AIOTI Webinar: Presenting IoT and Edge Computing Carbon Footprint Measurement Methodology Report

AIOTI presented on 7 February at the webinar an updated report on IoT and Edge Computing Carbon Footprint Measurement Methodology.

The Report is addressing the users of IoT and Edge Computing technologies and services to help them understand and make informed choices on how to assess the carbon footprint of solutions and services they use and to also measure how these methodologies support carbon footprint reduction of their use.

The Report is structured to present the rules and regulations of the European Green Deal, the initiatives and standards, and existing methodologies of measuring ICT carbon footprint. The report also includes how those methodologies can be applied to IoT and Edge Computing, the description of the methodologies, selection criteria and how to measure the benefits of using them in reducing carbon footprint by using IoT and Edge Computing technologies and services for several industrial domains.

This version of the report (Release 2) updates the equations that were introduced in version (Release 1.1) of the Report, which address the calculation of avoided carbon emissions in industrial sectors when ICT is applied by focusing on:

1. a baseline (industrial) scenario that is supported by an ICT solution and a green enabled (industrial) scenario that applies an advanced ICT solution to reduce carbon emissions in the same industrial scenario,
2. the impact that a closed loop recycling/allocation process has on these equations.

The Report ends with conclusions and recommendations for practical use.

At the webinar, two interesting use cases were presented:

1. “Remote monitoring of screw connection of wind turbines – Analysis of the potential CO2 emission reduction with a smart ICT solution in wind power plants” presented by Ms Sylvie Couronné, Fraunhofer IIS, and
2. “iSeeIce: sensors for better winter maintenance”, presented by Ms Lizhen Huang, NTNU.

The report can be found here.

The presentation from the webinar can be found here and the recording here.