Academic literature on the topic 'Estimation de parc éolien'
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Journal articles on the topic "Estimation de parc éolien":
Vallée, François, Christophe Versèle, Radouane Loughlimi, and Jacques Lobry. "Estimation analytique des émissions de gaz polluants d’un parc de production électrique de type thermique. Influence de l'aléa éolien et de contraintes opérationnelles." European Journal of Electrical Engineering 17, no. 1-2 (April 30, 2014): 73–94. http://dx.doi.org/10.3166/ejee.17.73-94.
Orange, Gérald. "Éolien en mer : projets prometteurs contre opposants «vent debout» !" Études Normandes 4, no. 1 (2017): 19–25. http://dx.doi.org/10.3406/etnor.2017.3615.
Nsouandélé, Jean Luc, Dieudonné Kidmo Kaoga, Stephane Mbang Djetouda, and Noël Djongyang. "Estimation statistique des données du vent à partir de la distribution de Weibull en vue d’une prédiction de la production de l’énergie électrique d’origine éolienne sur le Mont Tinguelin à Garoua dans le Nord Cameroun." Journal of Renewable Energies 19, no. 2 (January 9, 2024): 291–301. http://dx.doi.org/10.54966/jreen.v19i2.568.
Kimura, Atsushi, Shoji Nakamura, and Shunsuke Endo. "Uncertainty estimation in neutron TOF measurements with ANNRI." EPJ Web of Conferences 281 (2023): 00025. http://dx.doi.org/10.1051/epjconf/202328100025.
Pandey, Sanjeev, Ankur Singh, A. P. Dubey, T. K. Mishra, and Seema Kapoor. "Estimation of Biomarkers Chitotriosidase and CCL18/PARC in Gaucher Patients: Indian Experience." Indian Journal of Clinical Biochemistry 30, no. 4 (October 10, 2014): 435–39. http://dx.doi.org/10.1007/s12291-014-0466-9.
Yates, Stéphanie, and Myriam Arbour. "Le rôle des maires dans l’acceptabilité sociale des projets d’infrastructure : tension entre arbitrage et promotion1." Articles 35, no. 1 (March 24, 2016): 73–101. http://dx.doi.org/10.7202/1035793ar.
Coelho Nunes, Lucas Mateus, Juciene Trindade Amador, Murilo Emanoel Queiroz De Oliveira, Vitoria De Vasconcelos Monteiro, Marcelo José Raiol Souza, João Rodrigo Coimbra Nobre, and Eliane de Castro Coutinho. "Estimativa preliminar do potencial éolico em um ponto turístico na Amazônia Oriental." Peer Review 6, no. 6 (March 10, 2024): 135–48. http://dx.doi.org/10.53660/prw-1966-3627.
Durup de baleine, Antoine. "Énergies renouvelables Autorisation d'exploiter un parc éolien situé en haute mer, Cour administrative d'appel de Nantes, 5ème chambre, 15 mai 2017, Association PROSIMAR et autres, req. n° 16NT02321- Conclusions." Revue Juridique de l'Environnement 42, no. 3 (2017): 549–80. http://dx.doi.org/10.3406/rjenv.2017.7143.
Qin, Honglei, Peng Liu, Li Cong, and Xia Xue. "Ambiguity of Residual Constraint-Based Precise Point Positioning with Partial Ambiguity Resolution under No Real-Time Network Corrections Using Real Global Positioning System (GPS) Data." Sensors 20, no. 11 (June 5, 2020): 3220. http://dx.doi.org/10.3390/s20113220.
Yamamoto, Kazami, Junichiro Kamiya, Norio Ogiwara, Michikazu Kinsho, Naoki Hayashi, Ryuji Saeki, Kenichirou Satou, and Takeshi Toyama. "Estimation of secondary electron effect in the J-PARC rapid cycling synchrotron after first study." Applied Surface Science 256, no. 4 (November 2009): 958–61. http://dx.doi.org/10.1016/j.apsusc.2009.05.137.
Dissertations / Theses on the topic "Estimation de parc éolien":
Bezerra, Rufino Ferreira Paiva Eduardo. "Wind Velocity Estimation for Wind Farms." Electronic Thesis or Diss., Université Paris sciences et lettres, 2023. http://www.theses.fr/2023UPSLM046.
