Market TrendsAdvancements in Edge, machine learning and AI will increasingly impact data center efficiency. Not to mention, data growth and the increasing Internet of Things (IoT) means that facility managers have more than one data center to operate and manage. Which is why, it is more important than ever to optimize data center cooling.
Luckily, there is a way to address your unmet data center cooling needs—and it doesn’t require decades-old data cooling processes.
- Complete data center thermal visibility, real-time, to address cooling needs
- Centralized way to navigate all the moving parts in your data center and bring together information to optimize data center processes for proper cooling
- A cooling strategy that covers multiple types of datacenter environments
- Need to control airflow within data centers to maximize density and technology changes
- Maintain a reliable data center environment
- Need to continue to increase efficiency to lower OPEX and maximize power
Why data center thermal optimization?Amidst new cooling technologies available on the market—from evaporative cooling to air cooling, liquid cooling, hot/cold aisle containment, and more—thousands of existing data centers today still use chilled water plants to cool their data centers.
Data center thermal optimization is a comprehensive package of facility improvement measures—from the cooling tower to the rack—which optimizes primary/secondary cooling cycles and white space. It applies intelligence about the density of IT workloads to regulate the cooling within a data center.
- Actionable insights for maintenance and operations
- Average 2-3 year simple payback
- Securing thermal conditions through continuous monitoring and control on rack-level
By optimizing chilled water cooling and white space cooling together, a data center can achieve more savings than using one or the other system individually. Pumping a lot less energy in the chilled water plant can allow fan speed to be reduced in order to match air production with IT load.
In chilled water environments, the chiller plant production and air handling volume are brought down to match the IT load. Providing the right amount of chilled water and airflow provides the ability to meet set points across both systems to meet energy requirements.
To improve the way cooling is distributed throughout data center "white space," Siemens combines chiller plant optimization with white space cooling optimization—using artificial intelligence to dynamically cool the data center.
Want to learn more? Listen in on the on-demand webinar, “Data Center Thermal Optimization: From Tower to Rack” below.