thermal analysis

Developing the Strategy

Performing a thermal analysis of a data center data floor includes collecting multiple data conditions within the floor area. The strategy should focus on identifying and measuring the key variables that can impact the effectiveness of the thermal management of the data center. In particular, the focus should be on the following:

• Thermographic scan of the racks
• Air Temperature: Measure and analyze the supply air temperature for any variations
• Velocity: Monitor the velocity of the supply air to ensure the correct amount of air is being delivered to the equipment.
• CFM: Measure the cubic feet per minute (CFM) being delivered to the data floor to ensure the correct airflow.
• Direction of Flow: Determine the direction of the air flow to ensure it is not causing any hot spots or air recirculation.
• Containment: Measure the effectiveness of any containment measures in place to reduce hot air recirculation.

We will inspect the installed perforated floor tiles, if applicable, by measuring the face velocity at the operational pressure to determine the cfm flow rate. We will look for areas of low pressure induced by the velocity of the surface air (Bernoulli effect) usually found at the bottom of the racks. We will check for low or no airflow at the top of the racks, or if hot isle air is migrating over the top of the racks to be used as cooling air. We will measure the air flows to determine how the air is moving and how it is impacting the data center environment. We will also assess the condition of the perforated floor tiles and determine if replacement is needed and if the existing grates are adequate for the system design.

Using thermal imaging cameras and specialized software, the temperature of components within the data center floor can be plotted on a graph. This data can be used to compare various data points and identify possible hot spots or areas of high temperature.

In addition to thermography, other data points such as air velocity, air temperature, air pressure, and air flow direction can be monitored and recorded with the help of sensors. This data can then be used to identify any potential hot spots or areas of high temperature.

Finally, the collected data can be compared to the set point of the cooling equipment, as well as the equipment performance and the desired temperature of the data center. Any discrepancies between the data collected and the set point can be analyzed, and corrective measures can be taken to ensure a proper thermal environment for the data center.

If further analysis is required, we can investigate the control system and review the trend logs to identify any variable load profiles that may be affecting cooling. We can look for critical failure points and recommend mitigation strategies, such as hot/cold aisle containment strategies.

Our team is dedicated to providing the highest standard of quality assurance, using the most advanced techniques, technologies and test equipment available. We conduct detailed surveys and inspections, analyze data and develop tailored solutions for each project, to identify potential issues and create the most cost-effective and reliable mitigation plans. Our goal is to provide a clear understanding of what is happening and put together an effective plan of action.

results

The implementation of these solutions has provided numerous benefits to businesses, including increased reliability and reduced operating costs, increased ability to generate new customers, and reduced potential exposure to liability resulting from loss of services. Additionally, businesses have seen improved customer service and satisfaction levels due to increased reliability and faster response times. This has allowed businesses to expand their customer base and increase their revenues. Improved reliability also means that businesses can operate with less downtime, making them more efficient and productive. Furthermore, this has enabled businesses to maintain their reputation and attract more customers.