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Toxic Release and Dispersion
           Models
    Gausian Dispersion Models
Dispersion Models
Practical and Potential Releases
Pasquil-Gifford Models
  Stability classes
  Dispersion coefficients
Plume Model
Puff
  Integrated dose
Isopleths
Release Mitigation
Example
Practical and Potential Releases
  During an accident process equipment can
  release toxic materials very quickly.
    Explosive rupture of a process vessel due to
    excess pressure
    Rupture of a pipeline with material under high
    pressure
    Rupture of tank with material above boiling point
    Rupture of a train or truck following an accident.
Practical and Potential Releases
  Identify the Design basis
    What process situations can lead to a release, and
    which are the worst situations
  Source Model
    What are the process conditions and hence what
    will the state of the release and rate of release
  Dispersion Model
    Using prevailing conditions (or worst case)
    determine how far the materials could spread
Types of Dispersion Models
Plume models were
originally developed
for dispersion from a
smoke stack.
In an emergency if
there is a leak in a
large tank then a
plume can develop.
Types of Dispersion Models
              Puff models are
              used when you have
              essentially an
              instantaneous
              release and the
              cloud is swept
              downwind.
              No significant plume
              develops
Dispersion Models
Practical and Potential Releases
Pasquil-Gifford Models
  Stability classes
  Dispersion coefficients
Plume Model
Puff
  Integrated dose
Isopleths
Release Mitigation
Example
Pasquil-Gifford Dispersion Models
  Because of fluctuations and turbulence the
  eddy diffusivity is constantly changing and
  traditional transport phenomena equations
  don’t do a good job of predicting dispersion.

  Solution is to assume that the materials
  spread out in a normal Gausian-type
  distribution.
Pasquil-Gifford Dispersion Models
  For a plume the
  instantaneous value is
  different then the
  average.
  Develop correlations to
  predict the average
  concentration profile
Pasquil-Gifford Dispersion Models
                  As the plume is
                  swept downwind,
                  the concentration
                  profile spreads out
                  and decreases
Pasquil-Gifford Dispersion Models
   Have “dispersion
   coefficients” defined in
   the direction of the
   wind, in a cross wind
   direction and with
   elevation.
   These coefficients are
   correlated for six
   different stability
   classes.
Pasquil-Gifford Dispersion Models
   Table 5-2 gives the six stability classes to be
   used in the Pasquil-Gifford models.
     For a given set of conditions, you can determine
     which stability class to use.
   Figure 5-10 and Figure 5-11 give the
   dispersion coefficients for as a function of
   distance downwind from release for Plume
   Models
Plume Model Dispersion Coefficients
Puff Model Dispersion Coefficients
             σx =σy
             Unstable − > log10 σ y = − 0.84403 + 0.992014 log10 ( x )
              Neutral − > log10 σ y = 0.006425 + 0.297817 log10 ( x )
              Stable − > log10 σ y = − 1.67141 + 0.892679 log10 ( x )


             Unstable − > log10 σ z = − 0.27995 + 0.72802 log10 ( x )
              Neutral − > log10 σ z = − 0.8174 + 0.698592 log10 ( x )
              Stable − > log10 σ z = − 1.33593 + 0.605493log10 ( x )
Dispersion Models
Practical and Potential Releases
Pasquil-Gifford Models
  Stability classes
  Dispersion coefficients
Plume Model
Puff
  Integrated dose
Isopleths
Release Mitigation
Example
Plume Model
Assumes plume has developed, hence it
is continuous. Thus there is no
“dispersion coefficient”, σx, in the
direction of flow (direction of the wind)
Plume Model
                         &
                        Qm            1  y 2 
 < C > ( x, y , z ) =            exp  −   
                      2πσ yσ z u      2 σ y  
                                        
   
        1  z − Hr 2             1  z + Hr  2  
                                                       
 × exp  −               + exp  −            
   
        2 σz  
                                   2  σ z  
                                                    

Equation 5-49 is complete plume model
Can simplify as needed
Plume Model
       Reason for last term
       in the expression is
       that as the gaseous
       plume is dispersed
       eventually you get
       reflection back off of
       the ground
Plume Model - Simplifications
If you a particulate or something that
will react with the ground, then you
remove “reflection” term
                          &
                         Qm            1  y 2 
  < C > ( x, y , z ) =            exp  −   
                       2πσ yσ z u      2 σ y  
                                         
