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.

Gas discharges for continental Spain: geochemical and isotopic features

In this work the results of a geochemical and isotopic survey of 37 gas discharges was carried out in continental Spain are presented and discussed. On the basis of the gas chemical composition, four different areas can be distinguished, as follows: 1) Selva-Emborda (SE) region; 2) Guadalentin Valley (GV); 3) Campo de Calatrava (CC) and 3) the inner part of Spain (IS). The SE, GV and CC areas are characterized by CO2-rich gases, while IS has N2 as main gas compound. The CO2-rich gases can be distinguished at their turn on the basis on the helium and carbon isotopic composition. The SE and CC areas have a strong mantle signature (up to 3 Ra). Nevertheless, the carbon isotopic composition of CC is within the mantle range and that of SE is slightly more negative (down to -8‰ PDB). The GV gases have a lower mantle signature (61 Ra) with respect to SE and CC and more negative carbon isotopes (6-10‰ PDB). It is worth to mention that the SE, GV and CC areas are related to the youngest volcanic activity in continental Spain, for example the Garrotxa Volcanic Field in Catalonia records the latest event dated at 10,000 years, and the isotopic features, particularly those of helium, are suggesting the presence of magmatic bodies still cooling at depth. The N2-rich gases, i.e. those from the IS area, has an atmospheric origin, as highlighted by the N2/Ar ratio that ranges between those of air and ASW (Air Saturated Water). The isotopic composition of carbon is distinctly negative (down to -21‰ PDB) and that of helium is typically crustal (0.02-0.08 Ra), confirming that these gas discharges are related to a relatively shallow source.

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.

Electromagnetic Instability Studies in Fusion Plasmas Edge

Este trabajo esta dedicado al estudio de las estructuras macroscópicas conocidas en la literatura como filamentos o blobs que han sido observadas de manera universal en el borde de todo tipo de dispositivos de fusión por confinamiento magnético. Estos filamentos, celdas convectivas elongadas a lo largo de las líneas de campo que surgen en el plasma fuertemente turbulento que existe en este tipo de dispositivos, parecen dominar el transporte radial de partículas y energía en la región conocida como Scrape-off Layer, en la que las líneas de campo dejan de estar cerradas y el plasma es dirigido hacia la pared sólida que forma la cámara de vacío. Aunque el comportamiento y las leyes de escala de estas estructuras son relativamente bien conocidos, no existe aún una teoría generalmente aceptada acerca del mecanismo físico responsable de su formación, que constituye una de las principales incógnitas de la teoría de transporte del borde en plasmas de fusión y una cuestión de gran importancia práctica en el desarrollo de la siguiente generación de reactores de fusión (incluyendo dispositivos como ITER y DEMO), puesto que la eficiencia del confinamiento y la cantidad de energía depositadas en la pared dependen directamente de las características del transporte en el borde. El trabajo ha sido realizado desde una perspectiva eminentemente experimental, incluyendo la observación y el análisis de este tipo de estructuras en el stellarator tipo heliotrón LHD (un dispositivo de gran tamaño, capaz de generar plasmas de características cercanas a las necesarias en un reactor de fusión) y en el stellarator tipo heliac TJ-II (un dispositivo de medio tamaño, capaz de generar plasmas relativamente más fríos pero con una accesibilidad y disponibilidad de diagnósticos mayor). En particular, en LHD se observó la generación de filamentos durante las descargas realizadas en configuración de alta _ (alta presión cinética frente a magnética) mediante una cámara visible ultrarrápida, se caracterizó su comportamiento y se investigó, mediante el análisis estadístico y la comparación con modelos teóricos, el posible papel de la Criticalidad Autoorganizada en la formación de este tipo de estructuras. En TJ-II se diseñó y construyó una cabeza de sonda capaz de medir simultáneamente las fluctuaciones electrostáticas y electromagnéticas del plasma. Gracias a este nuevo diagnóstico se pudieron realizar experimentos con el fin de determinar la presencia de corriente paralela a través de los filamentos (un parámetro de gran importancia en su modelización) y relacionar los dos tipos de fluctuaciones por primera vez en un stellarator. Así mismo, también por primera vez en este tipo de dispositivo, fue posible realizar mediciones simultáneas de los tensores viscoso y magnético (Reynolds y Maxwell) de transporte de cantidad de movimiento. ABSTRACT This work has been devoted to the study of the macroscopic structures known in the literature as filaments or blobs, which have been observed universally in the edge of all kind of magnetic confinement fusion devices. These filaments, convective cells stretching along the magnetic field lines, arise from the highly turbulent plasma present in this kind of machines and seem to dominate radial transport of particles and energy in the region known as Scrapeoff Layer, in which field lines become open and plasma is directed towards the solid wall of the vacuum vessel. Although the behavior and scale laws of these structures are relatively well known, there is no generally accepted theory about the physical mechanism involved in their formation yet, which remains one of the main unsolved questions in the fusion plasmas edge transport theory and a matter of great practical importance for the development of the next generation of fusion reactors (including ITER and DEMO), since efficiency of confinement and the energy deposition levels on the wall are directly dependent of the characteristics of edge transport. This work has been realized mainly from an experimental perspective, including the observation and analysis of this kind of structures in the heliotron stellarator LHD (a large device capable of generating reactor-relevant plasma conditions) and in the heliac stellarator TJ-II (a medium-sized device, capable of relatively colder plasmas, but with greater ease of access and diagnostics availability). In particular, in LHD, the generation of filaments during high _ discharges (with high kinetic to magnetic pressure ratio) was observed by means of an ultrafast visible camera, and the behavior of this structures was characterized. Finally, the potential role of Self-Organized Criticality in the generation of filaments was investigated. In TJ-II, a probe head capable of measuring simultaneously electrostatic and electromagnetic fluctuations in the plasma was designed and built. Thanks to this new diagnostic, experiments were carried out in order to determine the presence of parallel current through filaments (one of the most important parameters in their modelization) and to related electromagnetic (EM) and electrostatic (ES) fluctuations for the first time in an stellarator. As well, also for the first time in this kind of device, measurements of the viscous and magnetic momentum transfer tensors (Reynolds and Maxwell) were performed.

