By Nabil Taha, Vice President and General Manager of Data Center Solutions, Albireo Energy

Originally posted on Data Center POST

In the corporate push to develop and launch Environmental, Social, and Governance (ESG) initiatives, data centers are among those feeling the pressure to reduce their energy consumption and carbon footprint. This pressure is being propelled by multiple forces, including more aggressive government regulations at federal, state, and city levels. Particularly noteworthy are the new, stricter, nationwide requirements imposed by the U.S. Department of Energy (DOE) on January 1, 2023. These establish minimum efficiency performance standards and new test procedures for HVAC systems, which are critical to data center operations.

Data center stakeholders are also feeling mounting public pressure to reduce their carbon footprint, including from their own customers. In the recent “Get Out in Front” global research report and survey from Deloitte, 65% of respondents said they expect business leaders to take greater action to reduce carbon emissions and tackle air pollution, while 58% said they want entire organizations to change their sustainability practices. Major data center operators are taking note. Microsoft and Google have announced their commitment to net zero emissions by 2030, while Amazon Web Services plans to power its operations with 100% renewable energy by 2025.

Embracing ESG is about more than meeting government mandates or public demand. For data center owners and operators, improved energy efficiency translates into substantial savings and better operational performance that benefit the bottom line. Consider that:

Reducing this energy usage will have a tremendous impact on reducing operational costs as well.

Integrated Data Leads to Increased Energy Efficiencies

Increasing data center energy efficiency requires having greater real-time visibility into which systems are consuming – and wasting – the most energy. Data centers generate and collect massive amounts of data from building management systems that can illuminate those key opportunities for energy savings.

However, the deluge of data from numerous systems operating independently of one another can cloud visibility, making it hard to monitor and manage energy usage. It’s not uncommon for data center operators to log into 10 different building systems with even more touchpoints to collect and view operational data. Aggregating this data is time-consuming, and making sense of it can be next to impossible.

The solution to this data conundrum requires breaking down the data silos. To accomplish this, data center stakeholders are tasked with integrating disparate building systems, including HVAC, lighting controls, building access controls, security, fire and life safety systems, network infrastructure, and more. This integration, both within a single facility and across multiple locations, helps create a unified data pool. Once organized, the data become easier to access and leverage as actionable intelligence, enabling operators to better find and address hidden inefficiencies.

Real-time visibility is certainly critical to improving energy efficiencies, but so is the ability to easily access and view historical data. With analytics that reveal energy consumption over time, data center operators can:

  • compare current and past performance of building systems and multiple buildings within a geographic area
  • better evaluate energy usage
  • uncover savings opportunities
  • assess the effectiveness of energy-efficient improvements they’ve implemented.

Indeed, according to ENERGY STAR DataTrends research, building owners and managers who monitor benchmarking data consistently reduce building energy usage by an average of 2.4% per year.

Creating the Road Map to Reduced Energy Consumption

Fixing the data silos won’t happen overnight. It requires having the resources and expertise to implement a road map for the long-term deployment and proper utilization of energy data. In developing that road map, data center stakeholders can consider the following steps.

  1. Partner with an energy management expert who understands the complexities and technologies unique to data centers, and how best to integrate disparate data from various building systems.
  2. Create a customized energy management plan specific to each data center’s size, age, use, location, existing systems, and current energy consumption.
  3. Employ an incremental approach <span”>to implementing energy efficiency improvements, starting with upgrades that can be made to existing systems to minimize disruption, downtime, and costs.

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