Prediction of wake effects on wind farm power production using a RANS approach. Part II. Offshore: Case studies from the UPWIND project

The estimation of power losses due to wind turbine wakes is crucial to understanding overall wind farm economics. This is especially true for large offshore wind farms, as it represents the primary source of losses in available power, given the regular arrangement of rotors, their generally largerdiameter and the lower ambient turbulence level, all of which conspire to dramatically affect wake expansion and, consequently, the power deficit. Simulation of wake effects in offshore wind farms (in reasonable computational time) is currently feasible using CFD tools. An elliptic CFD model basedon the actuator disk method and various RANS turbulence closure schemes is tested and validated using power ratios extracted from Horns Rev and Nysted wind farms, collected as part of the EU-funded UPWIND project. The primary focus of the present work is on turbulence modeling, as turbulent mixing is the main mechanism for flow recovery inside wind farms. A higher-order approach, based on the anisotropic RSM model, is tested to better take into account the imbalance in the length scales inside and outside of the wake, not well reproduced by current two-equation closure schemes.

Análisis de secuencias de accidente de pérdida de refrigerante en centrales nucleares de agua a presión mediante la metodología ISA

El accidente de pérdida de refrigerante (LOCA) en un reactor nuclear es uno de los accidentes Base de Diseño más preocupantes y estudiados desde el origen del uso de la tecnología de fisión en la industria productora de energía. El LOCA ocupa, desde el punto de vista de los análisis de seguridad, un lugar de vanguardia tanto en el análisis determinista (DSA) como probabilista (PSA), cuya diferenciada perspectiva ha ido evolucionando notablemente en lo que al crédito a la actuación de las salvaguardias y las acciones del operador se refiere. En la presente tesis se aborda el análisis sistemático de de las secuencias de LOCA por pequeña y mediana rotura en diferentes lugares de un reactor nuclear de agua a presión (PWR) con fallo total de Inyección de Seguridad de Alta Presión (HPSI). Tal análisis ha sido desarrollado en base a la metodología de Análisis Integrado de Seguridad (ISA), desarrollado por el Consejo de Seguridad Nuclear (CSN) y consistente en la aplicación de métodos avanzados de simulación y PSA para la obtención de Dominios de Daño, que cuantifican topológicamente las probabilidades de éxito y daño en función de determinados parámetros inciertos. Para la elaboración de la presente tesis, se ha hecho uso del código termohidráulico TRACE v5.0 (patch 2), avalado por la NRC de los EEUU como código de planta para la simulación y análisis de secuencias en reactores de agua ligera (LWR). Los objetivos del trabajo son, principalmente: (1) el análisis exhaustivo de las secuencias de LOCA por pequeña-mediana rotura en diferentes lugares de un PWR de tres lazos de diseño Westinghouse (CN Almaraz), con fallo de HPSI, en función de parámetros de gran importancia para los transitorios, tales como el tamaño de rotura y el tiempo de retraso en la respuesta del operador; (2) la obtención y análisis de los Dominios de Daño para transitorios de LOCA en PWRs, de acuerdo con la metodología ISA; y (3) la revisión de algunos de los resultados genéricos de los análisis de seguridad para secuencias de LOCA en las mencionadas condiciones. Los resultados de la tesis abarcan tres áreas bien diferenciadas a lo largo del trabajo: (a) la fenomenología física de las secuencias objeto de estudio; (b) las conclusiones de los análisis de seguridad practicados a los transitorios de LOCA; y (c) la relevancia de las consecuencias de las acciones humanas por parte del grupo de operación. Estos resultados, a su vez, son de dos tipos fundamentales: (1) de respaldo del conocimiento previo sobre el tipo de secuencias analizado, incluido en la extensa bibliografía examinada; y (2) hallazgos en cada una de las tres áreas mencionadas, no referidos en la bibliografía. En resumidas cuentas, los resultados de la tesis avalan el uso de la metodología ISA como método de análisis alternativo y sistemático para secuencias accidentales en LWRs. ABSTRACT The loss of coolant accident (LOCA) in nuclear reactors is one of the most concerning and analized accidents from the beginning of the use of fission technology for electric power production. From the point of view of safety analyses, LOCA holds a forefront place in both Deterministic (DSA) and Probabilistic Safety Analysis (PSA), which have significantly evolved from their original state in both safeguard performance credibility and human actuation. This thesis addresses a systematic analysis of small and medium LOCA sequences, in different places of a nuclear Pressurized Water Reactor (PWR) and with total failure of High Pressure Safety Injection (HPSI). Such an analysis has been grounded on the Integrated Safety Assessment (ISA) methodology, developed by the Spanish Nuclear Regulatory Body (CSN). ISA involves the application of advanced methods of simulation and PSA for obtaining Damage Domains that topologically quantify the likelihood of success and damage regarding certain uncertain parameters.TRACE v5.0 (patch 2) code has been used as the thermalhydraulic simulation tool for the elaboration of this work. Nowadays, TRACE is supported by the US NRC as a plant code for the simulation and analysis of sequences in light water reactors (LWR). The main objectives of the work are the following ones: (1) the in-depth analysis of small and medium LOCA sequences in different places of a Westinghouse three-loop PWR (Almaraz NPP), with failed HPSI, regarding important parameters, such as break size or delay in operator response; (2) obtainment and analysis of Damage Domains related to LOCA transients in PWRs, according to ISA methodology; and (3) review some of the results of generic safety analyses for LOCA sequences in those conditions. The results of the thesis cover three separated areas: (a) the physical phenomenology of the sequences under study; (b) the conclusions of LOCA safety analyses; and (c) the importance of consequences of human actions by the operating crew. These results, in turn, are of two main types: (1) endorsement of previous knowledge about this kind of sequences, which is included in the literature; and (2) findings in each of the three aforementioned areas, not reported in the reviewed literature. In short, the results of this thesis support the use of ISA-like methodology as an alternative method for systematic analysis of LWR accidental sequences.

