Validation of building energy management strategy: Application to home thermal zone
Autor: | Stéphane Ploix, Seddik Bacha, Lakhdar Belhadji, Rim Missaoui |
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Přispěvatelé: | Garcia, Sylvie, Laboratoire de Génie Electrique de Grenoble (G2ELab), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), Simulation Neutronique, Technologies de l’Information et Calcul Scientifique (EDF R&D SINETICS), EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF) |
Rok vydání: | 2013 |
Předmět: |
Building management system
Engineering Energy management business.industry 020209 energy [SPI.NRJ]Engineering Sciences [physics]/Electric power Photovoltaic system 02 engineering and technology Energy consumption Optimal control 7. Clean energy Automotive engineering Renewable energy Load management Home automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business ComputingMilieux_MISCELLANEOUS Simulation [SPI.NRJ] Engineering Sciences [physics]/Electric power |
Zdroj: | Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference, May 2013, Istambul, Turkey. pp.921,926 |
Popis: | The Demand-Side-Load Management applied to household is a control strategy which will change the way we consume and produce energy. Several works give different forms of management algorithms of Smart Home integrated or not renewable energy and especially the photovoltaic. All these researches have the same general objective: minimize the daily energy consumption level to reduce the electricity bill without harming the comfort of residents. This paper deals with a Building Energy Management (BEM) System controlling household energy capable both to satisfy the maximum available electrical energy constraint and maximize user comfort criteria. It is composed of three layers. This household energy control system is based on simple models. To validate them, a virtual building modeled more finely using MATLAB/Simulink is used. This work presents the application of optimal control to a thermal zone of a virtual building. The objective is to control energy “Smart Homes” consumption through predicted energy price. |
Databáze: | OpenAIRE |
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