GreenDisc: a HW/SW energy optimization framework in globally distributed computation

In recent future, wireless sensor networks ({WSNs}) will experience a broad high-scale deployment (millions of nodes in the national area) with multiple information sources per node, and with very specific requirements for signal processing. In parallel, the broad range deployment of {WSNs} facilitates the definition and execution of ambitious studies, with a large input data set and high computational complexity. These computation resources, very often heterogeneous and driven on-demand, can only be satisfied by high-performance Data Centers ({DCs}). The high economical and environmental impact of the energy consumption in {DCs} requires aggressive energy optimization policies. These policies have been already detected but not successfully proposed. In this context, this paper shows the following on-going research lines and obtained results. In the field of {WSNs}: energy optimization in the processing nodes from different abstraction levels, including reconfigurable application specific architectures, efficient customization of the memory hierarchy, energy-aware management of the wireless interface, and design automation for signal processing applications. In the field of {DCs}: energy-optimal workload assignment policies in heterogeneous {DCs}, resource management policies with energy consciousness, and efficient cooling mechanisms that will cooperate in the minimization of the electricity bill of the DCs that process the data provided by the WSNs.

Flow and wakes in large wind farms in complex terrain and offshore

Power losses due to wind turbine wakes are of the order of 10 and 20% of total power output in large wind farms. The focus of this research carried out within the EC funded UPWIND project is wind speed and turbulence modelling for large wind farms/wind turbines in complex terrain and offshore in order to optimise wind farm layouts to reduce wake losses and loads.

Flow and wakes in complex terrain and offshore. Model development and verification in UPWIND

The paper presents research conducted in the Flow workpackage of the EU funded UPWIND project which focuses on improving models for flow within and downwind of large wind farms in complex terrain and offshore. The main activity is modelling the behaviour of wind turbine wakes in order to improve power output predictions.

Comparing linear and non linear wind flow models

Assessing wind conditions on complex terrain has become a hard task as terrain complexity increases. That is why there is a need to extrapolate in a reliable manner some wind parameters that determine wind farms viability such as annual average wind speed at all hub heights as well as turbulence intensities. The development of these tasks began in the early 90´s with the widely used linear model WAsP and WAsP Engineering especially designed for simple terrain with remarkable results on them but not so good on complex orographies. Simultaneously non-linearized Navier Stokes solvers have been rapidly developed in the last decade through CFD (Computational Fluid Dynamics) codes allowing simulating atmospheric boundary layer flows over steep complex terrain more accurately reducing uncertainties. This paper describes the features of these models by validating them through meteorological masts installed in a highly complex terrain. The study compares the results of the mentioned models in terms of wind speed and turbulence intensity.

On the economics of energy consumption in 4G networks: the case of Spain

Reducing energy consumption is one of the main challenges in most countries. For example, European Member States agreed to reduce greenhouse gas (GHG) emissions by 20% in 2020 compared to 1990 levels (EC 2008). Considering each sector separately, ICTs account nowadays for 2% of total carbon emissions. This percentage will increase as the demand of communication services and applications steps up. At the same time, the expected evolution of ICT-based developments - smart buildings, smart grids and smart transportation systems among others - could result in the creation of energy-saving opportunities leading to global emission reductions (Labouze et al. 2008), although the amount of these savings is under debate (Falch 2010). The main development required in telecommunication networks ?one of the three major blocks of energy consumption in ICTs together with data centers and consumer equipment (Sutherland 2009) ? is the evolution of existing infrastructures into ultra-broadband networks, the so-called Next Generation Networks (NGN). Fourth generation (4G) mobile communications are the technology of choice to complete -or supplement- the ubiquitous deployment of NGN. The risk and opportunities involved in NGN roll-out are currently in the forefront of the economic and policy debate. However, the issue of which is the role of energy consumption in 4G networks seems absent, despite the fact that the economic impact of energy consumption arises as a key element in the cost analysis of this type of networks. Precisely, the aim of this research is to provide deeper insight on the energy consumption involved in the usage of a 4G network, its relationship with network main design features, and the general economic impact this would have in the capital and operational expenditures related with network deployment and usage.

RANS simulations of wind flow at the Bolund experiment

As part of their development, the predictions of numerical wind flow models must be compared with measurements in order to estimate the uncertainty related to their use. Of course, the most rigorous such comparison is under blind conditions. The following paper includes a detailed description of three different wind flow models, all based on a Reynolds-averaged Navier-Stokes approach and two-equation k-ε closure, that were tested as part of the Bolund blind comparison (itself based on the Bolund experiment which measured the wind around a small coastal island). The models are evaluated in terms of predicted normalized wind speed and turbulent kinetic energy at 2 m and 5 m above ground level for a westerly wind direction. Results show that all models predict the mean velocity reasonably well; however accurate prediction of the turbulent kinetic energy remains achallenge.