    
         1  z − Hr 2   
  × exp  −              
    
         2  σ z  
                           
Plume Model - Simplifications
If your source is at ground level Hr is
zero. Note the two terms add to two.
Results in Eq. 5-46


                         &
                        Qm           1  y2    z 2 
 < C > ( x, y , z ) =           exp  −  2 + 2  
                      πσ yσ z u      
                                      2  σ y σ z 
                                                    
Dispersion Models
Practical and Potential Releases
Pasquil-Gifford Models
  Stability classes
  Dispersion coefficients
Plume Model
Puff
  Integrated dose
Isopleths
Release Mitigation
Example
Puff Models
Often in accidents, the releases are
essentially instantaneous and no plume
develops. Need to use a different dispersion
model that is based on a puff.
Now need to have “dispersion coefficient” in
the wind direction. However, assume it is the
same as in the cross wind (y) direction.
Dispersion coefficients only defined for three
stability classes (Unstable, Neutral, Stable).
See bottom of Table 5-2.
Puff Model – Puff at height Hr
Eq. 5-58 describes dispersion
                              Qm              1  y 2 
  < C > ( x, y , z ) =                   exp  −   
                                              2 σ y  
                            3
                       (2π ) 2 σ xσ yσ z        
    
         1  z − Hr 2              1  z + Hr 2  
                                                        
  × exp  −               + exp  −            
    
         2 σz  
                                     2  σ z  
                                                     
         1  x − ut 2 
  × exp  −          
         2 σx  
                       
Puff Model - Simplification
        Ground level source. Eq. 5-38

                                             x − ut 2  y 2  z 2  
                        Qm              − 1 
< C > ( x, y , z ) =               exp                  +   +   
                                        2  σ x   σ y   σ z   
                       3
                     2π 2σ xσ yσ z                                  
Puff Model-Simplification
Coordinate system moves along with
puff. Eq. 5-54
                            Qm            1  y 2 
< C > ( x, y , z ) =                 exp  −   
                                          2 σ y  
                          3
                     (2π ) σ xσ yσ z
                            2
                                            
  
       1  z − Hr 2            1  z + Hr 2  
                                                    
× exp  −               + exp  −          
  
       2 σz  
                                 2  σ z  
                                                 
Dispersion Models
Practical and Potential Releases
Pasquil-Gifford Models
  Stability classes
  Dispersion coefficients
Plume Model
Puff
  Integrated dose
Isopleths
Release Mitigation
Example
Integrated Dose
 When a person is standing in a fixed
 location and a puff passes over, he/she
 receives a dose that is the time integral
 of the concentration.
                    ∞
Dtid ( x, y , z ) = ∫ < C > ( x, y , z, t )dt
                   0
Integrated Dose
For person on ground at distance y
cross wind, Eq. 5-43
                     Qm           1 y2 
 Dtid ( x, y ,0) =           exp  −   2 
                   πσ yσ z u      2σ 
                                     y 

For person on ground at centerline of
flow, Eq. 5-44
                             Qm
           Dtid ( x,0,0) =
                           πσ yσ z u
Dispersion Models
Practical and Potential Releases
Pasquil-Gifford Models
  Stability classes
  Dispersion coefficients
Plume Model
Puff
  Integrated dose
Isopleths
Release Mitigation
Example
Isopleths
An isopleth is a three dimensional
surface of constant concentration.
Calculated by
  Specify desired <C>desired, u and t
  Find concentration along x axis at that t
  <C>(x,0,0,t) to define boundaries and
  points along centerline
  At each point to be evaluated find y using
  equation 5-45.
Isopleths
Equation 5-45 makes more sense if you
write it as follows
                 < C > ( x,0,0, t ) centerline 
   y =σy   2 ln                                
                 < C > ( x, y ,0, t ) desired 
Isopleths
Comparison of Plume & Puff Models
Puff model can used for continuous calculations by representing
  a plume as a succession of puffs.
  Number of Puffs, n
      t                         Continuous Leak
  n=
     tp                         Q =Q t&
                                 m     m p

