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Développement d’une méthode d’auto-paramétrage auto-adaptatif pour une pompe à chaleur en vue d’un fonctionnement optimisé

Abstract : Setting control parameters of residential double service heat pumps at the time of installation and commissioning is a delicate matter. Indeed, some parameters are not trivial, there are many to be adjusted and the heat pump operations are quite sensitive to the parameters' values. Poor parameterization can lead to suboptimal heat pump operation or even to important dysfunction (harming thermal comfort).Hence, this thesis aims to develop a method for the heat pump to self-adapt the value of its control parameters. The heat pump should modify if required the "default" settings in order to adapt them to the heat emitters, to the building thermal response and to the occupancy (in terms of thermal comfort and DHW needs). For industrial reasons, this method should use on-board sensors.First, the thesis focuses on identifying the key parameters of the heat pump control, i.e. those with greatest influence on the consumption. This leads to the functions which have to be optimized: heating curve adjustment, time of DHW generation, heating setback anticipation. The objective is to maximize the coefficient of performance and minimize the use of electrical back-ups while ensuring comfort. This is achieved by developing optimized control algorithms. Thanks to forecasts models, based on neural networks, we are able to predict on a short term horizon the building thermal response, the DHW availability and the heat pump performances. The developed models and algorithms have been validated through numerical simulations, and we have evaluated the heat pump performances in comparison to a classic control. The proposed solutions were applied and tested during a heating season on a real heat pump installed in a semi-virtual test bench (real weather and virtual building).
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Submitted on : Tuesday, January 4, 2022 - 2:19:18 PM
Last modification on : Friday, April 29, 2022 - 9:59:28 AM


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  • HAL Id : tel-03510177, version 1


Alberto Tejeda de La Cruz. Développement d’une méthode d’auto-paramétrage auto-adaptatif pour une pompe à chaleur en vue d’un fonctionnement optimisé. Génie des procédés. Université Paris sciences et lettres, 2016. Français. ⟨NNT : 2016PSLEM088⟩. ⟨tel-03510177⟩



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