A New Predictive Approach to Energy Efficiency

The reality of the modern data center is that energy costs are continuing to rise. The need to control those costs requires data center managers to increase energy efficiency not only in the data center, but across the entire organizational estate.

For a majority of organizations, improving energy efficiency is about saving money. Therefore, managing power consumption and optimizing cooling are at the top of their to-do list.

Managing power consumption could involve deploying new energy-efficient equipment, but due to the expense, most companies put that off until it is time for a scheduled technology refresh. As a result, cooling is the single-largest data center operational and energy cost that can generate a return on investment when remediated. So, optimizing cooling is one of the first areas data center managers should look to in order to reduce costs and increase efficiency.

The increasing demand for energy efficiencies has led organizations to investigate or implement data center infrastructure management (DCIM) tools to automate the creation of documentation and the collection of energy and environmental data upon which optimization decisions can be made.

In this whitepaper from Panduit, we learn how to create a more proactive – and predictive – approach to creating better energy efficiency.

When looking at good ways to measure and optimize energy efficiency, it’s critical to look at the tools you’re using. As the white paper points out, the primary functions of energy and environmental management solutions are to:

Technologies like the Panduit SmartZone Solution can deliver comprehensive energy and physical infrastructure efficiency through a range of intelligent products, systems and services.

Download this whitepaper today to see how DCIM tools can help in your quest for greater energy efficiency by automating the creation of documentation and the collection of energy and environmental data.