Uniformity Metric

Use this metric to evaluate your cooling efficiency in your aisles by measuring how evenly your temperature, humidity or dew point is distributed. This sets a standard for comparing future changes to the same location, or to compare multiple aisles.

What is the Uniformity Metric?

The Uniformity Metric is a way of classifying how evenly your temperature is distributed across the aisle. Ideally, you want to maintain a uniform temperature. Significant variation indicates issues - like gaps, holes, air leakage- that impact your efficiency.

The Uniformity Metric employs the following system attached to every Static Map.

Uniformity Rating Range Description
VERY GOOD 0 to 0.49 Excellent temperature uniformity
GOOD 0.5 to 0.99 Commendable uniformity with minor variations
FAIR 1.0 to 1.49 Acceptable uniformity with noticeable variations
NEEDS IMPROVEMENT ⥸1.5 Significant temperature variations, improvement needed

How it Works

Use the AUDIT-BUDDY system’s built-in QuickScan mode to take 1 minute scans at multiple locations. Then, use the AUDIT-MATE 2.0 software to generate the static heat map and uniformity metric.

  1. Use 1 AUDIT-BUDDY

Buy or rent or use Purkay Labs’ Service

2. Conduct QuickScan

Conduct QuickScan, which takes 1 minute scans at multiple location.

3. Generate Static Heat Map

Use AUDIT-MATE 2.0 to generate Static Heat Map with a Uniformity Metric immediately.

 What Do You Need to Generate the Uniformity Metric?

You will need:

Application: Good Versus Bad Uniformity

When you set up a data center, cold air is directed from CRAC or CRAH units to the server inlet. This air cools servers, and the resulting warm exhaust returns to the cooling unit. The aim is consistency or uniformity, ensuring the cold air maintains a consistent temperature as it reaches the server inlet.

If the air going to the server remains consistent, the temperature distribution across the aisle stays uniform, like in Figure 2. However, if the air changes from one height or rack to another, the temperature distribution becomes uneven, like in Figure 3.

Figure 2: Even Temperature Distribution

Figure 3: Uneven Temperature Distribution

While creating a static temperature map is an initial step in assessing your environment, determining the tolerable degree of variation can be challenging. This is where the uniformity metric comes into play.

What are the Benefits of the Uniformity Metric?

  • Assess the effectiveness of your temperature control strategies.

  • Identify potential issues like leaks, gaps, or holes.

  • Get a baseline of your current environment (to compare later)

  • Numbers based, not imagination based.