Energy sustainability indicators based on waste separation
Pilot location in Portugal
This pilot integrates household waste separation data into renewable energy community (REC) operation, using AI and computer vision to enhance carbon footprint tracking, promote circular economy practices, and empower users with personalised insights and support for better recycling and energy decisions.
Core technologies:
AI solutions from Third Parties:
Sustainability indicator based on waste separation for REC dynamic allocation factors determination
Waste separation classification
Problem addressed: Lack of integrated visibility into the environmental impact of households, especially when it comes to waste generation and correct separation related to energy use and carbon emissions
Expected outcomes: Improved sustainability and energy efficiency in REC operations through the promotion of correct waste separation by allocating more energy to the community members who recycle better.