On-Chip Thermal Monitoring: Design, Placement and Interconnection of Temperature Sensors

La temperatura es una preocupación que juega un papel protagonista en el diseño de circuitos integrados modernos. El importante aumento de las densidades de potencia que conllevan las últimas generaciones tecnológicas ha producido la aparición de gradientes térmicos y puntos calientes durante el funcionamiento normal de los chips. La temperatura tiene un impacto negativo en varios parámetros del circuito integrado como el retardo de las puertas, los gastos de disipación de calor, la fiabilidad, el consumo de energía, etc. Con el fin de luchar contra estos efectos nocivos, la técnicas de gestión dinámica de la temperatura (DTM) adaptan el comportamiento del chip en función en la información que proporciona un sistema de monitorización que mide en tiempo de ejecución la información térmica de la superficie del dado. El campo de la monitorización de la temperatura en el chip ha llamado la atención de la comunidad científica en los últimos años y es el objeto de estudio de esta tesis. Esta tesis aborda la temática de control de la temperatura en el chip desde diferentes perspectivas y niveles, ofreciendo soluciones a algunos de los temas más importantes. Los niveles físico y circuital se cubren con el diseño y la caracterización de dos nuevos sensores de temperatura especialmente diseñados para los propósitos de las técnicas DTM. El primer sensor está basado en un mecanismo que obtiene un pulso de anchura variable dependiente de la relación de las corrientes de fuga con la temperatura. De manera resumida, se carga un nodo del circuito y posteriormente se deja flotando de tal manera que se descarga a través de las corrientes de fugas de un transistor; el tiempo de descarga del nodo es la anchura del pulso. Dado que la anchura del pulso muestra una dependencia exponencial con la temperatura, la conversión a una palabra digital se realiza por medio de un contador logarítmico que realiza tanto la conversión tiempo a digital como la linealización de la salida. La estructura resultante de esta combinación de elementos se implementa en una tecnología de 0,35 _m. El sensor ocupa un área muy reducida, 10.250 nm2, y consume muy poca energía, 1.05-65.5nW a 5 muestras/s, estas cifras superaron todos los trabajos previos en el momento en que se publicó por primera vez y en el momento de la publicación de esta tesis, superan a todas las implementaciones anteriores fabricadas en el mismo nodo tecnológico. En cuanto a la precisión, el sensor ofrece una buena linealidad, incluso sin calibrar; se obtiene un error 3_ de 1,97oC, adecuado para tratar con las aplicaciones de DTM. Como se ha explicado, el sensor es completamente compatible con los procesos de fabricación CMOS, este hecho, junto con sus valores reducidos de área y consumo, lo hacen especialmente adecuado para la integración en un sistema de monitorización de DTM con un conjunto de monitores empotrados distribuidos a través del chip. Las crecientes incertidumbres de proceso asociadas a los últimos nodos tecnológicos comprometen las características de linealidad de nuestra primera propuesta de sensor. Con el objetivo de superar estos problemas, proponemos una nueva técnica para obtener la temperatura. La nueva técnica también está basada en las dependencias térmicas de las corrientes de fuga que se utilizan para descargar un nodo flotante. La novedad es que ahora la medida viene dada por el cociente de dos medidas diferentes, en una de las cuales se altera una característica del transistor de descarga |la tensión de puerta. Este cociente resulta ser muy robusto frente a variaciones de proceso y, además, la linealidad obtenida cumple ampliamente los requisitos impuestos por las políticas DTM |error 3_ de 1,17oC considerando variaciones del proceso y calibrando en dos puntos. La implementación de la parte sensora de esta nueva técnica implica varias consideraciones de diseño, tales como la generación de una referencia de tensión independiente de variaciones de proceso, que se analizan en profundidad en la tesis. Para la conversión tiempo-a-digital, se emplea la misma estructura de digitalización que en el primer sensor. Para la implementación física de la parte de digitalización, se ha construido una biblioteca de células estándar completamente nueva orientada a la reducción de área y consumo. El sensor resultante de la unión de todos los bloques se caracteriza por una energía por muestra ultra baja (48-640 pJ) y un área diminuta de 0,0016 mm2, esta cifra mejora todos los trabajos previos. Para probar esta afirmación, se realiza una comparación exhaustiva con más de 40 propuestas de sensores en la literatura científica. Subiendo el nivel de abstracción al sistema, la tercera contribución se centra en el modelado de un sistema de monitorización que consiste de un conjunto de sensores distribuidos por la superficie del chip. Todos los trabajos anteriores de la literatura tienen como objetivo maximizar la precisión del sistema con el mínimo número de monitores. Como novedad, en nuestra propuesta se introducen nuevos parámetros de calidad aparte del número de sensores, también se considera el consumo de energía, la frecuencia de muestreo, los costes de interconexión y la posibilidad de elegir diferentes tipos de monitores. El modelo se introduce en un algoritmo de recocido simulado que recibe la información térmica de un sistema, sus propiedades físicas, limitaciones de área, potencia e interconexión y una colección de tipos de monitor; el algoritmo proporciona el tipo seleccionado de monitor, el número de monitores, su posición y la velocidad de muestreo _optima. Para probar la validez del algoritmo, se presentan varios casos de estudio para el procesador Alpha 21364 considerando distintas restricciones. En comparación con otros trabajos previos en la literatura, el modelo que aquí se presenta es el más completo. Finalmente, la última contribución se dirige al nivel de red, partiendo de un conjunto de monitores de temperatura de posiciones conocidas, nos concentramos en resolver el problema de la conexión de los sensores de una forma eficiente en área y consumo. Nuestra primera propuesta en este campo es la introducción de un nuevo nivel en la jerarquía de interconexión, el nivel de trillado (o threshing en inglés), entre los monitores y los buses tradicionales de periféricos. En este nuevo nivel se aplica selectividad de datos para reducir la cantidad de información que se envía al controlador central. La idea detrás de este nuevo nivel es que en este tipo de redes la mayoría de los datos es inútil, porque desde el punto de vista del controlador sólo una pequeña cantidad de datos |normalmente sólo los valores extremos| es de interés. Para cubrir el nuevo nivel, proponemos una red de monitorización mono-conexión que se basa en un esquema de señalización en el dominio de tiempo. Este esquema reduce significativamente tanto la actividad de conmutación sobre la conexión como el consumo de energía de la red. Otra ventaja de este esquema