we focus on the coexistence of the fuel and ignition source.

  • -3- Ocean Systems EngineeringProf. Daejun CHANG

    Concept of Explosion Risk AssessmentConcept of Explosion Risk Assessment

    Risk = Consequence x FrequencyConsequence = overpressure Frequency f = fcloud x fign

    fcloud : Frequency that the cloud exists at the point.fign: Frequency that the ignition source exists at the point.

  • -4- Ocean Systems EngineeringProf. Daejun CHANG

    Some realSome real--world issuesworld issues

    The cloud size is changing with time. Leak Dispersion Cloud formation Dilution by air ESD (process isolation) and EDP (blowdown) changes the leak

    rate.

    The ignition frequency is changing with time. Ignition frequency depends on the number of equipment,

    electrical instrument, hot work etc. Upon detection of the gas, the ESD system stops the electrical

    supply to the system (electric isolation).

    In consequence, the explosion risk changes with time.

  • -5- Ocean Systems EngineeringProf. Daejun CHANG

    Time DependenceTime Dependence

  • -6- Ocean Systems EngineeringProf. Daejun CHANG

    Leak rate with timeLeak rate with time

    Time, s

    Leak rate, kg/s

    On set of leak

    Gas detection &Process isolation

    Emergency depressurization(blowdown)

  • -7- Ocean Systems EngineeringProf. Daejun CHANG

    Gas volume with timeGas volume with time

    Time, s

    Leak rate, kg/sGas volume, m3

    On set of leak

    Gas detection &Process isolation

    Emergency depressurization(blowdown)

    Dilution by ventilation

  • -8- Ocean Systems EngineeringProf. Daejun CHANG

    Ignition density with timeIgnition density with time

    Time, s

    Leak rate, kg/sGas volume, m3Ignition density

    On set of leak

    Gas detection &Process isolation

    Emergency depressurization(blowdown)

    Dilution by ventilation

  • -9- Ocean Systems EngineeringProf. Daejun CHANG

    Explosion frequency with timeExplosion frequency with time

    Time, s

    Explosion frequency Gas volume, m3Ignition density Small because of low ignition density

    Small because of low cloud size

  • -10- Ocean Systems EngineeringProf. Daejun CHANG

    Cloud Size EstimationCloud Size Estimation

  • -11- Ocean Systems EngineeringProf. Daejun CHANG

    Cloud size estimationCloud size estimation

    Do we have to estimate the cloud size for all leak rates? 8 representative leak rates by NORSOK Standard Z-013:

    0.75, 1.5, 3, 6, 12, 24, 48, 96 kg/s

    Do we have to simulate all the leak rates? Usually, some of them are simulated and the others

    interpolated Simulated: 0.75, 1.5, 3, 6, 12, 24, 48, 96 kg/s Interpolated: 0.75, 1.5, 3, 6, 12, 24, 48, 96 kg/s

    What situation do we have to simulate? All the scenarios including ESD and EDP?

    Numerous simulation cases Frozen cloud assumption!

  • -12- Ocean Systems EngineeringProf. Daejun CHANG

    Frozen cloud assumptionFrozen cloud assumption

    Time, s

    Leak rate, kg/sGas volume, m3

    On set of leak

    Leak rate

    The cloud size is just dependent on the leak rate at the moment.That implies the cloud size is independent of its history.Is it justifiable?

    Cloud size

  • -13- Ocean Systems EngineeringProf. Daejun CHANG

    Effect of Wind and Leak DirectionEffect of Wind and Leak Direction

  • -14- Ocean Systems EngineeringProf. Daejun CHANG

    Combined effects of leak direction and windCombined effects of leak direction and wind

    The leak has direction as well as rate. Leak to the inside vs. Leak to the outsideThe former is the more destructive.

    Wind has both magnitude (speed) and direction High wind speed

    - High dilution rate- Wider dispersion

    Wind direction- The effect of the wind direction depends on the leak position.

