TOOLBOX
Holistic energy network modelling/Digital Twin Energy Modelling
This tool adopts a hierarchical approach, from individual
buildings to districts, integrating existing energy assets and infrastructure. Data and physics-based simulations help assess performance, while AI-driven tools support collaborative decision-making. It aids in designing, testing, and evaluating net-zero pathways, including deep retrofits, thermal load electrification, and DER integration (e.g., PVs, EVs, storage). The solution supports:
1) Inhabitants and prosumers with simplified data visualizations to reduce energy poverty,
2) Decision-makers in optimizing CAPEX, OPEX, and energy operations for demand-supply balance,
3) Consultants and engineers in creating tailored, KPI-driven solutions to improve energy performance, climate resilience, and district efficiency.
Lead partners
Technology Readiness Level (TRL)
TRL6 to TRL8
User journey
Model Development using IoT and historical data.
Assessment and optimisation of energy performance, carbon footprint, and indoor environmental quality
Key functionalities
Design, analyse, optimise building energy performance across building lifecycle to buildings portfolios.
Support renewable energy modelling.
Users
Engineers
Architects
Contractors
Stakeholders.