Energy modelling and data analytics for net-zero retrofit

With 80% of the 2050 building stock already standing, global retrofit rates need to accelerate rapidly to ensure that net-zero carbon targets remain within reach. However, given the complex nature of buildings, how can building owners, operators and AEC practitioners make informed decisions to ensure that strategies deliver in terms of energy, carbon, comfort, and cost?
In this session, Giulia Barbano, R&D Operations Manager at IES will use real case studies to explore how cutting-edge energy modelling, dynamic design tools, and data analytics can streamline decision-making and reduce risk for retrofit projects.
This session will equip attendees with actionable insights and innovative approaches to deliver high-performance retrofits that stand the test of time – from initial optimisation to dynamic modelling of light and deep retrofit solutions, right through to ongoing post-retrofit monitoring and verification.