Estudio de viabilidad para instalar una planta de cogeneración

En el presente proyecto se estudia la viabilidad, tanto técnica como económica, de la instalación de una planta de cogeneración, en una industria alimentaria en Aldaya (Valencia). El diseño de la central de cogeneración se basa en la demanda energética de la fábrica, atendiendo a los requisitos necesarios para acogerse al Régimen Especial de producción de energía eléctrica establecidos en el Real Decreto 661/2007, de 25 de mayo. En cuanto a la viabilidad económica, se ha elegido la alternativa de venta de electricidad a la red a tarifa, (a un precio fijo y regulado) con el fin de asegurar los ingresos en el estudio económico y reducir la sensibilidad del proyecto a las variables del mercado. Como resultado se obtienen la reducción de los costes de energía de la fábrica, mejora de la fiabilidad de suministro, reducción de emisiones globales de CO2, y una elevada rentabilidad del proyecto. ABSTRACT The aim of this project is to study the technical and economic feasibility of a cogeneration plant in a food industry in Aldaya (Valencia). The design of the cogeneration plant is based on the energetic demand of the factory, attending to the requirements specified in the Special Regime of production of electric power established in the R.D. 661/2007. The studied alternative in terms of economic viability is selling electricity to the net by tariff, which is a fixed and regulated price in order to assure the revenue in the economic study and to reduce the project sensitivity to the market variation. The results obtained are: reduction in energy costs of the fabric, improvement of reliability in the electrical supply, reduction of global CO2 emission, and high profitability of the project.

Testing a GIS-based methodology for optimal location of Pumped Storage power plants in Norway

Europe needs to restructure its energy system. The aim to decrease the reliance on fossil fuels to a higher dependence on renewable energy has now been imposed by The European Commission. In order to achieve this goal there is a great interest in Norway to become "The Green Battery of Europe". In the pursuit of this goal a GIS-tool was created to investigate the pump storage potential in Norway. The tool searches for possible connections between existing reservoirs and dams with the criteria selected by the user. The aim of this thesis was to test the tool and see if the results suggested were plausible, develop a cost calculation method for the PSH lines, and make suggestions for further development of the tool. During the process the tool presented many non-feasible pumped storage hydropower (PSH) connections. The area of Telemark was chosen for the more detailed study. The results were discussed and some improvements were suggested for further development of the tool. Also a sensitivity test was done to see which of the parameters set by the user are the most relevant for the PSH connection suggestion. From a range of the most promising PSH plants suggested by the tool, the one between Songavatn and Totak was chosen for a case study, where there already exists a power plant between both reservoirs. A new Pumped Storage Plant was designed with a power production of 1200 MW. There are still many topics open to discussion, such as how to deal with environmental restrictions, or how to deal with inflows and outflows of the reservoirs from the existing power plants. Consequently the GIS-tool can be a very useful tool to establish the best possible connections between existing reservoirs and dams, but it still needs a deep study and the creation of new parameters for the user.

Potencial de la producción de bioelectricidad de las Comarcas Agrarias de la Comunidad de Madrid en base a centeno y triticale

