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Knowledge Based Asset Integrity
for wind farms
Andrew Martin
Technical Manager
Lloyd’s Register EMEA
23 May 2013
Lloyd’s Register – A Group Overview
• Celebrated our 250 year anniversary in 2010
• 8,000 employees of 90 nationalities
• 237 offices globally
• Four business divisions:
• Marine
• Energy
• Management Systems
• Transportation
• 2011/12 turnover £893m
• A Registered Charity
• Supports the Lloyd’s Register Educational Trust (LRET)
Come and see us on Stand J56
Knowledge Based Asset Integrity (KBAITM)
Likelihood of Failure
(events per year)
• Equipment type and items used
• Age, usage, environment, etc
• Equipment condition (based on
visual inspection, past
maintenance, failure causes and
condition monitoring, etc)
Consequence of Failure
(impact per event)
• Disruption to business
• Environmental + Health and Safety impacts
• Reputation – Public/Political
Consequence Ranking
ABCDE
HIGH
MED HIGH
MEDIUM
LOW
1
2
3
4
5
ProbabilityRanking
Maintenance and Inspection
Task Plan optimised to the
asset and the business
(£ impact per event)
• Includes industry best practices
• May increase or decrease current
maintenance
Why this approach?
• Improves reliability
• Consequential loss reduction - increasing
exported electrical power
• Provides justification for:
• Establishing the correct level of
maintenance and hence maintenance
expenditure
• Actions to reduce breakdowns such as
prioritising replacements
• Integrity measurements for additional
failure modes to give further
confidence in asset condition
Case study – Port Cranes
• Breakdown duration reduced
• Quay Side crane (QS) ‐24%;
• Rubber Tyred Gantry cranes (RTG) ‐12%
• Maintenance cost savings: QS 17%; RTG 32%
• Significant commercial operational benefits:
• Crane efficiency enhanced
• Containers handled and related safety all
improved
• Ship turnaround and throughput
improved
Case study – Oil refinery piping
• Pilot study on fixed equipment on eight
process units led to $1.5m in turnaround
cost savings and $7m in risk reduction
• Rolled out to 6 further refineries resulting
in over $160m in risk reduction and on-
going savings in turnaround plans.
Achieved within 3 years.
• Key lesson learned is the need to
continually audit and manage the system
to ensure the alignment of people
processes and technology
RBMI - RELIABILITY BASED MECHANICAL INTEGRITY
Achieving Value
Identifying the DELIVERED RISK
REDUCTION VALUE
Finding this CUI problem was
estimated to save the refiner $2MM.
An additional $4MM in lost
production was avoided when RBMI
identified exchanger problems before
they could affect the safe operation of
the refinery. This added up to over
$6.373 MM in reduced risk all within 3
months of completing the project.
The small branch connection on the line was found to be corroded nearly
through-wall. Continued operation without finding and repairing the damaged
connection would have resulted in a failure with potentially serious effect.
Configuration: Risk Units & Probability Factors are
identified for each asset type
Risk Units
Probability Factors
Configuration: Consequence factors - Economic, Safety,
Environmental & Reputational or client specified
Generate planned maintenance tasks
System Type A
This year 4 risk units in the asset are medium-high criticality
Shows number of
risk units in each
criticality band
Next year prediction shows criticality has further changed for
one risk unit – undertake pre-emptive work on this
Date for
criticality
calculation
Criticality
change
Summary
• Capture relevant data to make informed
decisions and update risk profile both at
implementation stage and through life
• Update maintenance planning and task
priorities
• Provide effective failure mode management in
response to changing equipment condition
• Retain operating knowledge even if
staff/contractors change
• Facilitate knowledge transfer across the asset
portfolio, irrespective of location
Wind farm pilot study – Knowledge Based Asset Integrity
• Actively seeking a partner to run a second
pilot project
Services are provided by members of the Lloyd's Register Group.
For further information visit www.lr.org/entities
Thank you – Any questions?
