ENERGY STAR Score for Data Centers
The ENERGY STAR Score for Data Centers applies to spaces specifically designed and equipped to meet the needs of high density computing equipment such as server racks, used for data storage and processing. The objective of the ENERGY STAR score is to provide a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and business activities at the property. To identify the aspects of building activity that are significant drivers of energy use and then normalize for those factors, a statistical analysis of the peer building population is performed. The result of this analysis is an equation that will predict the energy use of a property, based on its experienced business activities. The energy use prediction for a building is compared to its actual energy use to yield a 1 to 100 percentile ranking of performance, relative to the national population.
- Property Types. The ENERGY STAR score for data centers applies to spaces specifically designed and equipped to meet the needs of high density computing equipment such as server racks, used for data storage and processing. The score applies to individual buildings only and is not available for campuses.
- Reference Data. The analysis for data centers is based on survey data collected by EPA, in coordination with major industry associations, including Uptime Institute, Green Grid, 7x24 Exchange, and AFCOM.
- Adjustments for Business Activity. The analysis includes adjustments for Annual IT Energy.
- Release Date. The ENERGY STAR score for data centers was released in June 2010.
This document presents details on the development of the 1 - 100 ENERGY STAR score for data center properties. More information on the overall approach to develop ENERGY STAR scores is covered in our Technical Reference for the ENERGY STAR Score, available at www.energystar.gov/ENERGYSTARScore. The subsequent sections of this document offer specific details on the development of the ENERGY STAR score for data centers.