Vertiv Uses Machine Learning to Automate Data Center Cooling

New software feature meant to eliminate manual fine-tuning of cooling system elements

Data Center Knowledge

January 30, 2017

1 Min Read
Cooling pumps at the French telco Illiad’s data center outside of Paris. The data center relies primarily on mechanical cooling but does use free cooling about 30 percent of the year (Photo: Yevgeniy Sverdlik)

Vertiv, formerly Emerson Network Power, has introduced a software system that according to the company uses machine learning to automate management of data center cooling systems to improve efficiency.

Data center facilities managers normally have to manage each individual component of the cooling system (i.e. chillers, air handlers, economizers, etc.) to fine-tune the overall system. Change the setting on one, and the entire system gets affected.

The idea with iCOM Autotuning, Vertiv’s new software feature, is to use machine learning techniques to control all of the elements automatically, the company said in a statement.

In a direct-expansion data center cooling system, that means compressors, fans, and condensers are harmonized to eliminate short cycling, which is when cool air returns into the cooling system without going through IT hardware. In chilled-water systems, the autotuning feature avoids rapid fluctuations in valve positions to balance fan speeds, water temperature, and flow rates.

The feature is part of Vertiv’s Liebert iCOM-S thermal system control. It is available for select Liebert cooling systems installed in North America, the company said.

While running in production to improve cloud services by the likes of Google and Facebook, machine learning algorithms are seldom applied to data center management. The rare examples of companies that have done it include Google, which uses machine learning to improve data center infrastructure efficiency; Coolan, a startup that used machine learning to optimize the cost of data center hardware acquired by Salesforce last year; and Romonet, whose software analyzes the cost of customers’ data center assets and traces the impact of infrastructure decisions on their bottom line.

Read more about:

Data Center Knowledge

About the Author(s)

Data Center Knowledge

Data Center Knowledge, a sister site to ITPro Today, is a leading online source of daily news and analysis about the data center industry. Areas of coverage include power and cooling technology, processor and server architecture, networks, storage, the colocation industry, data center company stocks, cloud, the modern hyper-scale data center space, edge computing, infrastructure for machine learning, and virtual and augmented reality. Each month, hundreds of thousands of data center professionals (C-level, business, IT and facilities decision-makers) turn to DCK to help them develop data center strategies and/or design, build and manage world-class data centers. These buyers and decision-makers rely on DCK as a trusted source of breaking news and expertise on these specialized facilities.

Sign up for the ITPro Today newsletter
Stay on top of the IT universe with commentary, news analysis, how-to's, and tips delivered to your inbox daily.

You May Also Like