Literatura académica sobre el tema "Énergies renouvelables – Production – Contrôle"
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Artículos de revistas sobre el tema "Énergies renouvelables – Production – Contrôle"
Hassaine, Linda, Issam Abadlia, Antar Beddar, Fateh Abdoune y Mohamed Rida Bengourina. "Contrôle Avancé des Onduleurs Photovoltaïques Connectés au Réseau". Journal of Renewable Energies 24, n.º 2 (31 de diciembre de 2021): 181–201. http://dx.doi.org/10.54966/jreen.v24i2.980.
Texto completoBabarit, Aurélien, Grégory Pinon, Jean-Luc Achard y Christophe Corre. "Énergies océaniques". Reflets de la physique, n.º 77 (febrero de 2024): 86–91. http://dx.doi.org/10.1051/refdp/202477086.
Texto completoBoisredon, Hubert y Pascal Lefebvre. "Armor Group, la réinvention au pas de course d’une entreprise centenaire". Le journal de l'école de Paris du management N° 163, n.º 5 (21 de septiembre de 2023): 16–23. http://dx.doi.org/10.3917/jepam.163.0016.
Texto completoP. Coutansais, Cyrille. "Le bel avenir des énergies marines renouvelables". Études Juin, n.º 6 (20 de mayo de 2019): 17–26. http://dx.doi.org/10.3917/etu.4261.0017.
Texto completoKoné, Moussa, Fadaba Danioko, Mamadou Dansoko, Sid-Ali Addouche, David Tchoffa y Abderrhaman El-Mhamedi. "Evaluation du potentiel de production du biogaz emanant des dechets organiques : cas de Bamako". Journal de Physique de la SOAPHYS 2, n.º 2 (12 de mayo de 2021): C20A24–1—C20A24–6. http://dx.doi.org/10.46411/jpsoaphys.2020.02.24.
Texto completoPain, Éric y Claude Guérin. "Au sein de la filière énergies en Normandie, un an du cluster solaire". Études Normandes 4, n.º 1 (2017): 38. http://dx.doi.org/10.3406/etnor.2017.3620.
Texto completoPercebois, Jacques y Stanislas Pommeret. "Les nouveaux défis de la politique énergétique française". Reflets de la physique, n.º 77 (febrero de 2024): 30–35. http://dx.doi.org/10.1051/refdp/202477030.
Texto completoAráoz, Horacio Machado, Aimée Martínez Vega, Leonardo Rossi y Christophe David. "La transition énergétique, une menace pour les communautés rurales. L’extraction du lithium dans le Bolsón de Fiambalá (Province de Catamarca, Argentine)". Écologie & politique N° 68, n.º 1 (3 de mayo de 2024): 63–70. http://dx.doi.org/10.3917/ecopo1.068.0063.
Texto completoVerbecke, Alban. "L’énergie nucléaire : un moteur pour la Normandie". Études Normandes 4, n.º 1 (2017): 11–14. http://dx.doi.org/10.3406/etnor.2017.3613.
Texto completoHa-Duong, Minh. "Vietnam at the dawn of its energy transition". Mondes en développement 205, n.º 1 (12 de abril de 2024): 115–36. http://dx.doi.org/10.3917/med.205.0115.
Texto completoTesis sobre el tema "Énergies renouvelables – Production – Contrôle"
Kébé, Abdoulaye. "Contribution au pré dimensionnement et au contrôle des unités de production d'énergie électrique en site isolé à partir des énergies renouvelables : Application au cas du Sénégal". Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00925530.
Texto completoKébé, Abdoulaye. "Contribution au pré dimensionnement et au contrôle des unités de production d’énergie électrique en site isolé à partir des énergies renouvelables : Application au cas du Sénégal". Thesis, Paris 11, 2013. http://www.theses.fr/2013PA112281/document.
