A data center with cooling systems and servers in operation.

REAL-WORLD APPLICATION

Use AI to dynamically match cooling to IT load

A network of sensors, cooling unit controls, and an AI engine dynamically optimize your cooling management in the white space. This improves energy efficiency, reduces costs, helps you to comply to thermal SLAs and extends equipment life.

An illustration of a data center with servers and networking equipment.

Challenge

Computing activities generate a lot of heat emerging from all the servers in the white space; their overheating is a major risk for downtime, so the room needs constant cooling. This cooling consumes a lot of energy and therefore energy costs - and also poses the risk of overcooling, which negatively impacts server performance.

Solution

We can deploy a network of sensors, cooling unit controls, and an AI engine to dynamically match facility cooling to your real-time IT load. A dense sensor network measures temperatures at the air inlets of the IT equipment. The AI engine maintains a real-time model of airflow throughout the facility down to each IT rack. It determines the best combination of cooling units to ensure optimal temperature at each sensor and then sends commands to those units.

Improve operations over the long term

Siemens will coordinate on-site deployment and software setup; savings will be documented against baseline. Customers have access to the system user interface, delivering equipment and cooling performance insights via dashboards, influence maps, trends etc. as well as notification tab reports on alarms by criticality.When partnering with Siemens Financial Services, the energy savings from the upgrade can be predicted upfront, making the investment to be self-financed through the guaranteed energy savings. You can convert CAPEX into OPEX, making the technology transition cash flow neutral.

A server room in a data center with rows of servers and networking equipment.

Thermal reliability

Automatic hotspot reduction + visual guidelines for ongoing improvement
Increase reliability through intelligent maintenance across all racks
Ensure thermal SLAs are met

Energy savings

40% ongoing cooling energy savings averaged across 500+ installations
5 to 10% PUE improvement
< 3 years simple payback
Reduced wear extends equipment lifespan

More IT capacity

New capacity for IT expansions
Increase white space utilization

Relief staff

Autonomous solution with little human intervention
Allow personnel to focus on other high-value responsibilities

White space cooling optimized by AI

To optimize energy use, Greenergy Data Centers in Tallinn deployed Siemens’ AI-powered WSCO system. Using real-time sensors, it dynamically adjusts cooling and airflow in the server white space.

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