Effect of type of dietary carbohydrates on digestion, intestinal barrier and growth performance in 25-d weaned rabbits

Los objetivos globales de esta tesis han sido estudiar el efecto que los carbohidratos de la dieta ejercen sobre los rendimientos productivos, la barrera intestinal, y la digestión de animales destetados a 25 días de edad. Además se ha estudiado cuál es el mejor periodo para determinar la digestibilidad fecal tras el destete a esta edad. En el primer experimento se estudió el efecto de la fibra neutro detergente soluble (FNDS) sobre la barrera intestinal, digestión, microbiota intestinal y rendimientos productivos de gazapos en gazapos en la fase post-destete. Se diseñaron tres piensos isonutritivos en los que la única fuente de variación fueron los niveles de fibra soluble. A partir de una dieta control (AH) con 103 g/kg de materia seca de FNDS y alfalfa como fuente principal de fibra, se sustituyó la mitad de esta alfalfa por una mezcla de pulpa de remolacha y pulpa de manzana (75:25) en el pienso B-AP y por una mezcla de cascarilla y concentrado de proteína de soja (88:12) en el pienso OH, obteniéndose 131 y 79 g/kg de FNDS sobre materia seca, respectivamente. Los conejos se destetaron a 25 días y fueron alimentados con los piensos experimentales hasta los 35 días de edad, momento en el que se sacrificaron para la determinación de la digestibilidad ileal aparente (DIA) de la materia seca (MS), proteína bruta (PB) y almidón, la morfología de la mucosa, y actividad enzimática en el yeyuno, el tejido linfoide asociado a la mucosa, así como la microbiota intestinal. Para la determinación de la morfología de la mucosa se utilizaron adicionalmente 19 animales lactantes de 35 días de edad. Para el estudio de la tasa de mortalidad, se utilizaron 118 animales más por tratamiento que recibieron los piensos experimentales durante las dos semanas post-destete y posteriormente un pienso comercial hasta los 60 días de edad. Los animales recibieron durante todo el experimento medicación en el agua de bebida (100 ppm de apramicina sulfato y 120 ppm de tilosina tartrato). El nivel de fibra soluble mejoró los parámetros que se utilizaron para la caracterización del estado de la barrera intestinal. Los conejos alimentados con el mayor nivel de FNDS en el pienso presentaron una mayor longitud de los villi (P=0.001), un mayor ratio longitud villi/profundidad de las criptas (8.14; P=0.001), una mayor actividad disacaridásica (8671 μmol de glucosa/g de proteína; P=0.019), así como una mayor digestibilidad ileal (96.8%; P=0.002), observándose una reducción en el flujo ileal de almidón a medida que se incrementó el nivel de fibra soluble en el pienso (1,2 vs 0,5 g/d; P=0.001). Los animales lactantes a 35 días de edad presentaron un ratio longitud de villi/profundidad de las criptas menor que el observado en aquéllos alimentados con el pienso B-AP (6.70), pero superior al de los piensos AH y OH. Niveles inferiores de NDFS tendieron (P=0.074) a incrementar la respuesta inmune de tipo celular (linfocitos CD8+). El pienso también afectó a la producción de IL2 (CD25+; P=0.029; CD5+CD25+; P=0.057), pero sin llegar a establecerse una clara relación con el nivel de fibra soluble. La diversidad de la microbiota intestinal no se vio afectada por el pienso (P ≥ 0.38). Los animales alimentados con las piensos B-AP y AH presentaron una reducción en la frecuencia de detección de Clostridium perfringens tanto en íleon (P=0.062) como en ciego (4.3 vs. 17.6%, P =0.047), comparado con el pienso OH. Además la tasa de mortalidad (118 gazapos/pienso) disminuyó de 14.4% en el pienso OH a 5.1% en el pienso B-AP. Entre los 32 y los 35 días de edad se determinó la digestibilidad fecal aparente (14/pienso) de la materia seca (MS), energía bruta (EB), proteína bruta (PB), fibra neutro detergente (FND), fibra ácido detergente (FAD) y almidón. Este grupo, junto con otros nueve animales por tratamiento se utilizaron para determinar el peso del estómago y el ciego, la concentración cecal de ácidos grasos volátiles (AGV) y amoniaco (NH3), así como las tasas de similitud de la microbiota intestinal. Además se estudiaron los rendimientos productivos (35 animales/tratamiento) de los gazapos durante todo el período de cebo, consumiendo los piensos experimentales desde el destete hasta los 35 días y posteriormente un pienso comercial hasta los 60 días de edad. Niveles crecientes de FNDS mejoraron la digestibilidad fecal de la materia seca (MS) y energía (P<0.001). La inclusión FNDS aumentó de manera lineal el peso del contenido cecal (P=0.001) y el peso del aparato digestivo completo (P=0.008), y en los días previos al sacrificio disminuyó de manera lineal el consumo medio diario (P=0.040). Se observó además, una disminución lineal (P≤0.041) del pH del estómago. No se encontró relación entre el pH, la concentración y proporciones molares de AGV y el nivel de FNDS. El pienso pareció tener un efecto, incluso superior al de la madre, sobre la tasa de similitud de la microbiota, y los efectos fueron mayores a nivel cecal que ileal. La eficacia alimenticia aumentó de manera