Energy Efficiency Program Design Optimizer
Design code-compliant energy efficiency programs with verified savings frameworks
What You Can Do
You can design complete energy efficiency program architectures that balance technical rigor, regulatory compliance, and measurable outcomes. This skill helps you establish participant eligibility frameworks, develop baseline methodologies, structure savings calculation protocols, and create verification systems that satisfy utility commissions, funders, and program participants while delivering verified energy and demand savings.
Features
articulate logic models linking program activities to energy savings outcomes and participant behavior change
design approaches for defining pre-program consumption baselines across residential, commercial, and industrial segments
structure M&V protocols including deemed savings tables, deemed coefficient approaches, and custom calculation methods
align program designs with DSM portfolio strategy and regulatory requirements specific to your jurisdiction
develop participant screening criteria, enrollment processes, and market segment targeting strategies
calculate and schedule rebate amounts, incentive triggers, and cost-effectiveness thresholds by measure type
align program rules with utility commission requirements, codes of conduct, and performance standards
establish program-specific KPIs, savings targets, and tracking mechanisms for ongoing evaluation
Example Output
Program Design Output Example 1: Residential HVAC Program Baseline
- Baseline definition: Weather-normalized consumption model using 5-year historical data (TMY3 adjustments)
- Deemed savings: 12% annual consumption reduction for heat pump replacement; 8% for furnace tune-up
- Verification: Post-installation inspection + 1-year consumption comparison against modeled baseline
- Eligible segments: Owner-occupied homes, rental properties (landlord consent required)
- Incentive schedule: $500 (heat pump), $150 (tune-up); higher amounts for low-income participants
Program Design Output Example 2: Commercial Lighting Custom Measure Protocol
- Baseline: Pre-retrofit lighting power density (W/ft²) from site survey + assumed operating hours from ASHRAE defaults
- Savings equation: (kWpre − kWpost) × hours/year × realization rate
- Verification tiers: Deemed (standard offices ≤500 kWh savings), Stipulated (prescriptive fixtures), Custom (engineering calculations for industrial)
- Participant cost threshold: Incentive caps at 50% of measure cost; cost-effectiveness floor of 0.8 TRC
- Post-installation documentation: Photographic evidence, equipment specification sheets, operating schedule confirmation
What's Included
- SKILL.md instruction file: complete program design methodology with decision trees and compliance checkpoints
- Program design template: structured worksheet covering program theory, eligibility, baselines, savings verification, and performance metrics
- Baseline methodology framework: approaches for deemed, stipulated, and custom baseline establishment with regression and engineering calculation examples
- M&V protocol checklist: verification requirements, documentation standards, and quality assurance procedures by program type
- Regulatory compliance matrix: mapping requirements across FEMP, ASHRAE, utility commission standards, and IOU performance benchmarks
Who It's For
- Energy efficiency program managers — designing residential, commercial, or industrial efficiency initiatives
- Utility program planners — structuring DSM portfolios and demand-side resource portfolios aligned with regulatory filings
- Energy consultants — architecting custom programs for municipal, state, or regional energy offices
- Evaluation specialists — establishing measurement frameworks and savings verification methodologies
- Regulatory compliance officers — ensuring program designs meet utility commission and performance standards requirements
Best For
- Designing new residential or commercial efficiency rebate programs
- Establishing baseline methodologies for custom or prescriptive energy measures
- Structuring savings verification and M&V protocols for regulatory approval
- Creating program rules, eligibility criteria, and participant enrollment workflows
- Developing deemed savings tables and incentive schedules by measure type and market segment
- Aligning program designs with demand-side management portfolio strategy and utility commission requirements
You might also like
You can search Wikidata using four complementary methods: keyword search via the Action API for label-based lookups, semantic/hybrid search through the Vector Database for fuzzy concept matching, direct entity retrieval via Special:EntityData for instant JSON data, and SPARQL queries through WDQS for complex graph relationships and reporting. Each method is optimized for different use cases—from quick entity lookups to multi-table data analysis across millions of linked facts.
by diegosouzapw
You can systematically analyze competitors across feature parity, positioning strategies, pricing models, and interaction patterns. This skill transforms scattered competitive intelligence into a working matrix that reveals differentiation gaps, underserved segments, and strategic opportunities—helping you prioritize roadmap decisions and justify go-to-market positioning with data.
by diegosouzapw
You can structure energy efficiency programs from baseline establishment through full implementation planning. The framework guides you through savings calculation methodologies, financial modeling, stakeholder engagement strategies, and sector-specific program design. You'll produce defensible programs that integrate market incentives, participant behavior analysis, operational constraints, and regulatory requirements into unified implementation strategies that achieve measurable savings targets.
by diegosouzapw
This skill systematically validates your regulatory filings against FERC and state commission requirements, cross-references rate calculations with supporting schedules, and flags inconsistencies that could trigger discovery requests or delays. You submit filings with confidence knowing all exhibits are present, calculations cascade correctly, and compliance checklists are complete.
by diegosouzapw
You can analyze renewable energy generation patterns to determine safe penetration levels, forecast real-time grid impacts from variable wind and solar resources, identify transmission constraints limiting renewable export, and design operational procedures that balance stability requirements with renewable integration objectives. The skill helps you quantify grid effects, calculate ramping requirements, and evaluate infrastructure investments needed to support high renewable penetration scenarios.
by diegosouzapw
You can rapidly diagnose medium-voltage distribution faults by analyzing protective device coordination sequences, load flow impacts, and field crew reports within Claude. The skill helps you distinguish between transient and permanent faults, identify whether issues stem from equipment failure or external factors, and validate remediation strategies before implementing risky switching operations. This accelerates your analytical phase so field resources can be deployed efficiently and switching decisions are made with confidence.
by diegosouzapw
You can input grid state data—current generation mix, transmission constraints, demand forecasts, and unit availability—and Claude analyzes trade-offs between economic dispatch and reliability, recommending optimal generator scheduling and constraint management strategies. The skill helps you identify dispatch opportunities missed in manual review, evaluate whether to commit additional units or curtail load, and communicate dispatch rationale to operators and management during challenging conditions like high renewable penetration or unexpected outages.
by diegosouzapw
This skill automates the creation of topic files in your .notes/ directory with pre-formatted YAML frontmatter and section templates. You provide a topic name, and Claude generates a properly named file with consistent metadata (description, keywords, timestamps) and ready-to-use section headers. This eliminates manual setup time and ensures all your knowledge management files follow the same organizational structure.
by diegosouzapw