An example of how CFD analysis can highlight inefficiencies in data center airflow design. (Photo: Panduit)
We’ve launched a series of special reports on the new balance between cloud and data centers. This week, we’ll discuss how efficiency, reliability, and the future of digital infrastructure impact your market strategies, and how computational fluid dynamics (CFD) analysis can help you. predict what you’ll need in the near future and spot inefficiencies today. .
It’s an exciting time to be in the data center space. We continue to see growth around digital solutions as organizations work hard to modernize their business and technology solutions. Working with a good partner can make or break a transformation effort. For cloud providers, ensuring that you have a decentralized and diverse approach to a distributed market is essential.
So when balancing cloud, data center, and even edge operations, here are some essential services and partner-specific capabilities to look for:
Here is another important consideration:
Computational Computational Fluid Dynamics (CFD). In the past, you could do a CFD once in a while to make sure everything was working properly. Today, CFD takes data and analysis to a new level. Working with digital clones, data-driven solutions and even AI, CFD helps you predict what you’ll need in the near future as well as spot inefficiencies today. Working with CFD is a crucial part of designing a next-generation data center and cloud ecosystem.
CFD is a technique that produces quantitative predictions of the flow of fluids in a defined system based on the conservation laws governing fluid motion (conservation of mass, momentum, and energy). These predictions are made for a system where the physical geometry, the physical properties of a fluid, and the boundary and initial conditions of a flow field are well defined. Prediction focuses on a set of fluid variables, such as temperature, pressure, and velocity, describing fluid flow and heat transfer in the system. CFD complements experimental and theoretical fluid dynamics and is an effective research and design tool.
Some of the advantages of CFDs include:
- Generates temperatures, pressures and air velocities for any location in the system
- Useful in design optimization as changes and variations can be easily modeled and tested
- Model features can be easily toggled on and off to allow faster time to solve
- Inexpensive and quick compared to building and testing design mockups
In the case of CFD, what is the place of the partners? Panduit’s Professional Services team relies heavily on CFD modeling to assess IT installations and validate proposed designs. Panduit has found that using CFDs to predict the future state of the IT space before deploying proposed designs builds a level of trust with customers. It allows you to evaluate various options and select the best configuration with confidence before incurring the cost of deployment. When it is not possible to physically test or collect data, CFD analysis can be used to:
- Determine the optimal configuration of cooling equipment and layout of an IT space
- Identify areas of inefficiency, such as air leaks and clogs
- Identify airflow issues that are not visible, such as swirls in the distribution plenum and recirculation of hot air in and around cabinets
- Analyze what-if scenarios, such as increased heat load with deployment of additional IT equipment, deployment of additional cabinets, retrofitting of existing cabinets, or cooling unit failure
- Test the effectiveness of proposed thermal management solutions, such as aisle containment or vertical exhaust systems (VES)
- Demonstrate to customers the savings associated with the different options and predict the return on investment (ROI)
Download the full report, “Performance, Efficiency, and Sustainability: The New Cloud and Data Center Balance” courtesy of Panduit for an exclusive case study that examines how these components and recommendations play out in the real world.