Imagine a smart app that helps you save energy by turning it into a game. It doesn't just look at your electricity bill, but also considers things like your health, travel habits, and local weather to give you a personalized plan. It's like having a digital twin of your life that finds the best ways to cut costs and carbon.
Energy transition is often slow because citizens lack personalized, engaging, and accessible tools to change their behavior. Current energy data is siloed and doesn't account for other life factors like health, finance, or transport.
The ENERGENIUS Suite: a digital platform featuring digital twin models, serious games, cross-sectoral dashboards, a marketplace, and AI-driven recommendations.
If you are a property management firm dealing with high energy waste in residential complexes — this project developed a digital twin and AI recommendation suite that provides customized energy-saving advice to tenants. This increases building efficiency and user engagement through gamified learning.
If you are a green finance provider dealing with a lack of verified energy-saving data for loan incentives — this project developed a secure cross-sectoral data exchange system. This allows for the integration of finance and energy data to reward sustainable behavior.
If you are a hotel chain dealing with unpredictable energy spikes during peak seasons — this project developed a suite that merges tourism and energy data dynamics. This helps in creating more efficient energy use patterns based on guest behavior.
Based on available project data, no specific pricing or cost details are provided.
The project is designed as a scalable and replicable ecosystem, utilizing cloud-based technologies like Big Data and Edge Computing to handle cross-sectoral data.
Based on available project data, specific IP and licensing terms are not disclosed.
It uses a one-stop-shop digital platform that amalgamates data from 9 knowledge arenas, including energy data dynamics and environmental conditions, ensuring interoperability.
The project period runs from 2024-09-01 to 2028-02-29, indicating a multi-year development and implementation cycle.
The consortium is heavily industry-weighted with a 56% industry ratio, comprising 10 industrial partners (including 9 SMEs) and 6 universities. This strong commercial presence, spanning 10 countries, suggests a high focus on market viability and practical application rather than purely academic research.
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