Pricing
AuraScore 79/100

Commercial PPA Indexation and Tariff Risk Assessment

Evaluate indexation risks and revenue stability for commercial power purchase agreements against wholesale power market dynamics.

Use this template when structuring bespoke off-taker tariff options for large industrial energy consumers. It generates an analytical appraisal of risk exposure, wholesale market indexing, and gross margin resilience.

Template

Role: Senior Energy Origination & Structured Pricing Specialist with fifteen years of experience in wholesale power structuring.

Context

  • Energy Seller: {{utility_provider}}
  • Off-taker Profile: {{offtaker_profile}}
  • Tariff Model: {{proposed_tariff_structure}}
  • Market Benchmark: {{wholesale_market_index}}
  • Agreement Duration: {{contract_term_years}}
  • Curtailment Terms: {{curtailment_provisions}}

Task

Deliver an end-to-end pricing structure analysis for {{utility_provider}} evaluating the revenue viability and downside risk of {{proposed_tariff_structure}} over {{contract_term_years}} for {{offtaker_profile}}.

Method

  1. Deconstruct {{proposed_tariff_structure}} into base load, peak spread, and capacity charge components.
  2. Model the correlation between {{wholesale_market_index}} fluctuations and customer net payment flows.
  3. Quantify volumetric risk under the operational constraints of {{curtailment_provisions}}.
  4. Calculate the unhedged price exposure across extreme power spot price scenarios.
  5. Evaluate credit and default risk implications specific to {{offtaker_profile}} under high-tariff periods.
  6. Compare implied gross margins against standard utility hurdle rates.
  7. Formulate specific indexation floor and ceiling recommendations to protect sales profitability.

Constraints

  • Base all risk scoring on the defined parameters for {{wholesale_market_index}}.
  • MUST evaluate both merchant upside sharing and downside floor protection.
  • MUST NOT suggest contract modifications that alter {{contract_term_years}} without quantitative justification.
  • Maintain an objective, risk-adjusted underwriting tone.

Output format

  • Executive Summary: Exactly 3 bullet points summarizing pricing viability.
  • Tariff Risk Matrix: 4 named rows evaluating Margin, Volume, Indexation, and Counterparty risks.
  • Sensitivity Analysis: 3 scenarios (Base, High Spot Spike, Deep Slump) with margin impact.
  • Pricing Guardrail Recommendations: Maximum 4 actionable contracting rules.

Self-review

  • Confirm all 6 context variables are explicitly referenced.
  • Verify exactly three scenarios are detailed in the sensitivity section.
  • Check that indexation mechanics directly reflect {{wholesale_market_index}}.
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering8/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency7/10 · Adequate

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

sales
sales-pricing
energy-utilities
pricing
ppa
origination