New Report Explores ‘Key Steps’ for Optimizing Data Center Cooling Performance

Oct. 1, 2020
A new white paper, by Chatsworth Products (CPI) and Innovative Research Inc. (IRI), provides an overview of the key steps for optimizing the cooling performance of air-cooled data centers. This includes employing a Computational Fluid Dynamics (CFD) modeling software tool for analysis and exercising airflow management best practices that will help data center managers understand the what and how of optimizing airflow and, consequently, cooling performance.

As big data and the number of data centers continues to grow by leaps and bounds, data center cooling is being innovated regularly. In fact, it’s of utmost importance as tech leaders work to figure out how to optimize cooling performance.

Get the full report.

A new report from Chatsworth Products (CPI)  explores this very topic — specifically airflow management and what it calls the “key steps” for optimizing data center cooling performance.

“Optimizing cooling performance improves capacity utilization and may allow cooling system adjustments that reduce cooling costs and OPEX,” CPI explains in the new paper.

How does it work? According to the report, in  air-cooled data centers, the “key” is to understand how changes in the site impact cooling, and how airflow management can be used again — as a tool for optimization.

That said, there are limits on how much power or air can be delivered to a cabinet depending on each room design, CPI reminds the industry.

Today’s average cabinet density of 8-10 KW falls within the cooling capacity of typical airflow supplied to the cabinet, the report states.

As a result, CPI highlights it is probable many businesses have some unused or possibly wasted cooling capacity in their air-cooled data center — “especially if they do not practice a comprehensive airflow management strategy.”

The first step?  Identifying causes of cooling issues, including the shape and side of the room, raised floor and ceiling heights, location of cooling units, under-floor obstructions and much more.

Step two — sealing openings, and where airflow leakage is prevalent. The report shows images that illustrate how example sites can  improved by controlling airflow, with no need for additional cooling capacity or equipment.

The full report explores these topics and more steps  in detail:

  1. Identifying Causes of Cooling Issues
  2. Sealing Openings
  3. Balancing Airflow
  4. Adding Containment to Isolate Hot and Cold Air
  5. Adjusting the Cooling System

This white paper, by Chatsworth Products (CPI) and Innovative Research Inc. (IRI), provides an overview of the key steps for optimizing the cooling performance of air-cooled data centers. This includes employing a Computational Fluid Dynamics (CFD) modeling software tool for analysis and exercising airflow management best practices that will help data center managers understand the what and how of optimizing airflow and, consequently, cooling performance.

Download the full report, “Data Center Airflow Management Basics: Key Steps for Optimizing Cooling Performance,” which delves further into  the key aspects of data center cooling and airflow basics to meet your cooling goals. 

Sponsored Recommendations

Optimizing AI Infrastructure: The Critical Role of Liquid Cooling

In this executive brief, we discuss the growing need for liquid cooling in data centers due to the increasing power demands of AI and high-performance computing. Discover how ...

AI-Driven Data Centers: Revolutionizing Decarbonization Strategies

AI hype has put data centers in the spotlight, sparking concerns over energy use—but they’re also key to a greener future. With renewable power and cutting-edge cooling, data ...

Bending the Energy Curve: Decoupling Digitalization Trends from Data Center Energy Growth

After a decade of stability, data center energy consumption is now set to surge—but can we change the trajectory? Discover how small efficiency gains could cut energy growth by...

AI Reference Designs to Enable Adoption: A Collaboration Between Schneider Electric and NVIDIA

Traditional data center power, cooling, and racks aren’t sufficient for GPU-based servers arranged in high-density AI clusters...

Courtesy of AFL
Source: Courtesy of AFL

Scaling Up and Scaling Out in AI Data Centers

Manja Thessin, Enterprise Market Manager for AFL, highlights the importance of industry collaboration across factors such as AI hardware innovation and modular infrastructure ...

White Papers

Dcf Service Express Wp Cover 2021 12 17 9 16 03 232x300

2022 Data Center & Infrastructure Report

Dec. 20, 2021
Service Express reveals the results of their survey of 700 US IT professionals in the 2022 Data Center & Infrastructure Report. Key findings reveal the continued need for strengthening...