Academic literature on the topic 'Transition énergétique – Batteries'
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Journal articles on the topic "Transition énergétique – Batteries"
Perdu, Fabien. "Quelle place pour les batteries dans une transition bas carbone ?" Reflets de la physique, no. 77 (February 2024): 122–28. http://dx.doi.org/10.1051/refdp/202477122.
Full textGrand, Dominique, Christian Le Brun, André Latrobe, and Roland Vidil. "Dans quelles conditions fonctionnerait le mix électrique prévu pour la France par la loi sur la transition énergétique ?" Reflets de la physique, no. 77 (February 2024): 116–21. http://dx.doi.org/10.1051/refdp/202477116.
Full textForget, Marie, and Vincent Bos. "Verdir l’extraction : la « récolte » du soleil et du lithium dans les Andes." Écologie & politique N° 68, no. 1 (May 3, 2024): 71–86. http://dx.doi.org/10.3917/ecopo1.068.0071.
Full textBakhache, Nathalie, and Charles Dubois. "La SLN en Nouvelle-Calédonie vise la production d’un nickel moins carboné." Annales des Mines - Réalités industrielles Août 2023, no. 3 (August 4, 2023): 41–46. http://dx.doi.org/10.3917/rindu1.233.0041.
Full textSchaible, Christian. "Vision du Bureau européen de l’Environnement pour la révision de la directive IED." Annales des Mines - Responsabilité et environnement N° 114, no. 2 (April 10, 2024): 39–50. http://dx.doi.org/10.3917/re1.114.0039.
Full textGautier, Axel, and Julien Jacqmin. "Numéro 145 - mars 2019." Regards économiques, March 14, 2019. http://dx.doi.org/10.14428/regardseco/2019.03.14.01.
Full textGautier, Axel, and Julien Jacqmin. "Numéro 145 - mars 2019." Regards économiques, March 14, 2019. http://dx.doi.org/10.14428/regardseco2019.03.14.01.
Full textDissertations / Theses on the topic "Transition énergétique – Batteries"
Blondel, Pierre. "Estimation de l’état interne d’une batterie lithium-ion à l’aide d’un modèle électrochimique." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0008.
Full textDeveloped in the nineties, lithium batteries have colonized our environment in less than thirty years and they keep spreading faster and faster. Powerful, efficient, light and compact, this technology remains hazardous. In order to limit the danger and slow the aging of lithium cells, most of such batteries embed a management system. The latter needs to access some internal states, which are not directly measurable. This thesis intends to estimate these variables using a nonlinear observer, which is based on an electrochemical model. The behavior of the battery is driven by the transportation phenomenon of its main electrochemical species. We therefore built a finite dimensional electrochemical model of these adapted to estimation. It relies on the spatial discretization of the partial differential equations, which describe these transportation phenomena. It also formulates some assumptions, such as the fact that an electrode globally behaves like a single particle of its active material. The obtained state space model has affine dynamics and a nonlinear output. Among the existing observers for such systems that we are aware of, none can be applied directly to the developed model. Hence, we developed new ones whose stability is guaranteed provided a linear matrix inequality holds, which is used to construct the observation gain. We then confront these observers to experimental data acquired on commercialized batteries. The obtained results are encouraging and the observer seems to be a fair compromise between physical meaning and numerical complexity
Aït, Hamouda Sonia. "Algorithmes avancés d'enregistrement d'images pour les problèmes dynamiques." Electronic Thesis or Diss., Pau, 2024. http://www.theses.fr/2024PAUU3050.