es que los datos de los monitores llegan directamente ordenados al controlador. Si este tipo de señalización se aplica a sensores que realizan conversión tiempo-a-digital, se puede obtener compartición de recursos de digitalización tanto en tiempo como en espacio, lo que supone un importante ahorro de área y consumo. Finalmente, se presentan dos prototipos de sistemas de monitorización completos que de manera significativa superan la características de trabajos anteriores en términos de área y, especialmente, consumo de energía. Abstract Temperature is a first class design concern in modern integrated circuits. The important increase in power densities associated to recent technology evolutions has lead to the apparition of thermal gradients and hot spots during run time operation. Temperature impacts several circuit parameters such as speed, cooling budgets, reliability, power consumption, etc. In order to fight against these negative effects, dynamic thermal management (DTM) techniques adapt the behavior of the chip relying on the information of a monitoring system that provides run-time thermal information of the die surface. The field of on-chip temperature monitoring has drawn the attention of the scientific community in the recent years and is the object of study of this thesis. This thesis approaches the matter of on-chip temperature monitoring from different perspectives and levels, providing solutions to some of the most important issues. The physical and circuital levels are covered with the design and characterization of two novel temperature sensors specially tailored for DTM purposes. The first sensor is based upon a mechanism that obtains a pulse with a varying width based on the variations of the leakage currents on the temperature. In a nutshell, a circuit node is charged and subsequently left floating so that it discharges away through the subthreshold currents of a transistor; the time the node takes to discharge is the width of the pulse. Since the width of the pulse displays an exponential dependence on the temperature, the conversion into a digital word is realized by means of a logarithmic counter that performs both the timeto- digital conversion and the linearization of the output. The structure resulting from this combination of elements is implemented in a 0.35_m technology and is characterized by very reduced area, 10250 nm2, and power consumption, 1.05-65.5 nW at 5 samples/s, these figures outperformed all previous works by the time it was first published and still, by the time of the publication of this thesis, they outnumber all previous implementations in the same technology node. Concerning the accuracy, the sensor exhibits good linearity, even without calibration it displays a 3_ error of 1.97oC, appropriate to deal with DTM applications. As explained, the sensor is completely compatible with standard CMOS processes, this fact, along with its tiny area and power overhead, makes it specially suitable for the integration in a DTM monitoring system with a collection of on-chip monitors distributed across the chip. The exacerbated process fluctuations carried along with recent technology nodes jeop-ardize the linearity characteristics of the first sensor. In order to overcome these problems, a new temperature inferring technique is proposed. In this case, we also rely on the thermal dependencies of leakage currents that are used to discharge a floating node, but now, the result comes from the ratio of two different measures, in one of which we alter a characteristic of the discharging transistor |the gate voltage. This ratio proves to be very robust against process variations and displays a more than suficient linearity on the temperature |1.17oC 3_ error considering process variations and performing two-point calibration. The implementation of the sensing part based on this new technique implies several issues, such as the generation of process variations independent voltage reference, that are analyzed in depth in the thesis. In order to perform the time-to-digital conversion, we employ the same digitization structure the former sensor used. A completely new standard cell library targeting low area and power overhead is built from scratch to implement the digitization part. Putting all the pieces together, we achieve a complete sensor system that is characterized by ultra low energy per conversion of 48-640pJ and area of 0.0016mm2, this figure outperforms all previous works. To prove this statement, we perform a thorough comparison with over 40 works from the scientific literature. Moving up to the system level, the third contribution is centered on the modeling of a monitoring system consisting of set of thermal sensors distributed across the chip. All previous works from the literature target maximizing the accuracy of the system with the minimum number of monitors. In contrast, we introduce new metrics of quality apart form just the number of sensors; we consider the power consumption, the sampling frequency, the possibility to consider different types of monitors and the interconnection costs. The model is introduced in a simulated annealing algorithm that receives the thermal information of a system, its physical properties, area, power and interconnection constraints and a collection of monitor types; the algorithm yields the selected type of monitor, the number of monitors, their position and the optimum sampling rate. We test the algorithm with the Alpha 21364 processor under several constraint configurations to prove its validity. When compared to other previous works in the literature, the modeling presented here is the most complete. Finally, the last contribution targets the networking level, given an allocated set of temperature monitors, we focused on solving the problem of connecting them in an efficient way from the area and power perspectives. Our first proposal in this area is the introduction of a new interconnection hierarchy level, the threshing level, in between the monitors and the traditional peripheral buses that applies data selectivity to reduce the amount of information that is sent to the central controller. The idea behind this new level is that in this kind of networks most data are useless because from the controller viewpoint just a small amount of data |normally extreme values| is of interest. To cover the new interconnection level, we propose a single-wire monitoring network based on a time-domain signaling scheme that significantly reduces both the switching activity over the wire and the power consumption of the network. This scheme codes the information in the time domain and allows a straightforward obtention of an ordered list of values from the maximum to the minimum. If the scheme is applied to monitors that employ TDC, digitization resource sharing is achieved, producing an important saving in area and power consumption. Two prototypes of complete monitoring systems are presented, they significantly overcome previous works in terms of area and, specially, power consumption.

