Advanced BMS Platforms and Augmented Intelligence

Europe faces a significant energy crisis intensified by rising rates and lagging energy efficiency in the residential market. This leads to higher energy bills for households, compounded by a lack of clear guidance on how to reduce energy consumption effectively. In response, the Auto-DAN project emerges, offering innovative solutions to optimise energy usage in EU buildings.

Auto-DAN embodies the concept of augmented intelligence, emphasizing the collaboration between automation and human intelligence. This approach allows the gathering and analysis of data to finally offer feedback on potential measures users can take to ensure not only efficient energy management but also enhance comfort and control within buildings. The project presents a comprehensive framework consisting of Smart Hardware Infrastructure, Inter-operable Software Architecture, and a Self-Energy Assessment Framework. These components are designed to offer flexible solutions applicable to various building types across the EU, helping users to schedule and select equipment to minimize consumption. Moreover, Auto-DAN addresses the challenge of fragmented IoT platforms and disparate standards, advocating for interoperability and seamless data exchange.

In conclusion, Auto-DAN transcends traditional energy performance assessments by introducing dynamic and continuous evaluations. By considering real-time data, user behaviour, and building readiness, it provides actionable insights for energy optimization. This is supported by the creation of an innovative user communication via a UX Dashboard, which offers a comprehensive view of their status and recommendations for energy savings.

The 3rd Auto-DAN Roadshow serves as a platform to showcase these ground-breaking innovations, disseminate key exploitable results, and foster collaboration towards a sustainable energy future. Additionally, the workshop welcomes the SATO project to join forces and enhance our collective efforts toward achieving our shared goals.

SATO will briefly showcase their contributions to improving energy efficiency in buildings, developed innovations and KERs, and innovative BIM and augmented reality visualization strategies for real-life energy assessment. The SATO project developed a modular cloud-based platform to advance real-life assessment of energy performance and energy use in buildings, thus reducing the gap between designed and measured energy use. The platform uses an architecture with four layers for self-assessing and optimizing buildings’ energy resources: an IoT middleware, a self-assessment framework, a framework of optimization services, and end-user applications and interfaces. Semantic models are employed across the four layers to support data and systems interoperability and to support the autonomous SATO self that discovers, orchestrates, and executes the KPIs, assessments, and services computational tasks.

Contributing projects:

• Auto-DAN
• SATO

Session Chair:

Beatriz Fraga De Cal, IES R&D – Simone Buffa, R2M Solution – Celina Solari, RINA Consulting – Elena Comotti, Delta Ecopolis – Ciarán Ó Bréartúin, mSemicon – Pedro M. Ferreira, Faculty of Sciences, University of Lisbon – Pablo Gilabert, CYPE