En el presente trabajo se estudia la producción potencial de biomasa procedente de los cultivos de centeno y triticale en las seis comarcas agrarias de la Comunidad de Madrid (CM) y la posibilidad de su aplicación a la producción de bioelectricidad en cada una de ellas. En primer lugar se realiza un estudio bibliográfico de la situación actual de la bioelectricidad. Uno de los principales datos a tener en cuenta es que en el PER 2011- 2020 se estima que el total de potencia eléctrica instalada a partir de biomasa en España en el año 2020 sea de 1.350 MW, unas dos veces y media la existente a finales de 2010. Además, se comenta el estado de la incentivación del uso de biomasa de cultivos energéticos para producción de electricidad, la cual se regula actualmente según el Real Decreto-ley 9/2013, de 12 de Julio, por el que se adoptaron medidas urgentes para garantizar la estabilidad financiera del sistema eléctrico, y se consideran los criterios de sostenibilidad en el uso de biocombustibles sólidos. Se realiza una caracterización de las seis comarcas agrarias que forman la Comunidad Autónoma de Madrid: Área Metropolitana, Campiña, Guadarrama, Lozoya- Somosierra, Sur-Occidental y Vegas, la cual consta de dos partes: una descripción de la climatología y otra de la distribución de la superficie dedicada a barbecho y cultivos herbáceos. Se hace una recopilación bibliográfica de los modelos de simulación más representativos de crecimiento de los cultivos (CERES y Cereal YES), así como de ensayos realizados con los cultivos de centeno y triticale para la producción de biomasa y de estudios efectuados mediante herramientas GIS y técnicas de análisis multicriterio para la ubicación de centrales de bioelectricidad y el estudio de la logística de la biomasa. Se propone un modelo de simulación de la productividad de biomasa de centeno y de triticale para la CM, que resulta de la combinación de un modelo de producción de grano en base a datos climatológicos y a la relación biomasa/grano media de ambos cultivos obtenida en una experiencia previa. Los modelos obtenidos responden a las siguientes ecuaciones (siendo TN = temperatura media normalizada a 9,9 ºC y PN = precipitación acumulada normalizada a 496,7 mm): - Producción biomasa centeno (t m.s./ha) = 2,785 * [1,078 * ln(TN + 2*PN) + 2,3256] - Producción biomasa triticale (t m.s./ha) = 2,595 * [2,4495 * ln(TN + 2*PN) + 2,6103] Posteriormente, aplicando los modelos desarrollados, se cuantifica el potencial de producción de biomasa de centeno y triticale en las distintas comarcas agrarias de la CM en cada uno de los escenarios establecidos, que se consideran según el uso de la superficie de barbecho de secano disponible (25%, 50%, 75% y 100%). Las producciones potenciales de biomasa, que se podrían alcanzar en la CM utilizando el 100% de la superficie de barbecho de secano, en base a los cultivos de centeno y triticale, se estimaron en 169.710,72 - 149.811,59 - 140.217,54 - 101.583,01 - 26.961,88 y 1.886,40 t anuales para las comarcas de Campiña - Vegas, Sur - Occidental - Área Metropolitana - Lozoya-Somosierra y Guadarrama, respectivamente. Se realiza un análisis multicriterio basado en la programación de compromiso para definir las comarcas agrarias con mejores características para la ubicación de centrales de bioelectricidad en base a los criterios de potencial de biomasa, infraestructura eléctrica, red de carreteras, espacios protegidos y superficie de núcleos urbanos. Al efectuar el análisis multicriterio, se obtiene la siguiente ordenación jerárquica en base a los criterios establecidos: Campiña, Sur Occidental, Vegas, Área Metropolitana, Lozoya-Somosierra y Guadarrama. Mediante la utilización de técnicas GIS se estudia la localización más conveniente de una central de bioelectricidad de 2,2 MW en cada una de las comarcas agrarias y según el uso de la superficie de barbecho de secano disponible (25%, 50%, 75% y 100%), siempre que exista potencial suficiente. Para el caso de la biomasa de centeno y de triticale en base seca se considera un PCI de 3500 kcal/kg, por lo que se necesitarán como mínimo 17.298,28 toneladas para satisfacer las necesidades de cada una de las centrales de 2,2 MW. Se analiza el potencial máximo de bioelectricidad en cada una de las comarcas agrarias en base a los cultivos de centeno y triticale como productores de biomasa. Según se considere el 25% o el 100% del barbecho de secano para producción de biomasa, la potencia máxima de bioelectricidad que se podría instalar en cada una de las comarcas agrarias variaría entre 5,4 y 21,58 MW en la comarca Campiña, entre 4,76 y 19,05 MW en la comarca Vegas, entre 4,46 y 17,83 MW en la comarca Sur Occidental, entre 3,23 y 12,92 MW en la comarca Área Metropolitana, entre 0,86 y 3,43 MW en la comarca Lozoya Somosierra y entre 0,06 y 0,24 MW en la comarca Guadarrama. La potencia total que se podría instalar en la CM a partir de la biomasa de centeno y triticale podría variar entre 18,76 y 75,06 MW según que se utilice el 25% o el 100% de las tierras de barbecho de secano para su cultivo. ABSTRACT In this work is studied the potential biomass production from rye and triticale crops in the six Madrid Community (MC) agricultural regions and the possibility of its application to the bioelectricity production in each of them. First is performed a bibliographical study of the current situation of bioelectricity. One of the main elements to be considered is that in the PER 2011-2020 is estimated that the total installed electric power from biomass in Spain in 2020 was 1.350 MW, about two and a half times as at end 2010. Also is discussed the status of enhancing the use of biomass energy crops for electricity production, which is currently regulated according to the Real Decreto-ley 9/2013, of July 12, by which urgent measures were adopted to ensure financial stability of the electrical system, and there are considered the sustainability criteria in the use of solid biofuels. A characterization of the six Madrid Community agricultural regions is carried out: Area Metropolitana, Campiña, Guadarrama, Lozoya-Somosierra, Sur-Occidental and Vegas, which consists of two parts: a description of the climatology and another about the distribution of the area under fallow and arable crops. It makes a bibliographic compilation of the most representative crop growth simulation models (CERES and Cereal YES), as well as trials carried out with rye and triticale crops for biomass production and studies conducted by GIS tools and techniques multicriteria analysis for the location of bioelectricity centrals and the study of the logistics of biomass. Is proposed a biomass productivity simulation model for rye and triticale for MC that results from the combination of grain production model based on climatological data and the average relative biomass/grain of both crops obtained in a prior experience. The models obtained correspond to the following equations (where TN = normalized average temperature and PN = normalized accumulated precipitation): - Production rye biomass (t d.m./ha) = 2.785 * [1.078 * ln (TN + 2*PN) + 2.3256] - Production triticale biomass (t d.m./ha) = 2,595 * [2.4495 * ln (TN + 2*PN) + 2.6103] Subsequently, applying the developed models, the biomass potential of the MC agricultural regions is quantified in each of the scenarios established, which are considered as the use of dry fallow area available (25%, 50%, 75 % and 100%). The potential biomass production that can be achieved within the MC using 100% of the rainfed fallow area based on rye and triticale crops, were estimated at 169.710,72 - 149.811,59 - 140.217,54 - 101.583,01 - 26.961,88 and 1.886,40 t annual for the regions of Campiña, Vegas, Sur Occidental, Area Metropolitana, Lozoya- Somosierra and Guadarrama, respectively. A multicriteria analysis is performed, based on compromise programming to define the agricultural regions with better features for the location of bioelectricity centrals, on the basis of biomass potential, electrical infrastructure, road network, protected areas and urban area criteria. Upon multicriteria analysis, is obtained the following hierarchical order based on criteria: Campiña, Sur Occidental, Vegas, Area Metropolitana, Lozoya-Somosierra and Guadarrama. Likewise, through the use of GIS techniques, the most suitable location for a 2,2 MW bioelectricity plant is studied in each of the agricultural regions and according to the use of dry fallow area available (25%, 50% , 75% and 100%), if there is sufficient potential. In the case of biomass rye and triticale dry basis is considered a PCI of 3500 kcal/kg, so it will take at least 17,298.28 t to satisfy the needs of each plant. Is analyzed the maximum bioelectricity potential on each of the agricultural regions on the basis of the rye and triticale crops as biomass producers. As deemed 25% or 100% dry fallow for biomass, the maximum bioelectricity potential varies between 5,4 and 21,58 MW in the Campiña region, between 4,76 and 19,05 MW in the Vegas region, between 4,46 and 17,83 MW in the Sur Occidental region, between 3,23 and 12,92 MW in the Area Metropolitana region, between 0,86 and 3,43 MW in the Lozoya-Somosierra region and between 0,06 and 0,24 MW in the Guadarrama region. The total power that could be installed in the CM from rye and triticale biomass could vary between 18.76 and 75.06 MW if is used the 25% or 100% of fallow land for rainfed crop.

