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Towards an Expert System for Energy Saving and User Engagement in Existing Buildings

Presentation held at 7th Linked Data in Architecture and Construction Workshop, LDAC 2019, Lisbon, Portugal, 19-21 June 2019
 
: Pruvost, Hervé; Enge-Rosenblatt, Olaf

:
presentation urn:nbn:de:0011-n-5581405 (5.5 MByte PDF)
MD5 Fingerprint: 9b412cb092c4302c726ef99f7b88c4d3
Created on: 12.9.2019


2019, 16 Folien
Linked Data in Architecture and Construction Workshop (LDAC) <7, 2019, Lisbon>
European Commission EC
H2020-RIA - Research and Innovation Action; 768738; eTeacher
end-users Tools to Empower and raise Awareness of Behavioural CHange towards EneRgy efficiency
English
Presentation, Electronic Publication
Fraunhofer IIS, Institutsteil Entwurfsautomatisierung (EAS) ()

Abstract
The purpose of this industry case is to describe an ICT method relying on semantic web technologies for enabling energy savings in buildings by influencing the behavior of their users. This work is part of an European research project named eTEACHER that aims at empowering energy end-users to achieve energy savings while respecting comfort and health conditions within buildings. The project shall provide as outcomes ICT solutions that process data from building energy and control systems and that deliver tailored information enabling behavioral change of end-users. In this way, building end-users (householders, facility managers, office employees, staff, school teachers…) shall be able to identify energy use improvements that they can undertake by themselves and integrate in their daily activities. In that context, the presented work specifically develops a software component that shall perform a semantic analysis of building operation states in order to provide the end-users with recommendations in terms of energy conservation measures to engage their behavioral change for saving energy.

: http://publica.fraunhofer.de/documents/N-558140.html