Lean Packaging is a project developed in collaboration with the
coffee company Lavazza, aiming to cut void space and waste in
e-commerce shipments without sacrificing product protection, costs,
or customer choice. It targets compliance with the EU Packaging
and Packaging Waste Regulation (PPWR), which from 2030 caps
unused volume per parcel at 40%. Lavazza’s baseline is ∼ 31.3% fill
(∼ 68.7% empty), showing a clear gap.
The MetaVENT project addresses the pressing challenge of reducing
low-frequency noise generated by Heating, Ventilation and Air
Conditioning (HVAC) systems in modern vehicles. In conventional cars,
engine noise partially masks the sound of HVAC units; however, in
electric vehicles this masking effect is absent, making HVAC noise a
more dominant and disturbing contributor to the acoustic environment
of the cabin. Traditional noise control solutions, such as foams and
liners, become ineffective below 1000 Hz unless significant thicknesses (often greater than 50 mm) are used, which are incompatible with the limited space available in automotive ducts.
The MOSE2030 project, developed with Stellantis, delivers a datadriven
and adaptable methodology to guide mobility strategies across
global markets. Its core aim is to help Stellantis identify the most
viable countries for entry by aligning infrastructure, environment,
culture, and technology with business goals
Hydrogen is emerging as the future of renewable fuels, with various
technologies for its production under development. Upon alternative
solutions, photocatalysis stands for its unique potentialities: reduced electric
energy consumption, simple and robust reactors. Moreover, green hydrogen
production is combined with purification of industrial wastewater, making
this technology doubly appealing.
Ra.Re³ is a research initiative exploring the repurposing of
second-life lithium-ion (Li-ion) batteries originally used in Formula E
electric vehicles (EVs) for stationary energy storage applications. By
extending their operational life, the project contributes to United
Nations (UN) Sustainable Development Goals (SDGs), including
affordable and clean energy (SDG 7), industry innovation (SDG 9),
responsible consumption (SDG 12), and climate action (SDG 13).
The construction industry alone accounts for 37% of global CO2 emissions, with cement production alone accounting for 8%. It is essential to propose a sustainable alternative capable of reducing the impact of this hard-to-abate sector. The Re-Came Stone project proposes an innovative solution: taking waste from stone cutting industry and transforming it into a building component through additive manufacturing (AM)
Urban areas, due to their high population density, intensive infrastructure,
and concentrated economic activities, are responsible for approximately
70% of global greenhouse gas (GHG) emissions and consume around 65%
of the world’s total energy. In this context, Renewable Energy
Communities (RECs) have emerged as an innovative and decentralized
solution capable of reducing the environmental impact of cities by
enabling local production, consumption, and sharing of clean energy.
AI-STABLEPOWER aims at developing methodologies for the analysis of power system stability by means of state-of-the-art artificial intelligence (AI) techniques. Indeed, monitoring stability is a major concern for Transmission System Operators (TSOs), as the ongoing displacement of conventional generators by renewable generation technologies has reduced system inertia, thus affecting system stability.
The project aims to research, develop and implement a highly accurate 24/7 cloud-type classification system (CTCS). This classification system uses two advanced all-sky smart cameras that capture images in both visible and infrared domains, enabling accurate sky coverage classification. Smart all-sky cameras sensors refine and improve data collections and incorporate numerous measures to ensure a consistent data flow and minimize classification errors.
ASCloud – TC: All Sky Camera Cloud Type Classifier Read More »
Aim of the project is to carry out a comprehensive and multidisciplinary evaluation of the potential to upgrade the plastic sorting plants with such technologies; this will include some preliminary theoretical evaluations, some practical testing on both an experimental facility owned by Corepla and a full-scale sorting plant, an environmental, economic and social assessment, the latter related to the potential loss of work. Finally, the outcome of the work will become inputs for the eco-design of the plastic products that will allow a better sorting and handling at the plants.