Utility-Scale Solar Performance Analyzer
Analyze degradation, forecast losses, and optimize O&M for utility-scale solar plants
What You Can Do
You can systematically interpret complex performance datasets from utility-scale solar plants (1 MW to 500+ MW) to identify root causes of underperformance, quantify degradation rates and soiling losses, and model maintenance interventions with quantified ROI. Claude helps you benchmark your plant against similar installations, forecast cash flow impacts of O&M decisions, and prioritize repairs or cleaning cycles based on actual performance data rather than generic schedules.
Features
Calculate annual and seasonal degradation curves from multi-year performance data to distinguish normal aging from anomalies
Identify whether underperformance is driven by soiling, inverter clipping, thermal losses, string failures, or equipment degradation
Compare actual vs. expected output by normalizing for plane-of-array irradiance, temperature, and ambient conditions
Evaluate the cost-benefit of different cleaning frequencies based on soiling impact and recovery curves
Rank inverters, strings, and sub-arrays by performance loss to focus O&M resources on highest-impact interventions
Project cash flow impacts and performance degradation under different maintenance strategies
Compare your plant's performance metrics against similar installations in your climate zone and technology type
Assess the effectiveness of past maintenance decisions using quantified before/after performance comparisons
Example Output
Example 1: Soiling Impact Analysis
Input: Monthly performance data (kWh), POA irradiance, rainfall, and cleaning dates for a 50 MW plant in the Southwest US.
Output:
- Soiling loss rate: 0.38% per day (escalating to 0.62% in dry season)
- Optimal cleaning cycle: Every 28 days during summer, every 45 days in winter
- Annual revenue impact of current cleaning schedule: $47K
- Projected savings with optimized schedule: $12K/year
Example 2: Degradation Rate Quantification
Input: 4 years of annual performance data from a 150 MW plant, normalized by irradiance and temperature.
Output:
- Overall degradation rate: 0.52% per year (within industry standard of 0.5–0.8%)
- Inverter A3 showing elevated degradation at 0.85%/year → recommend evaluation for replacement in Year 3
- String cluster B2-4 underperforming by 3.2% vs. baseline → potential wiring or module failure; recommend IR thermography
Example 3: Maintenance Strategy ROI
Input: Current O&M budget, proposed equipment upgrade, and 3-year performance forecast.
Output:
- Scenario A (status quo): Projected 4.1% cumulative output loss over 3 years; $180K cash impact
- Scenario B (inverter replacement): $85K capital investment; avoids $140K in output losses; net benefit $55K over 3 years
- Recommendation: Proceed with Scenario B in Q2 to align with seasonal maintenance window
What's Included
- SKILL.md: Core instruction file with skill overview, use cases, and analysis workflows
- Performance Data Template: Spreadsheet structure for inputting SCADA logs, irradiance, temperature, and cleaning event data
- Degradation Analysis Checklist: Step-by-step guide to prepare data, normalize outputs, and interpret degradation curves
- O&M ROI Calculator Framework: Cost-benefit comparison template for evaluating maintenance strategies
- Benchmarking Reference Guide: Industry-standard degradation rates, soiling factors, and climate-specific performance metrics for utility-scale PV
Who It's For
- Solar Operations Engineers — Managing day-to-day performance and scheduling maintenance interventions
- Asset Managers — Optimizing O&M budgets and forecasting long-term cash flow for utility-scale portfolios
- Plant Performance Analysts — Diagnosing underperformance and supporting performance guarantee claims
- Energy Procurement Teams — Quantifying degradation for energy purchase agreements and interconnection studies
- Solar Project Developers — Validating performance assumptions post-COD and optimizing operational strategies
Best For
- Performance degradation quantification and trend analysis for multi-year operational plants
- Soiling impact assessment and cleaning cycle optimization
- Inverter and sub-array underperformance diagnosis and prioritization
- Operations & maintenance strategy ROI modeling and cost-benefit analysis
- Plant benchmarking against regional or global utility-scale PV performance standards
- Pre-acquisition due diligence and performance guarantee validation
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