This thesis designs algorithms to estimate the wind speed and direction for wind turbines and wind farms.First, we propose data-based methods to estimate the Rotor Effective Wind Speed (REWS) for a single turbine without prior knowledge of certain physical parameters of the turbine that might be unknown to an operator.We provide two data-based methods, based respectively on Gaussian Process Regression (GPR) and on an combination of GPR with high-gain observers.Second, grounding on this REWS estimation at the local level of one turbine, we address the question of estimating the free-flow wind at the level of a wind farm.We start by focusing on wind speed estimation, for a given known wind direction. For a wind farm with a simple geometry, we prove that a local speed measurement disturbed by the presence of the turbines can be used to estimate the free-flow wind speed. We ground our estimation methodology on a simplified wake model, which consists of first-order hyperbolic partial differential equations, the transport speed of which is the free-flow wind speed. We propose to use an analytical solution of these equations, involving transport delays, to perform an estimate of the local measurement and to update the free-flow wind speed estimate. We formally prove the convergence of this estimate and numerically illustrate the efficiency of this method.Finally, we move to a more general setup where both the free-flow wind speed and direction are unknown. We propose to use a two-dimensional wake model and to rely on an optimization-based method. This identification problem reveals to be particularly challenging due to the appearance of transport delays, but we illustrate how to circumvent this issue by considering an average value of the free flow wind speed history. Simulation results obtained with the simulator FAST.Farm illustrate the interest of the proposed method
Dumortier, Baldwin. "Contrôle acoustique d'un parc éolien." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0131/document.
Currently, acoustic studies are required to set wind farms up. They must ensure the tranquility of the inhabitants around the farms in accordance with current regulations. For this purpose, acoustic measurements are made during a couple of weeks. When measuring, the wind turbines are periodically stopped in order to evaluate the difference between ambient noise levels (with the turbines on) and residual noise levels (with the turbines off). A curtailment plan is then computed and sent to the wind farm owner in order to set it up in the local turbine control system (SCADA). Currently, the curtailment plan roughly depends on the weather conditions and the time of the day which are allegedly correlated to the acoustic variables. In practice, it frequently leads to violations of the acoustic constraints or electrical power loss. This is because the acoustic conditions constantly and strongly evolve over time: the wind turbine noise level finely depends on the weather conditions and the residual noise level depends on all the other acoustic sources and has therefore a stochastic nature. The goal of the thesis is to design a principled real-time control algorithm for wind farms. To do so, we investigate the use of a black-box source separation system that estimates the residual noise level and the wind turbine noise level. We first provide a theoretical formulation of the problem by accounting for specific practical issues, by defining the variables of the problem and by binding these issues to the state of the art. Then, we propose two complete control solutions and run an experimental evaluation. The first solution is a deterministic algorithm based on a constrained combinatorial optimization algorithm, which is inspired by the current approach for controlling wind farms while exploiting the source separation system. Moreover, we present a study of its ability to fulfill the French acoustic constraints that are computed as temporal medians of the acoustic variables. The second solution is stochastic and based on a state-space model defined by means of Gaussian uncertainties. It features a nonlinear Kalman filter in order to fuse the uncertainties of the model and of the source separation system, an Expectation-Maximization algorithm that computes the uncertainties for a specific farm, and a robust variant of the deterministic algorithm that takes the estimated uncertainties into account when computing the optimal command
Dumortier, Baldwin. "Contrôle acoustique d'un parc éolien." Electronic Thesis or Diss., Université de Lorraine, 2018. http://www.theses.fr/2018LORR0131.
Currently, acoustic studies are required to set wind farms up. They must ensure the tranquility of the inhabitants around the farms in accordance with current regulations. For this purpose, acoustic measurements are made during a couple of weeks. When measuring, the wind turbines are periodically stopped in order to evaluate the difference between ambient noise levels (with the turbines on) and residual noise levels (with the turbines off). A curtailment plan is then computed and sent to the wind farm owner in order to set it up in the local turbine control system (SCADA). Currently, the curtailment plan roughly depends on the weather conditions and the time of the day which are allegedly correlated to the acoustic variables. In practice, it frequently leads to violations of the acoustic constraints or electrical power loss. This is because the acoustic conditions constantly and strongly evolve over time: the wind turbine noise level finely depends on the weather conditions and the residual noise level depends on all the other acoustic sources and has therefore a stochastic nature. The goal of the thesis is to design a principled real-time control algorithm for wind farms. To do so, we investigate the use of a black-box source separation system that estimates the residual noise level and the wind turbine noise level. We first provide a theoretical formulation of the problem by accounting for specific practical issues, by defining the variables of the problem and by binding these issues to the state of the art. Then, we propose two complete control solutions and run an experimental evaluation. The first solution is a deterministic algorithm based on a constrained combinatorial optimization algorithm, which is inspired by the current approach for controlling wind farms while exploiting the source separation system. Moreover, we present a study of its ability to fulfill the French acoustic constraints that are computed as temporal medians of the acoustic variables. The second solution is stochastic and based on a state-space model defined by means of Gaussian uncertainties. It features a nonlinear Kalman filter in order to fuse the uncertainties of the model and of the source separation system, an Expectation-Maximization algorithm that computes the uncertainties for a specific farm, and a robust variant of the deterministic algorithm that takes the estimated uncertainties into account when computing the optimal command
Leclerc, Christophe. "Simulation numérique de l'écoulement tridimensionnel turbulent dans un parc éolien." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0033/MQ38690.pdf.