Co2 capture in power plants-using the oxy-combustion principle

In the C02 capture from power generation, the energy penalties for the capture are one of the main challenges. Nowadays, the post-combustion methods have energy penalties 10wer than the oxy combustion and pre-combustion technologies. One of the main disadvantages of the post combustion method is the fact that the capture ofC02at atmospheric pressure requires quite big equipment for the high flow rates of flue gas, and the 10w partial pressure of the CO2generates an important 10ss of energy. The A1lam cyc1e presented for NETPOWER gives high efficiencies in the power production and 10w energy penalties. A simulation of this cyc1e is made together with a simulation of power plants with pre-combustion and post-combustion capture and without capture for natural gas and forcoa1. The simulations give 10wer efficiencies than the proposed for NETPOWER For natural gas the efficiency is 52% instead of the 59% presented, and 33% instead of51% in the case of using coal as fuel. Are brought to light problems in the CO2compressor due the high flow ofC02that is compressed unti1300 bar to be recyc1ed into the combustor.

A dynamic factor model for mid-term forecasting of wind power generation

The main objective of this paper is the development and application of multivariate time series models for forecasting aggregated wind power production in a country or region. Nowadays, in Spain, Denmark or Germany there is an increasing penetration of this kind of renewable energy, somehow to reduce energy dependence on the exterior, but always linked with the increaseand uncertainty affecting the prices of fossil fuels. The disposal of accurate predictions of wind power generation is a crucial task both for the System Operator as well as for all the agents of the Market. However, the vast majority of works rarely onsider forecasting horizons longer than 48 hours, although they are of interest for the system planning and operation. In this paper we use Dynamic Factor Analysis, adapting and modifying it conveniently, to reach our aim: the computation of accurate forecasts for the aggregated wind power production in a country for a forecasting horizon as long as possible, particularly up to 60 days (2 months). We illustrate this methodology and the results obtained for real data in the leading country in wind power production: Denmark

