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The term digital twin may be used for a digital representation of the building as in UC1,UC2, UC3 and UC4, but the full blown approach sees Model Predictive Control based on measurements of the actual status and using weather forecasts. The UC1, UC3 and UC4 will use general forecast data and scenarios for the developments of the building stocks for modelling.

UC1 Energy consulting for individual buildings, based on Energy Performance Certificate (EPC) data (extended XML), XML as living document, also accessible via QR code The quality of the individual energy consulting of property owners shall be made more efficient and be based on quality assessed building data used in Energy Performance Certificate EPC.
Actors: People, Systems, Applications, Databases, the Power System, and Other Stakeholders and their role:
Property Owner - commissions energy consulting or is deemed to have energy consulting
Energy consulting entity - either private (government controlled) or non for profit

UC2 Support of Market Development for thermal refurbishment through Big Data approach using anonymous EPC based data The refurbishing industry is provided with accurate demand market data from enhanced Energy Performance Certificate EPC registers, so it can develop cost-efficient products.
The industry gets access to aggregated data, which originate from quality assured enhanced EPC register data.
The charged bodies or authorities compile aggregated and/or anonymized XML data from EPC issuing

UC3 Support of Energy Policy by using EPC based data (forecasts, scenarios, revealing deficits...)  The energy policy is based on empirical data, employing data science on enhanced Energy Performance Certificate EPC register data. Funding is correlated with changes in energy demand. Funding triggers new EPC.
Researchers, the energy agencies, or officers from responsible public entities may correlate renovation rates with funding schemes
The bodies or authorities in charge allow access to anonymized EPC based XML-data (stored in database fields)

UC4 Pre-planning of Energy Systems (e.g., rural district heating networks or energy communities) with the help of EPC data acquired from potential customers Energy system designers contract building owners to get accurate Energy Performance Certificate EPC based XML-data for planning smart energy systems from conducting asset-based EPC.
Energy system designer use the geo-located digital twins to simulate extension of networks or planned networks.
Building owners commit to deliver data for the digital twin originating from the EPC-process in return to a free EPC.
The digital twin might be offered by third parties, processing EPC data to be used in a building simulation tool.

UC5 Building Energy Management with model predictive control (MPC) based on own EPC based data (accessed via link or QR-code) While conducting asset-based Energy Performance Certificate EPC the data is collected and used for a digital twin which is used for model predictive control minimizing cost/CO2 intensity.
The building owner procures an EPC with export of enhanced XML to be used in a digital twin in the building energy management system.
The EPC issuer uploads the data to the Building Energy Management System BEMS. The BEMS producer foresees interfaces to import building data as enhanced XML ad read weather forecasts

UC6 Network/Grid Energy Management with the help of central digital twins, based on EPC based data While conducting asset-based Energy Performance Certificate EPC, the building data is collected and used for a digital building twin which is used for model predictive control minimizing cost/CO2 intensity.
The building owner procures an EPC with export of enhanced XML to be used in a digital building twin in the building energy management system.
The EPC issuer uploads the data to the Building Energy Management System BEMS. The BEMS producer foresees interfaces to import building data ad read weather forecasts

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