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. 

 

Two set of case studies were selected among use cases submitted by Coalition members. (Discover them below or click here).

By the beginning of 2023, additional 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 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

Transport

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

Schneider Electric High-Performance Building Management System 

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

 * 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

Second set of selected case studies

Construction/Buildings

Inteligg – c-BEMS

c-BEMS is a cloud-based SaaS (software-as-a-service) tool for the Building energy management system (BEMS) that achieves high energy savings for any kind of buildings through building automation technologies by implementing remote control of multi-zonal heating/cooling and lighting systems via Wi-Fi connected sensors in a unique IoT platform by employing AI algorithms and Model Predictive Control to automate the energy/lighting consumption behavior detection, thermal modelling of the building, energy demand prediction and optimization.

Transport

AddSecure – Logic TMS

Logic TMS is a transport management system offered as an end-to-end solution for carriers. Logic TMS brings the entire order management process to a modern cloud-based platform, providing real-time control and insights that help optimize every stage of the transport process, including fleet and fuel utilization and order management. The AI-enabled AutoPlanner tool help calculate best route combination, highlighting associated fuel and cost savings

Agriculture


Telia Ekobot

Ekobot is an autonomous, electric field robot for mechanical weed control, which is connected to Telia’s 5G network. It allows for efficient and environmentally conscious farming. Ekobot can identify and mechanically remove weeds using advanced camera sensors and AI. It enables reductions in the use of chemicals on the field for healthier crops, soil, and produce.  

Smart cities

Nokia - Integrated Operations Center (IOC) for Nicosia Municipality Smart City (Cyprus)

The Integrated Operations Center platform is a digital enablement platform that increases productivity, efficiency and growth through agile introduction and largely automated utilization of digital operational technology assets and capabilities. It is part of the Smart City project of the Nicosia municipality in Cyprus in cooperation with Cyta, where among other operations, it is also used to provide information on waste bin fillings and traffic information using video analytics to reduce overall transport emissions and pollution levels. The main objective of Smart Nicosia project is the development and use of new technological means that will improve the management and functionality of the urban environment in the city of Nicosia.

Manufacturing

Nokia - Conscious Factory

Nokia’s Conscious Factory, an Advanced 4th Industrial Revolution Lighthouse Factory of the Future, revolutionizes manufacturing by introducing enhanced connectivity and top digitalization technologies at scale. The solution saves energy by automating and optimizing production processes, increasing speed and quality at the same time, as well as reducing waste by avoiding flaws.

Agriculture


Atea GlobeTrack

GlobeTrack by Atea is a blockchain solution that tracks fish stock transport across cold-chain stages from Norway to a municipal district in Sweden. This tracking technology monitors food stock data metrics such as temperature, location during transport etc. to enable reduced fish stock wastage, more efficient and sustainable value chains and to improve food quality and traceability for customers.