Estimating the Value of Source Verification in Iowa Feeder Cattle Markets

Source verification and pooling of feeder cattle into larger lots resulted in higher selling prices compared to more typical sales at a southern Iowa auction market. After higher prices due to larger lot sizes were accounted for, cattle that received a specified management program and were source verified as to origin received additional price premiums. The data do not distinguish between the value of the specific management program and the value of the source verification process. However, cow–calf producers participating in the program took home more money.

Estimating the Value of Source Verification in Iowa Feeder Cattle Markets

Source verification and pooling of feeder cattle into larger lots resulted in higher selling prices compared with more typical sales at a southern Iowa auction market. After accounting for higher prices due to larger lot sizes, cattle that received a specified management program and were source verified as to origin received additional price premiums. The data do not distinguish between the value of the specific management program and the value of the source verification process. However, cow-calf producers participating in the program took home more money.

An exploratory investigation of America's most costly delinquents: Juvenile firesetters

This study focused on the instruments that are currently being used by fire department personnel to identify and classify juvenile firesetters, these instruments, as published by the Federal Emergency Management Agency (F.E.M.A.) have never been empirically validated as to their ability to discriminate between first time and multiple firesetters and to predict the degree of risk for future firesetting by juveniles that come to the attention of authorities for firesetting behaviors. The study was descriptive in nature and not designed to test the validity of these instruments. The study was designed to test the ability of the instruments to discriminate between first time and multiple firesetters and to categorize known firesetters, based on the motive for firesetting, as to their degree or risk for future firesetting.^ The results suggest that the F.E.M.A. instruments are of little use in discriminating between first time and multiple firesetters. The F.E.M.A. instruments were not able to categorize juvenile firesetters as to their potential risk for future firesetting. A subset of variables from the F.E.M.A. instruments was identified that may be useful in discriminating between youth that are troubled firesetters and those that are not. ^

Border intervention by Promotores for type 2 diabetes

Purpose of the study. This study had two components. The first component of the study was the development and implementation of an infrastructure that integrated Promotores who teach diabetes self-management into a community clinic. The second component was a six-month randomized clinical trial (RCT) designed to test the effectiveness of the Promotores in changing knowledge, beliefs, and HbA1c levels among Mexican American patients with type 2 diabetes. ^ Methods. Starfield's adaptation of the Donbedian structure, process, and outcome methodology was used to develop a clinic infrastructure that allowed the integration of Promotores as diabetes educators. The RCT of the culturally sensitive Promotores-led 10-week diabetes self-management program compared the outcomes of 63 patients in the intervention group with 68 patients in a wait-list, usual care control group. Participants were Mexican Americans, at least 18 years of age, with type 2 diabetes, who were patients at a Federally Qualified Health Center on the Texas-Mexico border. At baseline, three months, and six months, data were collected using the Diabetes Knowledge Questionnaire (DKQ, the Health Beliefs Questionnaire (HBQ, and HbA1c levels were drawn by the clinic laboratory. A mixed model methodology was used to analyze the data. ^ Results. The infrastructure to support a Promotores-led diabetes self-management course designed in concert with administration, the physicians, and the CDE, resulted in (1) employment of Promotores to teach diabetes self-management courses; (2) integration of provider and nurse oversight of course design and implementation; (3) management of Promotora training, and the development of teaching competencies and skills; (4) coordination of care through communication and documentation policies and procedures; (5) utilization of quality control mechanisms to maintain patient safety; and (6) promotion of a culturally competent approach to the educational process. The RCT resulted in a significant improvement in the intervention group's DKQ scores over time (F [1, 129] = 4.77, p = 0.0308), and in treatment by time (F [2, 168] = 5.85, p = 0.0035). Neither the HBQ scores nor the HbA1c changed over time. However, the baseline HbA1c was 7.49, almost at the therapeutic level. The DKQ, HBQ, and HbA1c results were significantly affected by age; the DKQ and HbA1c by years with diabetes. ^ Conclusions. The clinic model provides a systematic approach to safely address the educational needs of large numbers of patients with type 2 diabetes who live in communities that suffer from a lack of health care professionals. The Promotores-led diabetes self-management course improved the knowledge of patients with diabetes and may be a culturally sensitive strategy for meeting patient educational needs. The low baseline HbA1c levels in this border community suggested that patients in this Federally Qualified Health Center on the Texas-Mexico border were experiencing good medical management of their diabetes. ^