  • -15- Ocean Systems EngineeringProf. Daejun CHANG

    An approach to the combined effectsAn approach to the combined effects

    As the leak rate, we cannot simulate all the cases depending on Leak rate Leak direction Leak position Wind direction Wind speed

  • -16- Ocean Systems EngineeringProf. Daejun CHANG

    An approach to the combined effectsAn approach to the combined effects

    Approaches There are Nleak,pos leak positions. For each position, there are Nleak,dir leak directions. For each leak direction, there are Nleak,rate reference leak rates. For each rate, there are Nwind,dir wind directions. For each wind direction, there are Nwind,spd wind speed.

    For example: Total simulation cases = Nleak,pos x Nleak,dir x Nleak,rate x Nwind,dir x Nwind,spd= 4 2 8 3 5 = 960= 4 2 4 3 2 = 192

    if interpolation is used based on the frozen cloud assumption

  • -17- Ocean Systems EngineeringProf. Daejun CHANG

    An approach to the combined effectsAn approach to the combined effects

    Simulation and interpolationLeak position: Deck 1 (D)

    Leak direction: North (N)Wind Direction: North-South (NS)

    Frequency 0.071 0.0064 0.005 0.0036 0.0022 0.0008 0.0003 0.0001

    Probability Leak Rate

    Wind Speed 0.75 1.5 3 6 12 24 48 96

    0.03 1.5 DNNS11 DNNS12 DNNS13 DNNS14 DNNS15 DNNS16 DNNS17 DNNS18

    0.09 4 DNNS21 DNNS22 DNNS23 DNNS24 DNNS25 DNNS26 DNNS27 DNNS28

    0.05 6 DNNS31 DNNS32 DNNS33 DNNS34 DNNS35 DNNS36 DNNS37 DNNS38

    0.02 8 DNNS41 DNNS42 DNNS43 DNNS44 DNNS45 DNNS46 DNNS47 DNNS48

    0.01 12 DNNS51 DNNS52 DNNS53 DNNS54 DNNS55 DNNS56 DNNS57 DNNS58

  • -18- Ocean Systems EngineeringProf. Daejun CHANG

    An approach to the combined effectsAn approach to the combined effects

    Simulation and interpolationLeak position: Deck 1 (D)

    Leak direction: North (N)Wind Direction: North-South (NS)

    Frequency 0.071 0.0064 0.005 0.0036 0.0022 0.0008 0.0003 0.0001

    Probability Leak Rate

    Wind Speed 0.75 1.5 3 6 12 24 48 96

    0.03 1.5 DNNS11 DNNS12 DNNS13 DNNS14 DNNS15 DNNS16 DNNS17 DNNS18

    0.09 4 DNNS21 DNNS22 DNNS23 DNNS24 DNNS25 DNNS26 DNNS27 DNNS28

    0.05 6 DNNS31 DNNS32 DNNS33 DNNS34 DNNS35 DNNS36 DNNS37 DNNS38

    0.02 8 DNNS41 DNNS42 DNNS43 DNNS44 DNNS45 DNNS46 DNNS47 DNNS48

    0.01 12 DNNS51 DNNS52 DNNS53 DNNS54 DNNS55 DNNS56 DNNS57 DNNS58

    S: Simulated cases

    S S S S

    SSSS

  • -19- Ocean Systems EngineeringProf. Daejun CHANG

    Explosion SimulationExplosion Simulation

  • -20- Ocean Systems EngineeringProf. Daejun CHANG

    Is the cloud fixed at the position for which the dispersion analysis is done? The cloud can be moved by the wind. It can also travel on its own momentum. If the leak position is changed, the cloud position will change. The cloud position is possible at any allowable place of the

    installation.

    Position of gas cloud Small cloud (low category): 5 - 9 positions Large cloud (high category): 2 - 3 positions

    Position of gas cloudPosition of gas cloud

  • -21- Ocean Systems EngineeringProf. Daejun CHANG

    Position of gas cloudPosition of gas cloud

    Small cloud Large cloud

  • -22- Ocean Systems EngineeringProf. Daejun CHANG

    It is known that the overpressure varies with the ignition position within the cloud.