lineal en un 12% entre piensos extremos tras el destete (25- 39d) y en un 3% en el período global de cebo con niveles mayores de NDFS. El consumo medio diario durante la fase post-destete y durante todo el período de cebo, tendió a aumen tar (P≤0.079) con niveles mayores de FNDS, sin embargo no se apreció efecto sobre la ganancia media diaria (P≥0.15). En conclusión, el incremento del nivel de fibra soluble en el pienso parece resultar beneficioso para la salud del animal ya que mejora la integridad de la mucosa, y reduce la frecuencia de detección de potenciales patógenos como C. perfringens y Campylobacter spp. Conforme a estos resultados, debería tenerse en cuenta el contenido en fibra soluble en la formulación de piensos de conejos en la fase post-destete. El objetivo del segundo experimento fue determinar el efecto de la fuente de almidón sobre la digestión, la microbiota intestinal y los rendimientos productivos en conejos destetados con 25 días de edad. Se formularon tres piensos isonutritivos en los que se modificaron las principales fuentes de almidón: trigo crudo, trigo cocido y una combinación de trigo y arroz cocido. Dos grupos de 99 y 193 animales se destetaron con 25 días de edad. El primero de ellos se utilizó para la determinación de los parámetros productivos conforme al mismo protocolo seguido en el experimento anterior. El segundo de los grupos se utilizó para la determinación de la digestibilidad fecal de 32 a 35 d, la digestibilidad ileal aparente (DIA) a 35 d, la morfología de la mucosa intestinal, los parámetros de fermentación cecal; así como, la caracterización de la microbiota intestinal. Se utilizaron además dos grupos adicionales de animales 384 (medicados) y 177 (no medicados) para estudiar el efecto de la suplementación con antibióticos en el agua de bebida sobre la mortalidad. El procesado térmico del trigo mejoró ligeramente la digestibilidad ileal del almidón (P=0.020) pero no modificó el flujo final de almidón que alcanzó el ciego, observándose una mayor frecuencia de detección de Campylobacter spp. y Ruminococcus spp. en ciego (P≤0.023), pero sin cambios a nivel ileal. El procesado térmico del trigo no afectó tampoco a los parámetros productivos, la mortalidad, la digestibilidad ileal y fecal o la morfología de la mucosa. La sustitución parcial del trigo cocido por arroz cocido, penalizó la digestibilidad ileal del almidón (P=0.020) e incrementó el flujo ileal de este nutriente al ciego (P=0.007). Sin embargo no afectó a la mortalidad, pese a que se detectaron cambios en la microbiota tanto a nivel ileal como cecal, disminuyendo la frecuencia de detección de Campylobacter spp. (en íleon y ciego), Helicobacter spp. (en íleon) y Ruminococcus spp (en ciego) e incrementando Bacteroides spp. (en ciego) (P≤0.046). El empleo de arroz cocido en las piensos post-destete no tuvieron efectos sobre los parámetros productivos, la mortalidad, la digestibilidad ileal y fecal a excepción del almidón, o la morfología de la mucosa. La suplementación con antibiótico redujo la fre cuencia de detección de la mayoría de las bacterias estudiadas (P≤0.048), sobre todo para Campylobacter spp., Clostridium perfringens y Propionibacterium spp. (P≤0.048), observándose un efecto mayor a nivel ileal que cecal, lo que se asoció a la bajada significativa (P<0.001) de la mortalidad. En conclusión, los resultados de este experimento indican que la fuente de almidón afecta a la microbiota intestinal pero no influiye sobre la salud del animal. En relación al procesado, el uso de trigo cocido junto con arroz cocido no mejora los resultados obtenidos con trigo duro, si bienserían necesarios más experimentos que confirmaran este punto. El último de los experimentos se centró en un aspecto metodológico. Dado que, los conejos destetados presentan un patrón digestivo diferente al de un animal adulto resultado de su inmadurez digestiva, el objetivo buscado era tratar de determinar el mejor procedimiento para la determinación de la digestibilidad fecal en los gazapos en la fase post-destete. Para tal fin se utilizaron 15 animales/tratamiento de tres camadas diferentes que se destetaron con 25 días, suministrándoles un pienso comercial de crecimiento-cebo. Se registró el consumo medio diario y la excreción diaria de heces desde el día 25 hasta el día 40 de edad para la determinación de la digestibilidad de la MS. La camada afectó al consumo medio diario y la excreción de heces (P=0.013 y 0.014, respectivamente), observándose una tendencia (P=0.061) en la digestibilidad. La edad afectó (P<0.001) a todos estos factores, incrementándose de manera más evidente la excreción que la ingestión de materia seca en la primera semana de vida, para aumentar de forma paralela a partir de la segunda. La correlación entre el consumo medio diario fue mayor con la excreción de heces del mismo día que con la del día siguiente, por lo que se utilizó el primero para la determinación de la digestibilidad de la MS (MSd). La MSd disminuyó de manera lineal hasta los 32 días de edad (2.17±0.25 unidades porcentuales por día), mientras que permaneció constante