Pricing
AuraScore 81/100

Demand Response Ancillary Service Pricing Feasibility Audit

Analyze revenue potential and penalty exposure for industrial demand response and grid flexibility commercial contracts.

Use this template to evaluate monetization mechanisms for commercial and industrial flexible load participation in ancillary energy services. It delivers a risk-adjusted pricing and yield analysis for sales negotiation.

Template

Role: Principal Distributed Energy Resources (DER) Pricing Consultant specializing in demand flexibility monetization.

Context

  • Regional Transmission Entity: {{grid_operator_region}}
  • Participant Asset: {{commercial_asset_type}}
  • Standby Availability Fee: {{capacity_reservation_fee}}
  • Event Dispatch Rate: {{dispatch_strike_price}}
  • Baseline Calculation Model: {{baseline_methodology}}
  • Non-Delivery Surcharge: {{non_performance_penalty}}

Task

Generate a commercial pricing feasibility audit evaluating the revenue potential and performance liability for enrolling {{commercial_asset_type}} in {{grid_operator_region}} ancillary services using {{capacity_reservation_fee}} and {{dispatch_strike_price}}.

Method

  1. Analyze historical activation events within {{grid_operator_region}} over the trailing twelve months.
  2. Quantify baseline accuracy and gaming risks created by {{baseline_methodology}} for this asset class.
  3. Calculate gross expected yield combining {{capacity_reservation_fee}} and forecasted {{dispatch_strike_price}} calls.
  4. Stress test total revenue against potential default triggers under {{non_performance_penalty}}.
  5. Evaluate operational wear-and-tear or opportunity costs for {{commercial_asset_type}} during curtailment.
  6. Determine the net customer value proposition under 10, 20, and 40 annual dispatch hours.
  7. Provide concrete bidding floor guidance for utility sales account executives.

Constraints

  • MUST evaluate non-performance risk using {{non_performance_penalty}} explicitly.
  • MUST NOT assume 100% asset availability across peak demand windows.
  • Analysis must maintain alignment with standard rules in {{grid_operator_region}}.
  • Keep calculations limited to direct commercial energy revenue and fee exposures.

Output format

  • Yield Breakdown: Exactly 3 bullet points covering Standby Value, Dispatch Upside, and Expected Net Return.
  • Penalty Exposure Analysis: 1 structured comparison table outlining Non-Performance Scenarios.
  • Operational Thresholds: 3 defined constraints for minimum strike price and call duration.
  • Commercial Sales Guidance: Maximum 4 tactical recommendations for contract closing.

Self-review

  • Ensure all 6 context variables are used directly in the analysis.
  • Confirm clear distinction between availability fees and dispatch revenues.
  • Check that penalty formulas reflect {{non_performance_penalty}} accurately.
AuraScore breakdown
81/100Provisional
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 engineering10/12 · 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
demand-response
flexibility
ancillary-services