TwinVista - Virtual twinning and scalable AI-assisted services for advanced energy sector coupling and user-engagement

TwinVista investigates the energy flexibility potential of energy sector coupling on both single buildings and aggregated levels (building districts and portfolios), especially when coordinated with e-mobility charging and distributed renewables.

New data-driven AI models and control algorithms will be developed, taking advantage of thermal assets and storage effects, to characterize the building and optimize both operation and investment planning to relieve grid congestion and reduce CO2 footprint.

A real-time digital twinning framework will be developed to automate model configuration using ontologies and BMS integration, to drastically reduce their implementation time and cost.

A virtual AI coach will engage users through large language models to help them understand and improve the CO2 and energy impact of their preferences.

Energy sharing and flexibility services will be enhanced through new market and business models with novel investment tools, adapted to different stakeholders.