AI & Data Centres Projects
We help the AI and data centre sector achieve cooling efficiency, energy savings, and operational resilience through advanced simulation. Alongside airflow and thermal modelling, we also develop cutting-edge machine learning algorithms that accelerate simulation time, enabling faster design iteration and smarter decision-making.
Applications include:
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Airflow distribution and containment optimisation
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Cooling system performance and energy efficiency
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Electronics and rack-level thermal management
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AI-enabled simulation acceleration and predictive modelling
Our expertise in CFD, energy and thermal modelling, and Multiphysics simulation helps energy providers optimise system performance, integrate renewables, and deliver sustainable, resilient solutions. We work across conventional, renewable, and emerging energy technologies, applying scientific precision to complex challenges in generation, distribution, and storage.
Applications include:
Power plant optimisation: modelling combustion, heat transfer, and flow systems to increase efficiency and reliability.
Renewable energy integration: simulating wind, solar, and thermal systems for grid stability and optimised performance.
Thermal management of energy systems: from turbines to energy storage, ensuring safety, compliance, and durability.
Carbon reduction strategies: applying advanced modelling to minimise emissions and support the transition to low-carbon energy and carbon capture technologies.
