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Tools, Standards, and Resources

AI Data Center Energy Performance Framework

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 Tools

In this framework, “tools” is a broad term, encompassing:

  • Design Tools: Software or resources aiding AI data center design
  • Operational Tools: Tools ensuring smooth running of systems, including IT equipment management and thermal management
  • Maintenance Tools: Equipment used for long-term upkeep of data centers
  • Integration Tools: Resources such as power management tools, siting integration resources, and land management tools

This section does not provide a comprehensive list of available tools. Rather, these tools are discussed and incorporated throughout the framework as appropriate within the context of the relevant project phase.

It should be noted that many tools used by the data center industry are proprietary, limiting their availability for public frameworks or guidance. This framework therefore largely focuses on publicly available resources and industry publications.

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Standards

There are existing standards regulating the design and energy efficiency of data centers that may be helpful to AI data center developers, such as:

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Other Resources

Reports and Design Guidance

Economic Planning Resources

Considering resources beyond technical tools, such as policy and economic factors affecting AI data centers, can be instrumental in the planning processes associated with data center development. Here are some resources and resource collections that may be helpful:

Currently, many states are enacting laws to address the energy and environmental impacts of data centers, with many states introducing legislation to regulate or incentivize development. Some key legislative actions from various U.S. states in 2025 include:

Data center development involves many challenges related to policy and market forces. For example, policies may change mid-project, leading to financial instability or cancellation.

In Ohio, for example, recent utility rate changes drove down queued data center projects from 30 GW to 13 GW.1 Overstatement of power requirements and energy needs can lead to stranded assets for both energy providers and data centers, highlighting the importance of accurate prediction tools.

Historical examples of rapid development challenges and failures, such as the mass exodus during the dot-com boom, underscore the necessity of thoughtful planning and robust frameworks. Efficient data center operation not only benefits the present but also ensures longevity of the industry and surrounding economies.


1 https://www.datacenterdynamics.com/en/news/aep-ohio-slashes-data-center-pipeline-by-more-than-half-report/

Author Acknowledgement

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