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Auto-DAN

Self-optimisation of buildings mixing automated controls with user interaction

Description

The Auto-DAN project aims to enable homes and small businesses across the EU to optimize their energy consumption and provide an assessment of the kive energy performancfe of a building.

The solution is rooted in augmented intelligence which will focus on the assistive role automation will have in buildings, Augmented intelligence enhances a self-optimisation solution as it is a mix of automated controls with user interaction which will maximise the savings of a building in operation.

Auto-DAN projet will delivera trebled-structured project framework that evaluates the actual energy performance of EU buildings and provide building users with the awareness to proactively optimize their energy use.

Objectives

  • Explore the evolution of IoT and other technologies to capture data to enable the self-optimisation of buildings energy consumption.
  • Create an augmented intelligence solution designed to enhance human intelligence.
  • Develop a self-assessment methodology that takes into account the actual energy performance, the quality of systems installed, user operational habits and the SRI of a building.

Actions

  • Create a smart hardware infrastructure that can be applied to all small-to-medium sized buildings.
  • Develop an interoperable software architecture to self-assess and self-optimise buildings in the EU.
  • Deliver Augmented Intelligence solutions to enable buildings and their users to become self-optimzing.
  • Create a live self-energy assessment method more accurate than the current ones.

Expected Results

Auo-DAN project will deliver a framework to evaluate the energy performance of EU buildings and provide its users with the awareness to optimize their enery use with the following main components:
  • Smart Hardware Infrastructure available to be applied to all EU building types and features
  • Inter-operable Software Architecture
  • Self-Energy Assessment Framework
  • Partners

    H2020

    H2020-LC-SC3-EE-2020-1. Total Budget: 5,675,186 € Contribution: 4,415,245 € Duration: October 2020 – September 2024

    Responsible 

    Susana Mª Gutiérrez

    Energy Division

    Networking

    Energy Efficiency Projects:

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