Yield Predictions
AI-powered crop and energy forecasts that transform location data into reliable, bankable projections for your agrivoltaic projects.
What This Module Does
Yield Predictions estimates how much energy an agrivoltaic site will produce at a given location and configuration, turning raw data into reliable inputs for financial modeling.
Astronomical Solar Geometry
Precise sun position calculations using pvlib for 10-minute resolution throughout the year.
NASA Historical Weather
20+ years of irradiance and temperature data from NASA POWER API for accurate climate modeling.
PV Orientation Logic
Advanced tracking algorithms for fixed, single-axis, and dual-axis mounting configurations.
Real-Time Solar Position Tracking
Our algorithms calculate the sun's position at high temporal resolution, computing elevation and azimuth angles to optimize panel orientation throughout the day.
Solar elevation
0°
Irradiance
0 W/m²
How It Works
From location input to energy projections in five streamlined steps
Location Input
Latitude, longitude coordinates
Weather Data
NASA POWER API integration
Solar Geometry
pvlib position calculations
ML Optimization
Trajectory computation
Energy Output
kWh/kWp projections
Technical Deep Dive
Solar Position & Vector Geometry
Using pvlib, we compute the sun's elevation and azimuth at 10-minute intervals throughout each day. This is converted to a 3D unit vector representing the direction of incoming radiation.
3D Solar Vector Coordinate System
Panel Orientation Model
The panel is represented by its normal vector, parameterized by pitch (alpha) and azimuth (beta). We support three mounting configurations:
- Fixed mounting: Single optimized angle pair for the year
- Single-axis: Time-varying pitch with fixed azimuth
- Dual-axis: Both pitch and azimuth vary in real-time
Temperature Correction
Real-world panels lose efficiency as temperature increases. Our model applies a temperature derating factor based on historical climate data:
For every degree above 25°C, panel efficiency decreases by 0.5%. This keeps yield estimates realistic for hot climates.
Predicted Monthly Energy Output (kWh/kWp)
Annual Projection
For each month, we pick a representative mid-month day, compute the energy/GHI ratio, and scale by actual monthly irradiance data:
- 1Select 15th of each month as representative day
- 2Compute energy production / GHI ratio
- 3Apply ratio to real monthly GHI from NASA data
- 4Scale by month length for accurate totals
What You Get
Structured outputs ready for financial modeling and project development
Monthly Energy Profile
12 values in kWh/kWp for financial model input
Annual Yield
Single kWh/kWp value for LCOE calculations
Temperature Profile
Monthly averages affecting panel performance
GHI Breakdown
Monthly irradiance for validation
Tracking Trajectories
Optimal angle paths for installation
Conversion Factors
Energy/GHI ratios for each configuration
Why It Matters
Realistic Bridge
Connects theoretical tracking strategies to actual 20-30 year asset performance.
Physics Encoded
The physics is computed once, so developers don't reinvent yield spreadsheets for each site.
Finance-Ready
Outputs integrate cleanly with NPV, IRR, and payback calculation pipelines.
Ready to Predict Your Yield?
Start with our calculator or contact us for detailed site analysis.