  Time to form Puff , t p
         H eff                  Instantaneous Leak Into Smaller Puffs
  tp =
        u                             (Qm )total
                                Qm =
  Effective Height, H eff                n
  H eff = (Leak Height) × 1.5
Effective Release Height
Both the Plume and Puff              us d                  −3   Ts − Ta  
                              ∆H r =        1.5 + 2.68 × 10 Pd          
model utilizes an effective           u                            Ts  
release height, Hr.
This is caused the            ∆H r = additional effective height, m
momentum and buoyancy         us = stack velocity, m/s
For release from a stack      d = release (stack) diameter, m
                              u = wind speed, m/s
                              P = atmospheric pressure, mbar
                              Ta = air temperature, K
                              Ts = release gas temperature, K
Dispersion Models
Practical and Potential Releases
Pasquil-Gifford Models
  Stability classes
  Dispersion coefficients
Plume Model
Puff
  Integrated dose
Isopleths
Release Mitigation
Example
Release Mitigation
Utilize toxic release
models as a tool for
release mitigation.
Make changes in
process, operations
or emergency
response scenarios
according to results.
Release Mitigation
Inherent Safety            Management
  Inventory reduction       Policies and procedures
  Chemical substitution     Training for vapor release
  Process attentuation      Audits & inspections
Engineering Design          Equipment testing
  Physical integrity of
                            Routine maintenance
  seals and construction
  Process integrity         Management of change
  Emergency control         Security
  Spill containment
Release Mitigation
Early Vapor Detection     Emergency Response
  Sensors                   On-site communications
  Personnel                 Emergency shutdown
                            Site evacuation
Countermeasures
                            Safe havens
  Water sprays and          PPE
  curtains
                            Medical treatment
  Steam or air curtains     On-site emergency plans,
  Deliberate ignition       procedures, training &
  Foams                     drills
Examples
Solution
Assume point source –plum develops
x = 3 km
Overcast night
u=7 m/s
Table 5.2 -> Stability class D
                        &
                       Qm           1  y2   z 2 
< C > ( x, y , z ) =           exp  −  2 + 2  
                     πσ yσ z u      2  σ y σ z 
                                                
Solution
Ground level concentration, z=0
Centerline, y=0         &      Qm
            < C > ( x,0,0) =
                             πσ yσ z u

σ y = 0.128 x.90 = 0.128(3000).9 = 172m
log10 σ z = −1.22 + 1.08log10 x − 0.061(log10 x )2
log10 σ z = −1.22 + 1.08log10 (3000) − 0.061(log10 3000)2
log10 σ z = 1.80
σ z = 63m
Solution


< C > (3000,0,0) =
                            ( s)
                             3g
                                                 = 1.26 × 10−5 g m3
                                    (
                     π (172m )(63m ) 7 m s   )

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Toxic Release And Dispersion Models

