As featured on RECHARGE: “How Nvidia gaming chips are helping the wind industry level up”

NVIDIA chips typically used by gamers are finding a new life helping the wind industry level up, with uses for developers making multi-billion-dollar investment decisions and power traders, says industry pioneer Bob Meijer, chief commercial officer of weather modelling company Whiffle.Computing firepower that Nvidia graphics chips bring weather modelling firms has huge implications for wind […]

Tech scale-ups Vind AI and Whiffle partner to redefine early-stage wind project development

Partnership integrates Whiffle’s high-resolution atmospheric modelling into Vind AI’s digital platform for wind project assessment and design, exemplifying how advanced data and automation can now support developers to speed up the transition to a renewable energy system Oslo, Norway / Delft, Netherlands, December 9, 2025 — Vind AI and Whiffle today announce a partnership that […]

Contributing to the Ongoing Discussion Around ‘Wind Theft’ in Offshore Wind (via BBC Future)

BBC Future recently covered the growing issue of wake interactions between neighbouring wind farms  – often referred to as “wind theft.” As offshore development becomes denser, the impact of inter-farm wake losses is gaining attention, raising questions around how to quantify, mitigate, and manage these effects. Our very own Peter Baas contributed to the article, drawing on […]

New in Whiffle Wind: Long-term LES statistics for onshore wind resource and energy yield modelling

Accurate, long-term wind data is critical for every stage of wind farm development. That’s why we’ve introduced a new Statistics module in Whiffle Wind, delivering long-term representative Wind Resource Grids (WRGs), turbulence statistics, and energy production estimates. Whether you’re conducting a feasibility study, running virtual met mast campaigns, or modelling wake-induced losses, Whiffle Wind Statistics […]

Landmark RWE-Whiffle study validates 170 years of LES data, confirming reduced uncertainty in wind speed modelling with Whiffle’s meso and micro-scale approach

Whiffle, in collaboration with RWE — a global leader in wind energy production — has completed an extensive validation of its meso-scale model and micro-scale Large Eddy Simulation (LES), demonstrating significant reductions in wind speed bias and uncertainty. This landmark analysis benchmarks the Whiffle meso-scale model and LES against a dataset spanning 170 sites and […]

Whiffle Forecast: Advanced wind and solar power forecasting with LES technology 

The standard approach in power forecasting is to rely solely on large-scale weather models, which provide synoptic and mesoscale insights but lack the resolution needed to capture small-scale meteorological effects like turbulence, surface interactions, and cloud dynamics. These missing details contribute to forecast deviations, increased risks for weather dependent renewable energy and higher imbalance costs.  Fig […]

Whiffle and RVO Collaborate on Offshore Wind Wake Study for the Dutch North Sea Scenario

Whiffle is proud to be collaborating with the Netherlands Enterprise Agency (RVO) on a government-commissioned study to explore the impact of large-scale wake effects on future offshore wind energy projects in the Dutch North Sea. This study takes the wind farms of the 21 GW Roadmap into account. Developments outside the Dutch North Sea are included as well if they influence the energy yield of Dutch wind farms