    Ignition point within the gas cloud Small cloud (low category): center Large cloud (high category): 2 - 3 positions

    Ignition position within the cloudIgnition position within the cloud

  • -23- Ocean Systems EngineeringProf. Daejun CHANG

    Continuous and Discrete IgnitionContinuous and Discrete Ignition

  • -24- Ocean Systems EngineeringProf. Daejun CHANG

    Ignition densityIgnition density

    Without ignition, there is no explosion. Ignition density determines the explosion frequency.

    Time, s

    Explosion frequency Gas volume, m3Ignition density

  • -25- Ocean Systems EngineeringProf. Daejun CHANG

    Naturally there are two types of ignition sources. Continuous: the ignition source is constantly active. Discrete: the activity of the ignition source is intermittent.

    The source can be either of the two (continuous or discrete) Both of the two (continuous and discrete at the same time)

    TDIIM Time-Dependent Internal Ignition Model Developed by a JIP program led by DNV

    Continuous and discrete ignitionContinuous and discrete ignition

  • -26- Ocean Systems EngineeringProf. Daejun CHANG

    TDIIM (TimeTDIIM (Time--Dependent Internal Ignition Model)Dependent Internal Ignition Model)

    Continuous ignition Conditional probability that the gas cloud explodes if it touches the

    continuous ignition source. Discrete ignition

    Probability that the gas cloud explodes which contains the discrete ignition source

  • -27- Ocean Systems EngineeringProf. Daejun CHANG

    Discrete ignitionDiscrete ignition

    Discrete ignition Probability that the gas cloud explodes which contains the discrete

    ignition source The ignition source is active and inactive intermittently. The explosion probability is proportional to the contact time between

    the cloud and the ignition source. The cloud ultimately explodes if left in contact with the source.

    fdis = Prdis,total x Vcloud/Vdeck x Dtfdis: discrete ignition frequencyPrdis,total: sum of all the discrete ignition sourcesVcloud: cloud volumeVdeck: deck or space volumeDt: residence time of the cloud

  • -28- Ocean Systems EngineeringProf. Daejun CHANG

    Discrete ignitionDiscrete ignition

    Discrete ignition Probability that the gas cloud explodes which contains the discrete

    ignition source The ignition source is active and inactive intermittently. The explosion probability is proportional to the contact time between

    the cloud and the ignition source. The cloud ultimately explodes if left in contact with the source.

    fdis = Prdis,total x Vcloud/Vdeck x Dtfdis: discrete ignition frequencyPrdis,total: sum of all the discrete ignition sourcesVcloud: cloud volumeVdeck: deck or space volumeDt: residence time of the cloud

  • -29- Ocean Systems EngineeringProf. Daejun CHANG

    Time, s

    Explosion frequency Gas volume, m3Ignition density Category 4 (3,100 m3)

    t1 t2 t3 t4

    Discrete ignitionDiscrete ignition

    Ignition probability = Prdis,total x Vcloud/Vdeck x DtPrdis,total: Sum of all the discrete ignition sources = (pump + compr + ) * 1600m2Vcloud: cloud volume = 3,100 m3Vdeck: deck or space volume = 12,500 m3Dt: residence time of the cloud = t2 - t1 + t4 - t3

  • -30- Ocean Systems EngineeringProf. Daejun CHANG

    Continuous ignitionContinuous ignition

    Continuous ignition Conditional probability that the gas cloud explodes if it touches the

    continuous ignition source. As soon as the cloud touches the source, it will explode. Continuous ignition is possible only on the boundary.

    fcon = Prcon,total x Qcloud/Vdeck fcon: continuous ignition frequencyPrdis,total: sum of all the continuous ignition sourcesQcloud: cloud volume growth rate (m3/s)Vdeck: deck or space volume

