IES On-Demand Learning

This course introduces how all the IES tools are integrated to create Digital Twins at multiple scales, from individual buildings to campuses, portfolios, and entire cities. Using real‑world project examples, it provides a clear overview of how Digital Twins support data‑driven decision‑making across the built environment.

You’ll explore how physics‑based simulation, 3D models, real‑time operational data, and machine learning are combined to create live Digital Twins that reflect real‑world behaviour. The course demonstrates how these models deliver actionable insights into energy use, carbon emissions, capital investment, and operational performance, while also considering wider resource, transport, social, and economic factors.

The course introduces the roles of key IES tools, including iCD for sustainable master planning and portfolio analysis, iVN for local energy networks, iSCAN for operational data analytics, and IESVE for detailed building performance simulation. Each session highlights practical applications for Digital Twin and the methodologies used to deliver measurable outcomes at scale.