NIE Networks:Using a risk framework in practice
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Transcript of NIE Networks:Using a risk framework in practice
USING A RISK FRAMEWORKApplying the Common Network Asset Indices Methodology in practice
April Hutchen, SEAMS Sam Gibson, NIE NetworksKyle Taylor, NIE Networks
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Background to the project
• The Common Asset Indices Methodology was developed by the GB DNOs, and subsequently approved by OFGEM in early 2016
• NIE Networks were looking at different tools to support their RP6 Price Control submission and Asset Investment Planning moving forward
• SEAMS started working with NIE Networks in November 2015 to support the RP6 submission
• This presentation will show how the CNAIM methodology has been used to support NIE Networks regulatory submission
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Criticality overview
Type Safety Rating
CriticalityIndex
ConsequentialCost
NetworkSafety EnvironmentalFinancial
Reference Safety Cost
Safety Factor ReferenceFinancial Cost
FinancialFactors
ReferenceEnvironmental
Cost
EnvironmentalFactors
ReferenceNetwork Cost
NetworkFactor
Type Safety Rating
Access Financial Rating
Category Financial Rating
Type Environment
Rating
Size Environment
Rating
Location Environment
Rating
CustomerSensitivity
Number of Customers
Load
Type
Asset Register Category
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NIE Networks
• NIE Networks is the T & D network owner / operator• Wholly owned by Electricity Supply Board (Dublin), the semi-state owned Republic of
Ireland utility• Circa. 860,000 customers• Major industries…pharma, agri, IT, aerospace and tourism• Assets ranging from 275kV right down to domestic meters• Significant and growing penetration of renewable generation, both Large Scale and
Small Scale• Connections business recently opened to competition (>5MW customers), with
smaller connections to follow• Regulated by UREGNI (UR) in line with Ofgem practice• Currently in RP5, with RP6 due to start in October 2017, running to March 2024
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Why use the Common Methodology at NIE?
• Standardised assessment of asset Health and Criticality• Projection of future Health degradation• Application of agreed, national, failure rates and costs, and costs of intervention• NIE Networks observer to DNO Working Group• Adopted by OFGEM in early 2016• Monetises risk, both now and in the future• Ranks assets within category by cost of risk• Allocates Health and Criticality scores• Used primarily as a regulatory reporting tool• However, can we use the Common Methodology to produce investment proposals?
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SEAMS optimisation
• Input the ranked lists of assets, including risk costs and intervention options• Apply objectives
No investment Maintain risk within class Maintain overall risk
• Allow optimiser to carry out Cost Benefit Analysis, to determine optimum investment• Articulate reduction in risk in monetary terms• Articulate optimum blend of interventions
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Assessment of approach
• A standardised (so defendable) approach to assessing Health and Criticality• Use of standardised failure rates and costs allows consistent ranking• BUT ... not true to individual DNO specifics (eg. London / Belfast / Inverness?)
• Similarly, SEAMS optimisation can absorb standardised (i.e. CNAIM) interventions • Develops an investment proposal based on agreed principles and costs• BUT ... Investment is not based on DNO’s own costs
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So where next?
• Apply CNAIM to articulate Health and Criticality using standardised costs• Apply CNAIM methodology principles, but with DNO specific costs, to articulate
actual Health and Criticality of own assets• Apply SEAMS optimisation, again based on DNO specific costs, to develop a tailored
investment proposal (or series of proposals with varying objectives)• Consider grouped assets
Optimisation of switchboards, package substations• Can approach be applied to other asset groups (outside of CNAIM)?
Civils Control & Protection
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Benefits of Cross Asset Optimisation
• Asset level models – consider all potential interventions
• Capital replacements, operational interventions, inspections
• Enables the trading of investment decisions across asset classes
• NIE Networks models currently include 5 major asset classes and can be quickly grown
• Allows ‘what if’ scenario analysis – minimise whole life cost or risk
What is my optimal investment profile with a 5% budget reduction? What is the cost required to reduce my global risk profile by 10%? What is the impact of moving £500K from wooden poles to substations?
• Cross Asset Optimisation delivers a typical cost savings of 7 to 17%
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Conclusions & Recommendations
• The ability to model an asset base, providing a monetised view of risk• Standardised, so defendable• Methodical, data driven, objective, repeatable• Step change in regulated industries where investment programmes are projected
over the medium to long term• Data will never be perfect; start where you’re at!
• The environment can be built up – NIE Networks started with one asset class
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HI / CI examples
1 2 3 4 5 1 2 3 4 5 1 2 3 4 51 1 12 45 12 5 8 70 2 1* 3** 6 2 47 6 7 7 3 703 3 1 4 3 1 1 3 4 44 4 4
48 12 5 9 51 6 7 7 3
* Denotes Oil Reconditioning** Denotes Two Cooler Replacements & One Bushing Replacement
1 2 3 4 5 1 2 3 4 5 1 2 3 4 51 1 12 257 45 27 17 30 376 2 2 29 31 2 247 55 23 26 25 3763 13 8 4 1 2 28 3 2 2 3 11 7 2 5 3 284 4 4
270 53 31 18 32 2 31 258 62 25 31 28
1 2 3 4 5 1 2 3 4 5 1 2 3 4 51 7 8 15 1 1 7 8 152 698 35 3 296 1032 2 186 186 2 866 51 2 113 10323 78 21 99 3 14 14 3 85 7 7 994 4 4
783 35 3 325 200 958 58 2 128
Health Score Index Health Score Index
Criticality Index
Criticality Index
Criticality Index
Criticality Index
Criticality Index
132kV Transformers
EHV Transformers
Health Score Index Health Score Index
Criticality Index
Criticality Index
Health Score Index
Criticality Index
Health Score Index
Health Score Index Health Score Index
EHV Switchgear
Health Score Index
Criticality Index