930 resultados para Simulink Allison validazione simulazione turbine compressori LabVIEW


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Il seguente elaborato ha lo scopo di analizzare, attraverso modelli neuro-computazionali, le possibili alterazioni delle risposte in pazienti con malattia di Parkinson, sia indotte da alterazioni del livello di dopamina, sia indotte da modificazioni sinaptiche. Il punto chiave per comprendere i sintomi di PD e il loro deterioramento temporale si deve cercare nel rapporto tra l'attività dei neuroni in BG (in particolare nello striato) e i livelli di dopamina (o levodopa) nel cervello. Di conseguenza, l'obiettivo di questo elaborato è quello di quantificare la connessione tra i livelli di levodopa e performance del finger tapping per mezzo di modelli biologici e simulazioni al computer.

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La présente thèse propose une étude expérimentale du décollement dans le diffuseur d’un modèle de turbine hydroélectrique bulbe. Le décollement se produit quand la turbine est opérée à forte charge et il réduit la section effective de récupération du diffuseur. La diminution de la performance du diffuseur à forte charge engendre une baisse brusque de l’efficacité de la turbine et de la puissance extraite. Le modèle réduit de bulbe est fidèle aux machines modernes avec un diffuseur particulièrement divergent. Les performances de la turbine sont mesurées sur une large gamme de points d’opération pour déterminer les conditions les plus intéressantes pour l’étude du décollement et pour étudier la distribution paramétrique de ce phénomène. La pression est mesurée le long de l’aspirateur par des capteurs dynamiques affleurants alors que les champs de vitesse dans la zone de décollement sont mesurés avec une méthode PIV à deux composantes. Les observations à la paroi sont pour leur part faites à l’aide de brins de laine. Pour un débit suffisant, le gradient de pression adverse induit par la géométrie du diffuseur affaiblit suffisamment la couche limite, entraînant ainsi l’éjection de fluide de la paroi le long d’une large enveloppe tridimensionelle. Le décollement instationnaire tridimensionnel se situe dans la même zone du diffuseur indépendamment du point d’opération. L’augmentation du débit provoque à la fois une extension de la zone de décollement et une augmentation de l’occurrence de ses manifestations. La position et la forme du front de décollement fluctue significativement sans périodicité. L’analyse topologique et celle des tourbillons des champs de vitesse instantanés montrent une topologie du front de décollement complexe qui diffère beaucoup d’une réalisation à l’autre. Bien que l’écoulement soit turbulent, les tourbillons associés aux foyers du front sont clairement plus gros et plus intenses que ceux de la turbulence. Cela suggère que le mécanisme d’enroulement menant aux tourbillons du décollement est clairement distinct des mécanismes de la turbulence.

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Cover title.

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Ce mémoire présente l’étude expérimentale de l’écoulement d’entrée d’un aspirateur d’une turbine bulbe présentant une chute abrupte de performance. Des mesures par vélocimétrie laser à effet Doppler (LDV) ont été réalisées sur deux axes soit en aval des pales de la roue et en aval du moyeu de la roue. Une particularité de cette étude est la conception d’un montage permettant de mesurer la vitesse axiale proche de la paroi du cône. De plus, une méthode d’estimation de la vitesse radiale moyenne a été développée. Ces mesures ont permis de caractériser l’écoulement primaire et les écoulements secondaires et d’analyser leur évolution entre les deux axes. De plus, l’évolution de ces écoulements est analysée en fonction de la chute de performance de la turbine. Les principales particularités de l’écoulement sont la présence d’une recirculation sous le moyeu, d’une zone contrarotative, des sillages des directrices et des tourbillons de bout de pale.

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Les aspirateurs de turbines hydrauliques jouent un rôle crucial dans l’extraction de l’énergie disponible. Dans ce projet, les écoulements dans l’aspirateur d’une turbine de basse chute ont été simulés à l’aide de différents modèles de turbulence dont le modèle DDES, un hybride LES/RANS, qui permet de résoudre une partie du spectre turbulent. Déterminer des conditions aux limites pour ce modèle à l’entrée de l’aspirateur est un défi. Des profils d’entrée 1D axisymétriques et 2D instationnaires tenant compte des sillages et vortex induits par les aubes de la roue ont notamment été testés. Une fluctuation artificielle a également été imposée, afin d’imiter la turbulence qui existe juste après la roue. Les simulations ont été effectuées pour deux configurations d’aspirateur du projet BulbT. Pour la deuxième, plusieurs comparaisons avec des données expérimentales ont été faites pour deux conditions d’opération, à charge partielle et dans la zone de baisse rapide du rendement après le point de meilleur rendement. Cela a permis d’évaluer l’efficacité et les lacunes de la modélisation turbulente et des conditions limites à travers leurs effets sur les quantités globales et locales. Les résultats ont montrés que les structures tourbillonnaires et sillages sortant de la roue sont adéquatement résolus par les simulations DDES de l’aspirateur, en appliquant les profils instationnaires bidimensionnels et un schéma de faible dissipation pour le terme convectif. En outre, les effets de la turbulence artificielle à l’entrée de l’aspirateur ont été explorés à l’aide de l’estimation de l’intermittence du décollement, de corrélations en deux points, du spectre d’énergie et du concept de structures cohérentes lagrangiennes. Ces analyses ont montré que les détails de la dynamique de l’écoulement et de la séparation sont modifiés, ainsi que les patrons des lignes de transport à divers endroits de l’aspirateur. Cependant, les quantités globales comme le coefficient de récupération de l’aspirateur ne sont pas influencées par ces spécificités locales.