Texto completoThe energy crisis characterized by the oil products price rising and the imperatives of sustainable development do that renewable energies are an alternative today witch attract the interest of several research teams. Senegal, sub-Saharan country, not oil producer is not spared by this crisis. The consequence of this is a low coverage of the country (especially rural areas) by the national grid. For solving this, the new orientation of the energy policy focuses on the use of renewable energy particularly solar and wind.The main objective of this thesis is to identify a methodology of design of an isolated site of electrical energy production from alternative energies It is consists on, from site characteristics (energy resources, energy requirements):- to develop an approach that allows the choice of network architecture and sizing optimally all components of the network (machines, sources and storage devices) taking into account all the constraints- to design a device for controlling components and managing the energy flowsThis thesis contains three chapters:- Chapter 1 - poses the problem of energy in Senegal. The institutional organization of the electricity sub-sector and the ongoing projects are presented. Also, a study of micro- architectures networks is made.- Chapter 2 deals with tools and software. A comparative study of the main software of analysis, design and simulation of micro- network is realized. The components of our system have been modeled. Optimization methods and tools for graphical representation (Bond Graph, GIC and EMR) systems were presented. A survey and a literature review allowed us to evaluate the energy potential of the site and the needs of populations.- Chapter 3: This is the application of our tool on an isolated site identified in Senegal (MBoro / Mer). Optimization through the Annualized Cost of the System (ACS) objective function has allowed us to scale our system optimally. As the control system with Energetic Macroscopic Representation (EMR) has been designed.For further work should be considered a treatment of problems of availability of the system through monitoring and supervision of the system. The socio- economic component is also integrated in the future to meet the changing needs and habits of the population
Marzougui, Taher. "Réduction du coût énergétique d'un réseau d'irrigation agricole : optimisation de la facture, diagnostic de fuites et production énergétique locale à base des énergies renouvelables". Electronic Thesis or Diss., Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0742.
Texto completoWater is abundant on earth, however, it is not evenly distributed on the globe. Thus, water distribution systems have been designed to meet different needs. In this context, to make fertile lands above the source, irrigation networks were implemented by operating pumping systems. However, pressurized networks are a source of huge energy expenditures and water losses that represent important economic issues. This is a major challenge for optimizing energy expenditure. The present thesis aims to analyze the energy cost of an irrigation network with application to the Carpentras canal.The objective of this work is to minimize the energy expenditure of the network. To do so, three approaches have been explored. Firstly, a study focused on the optimization of electricity contracts from an administrative point of view. The aim was to propose a methodology to optimize the cost of the electricity bill by acting on elements chosen by the operator. Secondly, a methodology for the detection and localization of possible leaks, in the irrigation network, is proposed. This method is based on the analysis of the circulation of water. Finally, a part was dedicated to the sizing of an energy production system based on the use of renewable sources
Ba, Mouhamadou Moustapha. "Système communicant pour le contrôle et la supervision prédictive de la co-production d’énergie photovoltaïque et éolienne". Electronic Thesis or Diss., Université de Lorraine, 2019. http://docnum.univ-lorraine.fr/ulprive/DDOC_T_2019_0226_BA.pdf.
Texto completoThe modeling, management and optimization of renewable energy production systems is currently a challenge to develop the smart city concept. The goal of this thesis is to develop an intelligent and autonomous management system for the control and predictive supervision of the co-production of renewable energies based on smart networked sensors where the optimization is one problematic integration. From experimental measurements, we prove that it is possible to optimally self-manage the electricity production of renewable energy installations according to a combined or superposed approach of predictive models where experimental measurements allowed to refine them. Particularly, we show the useful of the proposed approach for the photovoltaic and wind turbine installations in an urban zone according to real physical parameter measurements (temperature, humidity, etc.). More precisely, this work proposes one predictive model based on the Weibull function of the power production of polycristallins and amorphous PV systems, and one 2,4 kW micro-wind system in a specific urban zone. The proposed method is has been reinforced by the statistical analysis of real measured data by using the Dickey-Fuller (DF), Goldfeld & Quandt (GQ), Durbin Watson (DW) tests and the Engle & Granger’s method. This work has shown the relevance and originality of the models developed for the reliable prediction of energy production from experimental measurements under real conditions and obtained from the GREEN platform. In addition to modeling aspects, this work has also show that it possible to implement technological solutions based on communicating sensors for the collect of physical parameters under real-time supervision IHM given the real time photovoltaic and micro-wind power productions
Père, Valentin. "Contributions au contrôle et au dimensionnement des micro-réseaux par apprentissage par renforcement : application aux systèmes avec production renouvelable et stockage hybride batterie-hydrogène". Electronic Thesis or Diss., Ecole nationale des Mines d'Albi-Carmaux, 2023. http://www.theses.fr/2023EMAC0018.