Reducing the impact of EV charging on the electric grid

One of the main objectives of European Commission related to climate and energy is the well-known 20-20-20 targets to be achieved in 2020: Europe has to reduce greenhouse gas emissions of at least 20% below 1990 levels, 20% of EU energy consumption has to come from renewable resources and, finally, a 20% reduction in primary energy use compared with projected levels, has to be achieved by improving energy efficiency. In order to reach these objectives, it is necessary to reduce the overall emissions, mainly in transport (reducing CO2, NOx and other pollutants), and to increase the penetration of the intermittent renewable energy. A high deployment of battery electric (BEVs) and plug-in hybrid electric vehicles (PHEVs), with a low-cost source of energy storage, could help to achieve both targets. Hybrid electric vehicles (HEVs) use a combination of a conventional internal combustion engine (ICE) with one (or more) electric motor. There are different grades of hybridation from micro-hybrids with start-stop capability, mild hybrids (with kinetic energy recovery), medium hybrids (mild hybrids plus energy assist) and full hybrids (medium hybrids plus electric launch capability). These last types of vehicles use a typical battery capacity around 1-2 kWh. Plug in hybrid electric vehicles (PHEVs) use larger battery capacities to achieve limited electric-only driving range. These vehicles are charged by on-board electricity generation or either plugging into electric outlets. Typical battery capacity is around 10 kWh. Battery Electric Vehicles (BEVs) are only driven by electric power and their typical battery capacity is around 15-20 kWh. One type of PHEV, the Extended Range Electric Vehicle (EREV), operates as a BEV until its plug-in battery capacity is depleted; at which point its gasoline engine powers an electric generator to extend the vehicle's range. The charging of PHEVs (including EREVs) and BEVs will have different impacts to the electric grid, depending on the number of vehicles and the start time for charging. Initially, the lecture will start analyzing the electrical power requirements for charging PHEVs-BEVs in Flanders region (Belgium) under different charging scenarios. Secondly and based on an activity-based microsimulation mobility model, an efficient method to reduce this impact will be presented.

Analytical models for the power subsystem and the attitude control subsystem of a microsatellite

El trabajo realizado en la presente tesis doctoral se debe considerar parte del proyecto UPMSat-2, que se enmarca dentro del ámbito de la tecnología aeroespacial. El UPMSat-2 es un microsatélite (de bajo coste y pequeño tamaño) diseñado, construido, probado e integrado por la Universidad Politécnica de Madrid (España), para fines de demostración tecnológica y educación. El objetivo de la presente tesis doctoral es presentar nuevos modelos analíticos para estudiar la interdependencia energética entre los subsistemas de potencia y de control de actitud de un satélite. En primer lugar, se estudia la simulación del subsistema de potencia de un microsatélite, prestando especial atención a la simulación de la fuente de potencia, esto es, los paneles solares. En la tesis se presentan métodos sencillos pero precisos para simular la producción de energía de los paneles en condiciones ambientales variables a través de su circuito equivalente. Los métodos propuestos para el cálculo de los parámetros del circuito equivalente son explícitos (o al menos, con las variables desacopladas), no iterativos y directos; no se necesitan iteraciones o valores iniciales para calcular los parámetros. La precisión de este método se prueba y se compara con métodos similares de la literatura disponible, demostrando una precisión similar para mayor simplicidad. En segundo lugar, se presenta la simulación del subsistema de control de actitud de un microsatélite, prestando especial atención a la nueva ley de control propuesta. La tesis presenta un nuevo tipo de control magnético es aplicable a la órbita baja terrestre (LEO). La ley de control propuesta es capaz de ajustar la velocidad de rotación del satélite alrededor de su eje principal de inercia máximo o mínimo. Además, en el caso de órbitas de alta inclinación, la ley de control favorece la alineación del eje de rotación con la dirección normal al plano orbital. El algoritmo de control propuesto es simple, sólo se requieren magnetopares como actuadores; sólo se requieren magnetómetros como sensores; no hace falta estimar la velocidad angular; no incluye un modelo de campo magnético de la Tierra; no tiene por qué ser externamente activado con información sobre las características orbitales y permite el rearme automático después de un apagado total del subsistema de control de actitud. La viabilidad teórica de la citada ley de control se demuestra a través de análisis de Monte Carlo. Por último, en términos de producción de energía, se demuestra que la actitud propuesto (en eje principal perpendicular al plano de la órbita, y el satélite que gira alrededor de ella con una velocidad controlada) es muy adecuado para la misión UPMSat-2, ya que permite una área superior de los paneles apuntando hacia el sol cuando se compara con otras actitudes estudiadas. En comparación con el control de actitud anterior propuesto para el UPMSat-2 resulta en un incremento de 25% en la potencia disponible. Además, la actitud propuesto mostró mejoras significativas, en comparación con otros, en términos de control térmico, como la tasa de rotación angular por satélite puede seleccionarse para conseguir una homogeneización de la temperatura más alta que apunta satélite y la antena. ABSTRACT The work carried out in the present doctoral dissertation should be considered part of the UPMSat-2 project, falling within the scope of the aerospace technology. The UPMSat-2 is a microsatellite (low cost and small size) designed, constructed integrated and tested for educational and technology demonstration purposes at the Universidad Politécnica de Madrid (Spain). The aim of the present doctoral dissertation is to present new analytical models to study the energy interdependence between the power and the attitude control subsystems of a satellite. First, the simulation of the power subsystem of a microsatellite is studied, paying particular attention to the simulation of the power supply, i.e. the solar panels. Simple but accurate methods for simulate the power production under variable ambient conditions using its equivalent circuit are presented. The proposed methods for calculate the equivalent circuit parameters are explicit (or at least, with decoupled variables), non-iterative and straight forward; no iterations or initial values for the parameters are needed. The accuracy of this method is tested and compared with similar methods from the available literature demonstrating similar precision but higher simplicity. Second, the simulation of the control subsystem of a microsatellite is presented, paying particular attention to the new control law proposed. A new type of magnetic control applied to Low Earth Orbit (LEO) satellites has been presented. The proposed control law is able to set the satellite rotation speed around its maximum or minimum inertia principal axis. Besides, the proposed control law favors the alignment of this axis with the normal direction to the orbital plane for high inclination orbits. The proposed control algorithm is simples, only magnetorquers are required as actuators; only magnetometers are required as sensors; no estimation of the angular velocity is needed; it does not include an in-orbit Earth magnetic field model; it does not need to be externally activated with information about the orbital characteristics and it allows automatic reset after a total shutdown of attitude control subsystem. The theoretical viability of the control law is demonstrated through Monte Carlo analysis. Finally, in terms of power production, it is demonstrated that the proposed attitude (on principal axis perpendicular to the orbit plane, and the satellite rotating around it with a controlled rate) is quite suitable for the UPMSat-2 mission, as it allows a higher area of the panels pointing towards the sun when compared to other studied attitudes. Compared with the previous attitude control proposed for the UPMSat-2 it results in a 25% increment in available power. Besides, the proposed attitude showed significant improvements, when compared to others, in terms of thermal control, as the satellite angular rotation rate can be selected to achieve a higher temperature homogenization of the satellite and antenna pointing.

