Enterprises should use the IoT to achieve their carbon emission reduction goals

07 October 2016
Report type: Strategy Report
Keywords: M2M, machine-to-machine, IoT, Internet of Things, Carbon Emissions, Emissions Trading Scheme, CO2, Corporate Social Responsibility
Companies: The Global e-Sustainability Initiative (GeSI), Vodafone, Accenture, The Carbon Trust
Number of Pages: 38

This report examines the potential for IoT applications that enable an enterprise to reduce its carbon emissions. There have been a number of publications from a wide range of sources investigating the ways in which Information and Communications Technology (ICT) in general, and mobile communications in particular, can assist in the overall reduction of carbon emissions. Recently Machina Research worked with the UK Carbon Trust to support a research and modelling project intended to identify the amount of CO2 already being retired (that is, not emitted) as a result of mobile communications technology, with a specific focus on the reductions enabled by IoT.

All of these previous reports have taken a top-down approach, concentrating on identifying the reduction of carbon emissions at a national or even global level, and have been somewhat polemical. They have been aimed, implicitly at least, at governments and policy-makers, and perhaps also at providing the suppliers of ICT with a post hoc response to suggestions that they were a significant part of the carbon emissions problem.

This report is aimed at the enterprise, with a view to providing explicit advice on how to use the IoT to reduce their own emissions. For the avoidance of doubt, we are concentrating on how enterprises can reduce the emissions arising out of their activities. This report does not cover how an enterprise can enable its customers to reduce their emissions through the use of IoT-enabled products and services.

The report is a companion to a spreadsheet tool designed to be used by managers to identify and quantify carbon reduction opportunities enabled by the IoT.


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