  • -31- Ocean Systems EngineeringProf. Daejun CHANG

    Time, s

    Explosion frequency Gas volume, m3Ignition density Category 4 (3,100 m3)

    t1 t2 t3 t4

    Continuous ignitionContinuous ignition

    fcon = Prcon,total x Qcloud/Vdeck fcon: continuous ignition frequency = (pump + compr + ) * 1600m2Prdis,total: sum of all the continuous ignition sourcesQcloud: cloud volume growth rate (m3/s) [V(t2) V(t1)]/(t2-t1)Vdeck: deck or space volume

    Qcloud

  • -32- Ocean Systems EngineeringProf. Daejun CHANG

    Frequency CombinationFrequency Combination

  • -33- Ocean Systems EngineeringProf. Daejun CHANG

    Frequency combination for Category 1Frequency combination for Category 1

    Position ID Probability Position ID Probability Type ID ProbabilityC 0.5 D 3.41106E-06 2.13192E-07

    C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 3.41106E-06 2.13192E-07C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 3.41106E-06 2.13192E-07C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 3.41106E-06 2.13192E-07C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 3.41106E-06 2.13192E-07C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 3.41106E-06 2.13192E-07C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 3.41106E-06 2.13192E-07C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 3.41106E-06 2.13192E-07C 1.48149E-05 2.06506E-06D 3.41106E-06

    C 0.5 D 0 0C 0 0D 0

    Overpressure,barg

    Ignition Position(C:Center, E: Edge)

    Ignition Type(D:Discrete, C:Continuous)

    E

    Cloud PositionCloudClass

    No of CloudPositions

    IntegratedProbability

    E

    E

    E

    E

    E

    E

    E

    8

    E

    0.5

    0.5

    0.5

    0.5

    0.5

    0.5

    0.5

    0.5

    0.13 0.5

    0.131

    2

    3

    4

    5

    6

    7

    0.13

    0.13

    0.13

    0.13

    0.13

    0.13

    1 8

    9

    0.13

  • -34- Ocean Systems EngineeringProf. Daejun CHANG

    Frequency combination for Category 5Frequency combination for Category 5

  • -35- Ocean Systems EngineeringProf. Daejun CHANG

    Exceedance CurveExceedance Curve

  • -36- Ocean Systems EngineeringProf. Daejun CHANG

    Overpressure detectionOverpressure detection

    The overpressure is function of time and position. Consequently, one exceedance curve is about one detection position. An average can be taken over several detection positions.

  • -37- Ocean Systems EngineeringProf. Daejun CHANG

    Exceedance curveExceedance curve

    Cumulative frequency The frequency of the higher over pressure is negligible compared to the

    lower frequency.

    1.0E-10

    1.0E-09

    1.0E-08

    1.0E-07

    1.0E-06

    1.0E-05

    1.0E-04

    0 1 2 3 4 5 6 7Drag load, bar

    Cum

    ulat

    ive

    freq

    uenc

    y, /y

    r

    Level 11.8mLevel 13.4mLevel 19.4mLevel 22.3mLevel 28.6m

  • -38- Ocean Systems EngineeringProf. Daejun CHANG

    MiscellaneousMiscellaneous

  • -39- Ocean Systems EngineeringProf. Daejun CHANG

    Some points not explainedSome points not explained

    Ventilation study To simulate air change rate of the installation The initial condition of the dispersion study is the results of the

    ventilation study. Cloud volume

    Only the volume with concentration higher than the LEL is effective for the explosion.

    Windrose data The probability distribution of the wind direction and speed.

    FLACS supports these tasks.

  • -40- Ocean Systems EngineeringProf. Daejun CHANG

    ReviewReview

  • -41- Ocean Systems EngineeringProf. Daejun CHANG

    Explosion The most catastrophic accident Inherent to ocean plants handling flammable gas within congested space

    Goal To design structure against the explosion with a given frequency

    (once in 10,000 years (10-4/yr) or once in 100,000 years (10-5/yr)) Task

    To estimate the explosion load with the threshold frequency If the explosion load exceeds the structure strength,

    change the design for - Structural strength- Safety systems configuration and reliability- Spatial congestion (or equipment arrangement)- . . .