Aimene, Merzak. "Services au système et gestion d'interactions énergétiques transitoires dans un parc éolien offshore." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0020/document.
The massive integration of intermittent production of wind energy in electrical networks creates an electrical system stability problem. Indeed, its characteristics are very different from those of conventional sources controlled by Grid managers. Therefore, the injection of this energy makes new challenges for power Grid operators. Moreover, the connection conditions are evolving and go towards the situations that all different sources participate into services of electrical systems. This thesis proposes a new nonlinear control strategy based on a « one loop flatness control » of a wind energy conversion system. This control strategy has aim of energy interactions management at the connection point through generation and tracking of reference trajectories. As all system variables are functions of the « flat output » of the system, this control provides fast response and good control in transient state. The application of this new control strategy into an offshore wind farm which is able to satisfy different connection conditions was simulated successfully. Specifically, effects of various grid faults on the proposed ancillary services (frequency and voltage regulation, and low-voltage ride through capabilities) were performed
Dabin, Nathalie. "Modélisation et optimisation de la production d'un grand parc éolien en climat nordique." Mémoire, École de technologie supérieure, 2008. http://espace.etsmtl.ca/153/1/DABIN_Nathalie.pdf.
Jourieh, Munif. "Développement d'un modèle représentatif d'une éolienne afin d'étudier l'implantation de plusieurs machines sur un parc éolien." Phd thesis, Paris, ENSAM, 2007. http://pastel.archives-ouvertes.fr/pastel-00003390.
Pezy, Jean-Philippe. "Approche écosystémique d'un futur parc éolien en Manche orientale : exemple du site de Dieppe-Le Tréport." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC262.
The French government has set a target of 23% of energetic consumption derived from renewable energysources including Marine Renewable Energy for 2020. Eight offshore wind farms (OWF) are plannedalong the Atlantic-English Channel French coasts and among them Dieppe-Le Tréport site in the easternpart of the English Channel. In order to gain further knowledge on the ecosystem structure andfunctioning before the OWF installation, my PhD thesis is focused on the construction of an EcopathModel on the wind farm site in comparison with similar benthic habitats from the English Channel. Thecollection of new data on biological compartments (zooplankton, suprabenthos, meiofauna, benthos anddemersal fishes) are essential. Four cruises (summers 2014 /2015 and winters 2015 /2016) allowed toestimate the contribution of each zoological group in two main benthic habitats: i.e. sandy gravels andmedium clean sands, founded on the site (about 30 km²), corresponding to two microbenthiccommunities well represented in the English Channel. Macrofauna was sampled with a Van Veen grab,suprabenthos with a modified Macer-Giroq sledge in one station from each benthic habitat (day andnight sampling) and fish with a beam trawl in ten stations. A total of 1,584 demersal fishes has beencollected and their stomach contents has been examined. The results show the importance of largebivalves in the benthic biomass whereas the crustaceans are preferential preys of fishes. This link isdiscussed within the trophic network between consumed and non-consumed species of benthiccommunities, and the concept trophic ‘cul de sac’
Bouzoubaa, Maryem. "Stratégies de maintenance intégrée à la production d'énergie dans un parc éolien sous contraintes opérationnelles et environnementales." Electronic Thesis or Diss., Université de Lorraine, 2021. https://docnum.univ-lorraine.fr/public/DDOC_T_2021_0351_BOUZOUBAA.pdf.
