Interview on ‘Nieuwe Feiten’, VRT Radio 1 (Belgium) discussing “Winddiefstal” or Wind theft

“Winddiefstal” or Wind theft, may sound like a tabloid headline, but it’s a measurable physical effect, and a growing challenge in offshore wind planning. In this short segment from Nieuwe Feiten, Remco Verzijlbergh explains how large wind farms can cast long “wind shadows,” reducing wind speeds for turbines downstream, even tens of kilometers away. As […]
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 Ørsted Enter Joint Development Agreement to Enhance Onshore Wind Flow Modelling

Whiffle is proud to announce a new Joint Development Agreement (JDA) with Ørsted, a global leader in renewable energy. This collaboration aims to enhance the accuracy of onshore wind flow modeling by tackling the challenges posed by wind behavior in complex sites. Wind Modelling in Complex Terrain Forested and mountainous regions are among the most […]
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
Whiffle joins the ‘TotalEnergies On’ Program to Accelerate the Energy Transition

Whiffle is teaming up with TotalEnergies by joining their start-up accelerator program dedicated to the electricity business: TotalEnergies On! This program represents a tremendous opportunity for all the startups selected, offering entrepreneurial support in collaboration with the HEC business school, preferential access to TotalEnergies’ teams, experts, infrastructure and customers, a space for trialing their products and/or services […]
Renewable energy transition: examining the impacts of wind energy through simulation

This blog article featured in the AWS HPC Blog, was contributed by Remco Verzijlbergh, co-founder and CEO, Peter Baas, R&D Specialist at Whiffle, and Ilan Gleiser Principal ML Specialist, Milo Oostergo, Principal Startup SA, and Ross Pivovar Senior SA, Simulations at AWS. To read the full article, visit: https://aws.amazon.com/blogs/hpc/renewable-energy-transition-examining-the-impacts-of-wind-energy-through-simulation/.
Whiffle Announces Strategic Management Reorganization to Accelerate Innovation and Market Expansion

Whiffle, is pleased to announce a strategic reorganization in its leadership team, reinforcing its commitment to technological advancement and market expansion. Co-founder Harm Jonker, who has served as CEO since Whiffle’s inception, will devote more time to innovation as the newly appointed Chief Innovation Officer (CINO). Remco Verzijlbergh, co-founder and until now Whiffle’s CTO, is appointed […]