Skip to content
This repository has been archived by the owner on Nov 1, 2020. It is now read-only.

Commit

Permalink
Implemented Alexandru's first round of feedback
Browse files Browse the repository at this point in the history
  • Loading branch information
jc0b committed Aug 20, 2020
1 parent 22b3981 commit fe7c84d
Show file tree
Hide file tree
Showing 2 changed files with 86 additions and 64 deletions.
15 changes: 15 additions & 0 deletions main.bib
Original file line number Diff line number Diff line change
Expand Up @@ -747,6 +747,21 @@ @article{Elsaid2016
volume = {04},
year = {2016}
}
@article{Masanet2020,
abstract = {Data centers represent the information backbone of an increasingly digitalized world. Demand for their services has been rising rapidly (1), and data-intensive technologies such as artificial intelligence, smart and connected energy systems, distributed manufacturing systems, and autonomous vehicles promise to increase demand further (2). Given that data centers are energy-intensive enterprises, estimated to account for around 1% of worldwide electricity use, these trends have clear implications for global energy demand and must be analyzed rigorously. Several oft-cited yet simplistic analyses claim that the energy used by the world's data centers has doubled over the past decade and that their energy use will triple or even quadruple within the next decade (3–5). Such estimates contribute to a conventional wisdom (5, 6) that as demand for data center services rises rapidly, so too must their global energy use. But such extrapolations based on recent service demand growth indicators overlook strong countervailing energy efficiency trends that have occurred in parallel (see the first figure). Here, we integrate new data from different sources that have emerged recently and suggest more modest growth in global data center energy use (see the second figure). This provides policy-makers and energy analysts a recalibrated understanding of global data center energy use, its drivers, and near-term efficiency potential.},
author = {Masanet, Eric and Shehabi, Arman and Lei, Nuoa and Smith, Sarah and Koomey, Jonathan},
doi = {10.1126/science.aba3758},
file = {:Volumes/GoogleDrive/My Drive/Thesis/Literature/masanet2020.pdf:pdf},
issn = {0036-8075},
journal = {Science},
month = {feb},
number = {6481},
pages = {984--986},
title = {{Recalibrating global data center energy-use estimates}},
url = {https://www.sciencemag.org/lookup/doi/10.1126/science.aba3758},
volume = {367},
year = {2020}
}



Expand Down
Loading

0 comments on commit fe7c84d

Please sign in to comment.