Hybrid wind-diesel power plant valuation and optimization using real option theory and dynamic programming

El sistema de energía eólica-diesel híbrido tiene un gran potencial en la prestación de suministro de energía a comunidades remotas. En comparación con los sistemas tradicionales de diesel, las plantas de energía híbridas ofrecen grandes ventajas tales como el suministro de capacidad de energía extra para "microgrids", reducción de los contaminantes y emisiones de gases de efecto invernadero, y la cobertura del riesgo de aumento inesperado del precio del combustible. El principal objetivo de la presente tesis es proporcionar nuevos conocimientos para la evaluación y optimización de los sistemas de energía híbrido eólico-diesel considerando las incertidumbres. Dado que la energía eólica es una variable estocástica, ésta no puede ser controlada ni predecirse con exactitud. La naturaleza incierta del viento como fuente de energía produce serios problemas tanto para la operación como para la evaluación del valor del sistema de energía eólica-diesel híbrido. Por un lado, la regulación de la potencia inyectada desde las turbinas de viento es una difícil tarea cuando opera el sistema híbrido. Por otro lado, el bene.cio económico de un sistema eólico-diesel híbrido se logra directamente a través de la energía entregada a la red de alimentación de la energía eólica. Consecuentemente, la incertidumbre de los recursos eólicos incrementa la dificultad de estimar los beneficios globales en la etapa de planificación. La principal preocupación del modelo tradicional determinista es no tener en cuenta la incertidumbre futura a la hora de tomar la decisión de operación. Con lo cual, no se prevé las acciones operativas flexibles en respuesta a los escenarios futuros. El análisis del rendimiento y simulación por ordenador en el Proyecto Eólico San Cristóbal demuestra que la incertidumbre sobre la energía eólica, las estrategias de control, almacenamiento de energía, y la curva de potencia de aerogeneradores tienen un impacto significativo sobre el rendimiento del sistema. En la presente tesis, se analiza la relación entre la teoría de valoración de opciones y el proceso de toma de decisiones. La opción real se desarrolla con un modelo y se presenta a través de ejemplos prácticos para evaluar el valor de los sistemas de energía eólica-diesel híbridos. Los resultados muestran que las opciones operacionales pueden aportar un valor adicional para el sistema de energía híbrida, cuando esta flexibilidad operativa se utiliza correctamente. Este marco se puede aplicar en la optimización de la operación a corto plazo teniendo en cuenta la naturaleza dependiente de la trayectoria de la política óptima de despacho, dadas las plausibles futuras realizaciones de la producción de energía eólica. En comparación con los métodos de valoración y optimización existentes, el resultado del caso de estudio numérico muestra que la política de operación resultante del modelo de optimización propuesto presenta una notable actuación en la reducción del con- sumo total de combustible del sistema eólico-diesel. Con el .n de tomar decisiones óptimas, los operadores de plantas de energía y los gestores de éstas no deben centrarse sólo en el resultado directo de cada acción operativa, tampoco deberían tomar decisiones deterministas. La forma correcta es gestionar dinámicamente el sistema de energía teniendo en cuenta el valor futuro condicionado en cada opción frente a la incertidumbre. ABSTRACT Hybrid wind-diesel power systems have a great potential in providing energy supply to remote communities. Compared with the traditional diesel systems, hybrid power plants are providing many advantages such as providing extra energy capacity to the micro-grid, reducing pollution and greenhouse-gas emissions, and hedging the risk of unexpected fuel price increases. This dissertation aims at providing novel insights for assessing and optimizing hybrid wind-diesel power systems considering the related uncertainties. Since wind power can neither be controlled nor accurately predicted, the energy harvested from a wind turbine may be considered a stochastic variable. This uncertain nature of wind energy source results in serious problems for both the operation and value assessment of the hybrid wind-diesel power system. On the one hand, regulating the uncertain power injected from wind turbines is a difficult task when operating the hybrid system. On the other hand, the economic profit of a hybrid wind-diesel system is achieved directly through the energy delivered to the power grid from the wind energy. Therefore, the uncertainty of wind resources has increased the difficulty in estimating the total benefits in the planning stage. The main concern of the traditional deterministic model is that it does not consider the future uncertainty when making the dispatch decision. Thus, it does not provide flexible operational actions in response to the uncertain future scenarios. Performance analysis and computer simulation on the San Cristobal Wind Project demonstrate that the wind power uncertainty, control strategies, energy storage, and the wind turbine power curve have a significant impact on the performance of the system. In this dissertation, the relationship between option pricing theory and decision making process is discussed. A real option model is developed and presented through practical examples for assessing the value of hybrid wind-diesel power systems. Results show that operational options can provide additional value to the hybrid power system when this operational flexibility is correctly utilized. This framework can be applied in optimizing short term dispatch decisions considering the path-dependent nature of the optimal dispatch policy, given the plausible future realizations of the wind power production. Comparing with the existing valuation and optimization methods, result from numerical example shows that the dispatch policy resulting from the proposed optimization model exhibits a remarkable performance in minimizing the total fuel consumption of the wind-diesel system. In order to make optimal decisions, power plant operators and managers should not just focus on the direct outcome of each operational action; neither should they make deterministic decisions. The correct way is to dynamically manage the power system by taking into consideration the conditional future value in each option in response to the uncertainty.