The role of workplace absence as an organizational mechanism in predicting employee alcohol and drug disorders

Background. EAP programs for airline pilots in companies with a well developed recovery management program are known to reduce pilot absenteeism following treatment. Given the costs and safety consequences to society, it is important to identify pilots who may be experiencing an AOD disorder to get them into treatment. ^ Hypotheses. This study investigated the predictive power of workplace absenteeism in identifying alcohol or drug disorders (AOD). The first hypothesis was that higher absenteeism in a 12-month period is associated with higher risk that an employee is experiencing AOD. The second hypothesis was that AOD treatment would reduce subsequent absence rates and the costs of replacing pilots on missed flights. ^ Methods. A case control design using eight years (time period) of monthly archival absence data (53,000 pay records) was conducted with a sample of (N = 76) employees having an AOD diagnosis (cases) matched 1:4 with (N = 304) non-diagnosed employees (controls) of the same profession and company (male commercial airline pilots). Cases and controls were matched on the variables age, rank and date of hire. Absence rate was defined as sick time hours used over the sum of the minimum guarantee pay hours annualized using the months the pilot worked for the year. Conditional logistic regression was used to determine if absence predicts employees experiencing an AOD disorder, starting 3 years prior to the cases receiving the AOD diagnosis. A repeated measures ANOVA, t tests and rate ratios (with 95% confidence intervals) were conducted to determine differences between cases and controls in absence usage for 3 years pre and 5 years post treatment. Mean replacement costs were calculated for sick leave usage 3 years pre and 5 years post treatment to estimate the cost of sick leave from the perspective of the company. ^ Results. Sick leave, as measured by absence rate, predicted the risk of being diagnosed with an AOD disorder (OR 1.10, 95% CI = 1.06, 1.15) during the 12 months prior to receiving the diagnosis. Mean absence rates for diagnosed employees increased over the three years before treatment, particularly in the year before treatment, whereas the controls’ did not (three years, x = 6.80 vs. 5.52; two years, x = 7.81 vs. 6.30, and one year, x = 11.00cases vs. 5.51controls. In the first year post treatment compared to the year prior to treatment, rate ratios indicated a significant (60%) post treatment reduction in absence rates (OR = 0.40, CI = 0.28, 0.57). Absence rates for cases remained lower than controls for the first three years after completion of treatment. Upon discharge from the FAA and company’s three year AOD monitoring program, case’s absence rates increased slightly during the fourth year (controls, x = 0.09, SD = 0.14, cases, x = 0.12, SD = 0.21). However, the following year, their mean absence rates were again below those of the controls (controls, x = 0.08, SD = 0.12, cases, x¯ = 0.06, SD = 0.07). Significant reductions in costs associated with replacing pilots calling in sick, were found to be 60% less, between the year of diagnosis for the cases and the first year after returning to work. A reduction in replacement costs continued over the next two years for the treated employees. ^ Conclusions. This research demonstrates the potential for workplace absences as an active organizational surveillance mechanism to assist managers and supervisors in identifying employees who may be experiencing or at risk of experiencing an alcohol/drug disorder. Currently, many workplaces use only performance problems and ignore the employee’s absence record. A referral to an EAP or alcohol/drug evaluation based on the employee’s absence/sick leave record as incorporated into company policy can provide another useful indicator that may also carry less stigma, thus reducing barriers to seeking help. This research also confirms two conclusions heretofore based only on cross-sectional studies: (1) higher absence rates are associated with employees experiencing an AOD disorder; (2) treatment is associated with lower costs for replacing absent pilots. Due to the uniqueness of the employee population studied (commercial airline pilots) and the organizational documentation of absence, the generalizability of this study to other professions and occupations should be considered limited. ^ Transition to Practice. The odds ratios for the relationship between absence rates and an AOD diagnosis are precise; the OR for year of diagnosis indicates the likelihood of being diagnosed increases 10% for every hour change in sick leave taken. In practice, however, a pilot uses approximately 20 hours of sick leave for one trip, because the replacement will have to be paid the guaranteed minimum of 20 hour. Thus, the rate based on hourly changes is precise but not practical. ^ To provide the organization with practical recommendations the yearly mean absence rates were used. A pilot flies on average, 90 hours a month, 1080 annually. Cases used almost twice the mean rate of sick time the year prior to diagnosis (T-1) compared to controls (cases, x = .11, controls, x = .06). Cases are expected to use on average 119 hours annually (total annual hours*mean annual absence rate), while controls will use 60 hours. The cases’ 60 hours could translate to 3 trips of 20 hours each. Management could use a standard of 80 hours or more of sick time claimed in a year as the threshold for unacceptable absence, a 25% increase over the controls (a cost to the company of approximately of $4000). At the 80-hour mark, the Chief Pilot would be able to call the pilot in for a routine check as to the nature of the pilot’s excessive absence. This management action would be based on a company standard, rather than a behavioral or performance issue. Using absence data in this fashion would make it an active surveillance mechanism. ^