Texto completoCombining photovoltaic panels with an electrochemical battery reduces the daily phase difference between electricity production and demand in a microgrid. For long-term electricity storage, the combined use of an electrolyzer, hydrogen storage and a fuel cell offers the possibility of conserving electricity produced in summer to meet increased winter demand. Optimal real-time control of microgrid storage units is hampered by random data and the non-linear dynamic behavior of the units over long time horizons. This work presents a methodology for sizing and controlling a microgrid comprising photovoltaic electricity production, a lithium-ion battery and hydrogen storage, based on economic, environmental and technical objectives. The sizing of the units in a microgrid establishes their constraints of use, while the criteria to be optimized for its sizing (such as the cost of energy, the rate of self-consumption, the probability of breakdowns) depend on the management of these units. This interdependence justifies the development of a sizing methodology coupled with long-term energy management algorithm. The management of a microgrid is influenced by random variables such as demand and the energy produced at any given time. Reinforcement learning is a sequential decision-making methodology based on a dynamic model of the system that can adapt its strategy to random data. As a first step, a reinforcement learning control methodology is adopted by integrating non-linearities such as the aging of the storage system. Reinforcement learning enabled the energy management system to maintain an effective unit control policy with respect to the targeted criteria. This effectiveness is maintained despite different data and a longer time horizon than those on which the model was built. The control strategies developed suggest that the advantages of long-term electricity storage depend on the characteristics of the microgrid, and in particular on the amplitude of demand and the capacity of the battery. The study shows that a compromise must be found between the economic profitability of the microgrid and the guarantee of its autonomy. A bi-level optimization method is developed to achieve optimal unit sizing and energy management. The control of the microgrid by reinforcement learning forms the inner loop, while unit sizing is carried out using a simulated-annealing algorithm in the main loop. Particular attention is paid to minimizing computing time, by developing a method for transferring control policy from one iteration of the main loop to another. Offline reinforcement learning has been used to learn unit control strategies without random interaction with the microgrid simulation. The strategies are learned by observing the control decisions made by a model trained on other sizing in previous iterations. The calculation time is reduces by over 50% and the quality of the control policy learned is not affected. The results are analyzed in regard to the objectives considered, the control strategy and the data incorporated into the microgrid simulation
Marzougui, Taher. "Réduction du coût énergétique d'un réseau d'irrigation agricole : optimisation de la facture, diagnostic de fuites et production énergétique locale à base des énergies renouvelables". Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0742/document.
Texto completoWater is abundant on earth, however, it is not evenly distributed on the globe. Thus, water distribution systems have been designed to meet different needs. In this context, to make fertile lands above the source, irrigation networks were implemented by operating pumping systems. However, pressurized networks are a source of huge energy expenditures and water losses that represent important economic issues. This is a major challenge for optimizing energy expenditure. The present thesis aims to analyze the energy cost of an irrigation network with application to the Carpentras canal.The objective of this work is to minimize the energy expenditure of the network. To do so, three approaches have been explored. Firstly, a study focused on the optimization of electricity contracts from an administrative point of view. The aim was to propose a methodology to optimize the cost of the electricity bill by acting on elements chosen by the operator. Secondly, a methodology for the detection and localization of possible leaks, in the irrigation network, is proposed. This method is based on the analysis of the circulation of water. Finally, a part was dedicated to the sizing of an energy production system based on the use of renewable sources
Vergnol, Arnaud. "Intégration dans le réseau électrique et le marché de l’électricité de production décentralisée d’origine renouvelable : gestion des congestions locales". Thesis, Ecole centrale de Lille, 2010. http://www.theses.fr/2010ECLI0014/document.
Texto completoDevelopment of wind generation is a mean towards global warming reduction. However, in some parts of the electrical grid, the massive integration of renewable generation can lead to congestion problems. These congestions are related to the impossibility for the power grid to transport the generation. Nowadays, congestion management methods are based on day(s)-ahead computation of generation restriction which leads to important production losses for renewables. Based on this context, it’s therefore important to develop a methodology which is optimal, reliable and non-discriminatory for renewable.In this work, the proposed congestion management method is based on corrective actions. These actions are computed in real-time using regulation loops and Petri net-based algorithms. A stability study proved that gain margins are sufficient to assure the stability of the corrective actions. The algorithm allows an optimal selection of the generators than will participate in the congestion management. This selection is based on their cost and efficiency for congestion alleviation. Simulation results using the software EUROSTAG have shown the efficiency of the method and its adaptability to different generator types. Furthermore, general conclusions on congestions costs according to different regulations on the renewable generation were obtained
Sa'ad, Aisha. "Developing integrated maintenance strategies for renewable energy sources based on analytical methods and artificial intelligence (AI) : comparisons and case study". Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0080.
