Planning Smarter Facility Layouts
Effective data centre design begins long before construction starts.
Using detailed 3D models, operators can create virtual representations of all aspects of the data centre site, including the data centre, subsequent data halls, Mechanical, Electrical, and Plumbing (MEP) plant rooms, pod areas and supporting power infrastructure, enabling teams to rapidly assess viable site and design layouts and validate design decisions before they are implemented in the physical environment.
This approach helps optimise the overall site or campus design, even down to a granular level such as rack placement, containment strategies, equipment positioning, space planning and the like, while also ensuring there is appropriate access for maintenance and space planned for future upgrades. It can also improve collaboration between design, construction and operations teams by allowing for 'live' coordination of the design, improving both design and construction processes, whilst providing a shared view of how systems will interact across the facility and how the facility will look, feel and be realised prior to delivery.
By identifying potential issues at the feasibility, conceptual design, and detailed design stages, operators can gain a greater understanding of cost, programme, and risk, enabling them to reduce project risk, minimise costly rework, and efficiently plan the project to create facilities that are built better and faster, and are better prepared for future growth.
Simulating Cooling Performance in Hybrid Environments
As customer requirements evolve, data centres must accommodate a broader mix of workloads than ever before, from traditional cloud applications to high-density AI deployments with different power and cooling requirements. While many enterprise and cloud applications continue to rely on air-cooled infrastructure, AI workloads powered by high-density GPU clusters require liquid cooling, or a mixture of liquid and air cooling technologies, that are better suited to managing higher thermal loads.
Introducing multiple cooling technologies creates new layers of complexity.
By 3D modelling data centres and utilising Computational Flow Design (CFD) with thermal and airflow simulations, operators can visualise how air moves through the data hall at stages within the design, to assess how to enable peak performance for heating distribution and airflow when utilising liquid or mixed cooling systems under different operating conditions.
This helps identify potential hotspots, validate cooling strategies and optimise infrastructure deployment before equipment is installed. It also provides valuable insight into how cooling infrastructure may need to evolve as workload requirements change over time.