DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Data center growth in the United States: Decoupling the demand for services from electricity use

Abstract

Data centers are energy intensive buildings that have grown in size and number to meet the increasing demands of a digital economy. This paper presents a bottom-up model to estimate data center electricity demand in the United States over a 20 year period and examines observed and projected electricity use trends in the context of changing data center operations. Results indicate a rapidly increasing electricity demand at the turn of the century that has significantly subsided to a nearly steady annual electricity use of about 70 billion kWh in recent years. While data center workloads continue to grow exponentially, comparable increases in electricity demand have been avoided through the adoption of key energy efficiency measures and a shift towards large cloud-based service providers. Alternative projections from the model illustrate the wide range in potential electricity that could be consumed to support data centers, with the US data center workload demand estimated for 2020 requiring a total electricity use that varies by about 135 billion kWh, depending on the adoption rate of efficiency measures during this decade. While recent improvements in data center energy efficiency have been a success, the growth of data center electricity use beyond 2020 is uncertain, asmore » modeled trends indicate that the efficiency measures of the past may not be enough for the data center workloads of the future. The results show that successful stabilization of data center electricity will require new innovations in data center efficiency to further decouple electricity demand from the ever-growing demand for data center services.« less

Authors:
ORCiD logo [1]; ORCiD logo [1];  [2]; ORCiD logo [3]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Division
  2. Northwestern Univ., Evanston, IL (United States). McCormick School of Engineering
  3. Koomey Analytics, Burlingame, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1494097
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Environmental Research Letters
Additional Journal Information:
Journal Volume: 13; Journal Issue: 12; Journal ID: ISSN 1748-9326
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 29 ENERGY PLANNING, POLICY, AND ECONOMY

Citation Formats

Shehabi, Arman, Smith, Sarah J., Masanet, Eric, and Koomey, Jonathan. Data center growth in the United States: Decoupling the demand for services from electricity use. United States: N. p., 2018. Web. doi:10.1088/1748-9326/aaec9c.
Shehabi, Arman, Smith, Sarah J., Masanet, Eric, & Koomey, Jonathan. Data center growth in the United States: Decoupling the demand for services from electricity use. United States. https://doi.org/10.1088/1748-9326/aaec9c
Shehabi, Arman, Smith, Sarah J., Masanet, Eric, and Koomey, Jonathan. Tue . "Data center growth in the United States: Decoupling the demand for services from electricity use". United States. https://doi.org/10.1088/1748-9326/aaec9c. https://www.osti.gov/servlets/purl/1494097.
@article{osti_1494097,
title = {Data center growth in the United States: Decoupling the demand for services from electricity use},
author = {Shehabi, Arman and Smith, Sarah J. and Masanet, Eric and Koomey, Jonathan},
abstractNote = {Data centers are energy intensive buildings that have grown in size and number to meet the increasing demands of a digital economy. This paper presents a bottom-up model to estimate data center electricity demand in the United States over a 20 year period and examines observed and projected electricity use trends in the context of changing data center operations. Results indicate a rapidly increasing electricity demand at the turn of the century that has significantly subsided to a nearly steady annual electricity use of about 70 billion kWh in recent years. While data center workloads continue to grow exponentially, comparable increases in electricity demand have been avoided through the adoption of key energy efficiency measures and a shift towards large cloud-based service providers. Alternative projections from the model illustrate the wide range in potential electricity that could be consumed to support data centers, with the US data center workload demand estimated for 2020 requiring a total electricity use that varies by about 135 billion kWh, depending on the adoption rate of efficiency measures during this decade. While recent improvements in data center energy efficiency have been a success, the growth of data center electricity use beyond 2020 is uncertain, as modeled trends indicate that the efficiency measures of the past may not be enough for the data center workloads of the future. The results show that successful stabilization of data center electricity will require new innovations in data center efficiency to further decouple electricity demand from the ever-growing demand for data center services.},
doi = {10.1088/1748-9326/aaec9c},
journal = {Environmental Research Letters},
number = 12,
volume = 13,
place = {United States},
year = {Tue Dec 18 00:00:00 EST 2018},
month = {Tue Dec 18 00:00:00 EST 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 44 works
Citation information provided by
Web of Science

Figures / Tables:

Table 1 Table 1: Modeled 2010 historic US data center characteristics and projected 2020 characteristics under three different efficiency scenarios.

Save / Share:

Works referenced in this record:

How to stop data centres from gobbling up the world’s electricity
journal, September 2018


Worldwide electricity used in data centers
journal, July 2008


Estimating the Energy Use and Efficiency Potential of U.S. Data Centers
journal, August 2011


Greening multi-tenant data center demand response
journal, September 2015


The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Second edition
journal, July 2013


Trends in worldwide ICT electricity consumption from 2007 to 2012
journal, September 2014


A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution
journal, March 2018


On Global Electricity Usage of Communication Technology: Trends to 2030
journal, April 2015


Data network equipment energy use and savings potential in buildings
journal, September 2011


Implications of Historical Trends in the Electrical Efficiency of Computing
journal, March 2011

  • Koomey, Jonathan; Berard, Stephen; Sanchez, Marla
  • IEEE Annals of the History of Computing, Vol. 33, Issue 3
  • DOI: 10.1109/MAHC.2010.28

A Comprehensive Reasoning Framework for Hardware Refresh in Data Centers
journal, October 2018


The Energy and Carbon Footprint of the Global ICT and E&M Sectors 2010–2015
journal, August 2018


Greening Multi-Tenant Data Center Demand Response
journal, September 2015

  • Chen, Niangjun; Ren, Xiaoqi; Ren, Shaolei
  • ACM SIGMETRICS Performance Evaluation Review, Vol. 43, Issue 2
  • DOI: 10.1145/2825236.2825252

Greening Multi-Tenant Data Center Demand Response
preprint, January 2015


Works referencing / citing this record:

Energy-Aware Online Non-Clairvoyant Scheduling Using Speed Scaling with Arbitrary Power Function
journal, April 2019

  • Singh, Pawan; Khan, Baseem; Vidyarthi, Ankit
  • Applied Sciences, Vol. 9, Issue 7
  • DOI: 10.3390/app9071467

Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.