Key validation & research papers
Not sure if LES is right for your project? Whiffle’s technology is validated through independent studies, industry collaborations, and published research, spanning hundreds of sites. Browse the insights below to see where and how Whiffle LES makes a difference.
Explore the evidence
RWE & Whiffle Validation Study (170 sites, 300+ met masts)
Whiffle, in collaboration with RWE, validated its mesoscale and LES models against a dataset spanning 170 sites and 300+ measurement locations. Results show strong model performance, with wind speed standard deviations of just 0.4 m/s (LES) and 0.5 m/s (Meso) – substantially lower uncertainty than standard industry datasets.
Mesoscale-coupled LES for WRA (Storey & Rauffus, GE Vernova - TORQUE 2024)
Published validation of mesoscale-coupled LES across 24 wind farm sites, benchmarked against over 100 years of measurements — demonstrating step-change accuracy in wind speed, turbulence, and directional prediction compared to conventional methods.
Wind Resource Modelling of Entire Sites Using LES (GE Vernova, WindEurope 2023)
GE Vernova’s independent application of Whiffle’s LES across 14 diverse sites, validating wind speed, turbulence intensity, and directional accuracy — confirming LES is feasible and accurate for full-site wind resource assessment at commercial scale.
Whiffle Atlas validation on 108 sites (RWE, GE, Orsted & public data)
Whiffle Atlas achieves a near-zero mean wind speed bias of –0.09 m/s across 108 sites — compared to –0.706 m/s for ERA5 — with tighter scatter and less systematic underestimation across all terrain types.
Going Beyond the Mean: Wind Farm Power Production Validation (WindEurope 2025)
Multi-year, time series-based validation of mesoscale-coupled LES across 10 operational wind farms, analysing 300,000+ ten-minute instances of real SCADA data. Results show internal wake losses varying between 20–40% depending on atmospheric conditions — with atmospheric stability having at least as much impact as wind direction. LES with real weather inputs accurately captures the full distribution of wake losses, not just the mean.
Cross-prediction of wind turbulence using Whiffle LES
Cross-prediction of wind speed and turbulence intensity validated across ~20 sites with multiple measurement locations. For a comparison with WaSP, stay tuned for our presentation with Ørsted at WindEurope Annual Event 2026
WINS50: Winds of the North Sea in 2050 (Whiffle, TU Delft & KNMI)
A four-year collaborative research project simulating present-day and hypothetical 2050 offshore wind scenarios across the entire North Sea using both HARMONIE-AROME and a newly developed North Sea-scale version of Whiffle’s LES model. Results show large areas of the North Sea affected by cluster wake effects in a 2050 scenario, with wind farm efficiency lower than today — and that increasing individual turbine rated power while keeping total installed capacity fixed can significantly boost production.
21GW Roadmap Wake Study commisioned by RVO, Netherlands Enterprise Agency
Whiffle’s LES was used to model the full Dutch 21 GW offshore wind roadmap, delivering annual energy production estimates and detailed insight into farm-to-farm wake and blockage effects.
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