Title:
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Reducing uncertainty in environmental assessments of internet services
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The continuing growth of internet services such as streaming
videos, browsing websites or generally exchanging data has drawn
the attention of academic researchers, industry, and the general
public towards their environmental impact. Past assessments of
this impact come to differing results due to the complexity of information
and communication technology systems, including networks,
data centres and user devices. Assuming a life-cycle perspective,
this thesis reduces some of this uncertainty and thus
works towards more robust assessments and ultimately decision-making.
The first part of this thesis consists of modelling the energy
consumption of routers and fibre-optical equipment that comprise
the networks. As a result, new estimates of the energy intensity
of networks are made, that can be used to derive the energy consumption
of data transfer through the network.
In t he second part, the energy consumption by data centres and
use devices is included , which combined give a comprehensive assessment
of the system end-to-end. One chapter is dedicated to the
detailed analysis of the varying environmental footprint between
different user devices and types of media. A separate chapter then
develops and show-cases a more integrated assessment for an complete
digital service over one year and demonstrates several new
approaches to reducing uncertainty around use r device and access
network energy consumption.
The methods and models presented in this thesis are applicable
to a wide range of services and contribute to more robust
estimates of the energy consumption. The aim is to enable sustainability
practitioners to carry out environmental assessments of
digital services.
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