  • 1. Toxic Release and Dispersion Models Gausian Dispersion Models
  • 2. Dispersion Models Practical and Potential Releases Pasquil-Gifford Models Stability classes Dispersion coefficients Plume Model Puff Integrated dose Isopleths Release Mitigation Example
  • 3. Practical and Potential Releases During an accident process equipment can release toxic materials very quickly. Explosive rupture of a process vessel due to excess pressure Rupture of a pipeline with material under high pressure Rupture of tank with material above boiling point Rupture of a train or truck following an accident.
  • 4. Practical and Potential Releases Identify the Design basis What process situations can lead to a release, and which are the worst situations Source Model What are the process conditions and hence what will the state of the release and rate of release Dispersion Model Using prevailing conditions (or worst case) determine how far the materials could spread
  • 5. Types of Dispersion Models Plume models were originally developed for dispersion from a smoke stack. In an emergency if there is a leak in a large tank then a plume can develop.
  • 6. Types of Dispersion Models Puff models are used when you have essentially an instantaneous release and the cloud is swept downwind. No significant plume develops
  • 7. Dispersion Models Practical and Potential Releases Pasquil-Gifford Models Stability classes Dispersion coefficients Plume Model Puff Integrated dose Isopleths Release Mitigation Example
  • 8. Pasquil-Gifford Dispersion Models Because of fluctuations and turbulence the eddy diffusivity is constantly changing and traditional transport phenomena equations don’t do a good job of predicting dispersion. Solution is to assume that the materials spread out in a normal Gausian-type distribution.
  • 9. Pasquil-Gifford Dispersion Models For a plume the instantaneous value is different then the average. Develop correlations to predict the average concentration profile
  • 10. Pasquil-Gifford Dispersion Models As the plume is swept downwind, the concentration profile spreads out and decreases
  • 11. Pasquil-Gifford Dispersion Models Have “dispersion coefficients” defined in the direction of the wind, in a cross wind direction and with elevation. These coefficients are correlated for six different stability classes.
  • 12. Pasquil-Gifford Dispersion Models Table 5-2 gives the six stability classes to be used in the Pasquil-Gifford models. For a given set of conditions, you can determine which stability class to use. Figure 5-10 and Figure 5-11 give the dispersion coefficients for as a function of distance downwind from release for Plume Models
  • 13. Plume Model Dispersion Coefficients
  • 14. Puff Model Dispersion Coefficients σx =σy Unstable − > log10 σ y = − 0.84403 + 0.992014 log10 ( x ) Neutral − > log10 σ y = 0.006425 + 0.297817 log10 ( x ) Stable − > log10 σ y = − 1.67141 + 0.892679 log10 ( x ) Unstable − > log10 σ z = − 0.27995 + 0.72802 log10 ( x ) Neutral − > log10 σ z = − 0.8174 + 0.698592 log10 ( x ) Stable − > log10 σ z = − 1.33593 + 0.605493log10 ( x )
  • 15. Dispersion Models Practical and Potential Releases Pasquil-Gifford Models Stability classes Dispersion coefficients Plume Model Puff Integrated dose Isopleths Release Mitigation Example
  • 16. Plume Model Assumes plume has developed, hence it is continuous. Thus there is no “dispersion coefficient”, σx, in the direction of flow (direction of the wind)
  • 17. Plume Model & Qm  1  y 2  < C > ( x, y , z ) = exp  −    2πσ yσ z u  2 σ y          1  z − Hr 2   1  z + Hr  2    × exp  −    + exp  −       2 σz      2  σ z     Equation 5-49 is complete plume model Can simplify as needed
  • 18. Plume Model Reason for last term in the expression is that as the gaseous plume is dispersed eventually you get reflection back off of the ground
  • 19. Plume Model - Simplifications If you a particulate or something that will react with the ground, then you remove “reflection” term & Qm  1  y 2  < C > ( x, y , z ) = exp  −    2πσ yσ z u  2 σ y          1  z − Hr 2    × exp  −       2  σ z    
  • 20. Plume Model - Simplifications If your source is at ground level Hr is zero. Note the two terms add to two. Results in Eq. 5-46 & Qm  1  y2 z 2  < C > ( x, y , z ) = exp  −  2 + 2   πσ yσ z u    2  σ y σ z  
  • 21. Dispersion Models Practical and Potential Releases Pasquil-Gifford Models Stability classes Dispersion coefficients Plume Model Puff Integrated dose Isopleths Release Mitigation Example