Globally, the development of wind farms is experiencing exceptional growth, visible through the increase of wind power installed annually and global wind power production. 2020 was the best year in the history of the global wind industry and it is estimated that wind turbine installation should grow three times faster over the next decade. Any energy production system is subject to random breakdowns which trouble production plans. Aging, breakdowns and maintenance times are examples of random phenomena often observed in those systems. In the particular case of wind turbines, the highly volatile and uncertain nature of the wind means that the duration of maintenance actions must be minimized in order to maximize the availability of the wind turbine and therefore its energy production. In addition to this, the risks associated with maintenance make it the major cause of accidents in the wind energy sector. Considering the lack of training for maintenance technicians and the absence of a prevention plan, a maintenance plan optimizing the number of interventions and their duration and considerably reducing the technical, economic and human consequences linked to these operations is essential. Maintenance and production are two main functions for any type of production. In practice, these two functions are often managed separately despite being in reality so close. Indeed, integration policies can improve productivity and reduce costs considerably. In this context, the research work proposed in this thesis consists in determining new maintenance policies integrated into energy production for a wind farm. Two integrated maintenance strategies were tested: perfect then combined imperfect / selective coupled to energy production, satisfying a service rate while taking into account environmental and operational constraints and. Indeed, for each strategy developed, the goal is to simultaneously determine an economical energy production plan and an optimal maintenance plan minimizing a total cost of energy production and maintenance. The particularity of this study is to consider the impact of the variation in energy production on the degradation of the wind turbine. The problem was modeled by the development and optimization of analytical models, then validated by numerical examples and sensitivity studies proving the robustness of the analytical models developed
Macri, Stefano. "Contribution à l'optimisation de la gestion de production des parc éoliens." Thesis, Orléans, 2020. http://www.theses.fr/2020ORLE3068.
Last decades saw a huge increase of the global wind energy demand because of its crucial contribution to the reduction of the CO2 emission for power generation. This situation highlighted some challenging aspects, such as the necessity to improve power yield maximization strategies. Indeed, wind farms (WFs) experience wake interactions, leading to power losses and fatigue loads for wind turbines (WTs). Promising solutions to mitigate these effects are based on Wind Farm control. The most common solutions currently being studied are the induction and the yaw control (or wake steering) strategies by controlling WTs individually. The present work deals with yaw control strategies and aims to characterize the effect of wind turbine wake deviation on the dynamics and global load variations of a downstream wind turbine, during a positive and negative yaw manoeuvre representing a misalignment/realignment scenarii. These were reproduced in wind tunnels while modelling the WTs as porous discs. Experiments were performed at two reduction scales and for two inflow conditions: homogenous isotropic and turbulent, and atmospheric boundary layer flows. The transient processes during yaw maneuvers were analysed from PIV and load measurement. While overall results show a non-dependence on the wake and load dynamics of the flow conditions and Reynolds scales, they highlight an influence of the yaw maneuver direction. In addition, the wake interaction between two full-scale WTs was also analysed through the processing of WT operational data acquired during a measurement campaign from the SMARTEOLE project. Through inter-correlations of power time series, time delays between neighboring WT responses were quantified, and their dependence to the degree of wake interaction and to the incoming wind speed is finally assessed
Books on the topic "Estimation de parc éolien":
Tacx, Jochem. Construire un Parc Éolien Offshore: Guide Opérationnel. Independently Published, 2021.
Book chapters on the topic "Estimation de parc éolien":
Pilleboue, Jean. "Chapitre 7. À qui appartient le beau vent ? Petite histoire significative d'un projet de parc éolien." In Nouveaux rapports à la nature dans les campagnes, 119–37. Éditions Quæ, 2012. http://dx.doi.org/10.3917/quae.papy.2012.01.0119.
Conference papers on the topic "Estimation de parc éolien":
Iwamoto, Hiroki, and Shin-ichiro Meigo. "Estimation of Uncertainty in Proton-induced Spallation Neutron Multiplicity for Pb, W, Fe, and C Targets." In Proceedings of the 3rd J-PARC Symposium (J-PARC2019). Journal of the Physical Society of Japan, 2021. http://dx.doi.org/10.7566/jpscp.33.011046.
Mishra, Ekta, S. Sreejith, and Ganesh H. Patil. "Soiling Losses Estimation in Solar Panels Using Different Analytical Methods." In 2024 3rd International conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC). IEEE, 2024. http://dx.doi.org/10.1109/parc59193.2024.10486761.
Shobuda, Yoshihiro, and Yoshiro Irie. "Analytical Estimation of the Field Modulation during the Injection Period of the 3 GeV RCS in J-PARC." In Proceedings of the 2nd International Symposium on Science at J-PARC — Unlocking the Mysteries of Life, Matter and the Universe —. Journal of the Physical Society of Japan, 2015. http://dx.doi.org/10.7566/jpscp.8.012003.
Thokar, Rayees Ahmad, Nikhil Gupta, K. R. Niazi, Anil Swarnkar, and N. K. Meena. "Estimation of State-of-Charge for Dynamic Management of Battery Energy Storage Systems for High Renewable Penetration." In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC). IEEE, 2020. http://dx.doi.org/10.1109/parc49193.2020.236565.