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Rozprawy doktorskie na temat "Mathématiques – Consommation d'énergie"
Ligeret, Christophe. "Réduction de la consommation électrique du contrôle-commande des machines automatisées". Rennes 1, 2010. https://tel.archives-ouvertes.fr/tel-00555655.
Pełny tekst źródłaThis thesis presents an analysis of energy consumption of control systems of automated machines. The main objective is to reduce energy consumption of control part. In this document, we present notions related with control systems and we develop methods and an energy consumption simulator which is an analysis tool of energy consumption. Thus, we make an analysis according 3 axes: energy consumption of each control part, consumption of control systems according to choice of components and consumption according to operating modes. So this work proposes an energy consumption methodology and makes it possible to show that energy consumption of control systems is often low with respect to energy consumed by actuators. However, it is possible to reduce by 2 energy consumption of control
Royer, Sullivan. "Modélisation de bâtiments et de leurs zones thermiques : vers une procédure générique". Perpignan, 2014. http://www.theses.fr/2014PERP1253.
Pełny tekst źródłaHamzaoui, Khalil Ibrahim. "Contribution à la modélisation de la consommation d'énergie dans un dispositif mobile". Thesis, Lille 1, 2018. http://www.theses.fr/2018LIL1I030/document.
Pełny tekst źródłaThe main goal of this thesis is to model the power consumption of a particular application running on a mobile device. We propose a model of energy behavior monitoring, we also describe a methodology to identify the parameters of the model. To this end, we analyzed a collection of experimental data collected during my tour de France in an electric wheelchair. We applied statistical tools to obtain the parameters of the model. Finally, we validate the model by comparing the results with other experimental data.The first case study compares the evolution of the energy cost in the mobile environments of the different components of smartphones based on several energy models.- The second case study deals with the evaluation, the measurements of the energy cost consumed and the problems encountered in the methods used for the evaluation of energy consumption. For a better evaluation, the case study of energy behavior was introduced using the virtual machines.- The third case study is based on the treatment of the results of the measurements obtained during my tour of France in a connected electric wheelchair. The goal is to anticipate resource management, realizing measurements, and then tracking energy behavior in a real and diverse environment. The model can be used to define an optimal frequency in terms of energy consumption for specific situations without degrading the quality of service desired by the user
Zaraket, Toufic. "Stochastic activity-based approach of occupant-related energy consumption in residential buildings". Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2014. http://www.theses.fr/2014ECAP0033/document.
Pełny tekst źródłaRésumé en Anglais : The building sector is considered as a major energy consumer and pollution source among all economic sectors. It accounts for important shares, ranging between 16 and 50 percent, of national energy consumption worldwide. Reducing these consumptions and emissions is thus an important step towards sustainable development. Recently, the shift towards constructing low-consuming and nearly zero-energy buildings lead to further requirements with regard to performance and sustainability, and thus caused the design process of buildings to be more complex. Occupants’ behavior is now considered as a key determinant of building’s energy performance especially in the case of green buildings. Yet, energy simulation tools used in buildings industry nowadays are not capable of providing accurate estimations of occupant-related energy demands. Therefore, buildings and energy experts are devoting considerable efforts on developing more precise methods for modeling and forecasting occupants influence on whole building performance. Such models can provide accurate energy estimates and can assess future consumption variability. Consequently, building experts may improve their technical solutions, ameliorate their service performances, and promote targeted incentives. The objective of this dissertation is to propose a model for forecasting occupant-related energy consumption in residential buildings, while accounting for variability in consumption patterns due to diversity in occupants’ socio-demographic and economic profiles. A stochastic activity-based approach is thus adopted. By activity-based, it means that energy consumption of a household is estimated by summing up the energy use of different activities performed (such as cooking, washing clothes, etc.). The stochastic nature of the model is due to the probabilistic mapping established between household attributes from one side (household type, number of occupants, etc.) and the corresponding appliance ownership, appliance characteristics and power rating, and activity quantities from the other side. In order to establish these stochastic relations, a fairly sufficient number of households’ characterizing attributes is taken into account. The proposed model is applied for two domestic activities, namely watching TV and washing laundry. Three types of Monte Carlo simulations are performed to provide energy estimates for these two activities: for a given specified household, for randomly generated households with constraints, and for totally random population-wise households. A comparison between model’s simulation results and real measured energy consumption data enables validating the model for the two considered activities. A generalization framework of the modeling approach for other domestic activities is sketched, and its possible integration into buildings design process is discussed and illustrated through a number of examples
Wu, David. "Modèles d’optimisation pour la gestion de consommation d’énergie multi-flux". Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS221.