Pediatric obesity: Managed care collaborating with providers to improve diagnosis and treatment

Child overweight and obesity reaches across ethnic, cultural, socioeconomic and regional barriers. It must be assessed, diagnosed and treated to help families make sustainable behavior changes. Treatment recommendations have been made to address pediatric overweight and obesity. They include screening for risk factors, monitoring BMI trends and educating patients and families to make small sustainable changes. Health insurance companies can play a meaningful role in supporting and facilitating provider education and behavior change to diagnose, treat and prevent pediatric overweight and obesity.^ The aims of this thesis were: (1) Describe a disease management program that uses evidence-based practices to create provider behavior change related to pediatric obesity screening, diagnosis and treatment. (2) Identify ways to improve the implementation of the program based on the perceptions of participating clinicians.^ A literature review was completed to evaluate current recommendations for screening and treating pediatric obesity using the Ovid data base. The evidenced-based recommendations were compared against the practices of the Healthy Lifestyles Program (HeLP). The literature confirmed that HeLP is following evidence-based recommendations for assessment, diagnosis and treatment of pediatric obesity.^ A Children’s Mercy Family Health Partners focus group was convened to create a provider survey. The goals of the survey were to assess providers’ perception of the Healthy Lifestyles Program (HeLP). The survey was sent out through email using Survey Monkey. All survey responses were anonymous. The survey was sent to a total of 80 providers who had completed HeLP. Twenty-five percent responded. The survey results were evaluated to make recommendations for HeLP.^ Results of the survey included motivating factors for participation in HeLP. Concern about the increasing prevalence of pediatric obesity was a frequent motivator for participation. Provider barriers to obesity diagnosis were evaluated. Lack of time during clinic visits a frequent barrier to obesity diagnosis. ^ In conclusion several recommendations for the HeLP were made based on survey results. It is recommended that the program evaluate methods and tools for facilitating effective weight management follow up visits. Promotional materials should highlight the increasing prevalence of pediatric obesity when advertising HeLP. These recommendations will be used to refine the current Healthy Lifestyles Program.^

BatNet: a 6LoWPAN-based sensors and actuators network

Improving energy efficiency in buildings is one of the goals of the Smart City initiatives and a challenge for the European Union. This paper presents a 6LoWPAN wireless transducer network (BatNet) as part of an open energy management system. This network has been designed to operate in buildings, to collect environmental information (temperature, humidity, illumination and presence) and electrical consumption in real time (voltage, current and power factor). The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM.

