And while the process of cooling optimization is typically a manual and iterative process, utilizing solutions such as infrared (IR) thermometers or environmental monitoring will ensure IT intake temperatures do not exceed their recommended or allowable thresholds. Some monitoring solutions can even provide advisement on specific optimization steps that can be taken, but we’ll jump into that later.

MATCHING COOLING CAPACITY WITH IT LOAD

Airflow management alone doesn’t save a facility manager money on cooling energy costs; instead, it improves IT equipment intake air temperatures and creates the conditions where changes to the cooling infrastructure are possible. Reason being, if the appropriate airflow management solutions have been correctly implemented at the raised floor, rack, and row levels, there should now be an excess of conditioned supply air in the cold aisles, and all IT equipment intake air temperatures will be excessively low. This is because exhaust air is no longer being mixed with conditioned air and vice versa. The next step is to match the flow rate of conditioned air as closely as possible with the demand flow rate required by the IT equipment. This is done by lowering fan speeds, raising cooling unit temperature set points, or turning cooling units off altogether. This is often an iterative process of making adjustments to the controls, allowing the system to equalize before making additional adjustments if needed. Since data centers are dynamic environments, this will be an ongoing process — not a one-time event. Each time additional airflow management improvements are implemented or significant IT equipment changes occur offers an opportunity to optimize the cooling infrastructure.

ROOM-LEVEL AIRFLOW MANAGEMENT (COOLING OPTIMIZATION) BEST PRACTICES

The typical steps that need to be taken to properly match the cooling capacity of your data center with the IT load (i.e., optimize the cooling infrastructure) are:

• Reduce fan speeds for units with variable frequency drives (VFDs) as much as possible without exceeding the maximum allowable IT equipment intake air temperature.
   
• Raise cooling unit temperature set points as high as possible without exceeding the maximum allowable IT equipment intake air temperature.
   
• Expand the allowable relative humidity (RH) band to prevent cooling units from “fighting” with each other (wasting energy because one unit is trying to dehumidify while another is trying to humidify).
   
• Turn off excess cooling if cooling units don’t have VFDs. If they are equipped with VFDs, energy savings are greater with 10 cooling units running at 50% fan speed than five cooling units running at 100% fan speed.

After any significant airflow management improvement or IT load installation/removal, there’s an opportunity to evaluate these room level controls to ensure efficient operation and sufficient redundant capacity.

UTILIZING MONITORING SOLUTIONS TO INFORM OPTIMIZATION DECISIONS

A wise man by the name of Ken Brill once said that when it comes to data center cooling, it’s as simple as ‘power in, heat out always.’ In other words, every kilowatt of power consumed in a computer room becomes a kilowatt of heat that needs to be removed from the computer room and, ultimately, the data center building. This includes all power conversion and distribution losses as well as every kilowatt of electricity consumed by the IT equipment. 

While data center cooling is a science in its own right and can be quite complex, this concept reminds us it can be boiled down to what goes in (in terms of power) must come out (in terms of heat). Therefore, it’s important to monitor the power being demanded by IT equipment (the IT load) to properly match it with the cooling being supplied by cooling units (cooling capacity). Utilizing solutions that can monitor both the power and cooling infrastructure will help in creating this balance.

Secondly, monitoring the thermal performance of a computer room is essential in the cooling optimization process. When making adjustments to the cooling infrastructure, closely monitor the IT equipment intake temperatures to make sure they do not exceed their recommended or allowable limits, as outlined by ASHRAE and/or the manufacturer. While this can be done with an IR thermometer or camera, it may be time-consuming as it can only be done on a per cabinet or aisle basis. One big cautionary remark about using an IR thermometer or camera is that these tools measure surface temperature and not air temperature. If there’s a highly reflective surface, you may experience some incorrect readings due to the reflections. While the use of IR tools can provide an indication of temperature issues, they are not monitoring the temperature of the airflow itself. 

Due to these circumstances, the easiest way to do this at the full room level is to utilize a monitoring solution with sensors placed at the tops and bottoms of all cabinets. This will provide a site-wide view of the data center’s thermal performance. Moreover, while being able to monitor temperatures site-wide is the bare bones of what’s needed, some monitoring solutions have taken this a step further with 3-D visualizations that will display a digital twin of the data center and its real-time thermal performance.

OPTIMIZATION WITH AI AND MACHINE LEARNING ALGORITHMS

Artificial intelligence (AI) and machine learning are buzzwords that have served as a panacea to many data center- and IT-related issues. While they may come up short on many of their perceived or marketed promises, airflow management and cooling optimization is where this technology really has a chance to deliver. 

AI can help visualize airflow management improvements at the raised floor, rack, and row levels; analyze data being collected from sensors; and provide advisement on cooling optimization decisions at the room level. There are solutions available that have pioneered this use case for AI and machine learning that couple the monitoring aspect with cooling optimization in the form of a virtual cooling advisor. These solutions may help simplify the cooling optimization process.

CONCLUSION

Room level airflow management is not actually airflow management in the literal sense but instead cooling optimization. Nonetheless, room-level airflow management is a necessary step and the only way to realize energy savings from airflow management improvements made at the raised floor, rack, and row levels. Don’t forget that every solution that has been implemented up until the room level is an expense. It’s only when one checks in at the room level and makes cooling infrastructure changes that the benefits may be reaped in the form of cooling energy savings, improved cooling capacity, improved IT equipment reliability, and deferred capital expenditures. Efficiency cannot be purchased; it must be managed. 

Cooling optimization is an iterative and ongoing process, boiling down to matching cooling capacity with the IT load of the computer room. Although this will be a manual process in most cases, utilizing monitoring solutions that give you a look at the power, cooling, and thermal performance of the data center will help guide optimization decisions and, in some cases, advise on specific steps that can be taken.