Do the spatial characteristics of myocardial scar tissue determine the risk of ventricular arrhythmias?

Sudden cardiac death is one of the main causes of mortality in patients with structural heart disease. Although an implantable cardioverter de?brillator signi?cantly reduces the mortality rate, many patients never receive a shock. Identi?cation of high-risk patients would reduce the costs associated with this therapy and prevent the deleterious effect of inappropriate discharges. As scar tissue is the substrate of ventricular arrhythmias in patients with structural heart disease, scar characterization could allow strati?cation of the risk. The objective of this article is to review the role of scar characteristics in the pathogenesis of ventricular arrhythmias in patients with structural heart disease.

Recuperación de energía de la salmuera

Como consecuencia del proceso de desalación, se produce el vertido al mar de un agua de rechazo hipersalino o salmuera. La salinidad de este vertido es variable, dependiendo del origen de la captación y del proceso de tratamiento. Muchos de los hábitats y biocenosis de los ecosistemas marinos se encuentran adaptados a ambientes de salinidad casi constante y son muy susceptibles a los incrementos de salinidad originados por estos vertidos. Junto con el vertido de salmuera otro de los principales inconvenientes que plantean las plantas desaladoras es el alto consumo energético, con todas las desventajas que esto supone: alto coste del agua desalada para los consumidores, contaminación del medio... El desarrollo de los métodos de vertido, herramientas de gestión de la salmuera, estudios del comportamiento de la pluma salina… ha buscado la mitigación de estos efectos sobre los ecosistemas marinos. El desarrollo en membranas de ósmosis inversa, diseño de bombas y sistemas de recuperación de energía ha permitido también la reducción del consumo energético en las plantas de desalación. Sin embargo, estos campos parecen haber encontrado un techo tecnológico difícil de rebasar en los últimos tiempos. La energía osmótica se plantea como uno de los caminos a investigar aplicado al campo de la reducción del consumo energético en desalación de agua de mar, a través del aprovechamiento energético de la salmuera. Con esta tesis se pretende cumplir principalmente con los siguientes objetivos: reducción del consumo energético en desalación, mitigar el impacto del vertido sobre el medio y ser una nueva herramienta en la gestión de la salmuera. En el presente documento se plantea el desarrollo de un nuevo proceso que utiliza el fenómeno de la ósmosis directa a través de membranas semipermeables, y busca la sinergia desalación depuración, integrando ambos, en un único proceso de tratamiento dentro del ciclo integral del agua. Para verificar los valores de producción, calidad y rendimiento del proceso, se proyecta y construye una planta piloto ubicada en la Planta Desaladora de Alicante II, escalada de tal manera que permite la realización de los ensayos con equipos comerciales de tamaño mínimo. El objetivo es que el resultado final sea extrapolable a tamaños superiores sin que el escalado afecte a la certeza y fiabilidad de las conclusiones obtenidas. La planta se proyecta de forma que el vertido de una desaladora de ósmosis inversa junto con el vertido de un terciario convencional, se pasan por una ósmosis directa y a continuación por una ósmosis inversa otra vez, ésta última con el objeto de abrir la posibilidad de incrementar la producción de agua potable. Ambas ósmosis están provistas de un sistema de pretratamiento físico-químico (para adecuar la calidad del agua de entrada a las condiciones requeridas por las membranas en ambos casos), y un sistema de limpieza química. En todos los ensayos se usa como fuente de disolución concentrada (agua salada), el rechazo de un bastidor de ósmosis inversa de una desaladora convencional de agua de mar. La fuente de agua dulce marca la distinción entre dos tipos de ensayos: ensayos con el efluente del tratamiento terciario de una depuradora convencional, con lo que se estudia el comportamiento de la membrana ante el ensuciamiento; y ensayos con agua permeada, que permiten estudiar el comportamiento ideal de la membrana. Los resultados de los ensayos con agua salobre ponen de manifiesto problemas de ensuciamiento de la membrana, el caudal de paso a través de la misma disminuye con el tiempo y este efecto se ve incrementado con el aumento de la temperatura del agua. Este fenómeno deriva en una modificación del pretratamiento de la ósmosis directa añadiendo un sistema de ultrafiltración que ha permitido que la membrana presente un comportamiento estable en el tiempo. Los ensayos con agua permeada han hecho posible estudiar el comportamiento “ideal” de la membrana y se han obtenido las condiciones óptimas de operación y a las que se debe tender, consiguiendo tasas de recuperación de energía de 1,6; lo que supone pasar de un consumo de 2,44 kWh/m3 de un