desde los 32 a los 40 días (69.4±0.47%). Por otro lado, la desviación estándar de la MSd se redujo cuando se incrementó el período de recogida de 2 a 6 días en un 54%. Conforme a los resultados obtenidos, se puede concluir que no es aconsejable comenzar las pruebas de digestibilidad antes de los 32 días de edad y que el número de animales necesario para detectar diferencias significativas entre tratamientos dependerá del período de recogida de heces. ABSTRACT The global aim of this thesis has been to study the effect of dietary carbohydrates on growth, performance, digestion and intestinal barrier in 25-d weaned rabbits. In addition there has also been studied which is the best period to determine the fecal digestibility after weaning. The first experiment focused on the effect of Neutral Detergent Soluble Fibre (NDSF) on gut barrier function, digestion, intestinal microbiota and growth performance n rabbits in the post-weaning period. Three isonutritive diets which only varied in the levels of soluble fiber were formulated such as it described as follows: a control diet (AH) containing 103 g of neutral detergent soluble fiber, including alfalfa as main source of fiber, was replaced by a mixture of beet and apple pulp (75-25) in the B-AP diet and, by a mix of oat hulls and soybean protein concentrate (88:12) in the OH diet, resulting 131 and 79 g of NDFS/kg of dry matter, respectively. Rabbits, weaned at 25 days of age, were fed the experimental diets up to 35 days of age, moment in which they were slaughtered for apparent ileal digestibility (AID) of dry matter (DM), crude protein (CP) and starch, mucosa morphology, sucrose activity, characterization of lamina propria lymphocytes and intestinal microbiota. To assess mucosal morphology, 19 suckling 35-d-old rabbits were also used. For mortality study, besides these animals, 118 additional rabbits per treatment were fed the experimental diets for two weeks period and thereafter received a commercial diet until 60 days of age. Rabbits were water medicated during the whole experimental period (100 ppm de apramicine sulphate and 120 ppm of tylosine tartrate). Level of soluble fiber improved all the parameters used for the characterization of the intestinal barrier condition. Villous height of the jejunal mucosa increased with dietary soluble fiber (P=0.001). Villous height of jejunal mucosa increased with dietary soluble fiber (P = 0.001). Rabbits fed the highest level of soluble fiber (BA-P diet) showed the highest villous height/crypth depth ratio (8.14; P = 0.001), sucrase specific activity (8671 μmol glucose/ g protein; P = 0.019), and the greatest ileal starch digestibility (96.8%; P = 0.002). The opposite effects were observed in rabbits fed decreased levels of soluble fiber (AH and OH diets; 4.70, 5,848 μmol of glucose/g of protein, as average, respectively). The lowest ileal starch digestibility was detected for animal fed OH diet (93.2%). Suckling rabbits of the same age showed a lower villous height/crypt depth ratio (6.70) compared with the B-AP diet group, but this ration was higher that the AH or OH diet groups. Lower levels of soluble fiber tended (P = 0.074) to increase the cellular immune response (CD8+ lymphocytes). Diet affected IL-2 production (CD25+, P = 0.029; CD5+CD25+, P = 0.057), with no clear relationship between soluble fiber and IL-2. The intestinal microbiota biodiversity was not affected by diets (P ≥ 0.38). Animals fed B-AP and AH diets had a reduced cecal frequency of detection compatible with Campylobacter spp. (20.3 vs. 37.8, P = 0.074), and Clostridium perfringens (4.3 vs. 17.6%, P = 0.047), compared with the OH diet group. Moreover, the mortality rates decreased from 14.4 (OH diet) to 5.1% (B-AP diet) with the increased presence of soluble fiber in the diet. Between 32 and 35 days of age, faecal apparent digestibility of dry matter (DM), gross energy (GE), crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF) and starch was determined (14/diet). This group, plus another nine rabbits/diet were used to determine weight of stomach and caecum and their contents, cecal fermentation traits and similarity rate (SR) of intestinal microbiota. Besides, growth performance parameters (35 rabbits/diet) were studied during the whole fattening period, in animals consuming the experimental feed after the weaning up to 35 days of age and later on a commercial diet up animals reached 60 days of age. Increasing levels of Neutral Detergent Soluble Fiber improved faecal dry matter and energy digestibility (P<0.001). NDSF inclusion improved linearly weight of the caecal content (P=0.001) and the total gastrointestinal tract (P=0.008), and in the previous days to slaughter a linear decrease of daily feed intake in diet with highest level of soluble fiber was also observed. Stomach pH decreased linearly with increasing levels of NDFS (P≤0.041). No relation between NDSF level on pH, concentration and molar proportion of VFA was found. Treatments appeared to influence the similarity rate of microbiota, even higher to mother effect. These effects were higher in ileum than