Emissium

This project addresses a critical challenge in electric vehicle (EV) adoption: aligning charging behaviour with environmental sustainability and energy efficiency. As EV usage grows, so does the demand for electricity – often during peak periods when the grid relies on carbon-intensive sources. Existing charging systems do not incentivise users to consider the environmental impact or cost variability of their charging times.

Our aim is to change that. We are developing a software platform that integrates real-time electricity emissions data and predictive analytics to optimise EV charging schedules. The platform shifts charging to periods when the electricity grid is cleanest and cheapest, enabling a triple benefit: users reduce their carbon footprint and are rewarded with voluntary carbon credits, EV charging operators lower energy costs, and grid managers gain better control of demand peaks.

The main objective is to demonstrate how smart software can empower sustainable behaviour in urban mobility. Inspired by the urgent need for greener transport and the untapped potential of data-driven solutions, the project combines emissions tracking, artificial intelligence and user-friendly interfaces to deliver a measurable impact.

The project is a collaboration that serves as the pilot testing ground. The platform will be integrated with existing EV charging stations in Lisbon, where over 50 users will participate in real-world testing. The project is designed to be a replicable model across European cities. By combining innovation, user incentives and real-world demonstration, it aims to contribute to cleaner cities, smarter energy use and more inclusive electric mobility – accelerating the shift toward a sustainable transport future.