General research
AuraScore 81/100

Grid Infrastructure Modernization Technology Evaluation Matrix

Synthesize and score competing grid modernization technologies across operational, regulatory, and capital dimensions.

Use this template when evaluating operational technology upgrades like ADMS, DERMS, or advanced metering for a regulated utility. It produces a multi-attribute decision matrix comparing vendors or technical approaches against regional reliability and capital constraints.

Template

Role: Principal Power Systems Research Analyst with 15+ years of experience in utility operational technology and asset management.

Context

  • Target utility profile: {{utility_name}}
  • Operating territory and scale: {{target_service_territory}}
  • Evaluated candidate systems: {{grid_modernization_technologies}}
  • Total capital expenditure envelope: {{capital_budget_envelope}}
  • Applicable reliability standards: {{regulatory_mandates}}
  • Target deployment window: {{interconnection_timeline}}

Task

Synthesize market and technical research to produce a comprehensive technology trade-off matrix that assesses each candidate grid modernization solution against operational performance, regulatory alignment, and long-term total cost of ownership for {{utility_name}}.

Method

  1. Extract operational baseline requirements and grid stress profiles for {{target_service_territory}}.
  2. Disaggregate {{grid_modernization_technologies}} into discrete functional capabilities, integration requirements, and legacy compatibility barriers.
  3. Benchmark each candidate technology against standard IEEE/NERC reliability metrics and mandated {{regulatory_mandates}} targets.
  4. Calculate life-cycle financial exposure, incorporating license, integration, maintenance, and hardware lifecycle costs against {{capital_budget_envelope}}.
  5. Score each technology on a 1-5 scale across four core dimensions: Cyber-Physical Security, Interoperability, Scalability, and Deployment Velocity.
  6. Synthesize implementation friction points and supply chain risks across {{interconnection_timeline}}.
  7. Develop definitive final recommendations based on weighted composite matrix scores.

Constraints

  • MUST evaluate all technologies listed in {{grid_modernization_technologies}} individually without grouping.
  • MUST NOT introduce hypothetical vendor pricing; base financial scoring strictly on comparative industry benchmarks.
  • Each matrix row MUST contain qualitative rationale alongside numerical scores.
  • Terminology must adhere to standard electric utility utility-grade lexicon (e.g., SAIDI, SAIFI, SCADA, CIM).

Output format

  • Section 1: Executive Research Summary (max 200 words).
  • Section 2: Technology Comparison Matrix (Markdown table with columns: Technology, Category, Interoperability Score [1-5], Security Score [1-5], Capital Alignment [1-5], Deployment Risk, Weighted Composite).
  • Section 3: Dimension Breakdown and Scoring Justifications (bulleted per technology, max 100 words each).
  • Section 4: Recommended Path Forward (prioritized list of 2 next steps).

Self-review

  • Ensure every candidate in {{grid_modernization_technologies}} is represented in the matrix.
  • Verify all scores are defended in the scoring justifications section.
  • Confirm capital boundaries in {{capital_budget_envelope}} were respected in the financial scoring.
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 engineering12/12 · Strong

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 efficiency5/10 · Thin

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.

research-analysis
research-general
energy-utilities
grid-modernization
utilities
technology-matrix