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Gestion et Conduite des Systèmes de Production
Laboratoire des Sciences pour la Conception, l'Optimisation et la Production de Grenoble
Gestion et Conduite des Systèmes de Production

Soutenance de thèse de Lisa Scanu le 10 novembre 2017 à 10h00 à Ense3 - salle Amphi Berge - 21 Avenue des Martyrs à Grenoble

Publié le 27 octobre 2017
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Soutenance 10 novembre 2017

Intitulée : « Vers des archétypes de modèles auto-configurables pour le bâtiment connecté »

Les membres du jury :

  • Prof. Christian GHIAUS - Rapporteur
  • Prof. Christian INARD - Rapporteur
  • Prof. Dirk SAELENS - Examinateur
  • Prof. Elena PALOMO DEL BARRIO - Examinateur
  • Prof. Stéphane PLOIX - Directeur de thèse
  • DR. Etienne WURTZ - CoDirecteur de thèse

Résumé :

As buildings become more energy-efficient, the effect of human activities on their global consumption increases. To limit this impact, a first attempt was made to increase the level of automation in buildings. However, from surveys led in residential and office buildings, Carassus and Sidler conclude that automation does not reduce the gap between predicted and effective consumption. This work reveals that static rules can not be sufficient. In order to reach the goal of low energy consumption in the operation phase of buildings, occupants must then be involved in the energy management process. The proposed work is part of a research project focusing on a system embedding energy services with a high level of interaction to empower users with energy services. The role of these energy services is to allow users to define their own objective and consequently generate information and advice regarding the best strategies to apply on building systems (HVAC systems, sun-shading devices, windows opening,…) and envelope configuration. An analysis of the sociological literature was made in order to implement relevant services for the users, favouring real and durable changes in their behaviours. Some of these services require thermal and aeraulic behavioural models easy to set up and little expert knowledge. This thesis focuses on the development and implementation of a model relevant for energy management end-user services. It involves to deal with the definition of relevant model structures together with parameter estimation methods to tune the parameter values. The model must be simple enough to ease its set up with estimation and prediction capabilities. The limits in terms of complexity and computational time are discussed. The energy management services should be configured by occupants thus it must not require much expert knowledge. Consequently, some sensors are needed to estimate the thermal and aeraulic model. Tests have been performed to limit the needed instrumentation. Relevant model structures are discussed because they should be generic: it should adapt to both mono-zone and multi-zone case studies and it should be based on a minimal number of sensors and require little expert knowledge.
 


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Rédigé par Fadila Messaoud-Djebara

mise à jour le 27 octobre 2017

  • Tutelle CNRS
  • Tutelle Grenoble INP
  • Université Joseph Fourier
  • Tutelle UMR
Communauté Université Grenoble Alpes
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