Enabling Energy Efficient Data Centers in Smart Power Distribution Systems
The goal of this project was to improve energy efficiency and enable demand response for data centers in smart power distribution systems.
The project team has completed the project and submitted a draft final report. The project team successfully achieved 7.8 percent, 25 percent, and 25 percent reduction in energy costs through demand response, peak efficiency scheduling, and server low power runtime, respectively. Reducing net facility energy requirements by 48.1 percent.
This project is researching and testing technologies that improve data center energy efficiency at three different levels in a smart power distribution system. The technologies include increasing server energy efficiency, through coordinated deep sleep and dynamic voltage-frequency scaling (DVFS); data center workload balancing through phase and load balancing across multiple servers in a data center; and geographical workload balancing through phase/load balancing in a single or multiple power distribution network or feeder.
The technology being developed by this project is software-based which has the potential to lower data center processing energy usage and the costs associated with it. The recipient estimates that centers could save 35% a year.
If the three proposed techniques are implemented with 100% adoption, it is estimated that data center operators can save 1,000 GWh annually and reduce 365,863 metric tons of CO2 equivalent.