in caecum. A linear positive effect of feed efficiency was observed, which increased around 12% in the two weeks post-weaning (25-39d) and 3% in the whole fattening period between extreme diets with highest levels of soluble fiber. Average daily feed intake during the two weeks after weaning and in the whole fattening period, tended (P≤0.079) to increase with highest levels of NDSF; although there were no effect on daily weight gain (≥0.15). In conclusion, an increase of soluble fiber in the feed seems to be beneficial for animal health, due to improve mucose integrity and reduce detection frequency of those poten tial pathogens like C. perfringens and Campylobacter spp. According to these results, level of soluble fiber should be taking care in feed rabbit formulation in the post-weaning period. The objective of the second experiment was to determine the effect of source of starch on digestion, intestinal microbiota and growth performance in twenty-five-day old weaned rabbits. To accomplish with this aim three iso-nutritive diets were formulated with different source of starch: raw wheat, boiled wheat and a combination of boiled wheat and boiled rice. Two groups of 99 and 193 rabbits were weaned at 25 days of age. The first group was used for growth performance determination following the same protocol than in previous experiment. The second group was used to determine faecal digestibility from 32 to 35 d, apparent ileal digestibility (AID) at 35 d, jejunal mucosa morphology, caecal fermentation traits and characterization of intestinal microbiota. For mortality, two additional groups of 384 (medicated) and 177 (not medicated) were used in order to study the effect of antibiotic water supply supplementation. Heat processing of starch slightly improved ileal digestibility of starch (P=0.020) but did not modify the flow of starch to the caecum. An increase in frequency of detection of Campylobacter spp. y Ruminococcus spp. was observed in the caecum (P≤0.023), with no changes at ileal level. Heat processing of wheat did not modify growth performance, mortality, ileal or faecal digestibility and mucosa morphology. Partial substitution of boiled wheat for boiled rice in the diet impaired ileal starch digestibility (P=0.020) and increased the ileal flow of this nutrient to the caecum (P=0.007). However, it did not affect mortality rate, although changes in the ileal and caecal intestinal microbiota were detected, decreasing the frequency of detection of Campylobacter spp. (both ileum and caecum), Helicobacter spp. (at ileum) and Ruminococcus spp (at caecum) and increasing the Bacteroides spp. (at caecum) (P≤0.046). The effect of boiled rice supplementation did not alter growth performance, mortality, ileal or faecal digestibility of other nutrients than starch, and mucosa morphology. Medication of rabbits reduced the ileal frequency of detection of most bacteria studied (P≤0.048), especially for Campylobacter spp., Clostridium perfringens y Propionibacterium spp. (P≤0.048), resulting the effect higher at ileal than caecal level and relating it with a strong reduction of mortality rate (P<0.001). In conclusion, the results of this experiment make think that the source of starch affects the intestinal microbiota but they do not seem to influence animal health. In relation to the effect of heat processed the use of cooked wheat or cooked rice it does not seem to im prove the results obtained with hard wheat, but there would be necessary more experiments that were confirming this point. The last experiment focused on a methodological aspect. Considering that, weaned rabbits have a different digestive pattern than older animals due to their digestive immaturity; the fixed objective was to determine the best procedure for faecal digestibility determination in young rabbits in the post-weaning period. Fifteen rabbits from 5 different litters were weaned at 25 days of age and fed with a commercial feed. Feed intake and faeces excretion were recorded daily from 25 to 40 days of age for dry matter digestibility (DMd) determination. Litter affected daily DM intake and excretion (P=0.013 y 0.014, respectively) and tended to affect DMd (P=0.061). Age affected all these factors (P<0.001), but ingestion increased slowly than dry matter excretion during the first week buth they evolved similarly in the second week. The correlation between daily feed intakes was higher with the faeces excretion of the day than with faeces excretion of the next day, and the first values were used to determine daily DMd. The DMd decreased linearly from weaning to 32 d of age (2.17±0.25 percentage units per day), whereas from 32 to 40 d remained constant (69.4±0.47%). On the other hand, average standard deviation of DMd decreased by 54% when the length of collection period increased from 2 to 6d. Consequently to the obtained results, it could be concluded that it would not be advisable to start digestibility trials before the 32 days of age and that the number of animals required to detect a significant difference among means would depend on the collection period.

