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Conference papers

Building Energy Optimization with MPC Controller

Abstract : The energy consumption of buildings has become an issue of concern in recent years and a challenge for many researchers worldwide. One of the solutions to this problem is the optimal control of Heating, ventilation, and air conditioning (HVAC) systems. According to our results, optimal control can save more than 34% of energy. In this paper, a model predictive control (MPC) that is able to consider the weather and human factors have been deployed and compared to an ON-OFF controller. The MPC controller was able to optimize energy consumption, ensure maximum comfort, and, above all, good the conservation of HVAC equipment by optimizing the system’s use.
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https://hal.univ-lorraine.fr/hal-03560905
Contributor : Kondo Adjallah Connect in order to contact the contributor
Submitted on : Monday, February 7, 2022 - 7:23:32 PM
Last modification on : Sunday, March 27, 2022 - 4:44:02 PM

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Yanis Masdoua, Moussa Boukhnifer, Kondo Hloindo Adjallah. Building Energy Optimization with MPC Controller. 2021 25th International Conference on System Theory, Control and Computing (ICSTCC), Oct 2021, Iasi, Romania. pp.119-125, ⟨10.1109/ICSTCC52150.2021.9607246⟩. ⟨hal-03560905⟩

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