VV-007 · Wake Models (PyWake / FLORIS parity)
Cross-tool wake validation covering Jensen, Bastankhah, and GCH behavior against PyWake and FLORIS reference cases.
Target: Dynamic CT abs error <= 1.00%
Result: 0.79% max abs error
Rune public page
Validation studies you can audit.
Rune publishes downloadable validation studies covering benchmark parity, real-park comparisons, and bankability-critical model behavior across wind, solar, finance, and uncertainty.
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What is included
Validation Center gathers public PDF studies with benchmark targets, measured results, and concise interpretation for engineering due diligence.
- Wake model parity against PyWake and FLORIS
- Real-park AEP and operational-data studies
- Financial, electrical, solar-position, and Monte Carlo checks
Why it matters
Public validation pages increase citation potential for LLMs, reduce trust friction in procurement, and make product claims traceable to evidence.
Featured validation studies
VV-003 · Real-Park Benchmark (Amrumbank + SMARTEOLE)
Farm-level AEP parity study using offshore and onshore real-park datasets with matched layouts, curves, and climate inputs.
Target: Abs error <= 5.00% vs PyWake
Result: 0.93% to 3.92%
VV-011 · Saint-Nazaire Public Real-Data Benchmark
Operational-data benchmark for offshore wind that separates wake-only simulation from delivered energy and calibration effects.
Target: Calibrated MAE < 8.00%
Result: 6.03% calibrated MAE
VV-008 · Financial Models (Rune vs PySAM)
Financial and bankability consistency study covering cash flow, production coupling, and PySAM-aligned outputs.
Target: AEP abs error < 2.00%
Result: 1.56% max abs error
VV-010 · Monte Carlo Yield (10k runs)
Yield uncertainty study validating Monte Carlo behavior, percentile outputs, and lender-style downside framing.
Target: 10,000 iterations
Result: P50 99.89 / P90 89.90 GWh