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Quando si parla di shelf life di un prodotto alimentare si fa riferimento al periodo di tempo durante il quale un prodotto mantiene le sue caratteristiche qualitative nelle normali condizioni di conservazione/utilizzo e di conseguenza può essere consumato in totale sicurezza. Gli alimenti, infatti, sono prodotti facilmente deperibili che subiscono modifiche a carico della loro composizione a causa dell’innesco di una serie di reazioni sia di tipo microbiologico che chimico-fisico, con i conseguenti rischi per la sicurezza igienico sanitaria del prodotto. Nei prodotti ittici la degradazione biologica risulta essere una delle prime cause di deterioramento dell’alimento ciò perché essi stessi sono caratterizzati dalla presenza di microrganismi provenienti principalmente dalle materie prime impiegate e dal processo di produzione/preparazione utilizzato. Durante la conservazione e lo stoccaggio del prodotto ittico, in particolare sono tre i meccanismi che determinano il deterioramento e quindi la riduzione della shelf life, ovvero: l’autolisi enzimatica (post mortem e che modifica la consistenza del tessuto muscolare favorendo inoltre la crescita microbica ed il rilascio di ammine biogene); l’ossidazione (che riduce le qualità organolettiche del prodotto alterando gli acidi grassi poliinsaturi); la crescita microbica (con produzione di metaboliti come ammine biogene, acidi organici, solfiti, alcool, aldeidi e chetoni che causano i cattivi odori) (Jiang et al. 1990, Koohmaraie M., 1996, Koutsoumanis& Nychas, 1999, Aoki et al., 1997; Bremner, 1992). Risulta quindi strategico, il poter determinare la conservabilità di un alimento verificando dal punto di vista quantitativo, come tutti i fattori che contribuiscono all’alterazione della qualità del prodotto e all’incremento del processo degradativo (popolazione microbica, attività enzimatiche, variazioni chimiche) varino nel tempo.

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As advances in numerical modelling techniques support the increased confidence in predictions from computer simulations, the need remains to have experimental verification built into the design process. This paper outlines the experimental investigation carried out on a shielded vertical axis turbine in a marine environment. The experiments consist of performance measurements and the use of particle image velocimetry on a small scale device in a marine current flume. The results demonstrate that the performance of the device can be modelled numerically; in particular, the results show that the numerical model used can correctly predict the increase in performance with Reynolds number.

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Considerable interest in renewable energy has increased in recent years due to the concerns raised over the environmental impact of conventional energy sources and their price volatility. In particular, wind power has enjoyed a dramatic global growth in installed capacity over the past few decades. Nowadays, the advancement of wind turbine industry represents a challenge for several engineering areas, including materials science, computer science, aerodynamics, analytical design and analysis methods, testing and monitoring, and power electronics. In particular, the technological improvement of wind turbines is currently tied to the use of advanced design methodologies, allowing the designers to develop new and more efficient design concepts. Integrating mathematical optimization techniques into the multidisciplinary design of wind turbines constitutes a promising way to enhance the profitability of these devices. In the literature, wind turbine design optimization is typically performed deterministically. Deterministic optimizations do not consider any degree of randomness affecting the inputs of the system under consideration, and result, therefore, in an unique set of outputs. However, given the stochastic nature of the wind and the uncertainties associated, for instance, with wind turbine operating conditions or geometric tolerances, deterministically optimized designs may be inefficient. Therefore, one of the ways to further improve the design of modern wind turbines is to take into account the aforementioned sources of uncertainty in the optimization process, achieving robust configurations with minimal performance sensitivity to factors causing variability. The research work presented in this thesis deals with the development of a novel integrated multidisciplinary design framework for the robust aeroservoelastic design optimization of multi-megawatt horizontal axis wind turbine (HAWT) rotors, accounting for the stochastic variability related to the input variables. The design system is based on a multidisciplinary analysis module integrating several simulations tools needed to characterize the aeroservoelastic behavior of wind turbines, and determine their economical performance by means of the levelized cost of energy (LCOE). The reported design framework is portable and modular in that any of its analysis modules can be replaced with counterparts of user-selected fidelity. The presented technology is applied to the design of a 5-MW HAWT rotor to be used at sites of wind power density class from 3 to 7, where the mean wind speed at 50 m above the ground ranges from 6.4 to 11.9 m/s. Assuming the mean wind speed to vary stochastically in such range, the rotor design is optimized by minimizing the mean and standard deviation of the LCOE. Airfoil shapes, spanwise distributions of blade chord and twist, internal structural layup and rotor speed are optimized concurrently, subject to an extensive set of structural and aeroelastic constraints. The effectiveness of the multidisciplinary and robust design framework is demonstrated by showing that the probabilistically designed turbine achieves more favorable probabilistic performance than those of the initial baseline turbine and a turbine designed deterministically.

