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.

 

Branch workers send data to the center. Credit: vecteezy vector illustration

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. ​