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AI AnalysisClassification & Focus Areas
"LES-based weather model providing wind and solar resource data and power forecasts — validated across 170+ sites — reducing wind speed uncertainty for renewable energy developers."
Domain Affinity
Technology Breakdown
Offerings Products & Services
Whiffle Forecast
Precision weather forecasting solution for wind and solar portfolios, utilizing Large Eddy Simulation and machine learning to deliver hyper-local power production forecasts. Designed to reduce imbalance costs and enhance trading decisions.
Whiffle Wind
An online application for site-specific wind resource and yield modelling using atmospheric Large Eddy Simulation. It delivers WRGs and time series data for onshore and offshore projects, integrating seamlessly into existing workflows.
Whiffle Atlas
Instant-access long-term mesoscale dataset providing 21 years of hourly time series at 2 km resolution. Validated against 300+ met masts, it offers near-zero bias for reliable early-stage site screening and long-term correction.
Case StudiesReferences & Success Stories
RWE adopts Whiffle Atlas, a new long-term mesoscale weather data service for MCP and site screening
RWE integrated Whiffle Atlas into its global wind resource assessment workflows, providing instant access to 20 years of precomputed hourly wind data at 2 km resolution. Validated across over 300 met masts, the service shows near-zero bias and tight error spread, allowing RWE to accelerate site screening and MCP processes with greater confidence.
GE Renewable Energy announces joint development agreement for weather technology with Whiffle
GE Renewable Energy entered a joint development agreement with Whiffle to apply ultra-fine atmospheric LES modeling for wind energy applications. The technology will optimize wind turbine siting and improve annual energy production for GE’s global customers. This collaboration highlights Whiffle’s disruptive LES capability in the wind industry.
Whiffle and RVO Collaborate on Offshore Wind Wake Study for the Dutch North Sea Scenario
Whiffle partnered with the Netherlands Enterprise Agency to study large-scale wake effects on future offshore wind farms in the Dutch North Sea, considering the 21 GW roadmap. Using Large Eddy Simulation, the study simulated wind farm clusters to inform deployment strategies. The project builds on the WINS50 initiative, which modeled 100 GW of installed capacity.
RWE put our models to the test
RWE benchmarked Whiffle Meso and LES models across 170 sites globally, finding 30% lower wind speed uncertainty compared to ERA5. Whiffle LES demonstrated the lowest AEP error after bias correction. The validation study confirms that Whiffle models deliver higher accuracy, enabling reduced financial uncertainty in wind energy projects.
Whiffle and Ørsted Enter Joint Development Agreement to Enhance Onshore Wind Flow Modelling
Whiffle and Ørsted are collaborating to improve wind flow modeling accuracy for onshore wind projects in complex, forested terrains. The joint development focuses on refining Whiffle’s LES model with detailed terrain and vegetation data to meet Ørsted’s operational needs. This partnership aims to set new standards for wind resource assessments, directly impacting site selection and energy yield predictions.