Data Center Power Distribution

Benchmarking and Monitoring Tools to Optimize Power Usage Efficiency (PUE)


As the demand for digital services continues to skyrocket, data centers have become a critical component of modern society. These facilities house an enormous amount of computing hardware that consumes vast amounts of electricity, which makes power usage efficiency (PUE) a crucial metric for companies seeking to lower their environmental impact and reduce costs.

In this blog post, we'll dive into benchmarking and monitoring tools that can help data center operators optimize PUE.

What is PUE?

Power usage effectiveness (PUE) is a metric used in the data center industry to measure energy efficiency. It's calculated by dividing the total amount of power consumed by a data center facility by the amount of power consumed by its IT equipment.

A perfect PUE score would be 1.0, which means all power delivered to the facility is being utilized exclusively by IT equipment. However, in reality, most data centers have a PUE score above 1 due to inefficiencies in cooling systems or other factors.

Why is PUE important?

Optimizing PUE has various benefits such as reducing operating costs, increasing reliability and availability, improving system performance and sustainability. Achieving high energy efficiency helps minimize greenhouse gas emissions from electricity generation and reduces carbon footprint while mitigating climate change risks.

By implementing benchmarking and monitoring tools that track real-time PUE measurements, organizations can identify areas where they can improve energy efficiency within their facility.

Benchmarking Tools

Benchmarking tools provide comparative metrics on how one's data center stacks up against others globally or locally. By providing insights on how peer or ideal facilities perform at scale with similar resources as theirs; this information allows for better decision-making and planning towards energy management optimization strategies.

The Uptime Institute Data Center Performance Index

The Uptime Institute Data Center Performance Index (DCPI) measures overall infrastructure performance across various sites worldwide. This tool is designed to help data center operators identify areas where they can improve efficiency and reduce costs while maintaining high levels of reliability.

The ENERGY STAR Data Center Infrastructure Rating

The ENERGY STAR Data Center Infrastructure Rating uses a 100-point scale to measure energy efficiency in data centers. This rating system provides a benchmark for comparing the energy performance of different facilities and helps organizations prioritize energy-saving opportunities accordingly.

The European Code of Conduct for Data Centre Energy Efficiency

The European Code of Conduct for Data Centre Energy Efficiency (CoC) provides a framework for best practices in energy management, outlining ways that data center operators can reduce their environmental impact and enhance business performance. CoC focuses on eliminating inefficiencies by collecting data and analyzing it, identifying key areas where changes need to be made.

Monitoring Tools

Monitoring tools provide real-time insights into how much power is being consumed by IT equipment and how much is being used to support cooling systems. By providing granular data on PUE across various components, these tools enable facility teams to identify areas where energy efficiency can be improved in real-time.

Power Usage Effectiveness (PUE) Calculator

The PUE calculator is an online tool that allows users to calculate their facility's PUE score. It requires inputting information such as the total amount of electricity used by the facility over a given period, including IT equipment and non-IT infrastructure such as cooling
systems, lighting, and backup generators.

Environmental Sensor Management System (ESMS)

The Environmental Sensor Management System (ESMS) monitors temperature and humidity within a data center environment. Using this highly accurate real-time monitoring system enables early identification of issues that can cause significant problems with server hardware, airflow management, or cooling devices before they become critical.

Automated System Health Check Tool

An automated system health check tool routinely tracks performance metrics related to power usage efficiency as well as server utilization rates, operating temperatures, etc., ensuring that data center teams can focus on improving the facility's energy efficiency proactively.


As data centers continue to grow in importance, optimizing PUE is becoming increasingly essential. By using benchmarking and monitoring tools for PUE, organizations can identify areas where they can improve energy efficiency within their facility, reduce costs and enhance sustainability. The above-listed tools are just a few examples of what's available today and there are always new tools emerging. By taking advantage of these resources, companies can make informed decisions about how best to manage their energy usage while reducing their environmental impact at the same time. 

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