TwinVista
Virtual twinning and scalable AI-assisted services for advanced energy sector coupling and user-engagement
PROJECT INFORMATION
Timeline
April 2024 – December 2028
Total cost of project
9 322 381 SEK
Swedish Energy Agency’s project number
P2023-01521
Coordinator
KTH Royal Institute of Technology
Participants
KTH, RISE, Region Uppsala, Vattenfall, Vasakronan, Uponor, Stockholm Exergi, Svenska Bostäder, PEAB, Maston AB, Lowte AB, KTC Control, Idun RealEstate Solutions, Akademiska Hus
Project manager and contact
Qian Wang: qianwang@kth.se
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 advantages 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 enagage users through large language models to help them understand and improve the CO2 and energy impact of the preferences.
Energy sharing and flexibility services will be enhanced through new market and business models with novel investment tools, adapted to different stakeholders.
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