Localization and Tracking in Energy-Constrained Networks with Dynamic Connectivity

Systems used for target localization, such as goods, individuals, or animals, commonly rely on operational means to meet the final application demands. However, what would happen if some means were powered up randomly by harvesting systems? And what if those devices not randomly powered had their duty cycles restricted? Under what conditions would such an operation be tolerable in localization services? What if the references provided by nodes in a tracking problem were distorted? Moreover, there is an underlying topic common to the previous questions regarding the transfer of conceptual models to reality in field tests: what challenges are faced upon deploying a localization network that integrates energy harvesting modules? The application scenario of the system studied is a traditional herding environment of semi domesticated reindeer (Rangifer tarandus tarandus) in northern Scandinavia. In these conditions, information on approximate locations of reindeer is as important as environmental preservation. Herders also need cost-effective devices capable of operating unattended in, sometimes, extreme weather conditions. The analyses developed are worthy not only for the specific application environment presented, but also because they may serve as an approach to performance of navigation systems in absence of reasonably accurate references like the ones of the Global Positioning System (GPS). A number of energy-harvesting solutions, like thermal and radio-frequency harvesting, do not commonly provide power beyond one milliwatt. When they do, battery buffers may be needed (as it happens with solar energy) which may raise costs and make systems more dependent on environmental temperatures. In general, given our problem, a harvesting system is needed that be capable of providing energy bursts of, at least, some milliwatts. Many works on localization problems assume that devices have certain capabilities to determine unknown locations based on range-based techniques or fingerprinting which cannot be assumed in the approach considered herein. The system presented is akin to range-free techniques, but goes to the extent of considering very low node densities: most range-free techniques are, therefore, not applicable. Animal localization, in particular, uses to be supported by accurate devices such as GPS collars which deplete batteries in, maximum, a few days. Such short-life solutions are not particularly desirable in the framework considered. In tracking, the challenge may times addressed aims at attaining high precision levels from complex reliable hardware and thorough processing techniques. One of the challenges in this Thesis is the use of equipment with just part of its facilities in permanent operation, which may yield high input noise levels in the form of distorted reference points. The solution presented integrates a kinetic harvesting module in some nodes which are expected to be a majority in the network. These modules are capable of providing power bursts of some milliwatts which suffice to meet node energy demands. The usage of harvesting modules in the aforementioned conditions makes the system less dependent on environmental temperatures as no batteries are used in nodes with harvesters--it may be also an advantage in economic terms. There is a second kind of nodes. They are battery powered (without kinetic energy harvesters), and are, therefore, dependent on temperature and battery replacements. In addition, their operation is constrained by duty cycles in order to extend node lifetime and, consequently, their autonomy. There is, in turn, a third type of nodes (hotspots) which can be static or mobile. They are also battery-powered, and are used to retrieve information from the network so that it is presented to users. The system operational chain starts at the kinetic-powered nodes broadcasting their own identifier. If an identifier is received at a battery-powered node, the latter stores it for its records. Later, as the recording node meets a hotspot, its full record of detections is transferred to the hotspot. Every detection registry comprises, at least, a node identifier and the position read from its GPS module by the battery-operated node previously to detection. The characteristics of the system presented make the aforementioned operation own certain particularities which are also studied. First, identifier transmissions are random as they depend on movements at kinetic modules--reindeer movements in our application. Not every movement suffices since it must overcome a certain energy threshold. Second, identifier transmissions may not be heard unless there is a battery-powered node in the surroundings. Third, battery-powered nodes do not poll continuously their GPS module, hence localization errors rise even more. Let's recall at this point that such behavior is tight to the aforementioned power saving policies to extend node lifetime. Last, some time is elapsed between the instant an identifier random transmission is detected and the moment the user is aware of such a detection: it takes some time to find a hotspot. Tracking is posed as a problem of a single kinetically-powered target and a population of battery-operated nodes with higher densities than before in localization. Since the latter provide their approximate positions as reference locations, the study is again focused on assessing the impact of such distorted references on performance. Unlike in localization, distance-estimation capabilities based on signal parameters are assumed in this problem. Three variants of the Kalman filter family are applied in this context: the regular Kalman filter, the alpha-beta filter, and the unscented Kalman filter. The study enclosed hereafter comprises both field tests and simulations. Field tests were used mainly to assess the challenges related to power supply and operation in extreme conditions as well as to model nodes and some aspects of their operation in the application scenario. These models are the basics of the simulations developed later. The overall system performance is analyzed according to three metrics: number of detections per kinetic node, accuracy, and latency. The links between these metrics and the operational conditions are also discussed and characterized statistically. Subsequently, such statistical characterization is used to forecast performance figures given specific operational parameters. In tracking, also studied via simulations, nonlinear relationships are found between accuracy and duty cycles and cluster sizes of battery-operated nodes. The solution presented may be more complex in terms of network structure than existing solutions based on GPS collars. However, its main gain lies on taking advantage of users' error tolerance to reduce costs and become more environmentally friendly by diminishing the potential amount of batteries that can be lost. Whether it is applicable or not depends ultimately on the conditions and requirements imposed by users' needs and operational environments, which is, as it has been explained, one of the topics of this Thesis.

