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2. Optimization of Electricity Consumption in a building

Author

Fethi Demim, Philippe Marthon, Hocine Iddir, Abdelkrim Nemra, Mohamed Aidene, Kahina Louadj, Université Mohamed Akli Ouelhadj de Bouira (UMAOB), Traitement et Compréhension d’Images (IRIT-TCI), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Ecole Militaire Polytechnique [Alger] (EMP), Ministère de l'Enseignement Supérieur et de la Recherche Scientifique [Algérie] (MESRS)-Ministère de la Défense Nationale [Algérie], Laboratoire de robotique et de productique (LRP), École Militaire Polytechnique [Alger] (EMP), Laboratoire de Conception et Conduite des systèmes de Production (L2CSP), Université Mouloud Mammeri [Tizi Ouzou] (UMMTO), and Institut National Polytechnique (Toulouse) (Toulouse INP)

Subjects
Optimization, Consumption (economics), Economics, Energy management, business.industry, 020209 energy, education, Thermal comfort, Tariff, Heating systems, 02 engineering and technology, Energy consumption, Dynamic programming, 7. Clean energy, Automotive engineering, Mathematical model, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Heuristic algorithms, Environmental science, Electricity, Buildings, Energy regulation, business
Abstract

International audience; The main objective of an energy regulation of a building is to maintain internal thermal comfort, as well as minimize energy consumption, or reduce the peak of electrical consumption. The dynamic programming has been used to minimize a cost function, accounting for a high peak electricity tariff, under constraints related to comfort (minimal temperature, maximal temperature variation) and the maximum heating power. The proposed energy management consists in over-heating the building during the hours before the peak knowing in advance the weather, occupation and internal gains for the day. The method has been tested in a case study corresponding to a house of a four-person family with performance levels: high construction and poorly insulated old house.

Published
2018

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