  • 22. Puff Models Often in accidents, the releases are essentially instantaneous and no plume develops. Need to use a different dispersion model that is based on a puff. Now need to have “dispersion coefficient” in the wind direction. However, assume it is the same as in the cross wind (y) direction. Dispersion coefficients only defined for three stability classes (Unstable, Neutral, Stable). See bottom of Table 5-2.
  • 23. Puff Model – Puff at height Hr Eq. 5-58 describes dispersion Qm  1  y 2  < C > ( x, y , z ) = exp  −     2 σ y   3 (2π ) 2 σ xσ yσ z        1  z − Hr 2   1  z + Hr 2    × exp  −    + exp  −       2 σz      2  σ z      1  x − ut 2  × exp  −     2 σx    
  • 24. Puff Model - Simplification Ground level source. Eq. 5-38   x − ut 2  y 2  z 2   Qm  − 1  < C > ( x, y , z ) = exp  +   +     2  σ x   σ y   σ z    3 2π 2σ xσ yσ z     
  • 25. Puff Model-Simplification Coordinate system moves along with puff. Eq. 5-54 Qm  1  y 2  < C > ( x, y , z ) = exp  −     2 σ y   3 (2π ) σ xσ yσ z 2        1  z − Hr 2   1  z + Hr 2    × exp  −    + exp  −       2 σz      2  σ z    
  • 26. Dispersion Models Practical and Potential Releases Pasquil-Gifford Models Stability classes Dispersion coefficients Plume Model Puff Integrated dose Isopleths Release Mitigation Example
  • 27. Integrated Dose When a person is standing in a fixed location and a puff passes over, he/she receives a dose that is the time integral of the concentration. ∞ Dtid ( x, y , z ) = ∫ < C > ( x, y , z, t )dt 0
  • 28. Integrated Dose For person on ground at distance y cross wind, Eq. 5-43 Qm  1 y2  Dtid ( x, y ,0) = exp  − 2  πσ yσ z u  2σ   y  For person on ground at centerline of flow, Eq. 5-44 Qm Dtid ( x,0,0) = πσ yσ z u
  • 29. Dispersion Models Practical and Potential Releases Pasquil-Gifford Models Stability classes Dispersion coefficients Plume Model Puff Integrated dose Isopleths Release Mitigation Example
  • 30. Isopleths An isopleth is a three dimensional surface of constant concentration. Calculated by Specify desired <C>desired, u and t Find concentration along x axis at that t <C>(x,0,0,t) to define boundaries and points along centerline At each point to be evaluated find y using equation 5-45.
  • 31. Isopleths Equation 5-45 makes more sense if you write it as follows  < C > ( x,0,0, t ) centerline  y =σy 2 ln    < C > ( x, y ,0, t ) desired 
  • 33. Comparison of Plume & Puff Models Puff model can used for continuous calculations by representing a plume as a succession of puffs. Number of Puffs, n t Continuous Leak n= tp Q =Q t& m m p Time to form Puff , t p H eff Instantaneous Leak Into Smaller Puffs tp = u (Qm )total Qm = Effective Height, H eff n H eff = (Leak Height) × 1.5
  • 34. Effective Release Height Both the Plume and Puff us d  −3  Ts − Ta   ∆H r = 1.5 + 2.68 × 10 Pd   model utilizes an effective u   Ts   release height, Hr. This is caused the ∆H r = additional effective height, m momentum and buoyancy us = stack velocity, m/s For release from a stack d = release (stack) diameter, m u = wind speed, m/s P = atmospheric pressure, mbar Ta = air temperature, K Ts = release gas temperature, K
  • 35. Dispersion Models Practical and Potential Releases Pasquil-Gifford Models Stability classes Dispersion coefficients Plume Model Puff Integrated dose Isopleths Release Mitigation Example
  • 36. Release Mitigation Utilize toxic release models as a tool for release mitigation. Make changes in process, operations or emergency response scenarios according to results.
  • 37. Release Mitigation Inherent Safety Management Inventory reduction Policies and procedures Chemical substitution Training for vapor release Process attentuation Audits & inspections Engineering Design Equipment testing Physical integrity of Routine maintenance seals and construction Process integrity Management of change Emergency control Security Spill containment
  • 38. Release Mitigation Early Vapor Detection Emergency Response Sensors On-site communications Personnel Emergency shutdown Site evacuation Countermeasures Safe havens Water sprays and PPE curtains Medical treatment Steam or air curtains On-site emergency plans, Deliberate ignition procedures, training & Foams drills
  • 40. Solution Assume point source –plum develops x = 3 km Overcast night u=7 m/s Table 5.2 -> Stability class D & Qm  1  y2 z 2  < C > ( x, y , z ) = exp  −  2 + 2   πσ yσ z u  2  σ y σ z    
  • 41. Solution Ground level concentration, z=0 Centerline, y=0 & Qm < C > ( x,0,0) = πσ yσ z u σ y = 0.128 x.90 = 0.128(3000).9 = 172m log10 σ z = −1.22 + 1.08log10 x − 0.061(log10 x )2 log10 σ z = −1.22 + 1.08log10 (3000) − 0.061(log10 3000)2 log10 σ z = 1.80 σ z = 63m
  • 42. Solution < C > (3000,0,0) = ( s) 3g = 1.26 × 10−5 g m3 ( π (172m )(63m ) 7 m s )