1 Project Nexus Approach to modelling costs and benefits Cesar Coelho Ofgem Project Nexus UNC...

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Transcript of 1 Project Nexus Approach to modelling costs and benefits Cesar Coelho Ofgem Project Nexus UNC...

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Project NexusApproach to modelling costs and benefits

Cesar Coelho

Ofgem

Project Nexus UNC Workgroup15 May 2012

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Agenda

• Overall approach to analysis and modelling

• Steps for conducting analysis

• Take-up scenarios

• Costs and benefits

• Competition and distributional impacts

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Where we are

• Project Nexus (PN) has the potential to deliver significant benefits for consumers

• At PNAG in March, Ofgem offered to help support the workgroup’s analysis

• We have developed an approach for modelling the costs and benefits of PN for discussion today

• We also intend to facilitate discussion on consumer issues

Ofgem’s role

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Overall approach• Standard approach to cost benefit

• NPV modelling costs and benefits

– Decision on time horizon

– Discounting

• Uncertainty

– Scenario-specific uncertainty (e.g. specific to PN implementation)

– Universal uncertainty (e.g. Magnitude of energy prices)

• Approach to questions: simplify so these do not need to reflect the detail of the modelling

High-level principles

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NP

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Steps for conducting the analysis

Establish potential take-up scenarios

Estimate benefits, quantify where possible

Compare Nexus implementation with counterfactual scenarios

Assess any impacts on competition, distribution of costs & benefits

High-level principles

Establish how industry costs would change according to the level of take up

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Step 1 – Take-up scenarios

• Take-up scenarios drive:

– Costs

– Benefits

– Impacts on competition

• Define:

– Implementation scenario

– Range of counterfactual scenarios

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Step 1 – Take-up scenarios – Settlements

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Counterfactual: Maximum plausible take-up of DM settlement without Nexus implementation (LSP) 3

Counterfactual: Minimum plausible take-up of DM settlement without Nexus implementation (LSP)

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Settlements implemented: Maximum plausible take-up of daily settlement products

Settlements implemented: Minimum plausible take-up of daily settlement products

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Step 1 – Take-up scenarios – Settlements time reference

TIMEMilestone for framing stakeholder questions – Post-implementation

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Time to be used as reference to frame questions:

•Need to understand current take-up (DM/NDM)•Post implementation assumption: Daily meter data is available•Post-2020

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Milestone for framing stakeholder questions – Pre-implementation (central agent)

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TIME

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Milestone for framing stakeholder questions – Post-implementation

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Milestone for framing stakeholder questions – Pre-implementation

Step 1 – Take-up scenarios – Settlements questions

Question:

•Assuming that it is possible to access daily meter reads, what are minimum and maximum likely take-up scenarios for each settlements product (at milestone XX)?

Bottom up + top down approach:

•Ask the group for a common view•Ask individual stakeholders for view across their portfolio, weight by portfolio size

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Step 1 – Take-up scenarios – AQ, MPR frequency

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Milestone for framing stakeholder questions – Post-implementation

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Rolling AQ/MPR implemented: Maximum plausible take-up

Rolling AQ/MPR implemented: Minimum plausible take-up

Time to be used as reference to frame questions:

•Post implementation assumption: Daily meter data is available•Post-2020

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Step 1 – Take-up scenarios – AQ, MPR frequency questions

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Question:

•Assuming that it is possible to access daily meter reads, what percentage of your portfolio would update the AQ/be reconciled on a monthly, quarterly, six monthly, annual basis (at milestone XX)?Bottom up + top down approach:

•Ask the group for a common view•Ask individual stakeholders for view across their portfolio, weight by portfolio size

For discussion:

•Frequency intervals•Counterfactual

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Step 2 – A framework for costs – Applying a cost curve

Take-up100%

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t Today’s level of DM-settlement take-up

Increased take-up of DM settlement over time

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Step 2 – A framework for costs – Question on costs (1)

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Take-up100%

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Cost at maximum plausible take-up, post-implementation

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Cost at maximum plausible take-up, counterfactual

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Question:

•What would your costs be to meet the take-up of DM settlement at (1), (2), (3) and at (4)?

Cost at minimum plausible take-up, post-implementation

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Cost at minimum plausible take-up, counterfactual

xx

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Step 2 – A framework for costs – Question on costs (2)

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Take-up100%

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Question:

•Are there levels of take-up that would require you to make capital investment? If so, at what level of take up do these bite?•How much additional capital investment is required?

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xx

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Additional detail on upgrade points and costs

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Step 2 – A framework for costs – Sensitivity analysis

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Take-up100%

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Sensitivities

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Potential benefits• Accurate allocation of energy costs:

– Lower balancing/settlements costs

– Suppliers’ costs more accurately reflect customer usage

• Other benefits

– Long term gas purchasing gains

– Identify and reduce unallocated units

– Efficiencies/cost savings

• Network benefits from Nexus

– More accurate allocation of network costs

– Better network planning

– More accurate reporting of losses

Step 3 – Assessing benefits

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Step 4 – Comparing costs and benefits (1)

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TIME

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• Compare implementation costs and benefits...

... with counterfactual scenarios and sensitivity testing.

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TIME

PN Implemented

NPV

Net cost

Net benefit

Hurdle test

Sensitivity testing

High-level approach

•Quantitative modelling gets you so far•Test is what then has to be delivered by non-quantified benefits to go ahead•Apply this methodology to each counterfactual scenario / sensitivity

Could derive from qualitative benefits

Step 4 – Comparing costs and benefits (2)

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Competitive and distributional impacts

• Need to assess impacts on competitive position of market participants

• Quantify distributional effects / improvements in allocation

– Allocation of charges

– Charges effectively paid – reconciliation

– Effects of meter reads submission on allocation and reconciliation

Step 5 – Distributional effects

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Different rules for different segments

• NDM SSP– Allocation based on annual AQ– No reconciliation– Meter reads do not affect reconciliation; only affect AQ on an

annual basis

• NDM LSP– Allocation based on annual AQ– Reconciliation once a meter read is submitted– Meter reads used for reconciliation; only affect AQ on an annual

basis

Step 5 – Distributional effects – Market segments

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Approach

• 2 sources for inaccuracy if daily meter reads are not used– allocation– reconciliation

• Bottom-up approach (zero-sum game between providers, but possibly not between segments of customers)– Assume error for allocation– Assume error for reconciliation– Possibility for using different profiles for errors

Step 5 – Distributional effects – Approach

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