tren convencional de ósmosis a 2,28 kWh/m3 al añadir un sistema de ósmosis directa. El objetivo de futuras investigaciones es llegar a tasas de recuperación de 1,9, lo que supondría alcanzar consumos inferiores a 2 kWh/m3. Con esta tesis se concluye que el proceso propuesto permite dar un paso más en la reducción del consumo energético en desalación, además de mitigar los efectos del vertido de salmuera en el medio marino puesto que se reduce tanto el caudal como la salinidad del vertido, siendo además aplicable a plantas ya existentes y planteando importantes ventajas económicas a plantas nuevas, concebidas con este diseño. As a consequence of the desalination process, a discharge of a hypersaline water or brine in the sea is produced. The salinity of these discharges varies, depending on the type of intake and the treatment process. Many of the habitats and biocenosis of marine ecosystems are adapted to an almost constant salinity environment and they are very susceptible to salinity increases caused by these discharges. Besides the brine discharge, another problem posed by desalination plants, is the high energy consumption, with all the disadvantages that this involves: high cost of desalinated water for consumers, environmental pollution ... The development of methods of disposal, brine management tools, studies of saline plume ... has sought the mitigation of these effects on marine ecosystems. The development of reverse osmosis membranes, pump design and energy recovery systems have also enabled the reduction of energy consumption in desalination plants. However, these fields seem to have reached a technological ceiling which is difficult to exceed in recent times. Osmotic power is proposed as a new way to achieve the reduction of energy consumption in seawater desalination, through the energy recovery from the brine. This thesis mainly tries to achieve the following objectives: reduction of energy consumption in desalination, mitigation of the brine discharge impact on the environment and become a new tool in the management of the brine. This paper proposes the development of a new process, that uses the phenomenon of forward osmosis through semipermeable membranes and seeks the synergy desalination-wastewater reuse, combining both into a single treatment process within the integral water cycle. To verify the production, quality and performance of the process we have created a pilot plant. This pilot plant, located in Alicante II desalination plant, has been designed and built in a scale that allows to carry out the tests with minimum size commercial equipment. The aim is that the results can be extrapolated to larger sizes, preventing that the scale affects the accuracy and reliability of the results. In the projected plant, the discharge of a reverse osmosis desalination plant and the effluent of a convencional tertiary treatment of a wastewater plant, go through a forward osmosis module, and then through a reverse osmosis, in order to open the possibility of increasing potable water production. Both osmosis systems are provided with a physicochemical pretreatment (in order to obtain the required conditions for the membranes in both cases), and a chemical cleaning system. In all tests, it is used as a source of concentrated solution (salt water), the rejection of a rack of a conventional reverse osmosis seawater desalination. The source of fresh water makes the difference between two types of tests: test with the effluent from a tertiary treatment of a conventional wastewater treatment plant (these tests study the behavior of the membrane facing the fouling) and tests with permeate, which allow us to study the ideal behavior of the membrane. The results of the tests with brackish water show fouling problems, the flow rate through the membrane decreases with the time and this effect is increased with water temperature. This phenomenon causes the need for a modification of the pretreatment of the direct osmosis module. An ultrafiltration system is added to enable the membrane to present a stable behavior . The tests with permeate have made possible the study of the ideal behavior of the membrane and we have obtained the optimum operating conditions. We have achieved energy recovery rates of 1.6, which allows to move from a consumption of 2.44 kWh/m3 in a conventional train of reverse osmosis to 2.28 kWh / m3 if it is added the direct osmosis system. The goal of future researches is to achieve recovery rates of 1.9, which would allow to reach a consumption lower than 2 kWh/m3. This thesis concludes that the proposed process allows us to take a further step in the reduction of the energy consumption in desalination. We must also add the mitigation of the brine discharge effects on the marine environment, due to the reduction of the flow and salinity of the discharge. This is also applicable to existing plants, and it suggests important economic benefits to new plants that will be built with this design.