Texto completoThe development of renewable energy, especially solar and wind energy, over the recent years has gained global attention as an alternative method of generating energy experiencing exceptional growth in its production. In The Global Energy report, global solar energy is expected to have reached a cumulative capacity of 1TW while the wind energy is expected to have multiplied up to 3 to 4 times from mega production in the year 2020. This increase in the solar and wind power implies very significant financial investments. However, with this huge investment potential and significant increase in generation capacity, there is an additional, often overlooked responsibility: managing the power plants to ensure the lowest total life cycle cost (Life Cycle Cost). Like any standard production system, renewable energy (solar and wind energy in our case) generation components are subject to random failure, which interrupts production and supply of demand. Maintenance is identified as a major cause of accidents, lack of technical know-how of an equipment and the absence of a good maintenance routine plan. As part of the efforts to improve the efficiency and performance of renewable energy power plants, we propose models to optimize the power production and maintenance of our selected case studies (Sokoto solar plant and Katsina wind farm). In this regard, we developed new integrated maintenance policies integrated with production of the energy production from solar and wind energy systems. The preventive maintenance strategy adopted in this thesis is perfect maintenance strategy on the selected components for maintenance and an imperfect selective maintenance on the system (solar PV and wind turbine). Battery shortage in case of under-production and maintenance losses are challenges considered in this study. The methodology we developed entails solving the problem of energy production and maintenance optimization by using the theoretical method as well as machine learning method (ANN and SVM) in order to satisfy a random demand of energy during a finite horizon. We also studied the influence of environmental and operational condition of the systems and then validated the models by numerical examples and sensitivity studies proving the robustness of the developed models
Poulet, Philippe. "Contrôle d’un système énergétique hybride à base de pompe à chaleur". Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4392.
Texto completoThis thesis is a contribution to the problem of control and management of energy within the heat-pump-based hybrid systems with variable input power. After a state of the art on energy systems and heat pump, a presentation of experimental tools, designed and operated throughout the thesis is given. The third part consists of the physical modeling of the heat pump. This is the central component used for the control of the hybrid system. Then, the control strategy is described and validated through the simulation results and the experiments. The last part is dedicated to the energy management of hybrid system. Specifically, an algorithm to optimize the energy produced is proposed and validated on representative sites in France ; the study-case of this work
Sainvil, Watson. "Contrôle optimal et application aux énergies renouvelables". Electronic Thesis or Diss., Antilles, 2023. http://www.theses.fr/2023ANTI0894.
Texto completoToday, electricity is the easiest form of energy to exploit in the world. However, producing it from fossil sources such as oil, coal, natural gas,…, is the main cause of global warming by emitting a massive amount of greenhouse gases into nature. We need an alternative and fast! The almost daily sunshine and the important quantity of wind should favor the development of renewable energies.In this thesis, the main objective is to apply the optimal control theory to renewable energies in order to convince decision makers to switch to them through mathematical studies. First, we develop a deterministic case based on what has already been done in the transition from fossil fuels to renewable energies in which we formulate two case studies. The first one deals with an optimal control probleminvolving the transition from oil to solar energy. The second deals with an optimal control problem involving the transition from oil to solar and wind energies.Then, we develop a stochastic part in which we treat a stochastic control problem whose objective is to take into account the random aspect of the production of solar energy since we cannot guarantee sufficient daily sunshine
Libros sobre el tema "Énergies renouvelables – Production – Contrôle"
Canada. Office national de l'énergie, ed. Technologies émergentes en production d'électricité. Calgary, Alta: Office national de l'énergie, 2006.
Buscar texto completoRenewable energy applications for freshwater production. Boca Raton: CRC Press, 2012.
Buscar texto completoFuel production from non-food biomass: Corn stover. Oakville, ON Canada: Apple Academic Press, 2015.
Buscar texto completoT, Simmons Randy y Steed Brian C, eds. Green vs. green: The political, legal, and administrative pitfalls facing green energy production. New York: Routledge, 2012.
Buscar texto completoGodfrey, Boyle, ed. Renewable electricity and the grid: The challenge of variability. London: Earthscan, 2007.
Buscar texto completoGreener energy systems: Energy production technologies with minimum environmental impact. Boca Raton, FL: CRC Press, 2012.
Buscar texto completoLarge energy storage systems handbook. Boca Raton, FL: CRC Press, 2011.
Buscar texto completoKicking the carbon habit: Global warming and the case for renewable and nuclear energy. New York: Columbia University Press, 2006.
Buscar texto completoL'après-pétrole: Lorsque les puits seront à sec. [Paris]: Larousse, 2006.
Buscar texto completoC, Onar Omer, ed. Energy harvesting: Solar, wind, and ocean energy conversion systems. Boca Raton: Taylor & Francis, 2010.
Buscar texto completoInformes sobre el tema "Énergies renouvelables – Production – Contrôle"
Fontecave, Marc y Candel Sébastien. Quelles perspectives énergétiques pour la biomasse ? Académie des sciences, enero de 2024. http://dx.doi.org/10.62686/1.
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