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ea technology

ea technology. Delivering your energy solutions. The use of ‘Health Indices’ to determine end of life and remnant life for distribution assets. D T Hughes EA Technology UK. Condition Based Risk Management. Use of condition information to understand future performance

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ea technology

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  1. ea technology Delivering your energy solutions

  2. The use of ‘Health Indices’to determine end of life and remnant life for distribution assets D T Hughes EA Technology UK

  3. Condition Based Risk Management • Use of condition information to understand future performance • Maximise the use of existing information • Define additional condition assessment • To enable specific decisions on replacement/EOL

  4. Context • Ageing asset population • Pressures to maintain/improve performance and to reduce costs • Age (by itself) is not an acceptable reason to replace assets • Must demonstrate need and consequences, condition and future performance • DPCR 4, and Ofgem ARM

  5. A Health Index (To define proximity to EOL) • A Health Index is means of combining varied and relatively complex condition information as a single number • Define significant condition criteria, code information numerical, apply weightings and develop a simple algorithm to generate a HI for each asset. • Rank and apply calibration

  6. Health Index Condition Remnant Life (years) Probability of failure 100 Bad At EOL (<5 years) High Poor 5 - 10 Medium Fair 10 - 20 Low Good >20 Very Low 0

  7. From the health index to probability of failure and beyond • Defined a process to translate HI to probability of failure • Estimate future health index values based on degradation processes • Estimate future failure rates and effects of different intervention strategies

  8. Health Index Profile for 11kV OHLs

  9. Current and future failure rates

  10. Summary • Process goes from condition information to probability of failure and future failure rate • Assumptions/approximations however everything is related back to physical condition, degradation and failure processes and actual fault rates. • Sanity checks and links to reality throughout • Provides a vital input to overall risk models

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