    Explosion Risk Analysis An Example

    None of the design changes is easy to implement.None of the design changes is easy to implement.Precise detection in the early stage is the key.Precise detection in the early stage is the key.

  • -42- Ocean Systems EngineeringProf. Daejun CHANG

    Continuous ignition Ignition sources are exist. Inherent to ocean plants handling flammable gas within congested space

    Goal To design structure against the explosion with a given frequency

    (once in 10,000 years (10-4/yr) or once in 100,000 years (10-5/yr)) Task

    To estimate the explosion load with the threshold frequency If the explosion load exceeds the structure strength,

    change the design for - Structural strength- Safety systems configuration and reliability- Spatial congestion (or equipment arrangement)- . . .

    Continuous Ignition and Discrete Ignition

  • -43- Ocean Systems EngineeringProf. Daejun CHANG

    Leak Gas Cloud Explosion

    Factors affecting dispersionFactors affecting dispersion-- Leak rate & directionLeak rate & direction-- Wind speed & directionWind speed & direction-- Spatial congestionSpatial congestion

    Factors affecting explosionFactors affecting explosion-- Cloud position within the facilityCloud position within the facility-- Ignition densityIgnition density-- Ignition position within the cloudIgnition position within the cloud-- Spatial congestionSpatial congestion

    Affecting safety systemsAffecting safety systems-- Gas detection systemGas detection system-- Emergency shutdown system (ESD)Emergency shutdown system (ESD)-- Power shutoff system isolating ignition sourcesPower shutoff system isolating ignition sources

    How many conceivable cases?

    Explosion Risk Analysis - Mechanism

    Dispersion Explosion

  • -44- Ocean Systems EngineeringProf. Daejun CHANG

    1. Consequence Analysis

    - 3D geometry model construction

    - CFD simulation for ventilation, dispersion, and explosion

    2. Explosion Frequency Estimation

    3. Risk Presentation: Explosion overpressure vs. Probability

    4. ALARP Demonstration

  • -45- Ocean Systems EngineeringProf. Daejun CHANG

    Main deck

    Mezzanine deck

    1. Consequence Analysis 3D Model

    Open volume = 87.6 %

    Open volume = 89.5 %

  • -46- Ocean Systems EngineeringProf. Daejun CHANG

    Ventilation

    One wind velocity (4m/s) and 12 directions

    Dispersion

    Wind direction (3) Wind Speed (5) Leak Rate (8) Leak Position (4) Leak Direction (2) = 960 Scenarios

    112 scenarios are simulated and the rest are interpolated.

    Explosion

    Cloud Size (7) Cloud Position (3~9) Ignition Point (2~4)= 128 scenarios are simulated

    1. Consequence Analysis CFD Simulation

  • -47- Ocean Systems EngineeringProf. Daejun CHANG

    OFON Wind rose

    0

    5

    10

    15

    20

    250

    30

    60

    90

    120

    150

    180

    210

    240

    270

    300

    330

    1.546891014

    Ventilation Simulation

  • -48- Ocean Systems EngineeringProf. Daejun CHANG

    Ventilation Study Results

    The volume fraction of air change rate greater than 12 per hour is 99 %.

    Well ventilated

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    100

    0 100 200 300 400 500

    Air changes per hour

    Cum

    ulat

    ive

    freq

    uenc

    y, /y

    r

    0

    78

    1550

    30

    60

    90

    120

    150

    180

    210

    240

    270

    300

    330

  • -49- Ocean Systems EngineeringProf. Daejun CHANG

    Leak Points for Dispersion Simulation

    Seg11 (TEG contactor inlet cooler)

    Seg7 (MP compressor suction cooler)

    Mezzanine deck

    Seg9 (HP compressor suction scrubber)

    Seg1 (HP fuel gas scrubber)

    Main deck

  • -50- Ocean Systems EngineeringProf. Daejun CHANG

    Example: Dispersion from a Leak

    0

    500

    1,000

    1,500

    2,000

    2,500

    3,000

    3,500

    4,000

    0 100 200 300 400 500 600 700 800 900 1000Time, sec.

