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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Modélisation numérique de l'impact d'une ferme hydroliennes sur les conditions hydrodynamiques et sédimentaires du Passage du Fromveur en Mer d'Iroise / Numerical modelling of the impact of tidal stream turbines on the hydrodynamic and sedimentary environment of the Fromveur Strait off the Western Brittany coasts

Michelet, Nicolas 18 October 2018 (has links)
En dépit d’un développement opérationnel actuel seulement émergeant le long des côtes françaises, l’extraction de l’énergie cinétique des courants de marée par les hydroliennes apparaît, dès à présent, comme une solution prometteuse pour contribuer, localement, à la transition énergétique de territoires insulaires déconnectés du réseau électrique continental, ayant des besoins électriques limités, et situés dans des espaces naturels sensibles et/ou touristiques intégrant un patrimoine visuel à préserver. Ce travail de thèse se consacre à la modélisation numérique tridimensionnelle des impacts hydrodynamiques et sédimentaires d’hydroliennes d’axe horizontal déployées dans le site pilote d’implantation de fermes hydroliennes du Passage du Fromveur, au cœur du parc naturel marin d’Iroise, à la pointe Bretagne. Les simulations numériques se basent sur le modèle océanographique ROMS (« Regional Ocean Modelling System ») modifié pour intégrer un sous-modèle théorique de disque actuateur assimilant l’hydrolienne à un disque poreux opposant à l’écoulement une force équivalente à la poussée de la turbine. La méthode est validée avec des mesures effectuées en laboratoire dans le sillage d’un disque poreux de 10 cm de diamètre (D) immergé dans un courant permanent. Une résolution spatiale minimale égale à D/10 est nécessaire pour reproduire les observations. Après une étude de convergence numérique à échelle réelle, le modèle ROMS est appliqué, selon une approche gigogne de maillages imbriqués focalisée sur le Passage du Fromveur, pour examiner les interactions des sillages et les effets cumulés au sein d’un parc de huit turbines de 10 m de diamètre susceptible de satisfaire au besoin énergétique de l’île d’Ouessant. L’agencement des turbines suit les recommandations communément adoptées avec une disposition en quinconce et des espacements longitudinaux de 10D et latéraux de 5D. En condition de vive-eau moyenne, le désalignement du courant au pic de flot exacerbe les interactions entre sillages, réduisant la production énergétique du parc de près de 15 % par rapport à celle du pic de jusant. Ce déficit de production énergétique est limité à 2 % en ramenant l’espacement latéral des turbines à 3D. Les prédictions de ROMS sont enfin exploitées pour appréhender l’influence de cette dernière configuration de parc sur la dynamique sédimentaire locale. Les principaux effets attendus concernent (i) le dépôt de sédiments de plus de 2 mm de diamètre dans le sillage des dispositifs et (ii) la mise en mouvement de cailloutis de 5 cm de diamètre entre les sillages. / In spite of a present only emerging operational development along the coast of France, the extraction of the kinetic energy of tidal currents by turbines appears as a promising solution to contribute locally to the energetic transition of insulary territories that are not connected to the continental electricity grid, with limited power needs, and are located in protected and touristic natural areas with a visual heritage to preserve. This doctoral thesis was devoted to the three-dimensional numerical modelling of the hydrodynamic and sedimentary impacts induced by horizontal-axis turbines deployed within the pilot site of the Fromveur Strait, in the natural marine Iroise park, off western Brittany. Numerical simulations are performed with the oceanographic model ROMS (Regional Ocean Modelling System) modified to integrate a theoretical actuator-disk sub-model that assimilates the device to a porous disc opposing the flow with a force equal to the turbine’s thrust. This method was assessed against laboratory measurements within the wake of a porous disc with a diameter (D) of 0.1 m immersed in a permanent flow. A spatial resolution as small as D/10 was required to reproduce observations. After a numerical convergence study at full scale, ROMS was applied, using a nested grid approach targetted towards the Fromveur Strait, to examine wake interactions and cumulative effects within an array of height turbines of 10-m-diameter expected to fulfill the energy need of the island of Ushant. The array layout followed the commonly recommended staggered configuration with respective longitudinal and lateral spacings of 10D and 5D. During spring tidal conditions, the misalignment of the peak flood flow enhanced the wake interactions, reducing by about 15% the array power production in comparison with the peak ebb flow. This lack of power production capacity was lowered to 2% by reducing the lateral spacing to 3D. ROMS predictions were finally exploited to address the influence of this last array of turbines on the local sediment dynamics. Main effects were expected on (i) the deposition of sediments with diameter over 2 mm within the turbine wakes and (ii) the setting in motion of gravels with a diameter of 5 cm between the wakes.
2

Numerical models for tidal turbine farms

Shives, Michael Robert 22 June 2017 (has links)
Anthropogenic climate change is approaching predicted tipping points and there is an urgent need to de-carbonize energy systems on a global scale. Generation technologies that do not emit greenhouse gas need to be rapidly deployed, and energy grids need to be updated to accommodate an intermittent fluctuating supply. Rapidly advancing battery technology, cost reduction of solar and wind power and other emerging generation technologies are making the needed changes technically and economically feasible. Extracting energy from fast-flowing tidal currents using turbines akin to those used in wind farms, offers a reliable and predictable source of GHG free energy. The tidal power industry has established the technical feasibility of tidal turbines, and is presently up-scaling deployments from single isolated units to large tidal farms containing many turbines. However there remains significant economic uncertainty in financing such projects, partially due to uncertainty in predicting the long-term energy yield. Since energy yield is used in calculating the project revenue, it is of critical importance. Predicting yield for a prospective farm has not received sufficient attention in the tidal power literature. this task has been the primary motivation for this thesis work, which focuses on establishing and validating simulation-based procedures to predict flows through large tidal farms with many turbines, including the back effects of the turbines. This is a challenging problem because large tidal farms may alter tidal flows on large scales, and the slow-moving wake downstream of each rotor influences the inflow to other rotors, influencing their performance and loading. Additionally, tidal flow variation on diurnal and monthly timescales requires long-duration analysis to obtain meaningful statistics that can be used for forecasting. This thesis presents a hybrid simulation method that uses 2D coastal flow simulations to predict tidal flows over long durations, including the influence of turbines, combined with higher-resolution 3D simulations to predict how wakes and local bathymetry influence the power of each turbine in a tidal farm. The two simulation types are coupled using a method of bins to reduce the computational cost within reasonable limits. The method can be used to compute detailed 3D flow fields, power and loading on each turbine in the farm, energy yield and the impact of the farm on tidal amplitude and phase. The method is demonstrated to be computationally tractable with modest high-performance computing resources and therefore are of immediate value for informing turbine placement, comparing turbine farm-layout cases and forecasting yield, and may be implemented in future automated layout optimization algorithms. / Graduate

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