Science-driven consulting and analytics for the renewable energy sector.
End-to-end wind energy consulting, from early-stage resource characterization through operational optimization. Our approach combines physics-based modeling with data-driven methods to minimize uncertainty and maximize energy capture.
State-of-the-art computational fluid dynamics for complex flow problems in atmospheric and marine environments. Extensive experience with large-eddy simulation (LES), Reynolds-averaged Navier–Stokes (RANS), and hybrid approaches.
Turning raw operational and environmental data into actionable intelligence. Whether you need to diagnose underperformance, forecast production, or build custom analytical tools, we bring domain expertise and modern data science.
We use the same tools developed and validated at national laboratories and adopted by leading OEMs — transparent, auditable, and bankable.
NREL's aero-hydro-servo-elastic simulator for wind turbine design and certification. The industry reference for turbine-level load analysis.
Mid-fidelity, multi-turbine wake modeling that captures dynamic wake meandering and turbine-turbine interaction at plant scale.
The Weather Research and Forecasting model — mesoscale atmospheric simulation for site-specific wind resource characterization and extreme event analysis.
ExaWind's GPU-accelerated LES solver for high-fidelity wind farm simulations with adaptive mesh refinement.
Versatile open-source CFD framework for atmospheric boundary layer modeling, terrain flows, and custom solver development.
Custom analytics pipelines, machine learning models, and decision-support tools built with modern data science frameworks.
We'd love to learn about your renewable energy challenge and explore how we can help.
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