Pełny tekst źródłaThe large-scale automated collection of energy consumption data raises new optimization problems. The issue addressed in this thesis is to propose solutions for modeling and solving optimization models for multi-stream energy consumption management. The consumption data are represented as a time series.We first develop deterministic and robust models for the optimization of electricity contracting. This problem is formulated as the minimization of a convex objective function under special structure constraints (order constraints); it is solved by a new efficient algorithm that considerably reduces the computational effort, in the presence of a large amount of data, needed to evaluate the objective function. We then present deterministic and robust models around the optimal management of water networks using an automated strategy based on the use of trigger levels. We also show that the problem can be reduced to smaller daily problems without losing too much accuracy. Numerical results are presented and reveal the possibility of strong savings in the different energy systems studied
Alves, da Silva Lucas. "Estimation de la consommation d'énergie et du taux d'erreur bit d'un système Bluetooth LE basée sur la modélisation hiérarchique d'un amplificateur de puissance à 2,4 GHz". Nice, 2011. http://www.theses.fr/2011NICE4103.
Pełny tekst źródłaThe different results presented in this thesis focus on considering the energy consumption, during the development of hierarchical models for the design and verification of complex electronic systems. A wireless communication system was developed, complying to the Bluetooth Low-Energy (B-LE) standard, to estimate the whole system’s energy consumption, during the development phases. Initially, the energetic behaviour of the digital segment was studied, following the virtual prototyping approach. At the network level, an analysis of the different scan and advertisement strategies could be conducted, considering the device’s average power consumption as the optimization factor. Following, the radio transceiver’s modelling, using behavioural blocks, allows the estimation of the whole system’s energy consumption, as well as its influence over the system’s bit-error rate (BER). Finally the design of a power amplifier is presented, starting with its specification, through the architectural exploration and choice, until the circuit’s design and tape-out. Two methods are then proposed for the extraction of the power consumption, leading to refined accurate behavioural models, with minimal increase in simulation times
Djeema, Ahcene. "Modélisation Bottom-Up, un outil d’aide à la décision long terme pour les mesures politiques en matière d’énergie et d’environnement : le modèle TIMES appliqué aux industries grandes consommatrices d’énergie". Paris, ENMP, 2009. http://pastel.paristech.org/5303/01/Thèse_ADjemaa.pdf.
Pełny tekst źródłaAmong the energy users in France and Europe, some industrial sectors are very important and should have a key role when assessing the final energy demand patterns in the future. The aim of our work is to apply a prospective model for the long range analysis of energy/technology choices in the industrial sector, focussing on the energy-intensive sectors. The modelling tool applied in this study is the TIMES model (family of best known MARKAL model). It is an economic linear programming model generator for local, national or multi regional energy systems, which provides a technology-rich basis for estimating energy dynamics over a long term, multi period time. We illustrate our work with nine energy-intensive industrial sectors: paper, steel, glass, cement, lime, tiles, brick, ceramics and plaster. It includes a detailed description of the processes involved in the production of industrial products, providing typical energy uses in each process step. In our analysis, we identified for each industry, several commercially available state-of-the-art technologies, characterized and chosen by the Model on the basis of cost effectiveness. Furthermore, we calculated potential energy savings, carbon dioxide emissions' reduction and we estimated the energy impact of a technological rupture. This work indicates that there still exists a significant potential for energy savings and carbon dioxide emissions' reduction in all industries
Castagnetti, Andrea. "Étude de la gestion de l'autonomie en énergie d'objets communicants sans fil". Nice, 2012. http://www.theses.fr/2012NICE4059.
Pełny tekst źródłaWireless Sensor Networks are composed of nodes equipped with a computational unit, sensors and a radio transceiver. Energy consumption is a major challenge in the WSN domain, and energy efficient solutions are required because the nodes carry a limited amount of power. Energy harvesting technologies can be used to scavenge energy from the environment, thus prolonging the lifespan of a WSN node. The goal of this thesis is on power management techniques
Allibe, Benoit. "Modélisation des consommations d'énergie du secteur résidentiel français : amélioration du réalisme comportemental et scénarios volontaristes". Phd thesis, Paris, EHESS, 2012. https://tel.archives-ouvertes.fr/tel-00872403.