How much energy will your NGN consume? A model for energy consumption in next generation access networks: The case of Spain

The contribution to global energy consumption of the information and communications technology (ICT) sector has increased considerably in the last decade, along with its growing relevance to the overall economy. This trend will continue due to the seemingly ever greater use of these technologies, with broadband data traffic generated by the usage of telecommunication networks as a primary component. In fact, in response to user demand, the telecommunications industry is initiating the deployment of next generation networks (NGNs). However, energy consumption is mostly absent from the debate on these deployments, in spite of the potential impact on both expenses and sustainability. In addition, consumers are unaware of the energy impact of their choices in ultra-broadband services. This paper focuses on forecasting energy consumption in the access part of NGNs by modelling the combined effect of the deployment of two different ultra-broadband technologies (FTTH-GPON and LTE), the evolution of traffic per user, and the energy consumption in each of the networks and user devices. Conclusions are presented on the levels of energy consumption, their cost and the impact of different network design parameters. The effect of technological developments, techno-economic and policy decisions on energy consumption is highlighted. On the consumer side, practical figures and comparisons across technologies are provided. Although the paper focuses on Spain, the analysis can be extended to similar countries.

Design energy input spectra for high seismicity regions based on Turkish registers

This work proposes design energy spectra in terms of an equivalent velocity, intended for regions with design peak acceleration 0.3 g or higher. These spectra were derived through linear and nonlinear dynamic analyses on a number of selected Turkish strong ground motion records. In the long and mid period ranges the analyses are linear, given the relative insensitivity of the spectra to structural parameters other than the fundamental period; conversely, in the short period range, the spectra are more sensitive to the structural parameters and, hence, nonlinear analyses are required. The selected records are classified in eight groups with respect to soil type (stiff or soft soil), the severity of the earthquake in terms of surface magnitude Ms(Ms≤ 5.5 and Ms> 5.5) and the relevance of the near-source effects (impulsive or vibratory). For each of these groups, median and characteristic spectra are proposed; such levels would respectively correspond to 50 and 95 % percentiles. These spectra have an initial linear growing branch in the short period range, a horizontal branch in the mid period range and a descending branch in the long period range. Empirical criteria for estimating the hysteretic energy from the input energy are suggested. The proposed design spectra are compared with those obtained from other studies.

Home automation controller for a water-flow window

Facing the EU energy efficiency and legal scenarios related to buildings (2010/31 EU directive), new sustainable advanced concepts for envelopes are required. These innovative designs must be able to offer an elevated level of energy efficiency based on a high performance architecture. According to this, smart glazings, and particularly active water-flow glazings, represent a promising alternative to other solar control glazings, since they can reduce the building energy demand avoiding well known drawbacks as high cost, glare problems and high response time that affect to other smart glazings. This kind of glazing, as any other active one, needs to be operated by a control system. In order to operate a water-flow based window, a new controller based on an inexpensive microcontroller board has been developed

Modelization of an experimental solar test box equipped with a water-flow based window

A study on a water- ow window installed in a test box is presented. This window is composed of two glass panes separated by a chamber through water ows. The ow of water comes from an isolated tank which contains heat water. In order to fully evaluate the water- ow window performance for different room and window sizes, locations and weather conditions, a mathematical model of the whole box is needed. The proposed model, in which conduction heat transfer mechanism is the only considered, is one dimensional and unsteady based upon test box energy balance. The effect of the heat water tank, which feeds the water- ow window, is included in the model by means of a time delay in the source term. Although some previous work about moving uid chamber has been developed, air was used as heat transfer uid and no uid storage was considered. Finally a comparison between the numerical solution and the obtained experimental data is done.

A cyber-physical approach to combined HW-SW monitoring for improving energy efficiency in data centers

High-Performance Computing, Cloud computing and next-generation applications such e-Health or Smart Cities have dramatically increased the computational demand of Data Centers. The huge energy consumption, increasing levels of CO2 and the economic costs of these facilities represent a challenge for industry and researchers alike. Recent research trends propose the usage of holistic optimization techniques to jointly minimize Data Center computational and cooling costs from a multilevel perspective. This paper presents an analysis on the parameters needed to integrate the Data Center in a holistic optimization framework and leverages the usage of Cyber-Physical systems to gather workload, server and environmental data via software techniques and by deploying a non-intrusive Wireless Sensor Net- work (WSN). This solution tackles data sampling, retrieval and storage from a reconfigurable perspective, reducing the amount of data generated for optimization by a 68% without information loss, doubling the lifetime of the WSN nodes and allowing runtime energy minimization techniques in a real scenario.

