FRAW site index
Free Range Library index

Free Range Library

Anarchism & Action

Climate Change



Direct Action & Protest




Extreme Energy

Extr. Energy Climate

Extr. Energy Economics

Extr. Energy Nature

Extr. Energy Pollution

Extr. Energy Radiation

Food & Agriculture

FOSS & Linux


Land Rights

'Limits to Growth'




Peak Oil

Planning System







UK Government

UK Parliament



50 most recently added files index

Free Range Library indexes last updated 13:30, 07/11/2018

This form allows you to search the resource IDs and resource titles of the files in the Free Range Library. If a full match to a key cannot be found, a list of partial matches is returned.

library logo

The Free Range Virtual Library:

Estimating Energy Use and Greenhouse Gas Emissions of Internet Advertising

IMC², 14/02/2008

Free Range Library News & Events

10/04/18: Library database engine updated.

28/08/17: Library database engine updated (FRAW Library should be listed on searches more easily now).

10/08/17: Further changes to the website architecture completed to allowed continued expansion of the library.

22/12/16: 14 papers have been added to the Extreme Energy, Climate Change and UK Government sections.

22/11/16: 60 papers have been added to the Extreme Energy section.

back to previous page

Resource information:
Resource IDtaylorkoomey2008
Resource titleEstimating Energy Use and Greenhouse Gas Emissions of Internet Advertising
Author(s)Cody Taylor, Jonathan Koomey
Publication/ sourceIMC²
Date published14/02/2008
Summary text/ abstractWhile others have attempted to quantify the energy used in the United States by delivery of information services via the internet, these analyses have focused principally on end-use equipment (PCs and other devices that users interact with directly) or on servers. In this paper we attempt to calculate an average energy use per gigabyte of data transferred over the internet by quantifying the network energy and data traffic. This estimate includes energy used by network equipment up to either A) the user's terminal in business settings or B) the edge of the user's home. We take a similar approach here to the analysis in Koomey (2004), which explores network energy and data flows associated with wireless personal digital assistants. This paper calculates the best estimate of network electricity intensity possible using currently available data. It first illustrates the data and methodology used, then presents the results and discusses implications. Finally it describes conclusions and suggests topics for further research.
Library categoriesClimate Change, Energy, Neo-Luddism, Simplicity, Technology
Download file(s):

file iconEstimating Energy Use and Greenhouse Gas Emissions of Internet Advertising [67.2 kilobytes]

back to previous page

[an error occurred while processing this directive]