Age Is A Poor Proxy Why relying on age-based replacement is Why relying on age-based replacement is imprudent imprudent Presented by Dan O’Neill to the EUCI Aging T&D Infrastructure Workshop February 21, 2001
Mar 26, 2015
Age Is A Poor ProxyAge Is A Poor Proxy
Why relying on age-based replacement is Why relying on age-based replacement is imprudentimprudent
Presented by Dan O’Neillto the
EUCI Aging T&D Infrastructure Workshop
Presented by Dan O’Neillto the
EUCI Aging T&D Infrastructure Workshop
February 21, 2001
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Number of states with new electric reliability rules
Source: Article by Navigant Consulting Inc.’s Dan O’Neill, Public Utilities Fortnightly, March 1999, updated
As public concern for reliability increases...As public concern for reliability increases...
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...Public cries to replace aging infrastructure increase...Public cries to replace aging infrastructure increase
July 15, 1999, Thursday Metropolitan Desk
And yesterday, Mr. Giuliani continued his attacks on Con Edison's response as too passive. ''What Con Edison should be saying is here are the things that have to be done to make it virtually impossible for blackouts to take place,'' he said. ''We need more power. We need to purchase more power. We need more alternatives. We need a more modern infrastructure, meaning we have to improve the feeder cables so we have better material. We need to insulate them better.''
(emphasis added)
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But if the public knew the facts about age & reliabilityThey would say that relying on age-based replacement is imprudentBut if the public knew the facts about age & reliabilityThey would say that relying on age-based replacement is imprudent
Not cost-effectiveNot cost-effectiveReplacing infrastructure components based on age is one of the least cost-effective ways of improving service
Not method-efficientNot method-efficientThere are better indicators of deterioration than age, e.g., specific failure history, test results, defective types
Not best practiceNot best practice
Other industries have learned not to rely on age for reliability management, e.g., aerospace, automotive, even natural gas pipelines and LDC’s
Relying on age-based replacement for reliability is
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Customer interruptions
Customer minutes
Restoration time
Device outages
Customers per deviceVegetation
Animal
Lightning
Equipment
Trim, remove, mow & spray
Guards, BIL
Arresters, BIL shield, ground
Inspect, repair/replace
OtherPlanning, upgrades
SAIDI / SAIFIWorst circuitsSatisfaction
Remediation Root cause
Effectiveness
$
Sectionalizing
Deployment
Asset management is key in the distribution business modelAsset management is key in the distribution business model
Accurate estimates
Know what you spend by program
Don’t spend money on the wrong problem
Don’t just assume 75% reduction
Minimize the impact of outages that remain
Make sure you are right-sized
Customers really want to know
Measure the right things
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Replacement is only one of the asset management strategiesAnd there are usually much better ways to improve customer service Replacement is only one of the asset management strategiesAnd there are usually much better ways to improve customer service
Asset Management Strategies
- Improved standards for new construction
- Preventive maintenance
- Remediation of failure-prone conditions
- Replacement of failure-prone components
- Re-design for redundancy
- Reinforce for capacity
- Inspection and condition monitoring
- Mitigation of effects on customer satisfaction
- Rapid repair and restoration
And it is not usually the most cost-effective...
…except when combined with inspection and monitoring to replace only just-in-time
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0
100
200
300
400
500
600
191
4
192
0
192
4
192
9
193
4
193
9
194
3
194
7
195
1
195
5
195
9
196
3
196
7
197
1
197
5
197
9
198
3
198
7
199
1
199
5
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
Cumulative Line Miles Line Miles Added
Cab
le M
iles
Ad
de
d b
y Y
ea
r Cum
ula
tive L
ine M
iles
‘Age’ is not the same as ‘vintage’ if the real issue is defectsManufacturing problems in certain ‘vintages’ are not really ‘age-based’‘Age’ is not the same as ‘vintage’ if the real issue is defectsManufacturing problems in certain ‘vintages’ are not really ‘age-based’
Certain early vintages of solid cable are known to be failure-prone
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Cable Failure
Improper Installation
Mechanical Damage
Mark-outs
Enforce Penalties
Temperature of cable
Manufacturer Defect
Insulation Breakdown
Dig In
Treeing
Rocky Soil
Enforce Trench
StandardsImproper Training
Insulation Thickness/Type
Cable Injection
Cable Replacement
Lightning
One Call
Upgrade to MOV
Arresters around open
New Construction
Jacket/casing missing/broke
Moisture in cable/joint
Rock Bruising
Corrosion Strength
Steam (Ducted)
LoadingVentilation(Ducted)
AddCapacity
Maintain Manholes
Capacity Planning
Thumping
Cathodic Protection
Maintain Cath Prot
Street Crossing
In root cause analysis, age is often a proxy for ‘cycles’In root cause analysis, age is often a proxy for ‘cycles’
Thermal Instability
Wet Manhole
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Exponential density functionMean = 15