Simulator of the JET real-time disruption predictor

A disruption predictor based on support vector machines (SVM) has been developed to be used in JET. The training process uses thousands of discharges and, therefore, high performance computing has been necessary to obtain the models. To this respect, several models have been generated with data from different JET campaigns. In addition, various kernels (mainly linear and RBF) and parameters have been tested. The main objective of this work has been the implementation of the predictor model under real-time constraints. A “C-code” software application has been developed to simulate the real-time behavior of the predictor. The application reads the signals from the JET database and simulates the real-time data processing, in particular, the specific data hold method to be developed when reading data from the JET ATM real time network. The simulator is fully configurable by means of text files to select models, signal thresholds, sampling rates, etc. Results with data between campaigns C23and C28 will be shown.

Results of the JET real-time disruption predictor in the ITER-like wall campaigns

The impact of disruptions in JET became even more important with the replacement of the previous Carbon Fiber Composite (CFC) wall with a more fragile full metal ITER-like wall (ILW). The development of robust disruption mitigation systems is crucial for JET (and also for ITER). Moreover, a reliable real-time (RT) disruption predictor is a pre-requisite to any mitigation method. The Advance Predictor Of DISruptions (APODIS) has been installed in the JET Real-Time Data Network (RTDN) for the RT recognition of disruptions. The predictor operates with the new ILW but it has been trained only with discharges belonging to campaigns with the CFC wall. 7 realtime signals are used to characterize the plasma status (disruptive or non-disruptive) at regular intervals of 1 ms. After the first 3 JET ILW campaigns (991 discharges), the success rate of the predictor is 98.36% (alarms are triggered in average 426 ms before the disruptions). The false alarm and missed alarm rates are 0.92% and 1.64%.