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In recent years, many tidal turbine projects have been developed using composites blades. Tidal turbine blades are subject to ocean forces and sea water aggressions, and the reliability of these components is crucial to the profitability of ocean energy recovery systems. The majority of tidal turbine developers have preferred carbon/epoxy blades, so there is a need to understand how prolonged immersion in the ocean affects these composites. In this study the long term behaviour of different carbon/epoxy composites has been studied using accelerated ageing tests. A significant reduction of composite strengths has been observed after saturation of water in the material. For longer immersions only small further changes in these properties occur. No significant changes have been observed for moduli nor for composite toughness. The effect of sea water ageing on damage thresholds and kinetics has been studied and modelled. After saturation, the damage threshold is modified while kinetics of damage development remain the same.

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Offshore wind turbines operate in a complex unsteady flow environment which causes unsteady aerodynamic loads. The unsteady flow environment is characterized by a high degree of uncertainty. In addition, geometry variations and material imperfections also cause uncertainties in the design process. Probabilistic design methods consider these uncertainties in order to reach acceptable reliability and safety levels for offshore wind turbines. Variations of the rotor blade geometry influence the aerodynamic loads which also affect the reliability of other wind turbine components. Therefore, the present paper is dealing with geometric uncertainties of the rotor blades. These can arise from manufacturing tolerances and operational wear of the blades. First, the effect of geometry variations of wind turbine airfoils on the lift and drag coefficients are investigated using a Latin hypercube sampling. Then, the resulting effects on the performance and the blade loads of an offshore wind turbine are analyzed. The variations of the airfoil geometry lead to a significant scatter of the lift and drag coefficients which also affects the damage-equivalent flapwise bending moments. In contrast to that, the effects on the power and the annual energy production are almost negligible with regard to the assumptions made.

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Optical full-field measurement methods such as Digital Image Correlation (DIC) provide a new opportunity for measuring deformations and vibrations with high spatial and temporal resolution. However, application to full-scale wind turbines is not trivial. Elaborate preparation of the experiment is vital and sophisticated post processing of the DIC results essential. In the present study, a rotor blade of a 3.2 MW wind turbine is equipped with a random black-and-white dot pattern at four different radial positions. Two cameras are located in front of the wind turbine and the response of the rotor blade is monitored using DIC for different turbine operations. In addition, a Light Detection and Ranging (LiDAR) system is used in order to measure the wind conditions. Wind fields are created based on the LiDAR measurements and used to perform aeroelastic simulations of the wind turbine by means of advanced multibody codes. The results from the optical DIC system appear plausible when checked against common and expected results. In addition, the comparison of relative out-of-plane blade deflections shows good agreement between DIC results and aeroelastic simulations.

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The length of wind turbine rotor blades has been increased during the last decades. Higher stresses arise especially at the blade root because of the longer lever arm. One way to reduce unsteady blade-root stresses caused by turbulence, gusts, or wind shear is to actively control the lift in the blade tip region. One promising method involves airfoils with morphing trailing edges to control the lift and consequently the loads acting on the blade. In the present study, the steady and unsteady behavior of an airfoil with a morphing trailing edge is investigated. Two-dimensional Reynolds-Averaged Navier-Stokes (RANS) simulations are performed for a typical thin wind turbine airfoil with a morphing trailing edge. Steady-state simulations are used to design optimal geometry, size, and deflection angles of the morphing trailing edge. The resulting steady aerodynamic coefficients are then analyzed at different angles of attack in order to determine the effectiveness of the morphing trailing edge. In order to investigate the unsteady aerodynamic behavior of the optimal morphing trailing edge, time-resolved RANS-simulations are performed using a deformable grid. In order to analyze the phase shift between the variable trailing edge deflection and the dynamic lift coefficient, the trailing edge is deflected at four different reduced frequencies for each different angle of attack. As expected, a phase shift between the deflection and the lift occurs. While deflecting the trailing edge at angles of attack near stall, additionally an overshoot above and beyond the steady lift coefficient is observed and evaluated.