Hidrogeología e hidrodinámica del acuífero de los manantiales de Gormaz y su importancia en el caudal base del río Duero, España = Hydrogeology and hydrodynamic of the Gormaz Springs Aquifer and its importance to the base flow of the Duero River, Spain

Se cuantifican las descargas subterráneas de un acuífero a un río que lo atraviesa utilizando correlaciones estadísticas. El río Duero, España, incrementa su caudal base en varios m3/s, al atravesar unos afloramientos carbonatados mesozoicos en un pequeño tramo de su cabecera; esto es de especial importancia en época de estiaje, cuando la mayor parte del caudal base del río procede de manantiales que allí se sitúan. Dichos afloramientos corresponden a uno de los dos acuíferos calcáreos confinados, que se desarrollan en paralelo y están hidráulicamente desconectados por una capa impermeable, que forman el sistema acuífero de los manantiales de Gormaz. Este sistema se encuentra en estado de régimen natural y está apenas explotado. Se define el modelo conceptual de funcionamiento hidrogeológico, considerando el papel hidrogeológico de la falla de Gormaz, situada en la zona de descarga del sistema. Analizando información geológica antecedente y la geofísica exploratoria realizada, se obtuvo un mejor conocimiento de la geometría y los límites de los acuíferos, definiéndose un sistema acuífero con una zona de recarga en el sur, correspondiente a los afloramientos calcáreos, los cuales se confinan hacia el norte bajo el Terciario, hasta intersecar con la falla normal de Gormaz. El salto de falla genera una barrera para las formaciones permeables situadas al extremo norte (margen derecha del río Duero); a su vez, el plano de falla facilita el ascenso del agua subterránea del sistema acuífero en estudio y pone en conexión hidráulica los dos acuíferos. Se estimaron, además, los parámetros hidráulicos de los acuíferos en los alrededores de la falla. La buena correlación entre los niveles piezométricos y las descargas subterráneas al río Duero han permitido la reconstrucción del hidrograma de los manantiales de Gormaz en el periodo 1992-2006. Se calcula así que la contribución subterránea al río Duero es de 135.9 hm3/año, que supone el 18.9% de la aportación total del río. In a short stretch of its headwaters, the base flow of the River Duero increases by several m3/s as it traverses some Mesozoic carbonate outcrops. This is of special importance during the dry season, when the majority of the base flow of the river proceeds from springs in this reach. The outcrops correspond to one of two confined calcareous aquifers that developed in parallel but which are not hydraulically connected because of an impermeable layer. Together, they constitute the aquifer system of the Gormaz Springs. The system is still in its natural regime and is hardly exploited. This study defines the conceptual model of hydrogeological functioning, taking into consideration the role of the Gormaz Fault, which is situated in the discharge zone of the system. Analysis of both antecedent geological information and geophysical explorations has led to a better understanding of the geometry and boundaries of the aquifers, defining an aquifer system with a recharge zone in the south corresponding to in the calcareous outcrops. These calcareous outcrops are confined to the north below Tertiary formations, as far as their intersection with the normal fault of Gormaz. The throw of the fault forms the barrier of the permeable formations situated in the extreme north (right bank of the River Duero). In turn, the fault plane facilitates the upflow of groundwater from the aquifer system and creates hydraulic connection between the two aquifers. In addition, the study estimated the hydraulic parameters of the aquifer around the fault. The close correlation between piezometric levels and the groundwater discharges to the River Duero has enabled the reconstruction of the hydrogram of Gormaz springs over the period 1992-2006. By this means, it is calculated that the groundwater contribution to the River Duero is 135.9 hm3/year, or 18.9% of the total river inflow.

Distribution of the coal flow in the mill-duct system of the As Pontes Power Plant using CFD modeling

The efficiency of a Power Plant is affected by the distribution of the pulverized coal within the furnace. The coal, which is pulverized in the mills, is transported and distributed by the primary gas through the mill-ducts to the interior of the furnace. This is done with a double function: dry and enter the coal by different levels for optimizing the combustion in the sense that a complete combustion occurs with homogeneous heat fluxes to the walls. The mill-duct systems of a real Power Plant are very complex and they are not yet well understood. In particular, experimental data concerning the mass flows of coal to the different levels are very difficult to measure. CFD modeling can help to determine them. An Eulerian/Lagrangian approach is used due to the low solid–gas volume ratio.