May 12th 2026

Reducing the Performance Gap and Empowering Building Occupants to Reduce their Energy Consumption

Buildings are responsible for about 40% of the energy consumed in Europe and up to 75% of the EU’s building stock is considered inefficient. And to efficiently power indoor spaces, there’s a need for solutions that reduce energy consumption. The EU-funded Auto-DAN project, coordinated by IES, brought together a consortium of 12 partners across 4 countries to explore how smart monitoring and analytics – including iSCAN – can support homes and small businesses by assessing in-use performance (including appliances and occupant behaviour) and pointing to opportunities to reduce consumption. 

What is Auto-DAN? 

The energy performance of buildings generally does not include consumption from appliances and devices that are not part of technical building systems, for example heating and ventilation. Auto-DAN set out to address this gap. By using a range of software and augmented intelligence, the project developed methods to assess in-use energy performance that also consider the quality of appliances/systems installed, user operational habits and the smart readiness of the structure. This type of insight can help users make more informed choices in terms of investment, usage and maintenance. 

The Auto-DAN Project 

The project set out to deliver a way to evaluate the actual energy performance of buildings and provide building users with the awareness to proactively optimise their energy use. Auto-DAN focused on: 

  • Smart Hardware Infrastructure – A flexible hardware infrastructure was developed, including specifications and designs for key components (such as smart meters, IoT gateways and UX dashboards) intended to be adaptable across residential and commercial buildings. 
  • Inter-operable Software Architecture – Technologies were integrated into a unified data management platform, achieving interoperability between the iSCAN and SenseIoTy platforms (SenseIoTy is an IoT data platform used in the project). This interoperability helps enable connections with other building and IoT data sources and platforms. Digital twin and occupancy models were developed to support building performance assessment. 
  • Self-Energy Assessment Framework – A live self-energy assessment method was developed, defining and applying key performance indicators (KPIs) across demo sites and integrating the KPIs into the Auto-DAN dashboard. 

How IES Provided a Solution with iSCAN

IES contributed to Auto-DAN by applying iSCAN to bring together monitored building data and turn it into performance insights that can be surfaced through dashboards. 

iSCAN can also support: 

  • In-use performance evaluation 
  • Combining live and historic data 
  • Operational optimisation support 

Results and impact 

Auto-DAN delivered flexible hardware specifications and component designs to support deployment across different small-building contexts, alongside a unified data management approach with interoperability achieved between iSCAN and SenseIoTy. The project also developed and user-tested UX dashboards and integrated a KPI-based live self-energy assessment method into the dashboard. In parallel, Auto-DAN explored business models and market opportunities for flexibility and demand response, informed by surveys and industry engagement. 

Our collaboration with Auto-DAN was recently featured in CORDIS Results in Brief, so if you’d like to discover more about the project, you can read the full article here.   

This project is funded by the European Union under Grant Agreement No. 101000169.