Pełny tekst źródłaLong term modelling of residential energy consumption is most often realised by two kinds of models : engineering and economic. The former have the ability to precisely depict the energy demand infrastructure in a technical way but generally lack a necessary level of realism concerning households' behaviours when facing changes of economical context. The research undertaken during this thesis explains how elements of behavioural realism have been implemented in an engineering model of housing space heating consumption in order to combine both technical explicitness and behavioural realism. Results highlight the elasticity of space heating consumption with respect to a number of variables including technical performance, allowing the estimation of the rebound effect phenomenon at a national scale. The second part of the research is dedicated to the techno-economic modelling of households' energy efficient equipment investments. The results obtained from the model enabled the quantification of energy efficiency barriers concerning the main types of housing refurbishment and heating systems. Other results depict how market heterogeneity can be introduced in techno-economic models. These elements were implemented into a prospective model (BEUS), wich was developed during the thesis. Simulation results show that the increase of behavioural realism of engineering models makes it even more difficult to reach mid- and long-term national energy and climate policies targets. Finally, a discussion is proposed on the topic of energy tier-pricing and its fiscal equivalent - a bonus-malus on energy consumption - based on BEUS results
Jaunâtre, Kévin. "Analyse et modélisation statistique de données de consommation électrique". Thesis, Lorient, 2019. http://www.theses.fr/2019LORIS520.
Pełny tekst źródłaIn October 2014, the French Environment & Energy Management Agency with the ENEDIS company started a research project named SOLENN ("SOLidarité ENergie iNovation") with multiple objectives such as the study of the control of the electric consumption by following the households and to secure the electric supply. The SOLENN project was lead by the ADEME and took place in Lorient, France. The main goal of this project is to improve the knowledge of the households concerning the saving of electric energy. In this context, we describe a method to estimate extreme quantiles and probabilites of rare events which is implemented in a R package. Then, we propose an extension of the famous Cox's proportional hazards model which allows the etimation of the probabilites of rare events. Finally, we give an application of some statistics models developped in this document on electric consumption data sets which were useful for the SOLENN project. A first application is linked to the electric constraint program directed by ENEDIS in order to secure the electric network. The houses are under a reduction of their maximal power for a short period of time. The goal is to study how the household behaves during this period of time. A second application concern the utilisation of the multiple regression model to study the effect of individuals visits on the electric consumption. The goal is to study the impact on the electric consumption for the week or the month following a visit
Książki na temat "Mathématiques – Consommation d'énergie"
Ontario. Esquisse de cours 12e année: Géométrie et mathématiques discrètes mga4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Znajdź pełny tekst źródłaOntario. Esquisse de cours 12e année: Mathématiques de la vie courante mel4e cours préemploi. Vanier, Ont: CFORP, 2002.
Znajdź pełny tekst źródłaOntario. Esquisse de cours 12e année: Mathématiques de la technologie au collège mct4c cours précollégial. Vanier, Ont: CFORP, 2002.
Znajdź pełny tekst źródłaOntario. Esquisse de cours 12e année: Mathématiques de la gestion des données mdm4u cours préuniversitaire. Vanier, Ont: CFORP, 2002.
Znajdź pełny tekst źródłaDunning, Scott, i Larry S. Katz. Energy Calculations and Problem Solving Sourcebook: A Practical Guide for the Certified Energy Manager Exam. River Publishers, 2020.
Znajdź pełny tekst źródłaEnergy Calculations and Problem Solving Sourcebook: A Practical Guide for the Certified Energy Manager Exam. Taylor & Francis Group, 2017.
Znajdź pełny tekst źródłaDunning, Scott, i Larry S. Katz. Energy Calculations and Problem Solving Sourcebook: A Practical Guide for the Certified Energy Manager Exam. River Publishers, 2020.
Znajdź pełny tekst źródłaDunning, Scott, i Larry S. Katz. Energy Calculations and Problem Solving Sourcebook: A Practical Guide for the Certified Energy Manager Exam. River Publishers, 2020.
Znajdź pełny tekst źródłaDunning, Scott, i Larry S. Katz. Energy Calculations and Problem Solving Sourcebook: A Practical Guide for the Certified Energy Manager Exam. River Publishers, 2020.
Znajdź pełny tekst źródłaDunning, Scott, i Larry S. Katz. Energy Calculations and Problem Solving Sourcebook: A Practical Guide for the Certified Energy Manager Exam. River Publishers, 2020.
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