Latest developments in data analysis tools for disruption prediction and for the exploration of multimachine operational spaces.

In the last years significant efforts have been devoted to the development of advanced data analysis tools to both predict the occurrence of disruptions and to investigate the operational spaces of devices, with the long term goal of advancing the understanding of the physics of these events and to prepare for ITER. On JET the latest generation of the disruption predictor called APODIS has been deployed in the real time network during the last campaigns with the new metallic wall. Even if it was trained only with discharges with the carbon wall, it has reached very good performance, with both missed alarms and false alarms in the order of a few percent (and strategies to improve the performance have already been identified). Since for the optimisation of the mitigation measures, predicting also the type of disruption is considered to be also very important, a new clustering method, based on the geodesic distance on a probabilistic manifold, has been developed. This technique allows automatic classification of an incoming disruption with a success rate of better than 85%. Various other manifold learning tools, particularly Principal Component Analysis and Self Organised Maps, are also producing very interesting results in the comparative analysis of JET and ASDEX Upgrade (AUG) operational spaces, on the route to developing predictors capable of extrapolating from one device to another.

An automatic critical care urine meter

Nowadays patients admitted to critical care units have most of their physiological parameters measured automatically by sophisticated commercial monitoring devices. More often than not, these devices supervise whether the values of the parameters they measure lie within a pre-established range, and issue warning of deviations from this range by triggering alarms. The automation of measuring and supervising tasks not only discharges the healthcare staff of a considerable workload but also avoids human errors in these repetitive and monotonous tasks. Arguably, the most relevant physiological parameter that is still measured and supervised manually by critical care unit staff is urine output (UO). In this paper we present a patent-pending device that provides continuous and accurate measurements of patient’s UO. The device uses capacitive sensors to take continuous measurements of the height of the column of liquid accumulated in two chambers that make up a plastic container. The first chamber, where the urine inputs, has a small volume. Once it has been filled it overflows into a second bigger chamber. The first chamber provides accurate UO measures of patients whose UO has to be closely supervised, while the second one avoids the need for frequent interventions by the nursing staff to empty the container

Plasma kinetics issues in an ESA study for a plasma laboratory in space

A study supported by the European Space Agency (ESA), in the context of its General Studies Programme, performed an investigation of the possible use of space for studies in pure and applied plasma physics, in areas not traditionally covered by ‘space plasma physics’. A set of experiments have been identified that can potentially provide access to new phenomena and to allow advances in several fields of plasma science. These experiments concern phenomena on a spatial scale (101–104 m) intermediate between what is achievable on the ground and the usual solar system plasma observations. Detailed feasibility studies have been performed for three experiments: active magnetic experiments, largescale discharges and long tether–plasma interactions. The perspectives opened by these experiments are discussed for magnetic reconnection, instabilities, MHD turbulence, atomic excited states kinetics, weakly ionized plasmas,plasma diagnostics, artificial auroras and atmospheric studies. The discussion is also supported by results of numerical simulations and estimates.

Modelling uncertainty of flood quantile estimation at ungauged sites by Bayesian networks

Prediction at ungauged sites is essential for water resources planning and management. Ungauged sites have no observations about the magnitude of floods, but some site and basin characteristics are known. Regression models relate physiographic and climatic basin characteristics to flood quantiles, which can be estimated from observed data at gauged sites. However, these models assume linear relationships between variables Prediction intervals are estimated by the variance of the residuals in the estimated model. Furthermore, the effect of the uncertainties in the explanatory variables on the dependent variable cannot be assessed. This paper presents a methodology to propagate the uncertainties that arise in the process of predicting flood quantiles at ungauged basins by a regression model. In addition, Bayesian networks were explored as a feasible tool for predicting flood quantiles at ungauged sites. Bayesian networks benefit from taking into account uncertainties thanks to their probabilistic nature. They are able to capture non-linear relationships between variables and they give a probability distribution of discharges as result. The methodology was applied to a case study in the Tagus basin in Spain.

