13 resultados para Farms -- Catalonia -- Osona

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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[Es]El objetivo de esta investigación ha sido analizar la implicación o compromiso de nuestros estudiantes con sus centros escolares. La implicación posee un componente conductual (la participación) y un componente psicológico (la identificación con el centro escolar). La muestra está compuesta por 656 alumnos de 14 colegios del País Vasco y Cataluña, divididos según diferentes tipologías de centro: 179 en pública-primaria, 151 alumnos en concertada-primaria, 203 alumnos en pública¬-secundaria y 123 alumnos en concertada-secundaria. Los resultados indican que las percepciones en las escalas de participación e identificación son más altas en los centros concertados, de primaria y con una sola línea educativa y modelo lingüístico. Así mismo hemos comprobado que existen correlaciones entre las dos dimensiones de la implicación y las variables independientes analizadas: autoconcepto y motivación académica, tipología de centro, trabajo de los profesores y el entorno familiar.

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Traducido al castellano e inglés

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El género Odiellus Roewer, 1923, diagnosticable por un robusto tridente frontal y una excavación dorso-distal en el tronco del pene, alberga seis especies ibéricas. La elevada variabilidad detectada sugiere que hay más especies. En este trabajo se realiza la caracterización de las especies ibéricas, así como su estudio morfológico y morfométrico (haciendo hincapié en las del noreste ibérico), y la descripción de una nueva especie de Cataluña, usando para ello ejemplares conservados en la colección del Departamento de Zoología y Biología Celular Animal de la UPV/EHU, así como ejemplares capturados durante una campaña en el Macizo del Garraf entre el 1 y el 3 de noviembre del 2012. Los resultados muestran que las variables morfométricas estudiadas influyen de manera desigual en la varianza muestral, lo cual puede ser útil en futuros estudios a la hora de decidir distintos caracteres diagnósticos para cada una de las especies de Odiellus ibéricos.

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Radar services are occasionally affected by wind farms. This paper presents a comprehensive description of the effects that a wind farm may cause on the different radar services, and it compiles a review of the recent research results regarding the mitigation techniques to minimize this impact. Mitigation techniques to be applied at the wind farm and on the radar systems are described. The development of thorough impact studies before the wind farm is installed is presented as the best way to analyze in advance the potential for interference, and subsequently identify the possible solutions to allow the coexistence of wind farms and radar services.

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(EuroPES 2009)

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27 p.

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35 p.

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Locate full-text(opens in a new window)|View at Publisher| Export | Download | More... Atmospheric Measurement Techniques Volume 8, Issue 5, 27 May 2015, Pages 2183-2193 Estimating reflectivity values from wind turbines for analyzing the potential impact on weather radar services (Article) Angulo, I.a, Grande, O.a, Jenn, D.b, Guerra, D.a, De La Vega, D.a a University of the Basque Country (UPV/EHU), Bilbao, Spain b Naval Postgraduate School, Monterey, United States View references (28) Abstract The World Meteorological Organization (WMO) has repeatedly expressed concern over the increasing number of impact cases of wind turbine farms on weather radars. Current signal processing techniques to mitigate wind turbine clutter (WTC) are scarce, so the most practical approach to this issue is the assessment of the potential interference from a wind farm before it is installed. To do so, and in order to obtain a WTC reflectivity model, it is crucial to estimate the radar cross section (RCS) of the wind turbines to be built, which represents the power percentage of the radar signal that is backscattered to the radar receiver.

For the proposed model, a representative scenario has been chosen in which both the weather radar and the wind farm are placed on clear areas; i.e., wind turbines are supposed to be illuminated only by the lowest elevation angles of the radar beam.

This paper first characterizes the RCS of wind turbines in the weather radar frequency bands by means of computer simulations based on the physical optics theory and then proposes a simplified model to estimate wind turbine RCS values. This model is of great help in the evaluation of the potential impact of a certain wind farm on the weather radar operation.

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We address the valuation of an operating wind farm and the finite-lived option to invest in it under different reward/support schemes: a constant feed-in tariff, a premium on top of the electricity market price (either a fixed premium or a variable subsidy such as a renewable obligation certificate or ROC), and a transitory subsidy, among others. Futures contracts on electricity with ever longer maturities enable market-based valuations to be undertaken. The model considers up to three sources of uncertainty: the electricity price, the level of wind generation, and the certificate (ROC) price where appropriate. When analytical solutions are lacking, we resort to a trinomial lattice combined with Monte Carlo simulation; we also use a two-dimensional binomial lattice when uncertainty in the ROC price is considered. Our data set refers to the UK. The numerical results show the impact of several factors involved in the decision to invest: the subsidy per MWh generated, the initial lump-sum subsidy, the maturity of the investment option, and electricity price volatility. Different combinations of variables can help bring forward investments in wind generation. One-off policies, e.g., a transitory initial subsidy, seem to have a stronger effect than a fixed premium per MWh produced.

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The potential impact that offshore wind farms may cause on nearby marine radars should be considered before the wind farm is installed. Strong radar echoes from the turbines may degrade radars' detection capability in the area around the wind farm. Although conventional computational methods provide accurate results of scattering by wind turbines, they are not directly implementable in software tools that can be used to conduct the impact studies. This paper proposes a simple model to assess the clutter that wind turbines may generate on marine radars. This method can be easily implemented in the system modeling software tools for the impact analysis of a wind farm in a real scenario.