    Equiv

    alent

    Sto

    ichiom

    etric

    Clou

    d, m

    30

    5

    10

    15

    20

    25

    30

    Leak

    Rat

    e, k

    g/s

    Cloud volumeLeak rate

    ESDBlowdown

    Leak at Segment 1 in Main Deck at 24 kg/s

    Wind from the south

  • -51- Ocean Systems EngineeringProf. Daejun CHANG

    Explosion scenario with cloud category 1 (800m3)

    Explosion scenario with cloud category 7

    (11,350m3)

    Gas Cloud and Ignition Position for Explosion Simulation

  • -52- Ocean Systems EngineeringProf. Daejun CHANG

    -2.0

    -1.0

    0.0

    1.0

    2.0

    3.0

    4.0

    5.0

    0.0 0.2 0.4 0.6 0.8 1.0 1.2Time, sec.

    Ove

    rpre

    ssur

    e, b

    arg

    Main deck floorMezzanine deck floorBlast wall

    Example: Explosion of a Cloud

  • -53- Ocean Systems EngineeringProf. Daejun CHANG

    DiscreteGas Age Maintenance Manning Technology Module Adjust Total

    Pump 2.10E-07 0.90 0.85 1.00 0.60 25 0.46 2.41E-06Electrical eq. * 2.70E-08 0.90 0.90 1.00 0.60 5089.5 0.49 6.68E-05Other equipment * 2.10E-09 0.90 0.90 1.00 0.60 5089.5 0.49 5.19E-06Other ** 1.70E-08 1.00 1.00 1.00 1.00 2544.8 1.00 4.33E-05Personnel * 4.00E-08 1.00 0.95 0.60 1.00 5089.5 0.57 1.16E-04* per m2 exposed to gas SUM 2.34E-04** per m2 exposed to gas - Only one deck level

    ContinuousGas Age Maintenance Manning Technology Module Adjust Total

    Hot work (# hours per 365*24h)0.00E+00 - - - - - - 0.00E+00Pump 9.60E-05 0.90 0.85 1.00 0.60 25 0.46 1.10E-03Electrical equipment *2.60E-06 0.90 0.90 1.00 0.60 5089.5 0.49 6.43E-03Other equipment * 2.60E-06 0.90 0.90 1.00 0.60 5089.5 0.49 6.43E-03Other ** 1.30E-06 1.00 1.00 1.00 1.00 2544.8 1.00 3.31E-03Personnel * 3.00E-06 1.00 0.95 0.60 1.00 5089.5 0.57 8.70E-03* per m2 exposed to gas SUM 2.60E-02** per m2 exposed to gas - Only one deck level

    2. Explosion Frequency Estimation

    Ignition intensities Function of state and number of ignition sources

  • -54- Ocean Systems EngineeringProf. Daejun CHANG

    1.0E-10

    1.0E-09

    1.0E-08

    1.0E-07

    1.0E-06

    1.0E-05

    1.0E-04

    0 1 2 3 4 5 6 7

    Drag load, bar

    Cum

    ulat

    ive

    freq

    uenc

    y, /y

    r Level 11.8mLevel 13.4mLevel 19.4mLevel 22.3mLevel 28.6m

    3. Risk Presentation

  • -55- Ocean Systems EngineeringProf. Daejun CHANG

    ConclusionsConclusions

  • -56- Ocean Systems EngineeringProf. Daejun CHANG

    Conclusions

    A lot of assumptions and interpolations Still persuasive Rooms for improvements

    Difficult to verify Only the assumption are observable. But, the detailed process is hidden. Quality control is important.

    Compared to fire risk analysis Explosion risk analysis is more systematic and quantitative Need to apply a similar approach to fire risk analysis