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Ocean wind retrievals from satellite sensors are typically performed for the standard level of 10 m. This restricts their full exploitation for wind energy planning, which requires wind information at much higher levels where wind turbines operate. A new method is presented for the vertical extrapolation of satellite-based wind maps. Winds near the sea surface are obtained from satellite data and used together with an adaptation of the Monin–Obukhov similarity theory to estimate the wind speed at higher levels. The thermal stratification of the atmosphere is taken into account through a long-term stability correction that is based on numerical weather prediction (NWP) model outputs. The effect of the long-term stability correction on the wind profile is significant. The method is applied to Envisat Advanced Synthetic Aperture Radar scenes acquired over the south Baltic Sea. This leads to maps of the long-term stability correction and wind speed at a height of 100 m with a spatial resolution of 0.02°. Calculations of the corresponding wind power density and Weibull parameters are shown. Comparisons with mast observations reveal that NWP model outputs can correct successfully for long-term stability effects and also, to some extent, for the limited number of satellite samples. The satellite-based and NWP-simulated wind profiles are almost equally accurate with respect to those from the mast. However, the satellite-based maps have a higher spatial resolution, which is particularly important in nearshore areas where most offshore wind farms are built.

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The accurate prediction of stress histories for the fatigue analysis is of utmost importance for the design process of wind turbine rotor blades. As detailed, transient, and geometrically non-linear three-dimensional finite element analyses are computationally weigh too expensive, it is commonly regarded sufficient to calculate the stresses with a geometrically linear analysis and superimpose different stress states in order to obtain the complete stress histories. In order to quantify the error from geometrically linear simulations for the calculation of stress histories and to verify the practical applicability of the superposition principal in fatigue analyses, this paper studies the influence of geometric non-linearity in the example of a trailing edge bond line, as this subcomponent suffers from high strains in span-wise direction. The blade under consideration is that of the IWES IWT-7.5-164 reference wind turbine. From turbine simulations the highest edgewise loading scenario from the fatigue load cases is used as the reference. A 3D finite element model of the blade is created and the bond line fatigue assessment is performed according to the GL certification guidelines in its 2010 edition, and in comparison to the latest DNV GL standard from end of 2015. The results show a significant difference between the geometrically linear and non-linear stress analyses when the bending moments are approximated via a corresponding external loading, especially in case of the 2010 GL certification guidelines. This finding emphasizes the demand to reconsider the application of the superposition principal in fatigue analyses of modern flexible rotor blades, where geometrical nonlinearities become significant. In addition, a new load application methodology is introduced that reduces the geometrically non-linear behaviour of the blade in the finite element analysis.

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Wind energy is one of the most promising and fast growing sector of energy production. Wind is ecologically friendly and relatively cheap energy resource available for development in practically all corners of the world (where only the wind blows). Today wind power gained broad development in the Scandinavian countries. Three important challenges concerning sustainable development, i.e. energy security, climate change and energy access make a compelling case for large-scale utilization of wind energy. In Finland, according to the climate and energy strategy, accepted in 2008, the total consumption of electricity generated by means of wind farms by 2020, should reach 6 - 7% of total consumption in the country [1]. The main challenges associated with wind energy production are harsh operational conditions that often accompany the turbine operation in the climatic conditions of the north and poor accessibility for maintenance and service. One of the major problems that require a solution is the icing of turbine structures. Icing reduces the performance of wind turbines, which in the conditions of a long cold period, can significantly affect the reliability of power supply. In order to predict and control power performance, the process of ice accretion has to be carefully tracked. There are two ways to detect icing – directly or indirectly. The first way applies to the special ice detection instruments. The second one is using indirect characteristics of turbine performance. One of such indirect methods for ice detection and power loss estimation has been proposed and used in this paper. The results were compared to the results directly gained from the ice sensors. The data used was measured in Muukko wind farm, southeast Finland during a project 'Wind power in cold climate and complex terrain'. The project was carried out in 9/2013 - 8/2015 with the partners Lappeenranta university of technology, Alstom renovables España S.L., TuuliMuukko, and TuuliSaimaa.