ADRENALIN – Data-Driven Smart Buildings Project

ADRENALIN, It aims to facilitate the digital transformation of the existing building stock by creating and implementing data-driven applications that can optimize energy use.

Buildings are responsible for of the primary energy demand in the EU and a high share of peak electricity use; the vast majority for heating and cooling. Thanks to their high thermal inertia, buildings also have great potential for energy flexibility. So far, activating this latent flexibility has proven challenging. While digitalization is considered a significant facilitator, the fact that in most existing buildings the main energy meter data is the only data available and that the development of data services for buildings depends on the availability of additional information, particularly when considering the splitting of energy use for heating and cooling, presents a major problem.

ADRENALIN aims to develop machine learning and intelligent control algorithms that will enable or improve new data services such as flexible heating and cooling control with the ability to automatically program and adjust demand according to price signals from the energy system while protecting users.

ADRENALIN will organize competitions for crowdsourced solutions to specific data challenges by collecting a large and diverse pool of measurement data from real buildings (data virtual space). The best-performing solutions will be implemented in real-life conditions on the digital platforms of partner companies to test their overall validity and repeatability and demonstrate real-life performance.

Project Partners:

  • SINTEF, Norway (Coordinator)
  • RISE, Sweden
  • Herrljunga Elektriska AB, Sweden
  • Akademiska Hus, Sweden
  • University of Southern Denmark (SDU), Denmark
  • ReMoNi AS, Denmark
  • NTNU, Norway
  • IWMAC AS, Norway
  • AES Innovation, Türkiye
  • Synavision GmbH, Germany

The project is funded by the Joint Call 2020 (MICall20) for transnational projects on digital transformation for green energy transition. Funding partners participating in the Joint Call are ERA-Net Smart Energy Systems (ERA-Net SES) and the Mission Innovation (MI) Initiative.

ADRENALIN: Data-Driven Smart Buildings

ADRENALIN is a data-driven smart building approach that develops machine learning and intelligent control algorithms to accelerate the digital transformation of the existing building stock. Its main goal is to transform real-time measurement data collected from buildings into meaningful energy services; dynamically managing energy demand while preserving user comfort.

What does it do?

  • Data analysis: It collects large-scale measurement data from real buildings and breaks down energy usage (e.g., into heating and cooling components).
  • Intelligent algorithms: It dynamically manages energy demand and provides flexibility by responding to price/grid signals.
  • Comfort guaranteed: It works in a way that increases flexibility while preserving the comfort of building users.

For whom is it valuable?

  • Cities, regions, and campuses that implement energy management.
  • Building operations operators and facilities managers
  • Energy distribution/transmission companies
  • Data science and energy solution providers

AES Innovation, in the ADRENALIN project partner It is located in [location]. In line with our R&D and innovation vision, we actively contribute to the development of data-driven energy management and smart building technologies; aiming to make buildings more efficient, flexible and sustainable.

To learn more about our smart building and energy management solutions, Contact us.