Análisis de la viabilidad técnica de las aerobombas para el riego localizado

Actualmente la agricultura cubana, por ser un sector estratégico en la economía del país, incorpora en su desarrollo y gestión las energías renovables como criterio básico para su viabilidad futura. Sin embargo existen un número de problemas que limitan el desarrollo de estas fuentes energéticas en Cuba, entre los que se encuentran el conocimiento incompleto de su potencial de utilización. Por esta razón, la presente investigación tiene como objetivo la maximización de la superficie regada de un cultivo dado y la determinación del volumen de regulación mínimo, usando una aerobomba tipo, en condiciones ambientales dadas. Se desarrolla una metodología para predecir la máxima potencialidad de las aerobombas para un sistema de riego localizado, basada en el cálculo del balance diario entre las necesidades de agua del cultivo y la disponibilidad de agua. Mediante un ejemplo que ilustra el uso de esta metodología en el cultivo de tomate (Solanum lycopersicum L. var. FL - 5) bajo invernadero en Ciego de Ávila, Cuba, se hace una descripción de los elementos de la instalación propuesta para el suministro de agua por parte de la aerobomba. Se estudiaron varios factores, tales como la serie de velocidad del viento trihoraria ( h V3 , m s-1) para un año medio de viento y para un año medio de poco viento; el caudal suministrado por la aerobomba en función de la altura de elevación ( H , m); y la evapotranspiración diaria del cultivo en invernadero en función de la fecha de siembra. A partir de los factores mencionados se determinaron los volúmenes de agua mensuales necesarios para el riego ( r D , m3 ha-1), la capacidad del depósito de almacenamiento ( dep. V , m3), así como las áreas máximas regables ( r A , ha) para cada variante. Los resultados muestran que el período óptimo de bombeo eólico para el riego del cultivo de tomate en invernadero bajo las condiciones ambientales estudiadas es de noviembre a febrero, y que los factores que más influyen en la superficie que se puede regar con el bombeo eólico son la fecha de plantación y el volumen de depósito. Abstract Currently Cuban agriculture, as a strategic sector in the economy of the country, incorporates in its development and renewable energy management as a basic criterion for its future viability. However, there are a number of problems that limit the development of these energy sources in Cuba, among which are the incomplete knowledge of their potential use. For this reason, this research aims at maximizing the irrigated area of a given culture and determination of minimum control volume, using a type Windpump in given environmental conditions. We develop a methodology to predict the maximum potential of windmills for irrigation system, based on the daily balance calculation between the crop water needs and water availability. Through an example that illustrates the use of this methodology in the cultivation of tomato (Solanum lycopersicum L. var. FL - 5) under greenhouse in Ciego de Avila, Cuba, is a description of the elements of the proposed facility to supply water from the windmill. We studied several factors such as the number of trihoraria wind speed ( h V3 , m s- 1) for an average wind year and an average year with little wind, the flow supplied by the windmill depending on the lift height ( H , m) and daily crop evapotranspiration in greenhouse based on planting date. From the above factors were determined monthly water volumes needed for irrigation ( r D , m3 ha-1), the storage tank capacity ( dep. V , m3) and peak areas irrigated ( r A , ha) for each variant. The results show that the optimal period wind pumping for irrigation of greenhouse tomato crop under the environmental conditions studied is from November to February, and that the factors that influence the surface that can be irrigated with wind pumping are planting date and amount of deposit.

Desarrollo de un entorno inteligente en el contexto del hogar digital

A lo largo de las últimas décadas el desarrollo de la tecnología en muy distintas áreas ha sido vertiginoso. Su propagación a todos los aspectos de nuestro día a día parece casi inevitable y la electrónica de consumo ha invadido nuestros hogares. No obstante, parece que la domótica no ha alcanzado el grado de integración que cabía esperar hace apenas una década. Es cierto que los dispositivos autónomos y con un cierto grado de inteligencia están abriéndose paso de manera independiente, pero el hogar digital, como sistema capaz de abarcar y automatizar grandes conjuntos de elementos de una vivienda (gestión energética, seguridad, bienestar, etc.) no ha conseguido extenderse al hogar medio. Esta falta de integración no se debe a la ausencia de tecnología, ni mucho menos, y numerosos son los estudios y proyectos surgidos en esta dirección. Sin embargo, no ha sido hasta hace unos pocos años que las instituciones y grandes compañías han comenzado a prestar verdadero interés en este campo. Parece que estamos a punto de experimentar un nuevo cambio en nuestra forma de vida, concretamente en la manera en la que interactuamos con nuestro hogar y las comodidades e información que este nos puede proporcionar. En esa corriente se desarrolla este Proyecto Fin de Grado, con el objetivo de aportar un nuevo enfoque a la manera de integrar los diferentes dispositivos del hogar digital con la inteligencia artificial y, lo que es más importante, al modo en el que el usuario interactúa con su vivienda. Más concretamente, se pretende desarrollar un sistema capaz de tomar decisiones acordes al contexto y a las preferencias del usuario. A través de la utilización de diferentes tecnologías se dotará al hogar digital de cierta autonomía a la hora de decidir qué acciones debe llevar a cabo sobre los dispositivos que contiene, todo ello mediante la interpretación de órdenes procedentes del usuario (expresadas de manera coloquial) y el estudio del contexto que envuelve al instante de ejecución. Para la interacción entre el usuario y el hogar digital se desarrollará una aplicación móvil mediante la cual podrá expresar (de manera conversacional) las órdenes que quiera dar al sistema, el cual intervendrá en la conversación y llevará a cabo las acciones oportunas. Para todo ello, el sistema hará principalmente uso de ontologías, análisis semántico, redes bayesianas, UPnP y Android. Se combinará información procedente del usuario, de los sensores y de fuentes externas para determinar, a través de las citadas tecnologías, cuál es la operación que debe realizarse para satisfacer las necesidades del usuario. En definitiva, el objetivo final de este proyecto es diseñar e implementar un sistema innovador que se salga de la corriente actual de interacción mediante botones, menús y formularios a los que estamos tan acostumbrados, y que permita al usuario, en cierto modo, hablar con su vivienda y expresarle sus necesidades, haciendo a la tecnología un poco más transparente y cercana y aproximándonos un poco más a ese concepto de hogar inteligente que imaginábamos a finales del siglo XX. ABSTRACT. Over the last decades the development of technology in very different areas has happened incredibly fast. Its propagation to all aspects of our daily activities seems to be inevitable and the electronic devices have invaded our homes. Nevertheless, home automation has not reached the integration point that it was supposed to just a few decades ago. It is true that some autonomic and relatively intelligent devices are emerging, but the digital home as a system able to control a large set of elements from a house (energy management, security, welfare, etc.) is not present yet in the average home. That lack of integration is not due to the absence of technology and, in fact, there are a lot of investigations and projects focused on this field. However, the institutions and big companies have not shown enough interest in home automation until just a few years ago. It seems that, finally, we are about to experiment another change in our lifestyle and how we interact with our home and the information and facilities it can provide. This Final Degree Project is developed as part of this trend, with the goal of providing a new approach to the way the system could integrate the home devices with the artificial intelligence and, mainly, to the way the user interacts with his house. More specifically, this project aims to develop a system able to make decisions, taking into account the context and the user preferences. Through the use of several technologies and approaches, the system will be able to decide which actions it should perform based on the order interpretation (expressed colloquially) and the context analysis. A mobile application will be developed to enable the user-home interaction. The user will be able to express his orders colloquially though out a conversational mode, and the system will also participate in the conversation, performing the required actions. For providing all this features, the system will mainly use ontologies, semantic analysis, Bayesian networks, UPnP and Android. Information from the user, the sensors and external sources will be combined to determine, through the use of these technologies, which is the operation that the system should perform to meet the needs of the user. In short, the final goal of this project is to design and implement an innovative system, away from the current trend of buttons, menus and forms. In a way, the user will be able to talk to his home and express his needs, experiencing a technology closer to the people and getting a little closer to that concept of digital home that we imagined in the late twentieth century.