Origin of the gases released from the Acqua Passante and Ermeta wells (Mt. Amiata, central Italy) and possible environmental implications for their closure

The Mt. Amiata volcano (Tuscany, central Italy) hosts the second largest geothermal field of Italy. Its SW and NE sectors are characterized by the presence of several CO2-rich (mayor que95% by vol.) gas discharges. An intense Hg mining activity had taken place from the 19th century up to the end of the ?70s, particularly close to Abbadia San Salvatore, during which two drillings (Acqua Passante and Ermeta) intercepted a CO2-rich gas fertile horizon. The related gases are emitted in the atmosphere since 1938 and 1959, respectively, causing severe concerns for the local air quality. In this work the results of a geochemical and isotopic survey carried out on these gas emissions from March 2009 to January 2014 are presented. CO2 fluxes from both the two wells and soil from an area of about 653,500 m2 located between them were measured. The two wells are emitting up to 15,000, 92 and 8 tons y-1 of CO2, CH4 and H2S, respectively, while the computed soil CO2 output was estimated at 4,311 ton y-1. The spatial distribution of the CO2 soil flux suggests the presence of preferential patterns, indicating sites of higher permeability. Since the local municipality is evaluating the possibility to plug the Ermeta vent, a temporarily closure should first be carried out to test the possible influence of this operation on the diffuse soil degassing of deep-originated CO2 in the surrounding area. This implies that diffuse soil gases should carefully be monitored before proceeding with its definitive closure.

Procesos de depuración de los efluentes líquidos de actividades petrolíferas

La Tesis Doctoral surge debida de los problemas de contaminación ambientales que presentan los efluentes líquidos refinería del petróleo y las industrias de extracción del petróleo crudo en la zona costera de Angola principalmente en las provincias de Cabinda, Zaire y Luanda, en las cuales sus vertidos destruyen la flora y fauna acuática. El objetivo de este trabajo consiste en implementar nuevas técnicas de los procesos de oxidación avanzada para el tratamiento de los efluentes líquidos de refinerías de petróleo, que permitan conseguir una calidad adecuada de los vertidos. Este sector se considera como una fuente de contaminación del medio ambiente, que requiere un control estricto y un tratamiento adecuado para la eliminación de los contaminantes existente en este tipo de agua y posteriormente poder reutilizar estas aguas tratadas para otros fines industriales o verter a los cauces receptores que al menos no perjudique a los ecosistemas. En esta tesis se ha investigado las técnicas más modernas de los procesos de oxidación avanzada para el tratamiento de agua residual de refinería de petróleo, así como: 1) ozonización, 2) peróxido de hidrógeno con ozono, y 3) ultravioleta con ozono. Los resultados obtenidos en este trabajo muestran que el proceso de ozonización simple, ha dado mejores resultados para el tratamiento de este tipo agua residual de petróleo, tanto, en la eliminación de materia orgánica y los fenoles presentes en el agua residual. En la primera fase, con 1 litro de muestra, se alcanzó un rendimiento del 80% en la eliminación de la DQO utilizando 5,97 mg/l de dosis de ozono, con 11 minutos de tiempo de contacto. Respecto a los fenoles se alcanzó una eliminación del 100 % con la misma dosis de ozono y con 11 minutos de tiempo de contacto. En la segunda fase, con 4 litros de muestra, se alcanzó un rendimiento del 66% de la DQO utilizando 22,21 mg/l de dosis de ozono, con 15 minutos de tiempo de contacto y el rendimiento en la eliminación de los fenoles fue de 90 % a las mismas condiciones. The doctoral thesis arises because of environmental pollution problems posed by liquid effluents and oil refinery industries extraction of crude oil in the coastal area of Angola mainly in the provinces of Cabinda, Zaire and Luanda, in which their discharges destroy aquatic flora and fauna. The objective of this work is to implement new techniques of advanced oxidation processes for the treatment of liquid effluents of oil refineries that will achieve an adequate quality of discharges. This sector is considered as a source of environmental pollution, which requires close monitoring and appropriate treatment for the removal of existing contaminants in this water and then treated to reuse this water for other industrial purposes or discharging into streams receptors that at least does not harm ecosystems. In this thesis we investigate the most modern techniques of advanced oxidation processes for treatment of wastewater from oil refinery and: 1) ozonation, 2) hydrogen peroxide, ozone, and 3) radiation with ozone. The results obtained in this study show that the ozonation process simple, has yielded better results for treating wastewater of this type of oil, so the removal of phenols and organic matter present in the wastewater. In the first phase, with 1 liter of sample was reached in 80% yield COD removal using 5.97 mg/l ozone dosage, with 11 minutes of contact time. Regarding phenols elimination was achieved of 100% with the same dose of ozone and 11 minutes contact time In the second phase, with sample 4 liters was reached in 66% yield using 22.21 COD mg / l ozone dosage, with 15 minutes of contact time and the performance in the removal of phenols was of 90% at the same conditions.