Full textIn this thesis, we have explored some of the challenges related to the energy transition, with a particular focus on electricity storage in solid-state batteries. Although the introduction of this technology and the improvements in performance and safety over the traditional liquid electrolytes are considered revolutionary, recent research has revealed that thermal runaway could still occur. X-ray tomography enables to observe this phenomenon in three dimensions and over time. However, if we want to compare images at two different instants in time, before and after a certain number of charge and discharge cycles, conventional image registration methods do not provide a detailed understanding of the underlying physical phenomena. Within the scope of the current doctoral research project, we have developed an innovative solution to this problem. It involves transforming the image from one state to another based on a digital twin. To ensure that the digital twin is identical to its physical homologue, it is important to identity the dominant physical phenomena (in this case, thermo-elasticity) and describe them with mathematical expressions, then solve them by means of finite elements on the initial geometry obtained by X-ray tomography. This model is then completed with the physical properties of the materials, the initial conditions and the in-situ conditions surrounding the object under study. Furthermore, the model contains parameters that are a challenging to quantify in advance. In the case of battery cycling, it is necessary to find the quantity of heat generated by the electrochemical processes at an instant t that causes the same deformations as those observed in the real cell. This comparison is carried out by means of a Dense Optical Flow algorithm, where at each image resolution, an inverse problem is solved, yielding the sought heat source or sink. Once this digital twin had been developed, we evaluated its numerical capabilities. First, the algorithm was employed to analyze a sequence of synthetic images of cells deformed under the effect of a known heat source. Through various sensitivity studies, the robustness of the algorithm was demonstrated: the algorithm is capable to provide highly accurate results even for images of small size, low resolution and high levels of noise. Next, experimental validation of the method was carried out using a bimetal consisting of two materials with different thermal conductivities. This sample is immersed in a vessel whose temperature is controlled by means of a thermostatic bath. The vessel is set up inside a tomograph, enabling to acquire a sequence of X-ray images over time, effectively demonstrating the impact of temperature variations on the bimetal. Convincing findings showed that the digital twin of the bimetal generated images that were matching the real ones. Furthermore, the temperature field obtained was closely similar to the one recorded with the thermocouple. These results constitute an experimental validation of this physics-based image registration model. Digital twins have a higher computational cost than conventional registration algorithms. To address this problem, a non-uniform, adaptive mesh was implemented. The results obtained were highly satisfactory, effectively combining both accuracy and computation time savings. This development then enabled the algorithm to be applied to real three-dimensional images of the battery cell. Overall, the development of this algorithm offers a broad spectrum of promising applications, in particular the prediction of early indications of deformation in solid-state batteries.Keywords: Image registration, Solid-state batteries, X-ray imaging, Digital twin
Blondel, Pierre. "Estimation de l’état interne d’une batterie lithium-ion à l’aide d’un modèle électrochimique." Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0008/document.
Full textDeveloped in the nineties, lithium batteries have colonized our environment in less than thirty years and they keep spreading faster and faster. Powerful, efficient, light and compact, this technology remains hazardous. In order to limit the danger and slow the aging of lithium cells, most of such batteries embed a management system. The latter needs to access some internal states, which are not directly measurable. This thesis intends to estimate these variables using a nonlinear observer, which is based on an electrochemical model. The behavior of the battery is driven by the transportation phenomenon of its main electrochemical species. We therefore built a finite dimensional electrochemical model of these adapted to estimation. It relies on the spatial discretization of the partial differential equations, which describe these transportation phenomena. It also formulates some assumptions, such as the fact that an electrode globally behaves like a single particle of its active material. The obtained state space model has affine dynamics and a nonlinear output. Among the existing observers for such systems that we are aware of, none can be applied directly to the developed model. Hence, we developed new ones whose stability is guaranteed provided a linear matrix inequality holds, which is used to construct the observation gain. We then confront these observers to experimental data acquired on commercialized batteries. The obtained results are encouraging and the observer seems to be a fair compromise between physical meaning and numerical complexity
Villamar, Daniel. "Chemins énergétiques à long terme en Équateur : scénarios de transition pour le secteur des transports jusqu'en 2050." Electronic Thesis or Diss., Perpignan, 2023. http://www.theses.fr/2023PERP0014.
Full textThis thesis explores the use of mathematical models to support a low carbon energy transition for Ecuador. Afirst approach considers a least-cost linear optimisation to evaluate the expansion of energy and land-use sectors and the integrated model ELENA is used. It is combined with the dispatch model urbs to go further in the evaluation of electric system face to a massification of electric transport and it is also considered on the context of a synthesis study focused on the ecarbonization of the Buildings Sector. The secondmodelling approach uses concepts of game theory and specifically of Single-Leader-Multi-Follower (SLMF) models. An implementation of the SLMF model is done for freight transport to capture the effect of a carbon tax in the transition to cleaner vehicles. This work highlights the need to use multiple models in order to have a better idea of the interactions and measures to be put in place to support the energy transition. Although the study is carried out for Ecuador, the methodologies are of general applicability
Conference papers on the topic "Transition énergétique – Batteries"
Lagarde, Quentin, Serge Mazen, Bruno Beillard, Julien Leylavergne, Joel Andrieu, Jean-Pierre Cancès, Vahid Meghdadi, Michelle Lalande, Edson Martinod, and Marie-Sandrine Denis. "Étude et conception de système de management pour batteries innovantes, Batterie Sodium (NA-ion)." In Les journées de l'interdisciplinarité 2022. Limoges: Université de Limoges, 2022. http://dx.doi.org/10.25965/lji.581.
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