LAPSE:2023.29672
Published Article
LAPSE:2023.29672
A Heating Controller Designing Based on Living Space Heating Dynamic’s Model Approach in a Smart Building
Roozbeh Sadeghian Broujeny, Kurosh Madani, Abdennasser Chebira, Veronique Amarger, Laurent Hurtard
April 13, 2023
Most already advanced developed heating control systems remain either in a prototype state (because of their relatively complex implementation requirements) or require very specific technologies not implementable in most existing buildings. On the other hand, the above-mentioned analysis has also pointed out that most smart building energy management systems deploy quite very basic heating control strategies limited to quite simplistic predesigned use-case scenarios. In the present paper, we propose a heating control strategy taking advantage of the overall identification of the living space by taking advantage of the consideration of the living space users’ presence as additional thermal sources. To handle this, an adaptive controller for the operation of heating transmitters on the basis of soft computing techniques by taking into account the diverse range of occupants in the heating chain is introduced. The strategy of the controller is constructed on a basis of the modeling heating dynamics of living spaces by considering occupants as an additional heating source. The proposed approach for modeling the heating dynamics of living spaces is on the basis of time series prediction by a multilayer perceptron neural network, and the controlling strategy regarding the heating controller takes advantage of a Fuzzy Inference System with the Takagi-Sugeno model. The proposed approach has been implemented for facing the dynamic heating conduct of a real five-floor building’s living spaces located at Senart Campus of University Paris-Est Créteil, taking into account the occupants of spaces in the control chain. The obtained results assessing the efficiency and adaptive functionality of the investigated fuzzy controller designed model-based approach are reported and discussed.
Keywords
ambient intelligence, Artificial Intelligence, Energy Efficiency, fuzzy inference system, heating controller, smart building
Suggested Citation
Sadeghian Broujeny R, Madani K, Chebira A, Amarger V, Hurtard L. A Heating Controller Designing Based on Living Space Heating Dynamic’s Model Approach in a Smart Building. (2023). LAPSE:2023.29672
Author Affiliations
Sadeghian Broujeny R: LISSI Laboratory EA 3956, Campus de Senart, Senart-FB Institute of Technology, Université Paris-Est, 36-37 Rue Charpak, F-77567 Lieusaint, France
Madani K: LISSI Laboratory EA 3956, Campus de Senart, Senart-FB Institute of Technology, Université Paris-Est, 36-37 Rue Charpak, F-77567 Lieusaint, France
Chebira A: LISSI Laboratory EA 3956, Campus de Senart, Senart-FB Institute of Technology, Université Paris-Est, 36-37 Rue Charpak, F-77567 Lieusaint, France
Amarger V: LISSI Laboratory EA 3956, Campus de Senart, Senart-FB Institute of Technology, Université Paris-Est, 36-37 Rue Charpak, F-77567 Lieusaint, France
Hurtard L: LISSI Laboratory EA 3956, Campus de Senart, Senart-FB Institute of Technology, Université Paris-Est, 36-37 Rue Charpak, F-77567 Lieusaint, France
Journal Name
Energies
Volume
14
Issue
4
First Page
998
Year
2021
Publication Date
2021-02-14
Published Version
ISSN
1996-1073
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PII: en14040998, Publication Type: Journal Article
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LAPSE:2023.29672
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doi:10.3390/en14040998
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Apr 13, 2023
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