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Overview - Scope of Topic. Difference between a limit and a controlIdentification of limits (parameters)PhysicalNuclearSafety MarginIdentfication of controlsAdministrativeEngineeredImplementation of limits and controls. Limits and Controls. A limit is (usually) the numerical value of a param
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1. Criticality SafetyLimits and Controls Based on Notes from the
Criticality Safety Short Course
University of New Mexico
Howard Dyer - ORNL
2. Overview - Scope of Topic Difference between a limit and a control
Identification of limits (parameters)
Physical
Nuclear
Safety Margin
Identfication of controls
Administrative
Engineered
Implementation of limits and controls
3. Limits and Controls A limit is (usually) the numerical value of a parameter that must be controlled within a defined allowable range
Example: limits with numerical values
Max. 1000 g U
Max. 1 liter container
Min. 24 in. E-T-E separation
H/U < 0.088
4. Limits and Controls Example: limits without numerical values
For solutions only
Performed only on day shift
Verify .... before starting
Provide drain holes in plastic bags
A control is the apparatus, instructions, process, actions, etc., by which the limit is maintained within its allowable range.
5. Limits Subcritical limits vs. actual process limits
Subcritical limits (from ANS Standards)
Just subcritical
No contingencies considered
No margin of safety
About 1% margin of subcriticality (beyond the uncertainties)
Actual process limits
Must account for contingencies
Usually must define a safety margin in terms of margin of safety or margin of subcriticality
Many parameters may need to be limited
Usually permits an increase in the ANS Standards subcritical value because multiple parameters are being controlled
6. Actual process limits What is available to be limited?
What value should “it” be limited to?
How to determine the value of the limit?
What safety margin should be included?
margin of safety
margin of subcriticality
How to proceed from identifying limits to identifying controls?
7. Nine parameters for control
8. Parameters are not independent variables A change in MASS causes a change in VOLUME
A change in DENSITY causes a change in COMPOSITION and GEOMETRY
A change in INTERNAL MODERATION causes a change in COMPOSITION, DENSITY, and VOLUME
A change in any parameter will probably cause changes in at least one other parameter
A single parameter may impact more than one nuclear characteristic, e.g. INTERNAL MODERATION changes absorption & generation
9. Nuclear characteristics are not independent A change in the rate of neutron production will cause a change in the rate of neutron absorption and leakage
A change in the rate of neutron leakage will cause changes in the rate of neutron production and absorption
A change in the rate of neutron absorption will cause changes in the rate of neutron production and escape
10. Calculating keff
11. Crit. Safety Analyst’s Responsibility
12. Parameter studies Parametric study - how keff changes as a parameter changes
Two aspects to be considered:
Sensitivity of keff to the change
Selection of “the value” (may be impacted by the method of control)
13.
14. Parameter studies... Key: fix as many of the parameters as possible; remember that other parameters may not be independent
Example: A 4-liter beaker is to be used to dissolve oxide in acid.
What is/can be fixed (non-variable)?
Assume 100% assay #3
GEOMETRY (vol. and dim’s.) #4
Assume full REFLECTION #5
Single unit, no INTERACTION #6
Assume no NEUTRON POISONS #9
COMPOSITION* (oxide and acid) #8
15. Parameter studies... Example: What is variable?
MASS #1
DENSITY** #2
INTERNAL MODERATION** #7
16. Example: “Full” Beaker
17. Example: “Fixed Mass” Beaker
18. Safety Margin What safety margin (in terms of margin of safety or margin of subcriticality) should be included?
Examples:
Reference to facility guides and handbooks
Y-1272, GAT-225, etc. (with margin of safety included in data)
Use of standard “hand calculational techniques” (solid angle, limiting surface density, etc.)
Computer code calculations (keff, with parameters limited to satisfy some margin of subcriticality criteria)
Normal conditions, keff + 2s < 0.90
Accident conditions, keff + 2s < 0.95
19. Safety Margin Examples, cont:
Comparison to critical or subcritical data
ANS Standards, TID-7016, TID-7028, LA-10860-MS, ARH-600, etc.
Safety margin?
20. Selecting the parameter limit
21. Controls Nuclear criticality safety is achieved by exercising control over:
the mass and distribution of the fissile material, and
the mass and distribution of all other materials associated with the fissile material
Parametric study (comparison to critical or subcritical data, reference to safety guides, keff calculations, etc.) identifies:
what to control (the parameters) and
the limits (values) of the parameters, but
not how to control them
22. Types of controls Engineered controls
Active - Elec./Mech./Hyd./Pneu. actuated hardware that senses a process variable and provides an automatic response.
Passive - Constructed such that human/Elec./Mech./Hyd./Pneu. intervention is not needed to maintain subcriticality during off-normal conditions
Administrative controls
Any action(s) required which is dependent upon operator performance
23. Controls Active Engineered Controls (sensor activated)Examples:
thermostat turns heater off
liquid level sensor starts pump
load cell closes supply line
pressure switch starts pump
computer controlled
24. Controls Active Engineered ControlsConcerns:
the sensor (tolerance, drift, calibration)
the actuator (motive force, time response)
pre-operational verification
importance to subcriticality (redundancy)
detection of malfunction or failure (of the sensor and of the actuator)
maintenance and configuration control
25. Controls Passive Engineered Controls (fixed by design)Examples:
favorable (safe) geometry
rigid/fixed spacing
fixed poisons (Raschig-rings)
equipment limitations
natural forces: gravity (vacuum breaks), physical chemistry
26. Controls Passive Engineered ControlsConcerns:
initial design
correct installation
pre-operational verification
continued effectiveness
detection of change
27. Controls Administrative Controls (operator actions)Examples:
mass limits
spacing limits
composition limits
product piece count
instructions, signs, training
28. Controls Administrative ControlsConcerns:
requires operator thought and action each time control function is needed
difficult to detect non-adherence
difficult to declare “unlikely” (re: Double Contingency)
29. Controls Order of preference
1st - Passive Engineered Controls (minimum human intervention)
2nd - Active Engineered Controls (moderate human intervention)
3rd - Administrative Controls (total human intervention)
30. Controls Controls must fit the need (for subcriticality)
accuracy of controlling the parameter value
sensitivity of keff to changes in the value
ability to limit the parameter
Controls must be functionally achievable
mass = scales, records and logs
composition, H/U = lab analyses
spacing = fixed racks, painted spots
Temp/pressure = T & P indicators
fixed poisons = visual + lab analysis + concentration control
31. Controls Controls must be identified (usually negotiated with operations personnel)
in criticality evaluation
in operating procedures
in OSR/TSR/SAR
Controls must be understood by operators
32. Operating Limits and Controls (SUMMARY) Difference between a limit and a control
Identification of limits
Physical parameters
Nuclear characteristics
Safety Margin
Margin of safety
Margin of subcriticality
Identification of controls
Engineered
Administrative
Implementation of limits and controls