Project description
Solution for optimised energy consumption in buildings
Advanced technologies such as augmented intelligence can significantly improve the energy consumption of buildings. Augmented intelligence enhances self-optimisation solutions as it involves user interaction, maximising the savings of a building in operation. The EU-funded Auto-DAN project proposes a solution based on augmented intelligence that allows European buildings and small companies to optimise their energy consumption and assess the live energy performance of a building. The solution takes into consideration the quality of appliances and systems installed, the smart readiness of a building and the users' operational practices. The project will release a trebled-structured framework that assesses the actual energy performance of a building, providing users with knowledge about the proactive optimisation of energy consumption. The solution consists of smart hardware infrastructure, interoperable software architecture and an energy self-assessment framework.
Objective
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 live energy performance of a building which takes into account the quality of appliances/systems installed, user operational habits and the smart readiness of a building.The solution is rooted in augmented intelligence which will focus on the assistive role automation will have in buildings, emphasizing the fact that cognitive technology is designed to enhance human intelligence rather than replace it and that the occupant is a proactive component of the building. 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. To enable this step-change, the Auto-DAN project will deliver a 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. The following, lists the subdivisions of the solution:
• Smart Hardware Infrastructure - Adaptable hardware strategy that can be applied to all building types and features to ensure maximum replicabilbilty of the Auto-DAN solution across the EU building stock.
• Inter-operable Software Architecture - The data analysis platform iSCAN will be used as a foundation for self-optimizing and self-assessing EU buildings stock complemented by 2 analytical features that provides optimisation actions. Those features are a 1. Digital Occupancy Model and a 2. Digital Twin.
• Self-Energy Assessment Framework - Generates an automated, dynamic and continuous energy performance assessmentd erived from the monitoring of the energy consumption at building level, dis-aggregated monitoring at an appliance/system level and incorporates existing EU energy regulations (e.g. EPBD, ECO Design, SRI, and Energy Labeling).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- social sciencessociologyindustrial relationsautomation
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Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
Dublin 1
Ireland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.