Case studies

Case study calculators

To fulfil the second action of the EGDC declaration[1], the EGDC EP Pilot Project will develop methodologies for the assessment of the net environmental impact of at least 18 selected digital solutions (case studies). The case studies will cover six different sectors (Energy/Power, Transport, Construction/Buildings, Manufacturing, Agriculture and Smart Cities), identified as priority areas.

The aim of the case study calculators is to assess the net environmental impact of the selected solutions. 


As a first set, 6 case studies were selected among use cases submitted by Coalition members. (Discover them below or click here).

In two following submission rounds, to be completed by the end of 2022, additional 12 case studies will help to validate and further refine the iterative development of the net environmental impact methodology with real-life use cases.


[1] „To engage with relevant organisations to develop standardised, credible and comparable assessment methodologies for the net impact of green digital solutions on the environment and climate in priority sectors such as energy, transport, manufacturing, agriculture and the building sector. First available results will be presented in 2022 at a dedicated event.” Read the full EGDC Declaration here.

Selection of case studies

The first set of six case studies was selected based on a selection process comprised of 3 successive steps:


Step 1: Pre-selection requirements to ensure minimum requirements are met by the case study, namely:

  1. Enabling greenhouse gas (GHG) savings across other, non-ICT sectors
  2. Not cause any significant social or environmental harm
  3. The digital component of the solution/product must have a link to the GHG savings
  4. Meets minimum threshold of scoring criteria (i.e. above 50%)

Step 2: Case study categorisation – to ensure a broad range of case studies

All case study suggestions were categorised by sector, and whether they address one of the key issues of the identified priority sectors.

Overall, the aim will be to have at least 2 case studies for each priority sector and at least 1 case study that addresses a key issue of its sector. 

Step 3: Scoring criteria case studies were prioritised based on the following key criteria:

  • Data Quality
  • Likely magnitude of impact
  • Application mechanism
  • Access to partners (developers of solution, users of solution)
  • Sector coverage
  • Geographic coverage

First set of selected case studies


IBM Flex Utilities Platform

 IBM Flex Utilities Platform is a solution that can help governments, municipalities and corporations, through the use of emerging technologies such as IoT and AI, connect to and aggregate their demand-side flexibility across a large fleet of commercial buildings, heat pumps and electric vehicles (EV) charging stations.

Transport 1

Fleet Optimise

Telefonica’s fleet optimisation solution is an end-to-end service that provides fleet managers a deep understanding of the state and use of their fleet in real time helping to reduce CO2e emissions. It also helps to prevent vehicle failures and repairs, extending the life of vehicles.

Transport 2

Ericsson: Optimisation of port processes

This solution uses 5G technologies to enhance the exchange of real-time information among actors in a port’s terminal process (in this case Port of Livorno in Italy). This activity can lead to a reduction in movements of cargo handling, significantly optimizing the process overall and lowering fuel consumption.*

Construction /Buildings

Cisco Smart Buildings & Schneider Electric Advanced Building Management System 

Both solutions automate management processes to enable emissions savings from energy reduction in non-residential buildings.


Vodafone – Augmented Worked Mixed Reality

The application provides a worker with real-time instructions using head mounted displays, ensuring first-time fixes, improved accuracy, reduced health & safety risks, and creates an immersive on the job learning experience.


Liberty Global Reducing Herbicides Solutions

The solution uses high resolution images taken by drones and sent through 5G to map out and detect weed locations, allowing farmers to target the use of herbicides of only the necessary areas. This solution promotes organic farming and reduces the emissions associated with the use of herbicides.  

 * The Port of Livorno case was originally developed in collaboration between the Port of Livorno, Ericsson, Fondazione Eni Enrico Mattei (FEEM) and the National Inter-University CNIT as part of the EU H2020 project Corealis