Calculate Solar Yield: PVGIS vs. Weather Forecast vs. Monitoring
Calculate solar yield with PVGIS, weather forecast or monitoring. Method comparison by accuracy, timeframe and purpose.
Calculate Solar Yield: Three Methods Compared
How much electricity will your solar system actually produce? The answer depends on which method you use — and when in the system’s lifecycle you ask the question. This article compares the three key approaches: PVGIS (historical data), weather-based forecasts, and real-time monitoring.
Method 1: PVGIS — Historical Satellite Data
PVGIS (Photovoltaic Geographical Information System) is a free tool from the European Commission’s Joint Research Centre. It uses over 15 years of satellite-measured irradiance data to calculate expected annual yields.
Best for: Planning phase — system sizing, ROI calculations, financing decisions
| Feature | Detail |
|---|---|
| Data source | Satellite measurements (15+ years) |
| Accuracy | ±5-8% for annual yield |
| Timeframe | Long-term average (years) |
| Cost | Free |
| What it tells you | Expected annual and monthly yield at your location |
| Limitation | Cannot predict specific days or weeks |
Method 2: Weather-Based Forecast
Weather-based solar forecasts use numerical weather prediction (NWP) models to predict irradiance for the coming hours and days. They convert weather data into expected PV output for your specific system.
Best for: Operational phase — daily self-consumption optimisation, appliance scheduling
| Feature | Detail |
|---|---|
| Data source | Current NWP weather models + irradiance models |
| Accuracy | ±10-15% for daily yield |
| Timeframe | Hours to days ahead |
| Cost | Free (Solantiq) to paid (commercial APIs) |
| What it tells you | Expected output today and tomorrow |
| Limitation | Weather forecasts become less accurate beyond 3 days |
Method 3: Real-Time Monitoring
Monitoring systems measure actual output in real-time via your inverter or smart meter. They provide historical data, performance analytics, and fault detection.
Best for: Performance tracking — detecting issues, verifying expectations
| Feature | Detail |
|---|---|
| Data source | Inverter sensors / smart meter |
| Accuracy | 100% (actual measurement) |
| Timeframe | Real-time + historical |
| Cost | Usually included with inverter (free app) |
| What it tells you | Actual output, consumption, grid feed-in |
| Limitation | Only shows what happened, not what will happen |
Method Comparison
| Criterion | PVGIS | Weather Forecast | Monitoring |
|---|---|---|---|
| Data source | Satellite (historical) | Weather models (current) | Inverter sensors (real-time) |
| Accuracy | ±5-8% (annual) | ±10-15% (daily) | 100% (measured) |
| Timeframe | Long-term average | Hours to days | Real-time + historical |
| Best phase | Planning | Daily operation | Performance tracking |
| Cost | Free | Free (Solantiq) | Included with inverter |
| Solantiq tool | Solar Calculator | Solar Forecast | — |
When to Use Which Method
- Before purchase: Use PVGIS (via our Solar Calculator) to estimate annual yield and payback period
- After installation: Use weather forecast (via our Solar Forecast) to optimise daily self-consumption
- Ongoing: Use monitoring to verify performance matches expectations
- If yield seems low: Compare monitoring data against PVGIS reference — if actual yield is below 85% of PVGIS prediction, investigate
Table of Contents
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