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Gestion énergétique optimisée pour un bâtiment intelligent multi-sources multi-charges : différents principes de validations

Abstract : The building is an important energy node and an ideal support to develop and analyzethe effects of an Energy Management System (EMS). Because of its potential impact, such amanagement of global energy demand is important. However, to achieve these goals, severallocks must be removed. Beyond issues related to the distribution architecture, to models(including those relating to user behavior), sizing tools, the formalization of parameters,constraints and criteria, production systems and methods of connection to the grid, problemrelated to implementation of decentralized management tool and its validation are central. Mywork is part of this context. It focuses in particular on the development of energy models,strategies for energy management in a multi-source and multi-load configuration, andespecially, the implementation methods and the validation tools through various test bencheswhere some components are real.This paper analyzes the energy manager “G-homeTech” including several managementfeatures tested on virtual and hybrid test benches that combine both hardware and softwarecomponents in the simulations. This has put communicating actuators to test their relevance.The validations show that the energy manager allows the deletion of peak demand andsavings on the overall energy bill while respecting the technical and regulatory constraints.Predicted events are not always those that occur. We then simulated such situations.Solar radiation and the total consumption of uncontrollable services are different from thosepredicted. This difference has led to over-subscribed electric power which has enabled themanagement mechanism of reactive energy manager. Load shedding orders are thendynamically sent to certain equipement. These orders directly supply models of electricalequipment.According to the relative importance given to cost and comfort, we have shown that theenergy manager can make substantial savings avoiding consumption during price peaks andavoiding over-subscription by erasure, by modulation of heating system operation and byshefting the timed service operation in the most interesting periods in energy.
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Rim Badreddine. Gestion énergétique optimisée pour un bâtiment intelligent multi-sources multi-charges : différents principes de validations. Autre. Université de Grenoble, 2012. Français. ⟨NNT : 2012GRENT025⟩. ⟨tel-00780209⟩

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