0%
1%
2%
3%
4%
5%
6%
7%
0 5 10 15 20 25 30 35 40 45 50
Cycles to failure
Pro
bab
ility
of
failu
re
Many components’ failures fit the exponential process modelWhich means they are ‘memory-less’ and independent of ‘age’ or ‘cycles’Many components’ failures fit the exponential process modelWhich means they are ‘memory-less’ and independent of ‘age’ or ‘cycles’
So, for an exponential
process, preventive
replacement will not work at all, e.g., light bulbs
For the exponential curve, the slope at the origin
points to the mean
At any point on the curve, the mean ‘cycles to failure’
is the same
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This is This is typical for typical for
devices devices like circuit like circuit breakers, breakers, where the where the
‘cycles’ are ‘cycles’ are fault fault
operationsoperations
The Weibull curve assumes ‘wearout’ caused by cyclesWith a failure rate that increases with ‘age’ or ‘cycles’ The Weibull curve assumes ‘wearout’ caused by cyclesWith a failure rate that increases with ‘age’ or ‘cycles’
Weibull conditional failure ratemean = 15
0%
10%
20%
30%
40%
50%
60%
70%
80%
0 5 10 15 20 25 30 35 40 45 50
Cycles at failure
Fa
ilu
re r
ate
(fa
ilu
res
/ su
rviv
ors
)
shape = 2.5
shape = 1.0
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But for such components, overhaul often resets the ‘clock’Older devices may simply require fewer cycles between overhaulsBut for such components, overhaul often resets the ‘clock’Older devices may simply require fewer cycles between overhauls
Weibull conditional failure rateshape = 2.5
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
0 5 10 15 20 25 30 35
Cycles since last overhaul
Fa
ilu
re r
ate
(fa
ilu
res
/ su
rviv
ors
)
Older
Newer
Usually, the Usually, the real reason real reason to replace to replace
old devices old devices is due to is due to
economicseconomics, , not for not for
reliabilityreliability
An older device of this type can be maintained to
have the same rate of failure
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Minutes per outage
Growth rate of outages
Past outages per mile
Cost permile
The key to optimal replacement is high failure rateThe key to optimal replacement is high failure rate
Future minutes per year avoided
Dollars spent
Future minutesavoided per yearFuture outages
avoided per year
Future outagesavoided per year
Past outagesper year
Bang per buck
Past outages per year Miles of line
to be replaced
1 $90,000
1.25 45001 min.$2.00
Miles of line to be replaced
Dollars spent
8x x x =
Where:
• $90,000 per mile = 5280 feet/mile x $17 per foot to replace• 8 outages/mile/year = 13 spans/mile x (3 outages per 400ft span in past 5 years)• 25% growth rate = 3 outages in past 5 years becomes 3 outages in next 4 years• 4500 minutes per outage = 50 customers per outage x 90 minutes per outage
The higher the failure rate... …the higher the bang per buck
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0.000
0.100
0.200
0.300
0.400
0.500
0.600
0 5 10 15 20 25 30 35 40 45 50
Age of cable (years)
Ca
ble
fa
ilu
res
pe
r m
ile
Typically, age-based failure rates are still low (~ 50% above average)So age-based programs must replace a lot of good stuff to get the badTypically, age-based failure rates are still low (~ 50% above average)So age-based programs must replace a lot of good stuff to get the bad
Although a Although a failure rate failure rate difference difference
of 3x is of 3x is significant,ssignificant,s
ome ome conditions conditions
provide 10x, provide 10x, e.g., 250’ e.g., 250’
cable cable sections sections that have that have failed 3 failed 3
times in the times in the last 5 years last 5 years
fail at 6.0 fail at 6.0 per mile per mile
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Refocus on satisfactionRefocus on satisfaction Understand what aspects of reliability truly affect customer satisfaction, so that you can do the right thing and not just do things right
Re-design the systemRe-design the system Look for ways to cost-effectively re-design the system to build in redundancy and to mitigate effects through sectionalizing and auto-restore
Research root causesResearch root causesFind other conditions that are cost-effectively monitorable, and develop the predictive relationships that would allow more targeted action
Design solutionsDesign solutionsFind the best ways, including new ways, to remedy the root causes and to mitigate the effects, including faster restoration and informing customers
Prioritize the workPrioritize the workCompute the ‘bang per buck’ for each type of remediation, replacement, redesign, etc., then optimize and prioritize accordingly
Monitor the resultsMonitor the resultsMonitor the effectiveness of the programs to see what is really working and to discover any new insights that come only ‘after the smoke clears’
Here is a road map up to the ‘next level’Here is a road map up to the ‘next level’
There is a better way than aged-based replacementThere is a better way than aged-based replacement
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Taking reliability programs to the ‘next level’Taking reliability programs to the ‘next level’
Questions and answersQuestions and answers
DANIEL E. O’NEILL
Director, T&D Reliability & Operations Practice
Main: (781) 270-0101
Home Office: (404) 816-5647
Mobile: (404) 307-3661
Fax: (404) 841-9460
200 Wheeler Road, Suite 400
Burlington, MA 01803
1043 Lenox Crest NE
Atlanta, GA 30324