Performance optimization in switched reluctance motor drives

In this paper, switched reluctance motors (SRM) are proposed as an alternative for electric power assisted steering (EPAS) applications. A prototype machine has been developed as very attractive design for a steering electric motor, both from a cost and size perspective. A fourphase 8/6 SRM drive is designed for a rack type EPAS which should provide a maximum force of 10 kN. Two-dimension finite element analysis is used to validate the design.

Signal analysis and feature generation for pattern identification of partial discharges in high-voltage equipment

This paper proposes a method for the identification of different partial discharges (PDs) sources through the analysis of a collection of PD signals acquired with a PD measurement system. This method, robust and sensitive enough to cope with noisy data and external interferences, combines the characterization of each signal from the collection, with a clustering procedure, the CLARA algorithm. Several features are proposed for the characterization of the signals, being the wavelet variances, the frequency estimated with the Prony method, and the energy, the most relevant for the performance of the clustering procedure. The result of the unsupervised classification is a set of clusters each containing those signals which are more similar to each other than to those in other clusters. The analysis of the classification results permits both the identification of different PD sources and the discrimination between original PD signals, reflections, noise and external interferences. The methods and graphical tools detailed in this paper have been coded and published as a contributed package of the R environment under a GNU/GPL license.

Simulation of wind farms in flat and complex terrain using CFD

Use of computational fluid dynamic (CFD) methods to predict the power production from wind entire wind farms in flat and complex terrain is presented in this paper. Two full 3D Navier–Stokes solvers for incompressible flow are employed that incorporate the k–ε and k–ω turbulence models respectively. The wind turbines (W/Ts) are modelled as momentum absorbers by means of their thrust coefficient using the actuator disk approach. The WT thrust is estimated using the wind speed one diameter upstream of the rotor at hub height. An alternative method that employs an induction-factor based concept is also tested. This method features the advantage of not utilizing the wind speed at a specific distance from the rotor disk, which is a doubtful approximation when a W/T is located in the wake of another and/or the terrain is complex. To account for the underestimation of the near wake deficit, a correction is introduced to the turbulence model. The turbulence time scale is bounded using the general “realizability” constraint for the turbulent velocities. Application is made on two wind farms, a five-machine one located in flat terrain and another 43-machine one located in complex terrain. In the flat terrain case, the combination of the induction factor method along with the turbulence correction provides satisfactory results. In the complex terrain case, there are some significant discrepancies with the measurements, which are discussed. In this case, the induction factor method does not provide satisfactory results.

Modelling wake effects in large wind farms in complex terrain: the problem, the methods and the issues

Computational fluid dynamic (CFD) methods are used in this paper to predict the power production from entire wind farms in complex terrain and to shed some light into the wake flow patterns. Two full three-dimensional Navier–Stokes solvers for incompressible fluid flow, employing k − ϵ and k − ω turbulence closures, are used. The wind turbines are modeled as momentum absorbers by means of their thrust coefficient through the actuator disk approach. Alternative methods for estimating the reference wind speed in the calculation of the thrust are tested. The work presented in this paper is part of the work being undertaken within the UpWind Integrated Project that aims to develop the design tools for next generation of large wind turbines. In this part of UpWind, the performance of wind farm and wake models is being examined in complex terrain environment where there are few pre-existing relevant measurements. The focus of the work being carried out is to evaluate the performance of CFD models in large wind farm applications in complex terrain and to examine the development of the wakes in a complex terrain environment.

