Energy

Powering the Transition: Optimizing Renewables with Fluid Intelligence
Maximizing the output of wind farms and turbomachinery requires understanding the complex wake interactions that occur at scale. Traditional CFD is computationally prohibitive when modeling an entire offshore wind farm, often leading to conservative layouts. BeyondMath scales physics, handling massive spatial domains with ease and allowing operators to optimize turbine placement and pitch in real-time.
The technology also plays a vital role in predictive maintenance and grid stability. By simulating the impact of extreme weather events on turbine blades and structural foundations, BeyondMath helps operators anticipate failures before they happen. This reduces downtime and significantly lowers the Levelized Cost of Energy (LCOE), making renewable projects more bankable and resilient.
Additionally, as we move toward a hydrogen-integrated grid, our model optimizes the fluid dynamics of carbon capture and hydrogen storage facilities. Modeling the injection of gases into porous underground reservoirs requires multi-physics mastery that BeyondMath’s foundational model is uniquely suited for, ensuring that our energy infrastructure is ready for the 2030 and 2050 net-zero targets.
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