Andrew Martin
Technical Manager
Lloyd’s Register EMEA
71 Fenchurch Street
London, EC3M 4BS
T +44 (0)7713 985983
E Andrew.Martin@lr.org
w www.lr.org/energy

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Andrew martin - Knowledge Based Asset Integrity (KBAI™)

  • 1. Knowledge Based Asset Integrity for wind farms Andrew Martin Technical Manager Lloyd’s Register EMEA 23 May 2013
  • 2. Lloyd’s Register – A Group Overview • Celebrated our 250 year anniversary in 2010 • 8,000 employees of 90 nationalities • 237 offices globally • Four business divisions: • Marine • Energy • Management Systems • Transportation • 2011/12 turnover £893m • A Registered Charity • Supports the Lloyd’s Register Educational Trust (LRET) Come and see us on Stand J56
  • 3. Knowledge Based Asset Integrity (KBAITM) Likelihood of Failure (events per year) • Equipment type and items used • Age, usage, environment, etc • Equipment condition (based on visual inspection, past maintenance, failure causes and condition monitoring, etc) Consequence of Failure (impact per event) • Disruption to business • Environmental + Health and Safety impacts • Reputation – Public/Political Consequence Ranking ABCDE HIGH MED HIGH MEDIUM LOW 1 2 3 4 5 ProbabilityRanking Maintenance and Inspection Task Plan optimised to the asset and the business (£ impact per event) • Includes industry best practices • May increase or decrease current maintenance
  • 4. Why this approach? • Improves reliability • Consequential loss reduction - increasing exported electrical power • Provides justification for: • Establishing the correct level of maintenance and hence maintenance expenditure • Actions to reduce breakdowns such as prioritising replacements • Integrity measurements for additional failure modes to give further confidence in asset condition
  • 5. Case study – Port Cranes • Breakdown duration reduced • Quay Side crane (QS) ‐24%; • Rubber Tyred Gantry cranes (RTG) ‐12% • Maintenance cost savings: QS 17%; RTG 32% • Significant commercial operational benefits: • Crane efficiency enhanced • Containers handled and related safety all improved • Ship turnaround and throughput improved
  • 6. Case study – Oil refinery piping • Pilot study on fixed equipment on eight process units led to $1.5m in turnaround cost savings and $7m in risk reduction • Rolled out to 6 further refineries resulting in over $160m in risk reduction and on- going savings in turnaround plans. Achieved within 3 years. • Key lesson learned is the need to continually audit and manage the system to ensure the alignment of people processes and technology RBMI - RELIABILITY BASED MECHANICAL INTEGRITY Achieving Value Identifying the DELIVERED RISK REDUCTION VALUE Finding this CUI problem was estimated to save the refiner $2MM. An additional $4MM in lost production was avoided when RBMI identified exchanger problems before they could affect the safe operation of the refinery. This added up to over $6.373 MM in reduced risk all within 3 months of completing the project. The small branch connection on the line was found to be corroded nearly through-wall. Continued operation without finding and repairing the damaged connection would have resulted in a failure with potentially serious effect.
  • 7. Configuration: Risk Units & Probability Factors are identified for each asset type Risk Units Probability Factors
  • 8. Configuration: Consequence factors - Economic, Safety, Environmental & Reputational or client specified
  • 9. Generate planned maintenance tasks System Type A
  • 10. This year 4 risk units in the asset are medium-high criticality Shows number of risk units in each criticality band
  • 11. Next year prediction shows criticality has further changed for one risk unit – undertake pre-emptive work on this Date for criticality calculation Criticality change
  • 12. Summary • Capture relevant data to make informed decisions and update risk profile both at implementation stage and through life • Update maintenance planning and task priorities • Provide effective failure mode management in response to changing equipment condition • Retain operating knowledge even if staff/contractors change • Facilitate knowledge transfer across the asset portfolio, irrespective of location
  • 13. Wind farm pilot study – Knowledge Based Asset Integrity • Actively seeking a partner to run a second pilot project
  • 14. Services are provided by members of the Lloyd's Register Group. For further information visit www.lr.org/entities Thank you – Any questions? Andrew Martin Technical Manager Lloyd’s Register EMEA 71 Fenchurch Street London, EC3M 4BS T +44 (0)7713 985983 E Andrew.Martin@lr.org w www.lr.org/energy