Integración de baterías en sistemas fotovoltaicos conectados a red

La situación actual del mercado energético en España y el imparable aumento de las tasas por parte de las eléctricas, está fomentando la búsqueda de fuentes de energía alternativas que permitan a la población poder abastecerse de electricidad, sin tener que pagar unos costes tan elevados. Para cubrir esta necesidad, la energía fotovoltaica y sobretodo el autoconsumo con inyección a red o balance neto, está adquiriendo cada vez más importancia dentro del mundo energético. Pero la penetración de esta tecnología en la Red Eléctrica Española tiene un freno, la desconfianza por parte del operador de la red, ya que la fotovoltaica es una fuente de energía intermitente, que puede introducir inestabilidades en el sistema en caso de alta penetración. Por ello se necesita ganar la confianza de las eléctricas, haciendo que sea una energía predecible, que aporte potencia a la red eléctrica cuando se le pida y que opere participando en la regulación de la frecuencia del sistema eléctrico. Para tal fin, el grupo de investigación de Sistemas Fotovoltaicos, perteneciente al IES de la UPM, está llevando a cabo un proyecto de investigación denominado PV CROPS, financiado por la Comisión Europea, y que tiene por objetivo desarrollar estas estrategias de gestión. En este contexto, el objetivo de este Proyecto Fin de Carrera consiste en implementar un Banco de Ensayos con Integración de Baterías en Sistemas FV Conectados a Red, que permita desarrollar, ensayar y validar estas estrategias. Aprovechando la disponibilidad para usar el Hogar Digital, instalado en la EUITT de la UPM, hemos montado el banco de ensayos en un laboratorio contiguo, y así, poder utilizar este Hogar como un caso real de consumos energéticos de una vivienda. Este banco de ensayos permitirá obtener información de la energía generada por la instalación fotovoltaica y del consumo real de la "casa" anexa, para desarrollar posteriormente estrategias de gestión de la electricidad. El Banco de Ensayos está compuesto por tres bloques principales, interconectados entre sí:  Subsistema de Captación de Datos y Comunicación. Encargado de monitorizar los elementos energéticos y de enviar la información recopilada al Subsistema de Control. Formado por analizadores de red eléctrica, monofásicos y de continua, y una pasarela orientada a la conversión del medio físico Ethernet a RS485.  Subsistema de Control. Punto de observación y recopilación de toda la información que proviene de los elementos energéticos. Es el subsistema donde se crearán y se implementarán estrategias de control energético. Compuesto por un equipo Pxie, controlador empotrado en un chasis de gama industrial, y un equipo PC Host, compuesto por una workstation y tres monitores.  Subsistema de Energía. Formado por los elementos que generan, controlan o consumen energía eléctrica, en el Banco de Ensayos. Constituido por una pérgola FV, un inversor, un inversor bidireccional y un bloque de baterías. El último paso ha sido llevar a cabo un Ejemplo de Aplicación Práctica, con el que hemos probado que el Banco de Ensayos está listo para usarse, es operativo y completamente funcional en operaciones de monitorización de generación energética fotovoltaica y consumo energético. ABSTRACT. The current situation of the energetic market in Spain and the unstoppable increase of the tax on the part of the electrical companies, is promoting the search of alternative sources of energy that allow to the population being able to be supplied of electricity, without having to pay so high costs. To meet this need, the photovoltaic power and above all the self-consumption with injection to network, it is increasingly important inside the energetic world. It allows to the individual not only to pay less for the electricity, in addition it allows to obtain benefits for the energy generated in his own home. But the penetration of this technology in the Electrical Spanish Network has an obstacle, the distrust on the part of the operator of the electrical network, due to the photovoltaic is an intermittent source of energy, which can introduce instabilities in the system in case of high penetration. Therefore it´s necessary to reach the confidence of the electricity companies, making it a predictable energy, which provides with power to the electrical network whenever necessary and that operates taking part in the regulation of the frequency of the electric system. For such an end, the group of system investigation Photovoltaic, belonging to the IES of the UPM, there is carrying out a project of investigation named PV CROPS, financed by the European Commission, and that has for aim to develop these strategies of management. In this context, the objective of this Senior Thesis consists in implementing a Bank of Tests with Integration of Batteries in Photovoltaic Systems Connected to Network, which allows developing, testing and validating these strategies. Taking advantage of the availability to use the Digital Home installed in the EUITT of the UPM, we have mounted the bank of tests in a contiguous laboratory to use this Home as a real case of energetic consumptions of a house. This bank of tests will allow obtaining information of the energy generated by the photovoltaic installation and information of the royal consumption of the attached "house", to develop later strategies of management of the electricity. The Bank of Tests is composed by three principal blocks, interconnected each other:  Subsystem of Gathering of data and Communication. In charge of monitoring the energetic elements and sending the information compiled to the Subsystem of Control. Formed by power analyzers, AC and DC, and a gateway for the conversion of the Ethernet physical medium to RS485.  Subsystem of Control. Point of observation and compilation of all the information that comes from the energetic elements. It is the subsystem where there will be created and there will be implemented strategies of energetic control. Composed of a Pxie, controller fixed in an industrial range chassis, and a PC Host, formed by a workstation and three monitors.  Subsystem of Energy. Formed by the elements of generating, controlling or consuming electric power, in the Bank of Tests. Made of photovoltaic modules, an inverter, a twoway inverter and a batteries block. The last step has been performing an Example of Practical Application we have proved that the Bank of Tests is ready to be used, it´s operative and fully functional in monitoring operations of energetic photovoltaic generation and energetic consumption.