Predicción espacio-temporal de la irradiancia solar global a corto plazo en España mediante geoestadística y redes neuronales artificiales

El enriquecimiento del conocimiento sobre la Irradiancia Solar (IS) a nivel de superficie terrestre, así como su predicción, cobran gran interés para las Energías Renovables (ER) - Energía Solar (ES)-, y para distintas aplicaciones industriales o ecológicas. En el ámbito de las ER, el uso óptimo de la ES implica contar con datos de la IS en superficie que ayuden tanto, en la selección de emplazamientos para instalaciones de ES, como en su etapa de diseño (dimensionar la producción) y, finalmente, en su explotación. En este último caso, la observación y la predicción es útil para el mercado energético, la planificación y gestión de la energía (generadoras y operadoras del sistema eléctrico), especialmente en los nuevos contextos de las redes inteligentes de transporte. A pesar de la importancia estratégica de contar con datos de la IS, especialmente los observados por sensores de IS en superficie (los que mejor captan esta variable), estos no siempre están disponibles para los lugares de interés ni con la resolución espacial y temporal deseada. Esta limitación se une a la necesidad de disponer de predicciones a corto plazo de la IS que ayuden a la planificación y gestión de la energía. Se ha indagado y caracterizado las Redes de Estaciones Meteorológicas (REM) existentes en España que publican en internet sus observaciones, focalizando en la IS. Se han identificado 24 REM (16 gubernamentales y 8 redes voluntarios) que aglutinan 3492 estaciones, convirtiéndose éstas en las fuentes de datos meteorológicos utilizados en la tesis. Se han investigado cinco técnicas de estimación espacial de la IS en intervalos de 15 minutos para el territorio peninsular (3 técnicas geoestadísticas, una determinística y el método HelioSat2 basado en imágenes satelitales) con distintas configuraciones espaciales. Cuando el área de estudio tiene una adecuada densidad de observaciones, el mejor método identificado para estimar la IS es el Kriging con Regresión usando variables auxiliares -una de ellas la IS estimada a partir de imágenes satelitales-. De este modo es posible estimar espacialmente la IS más allá de los 25 km identificados en la bibliografía. En caso contrario, se corrobora la idoneidad de utilizar estimaciones a partir de sensores remotos cuando la densidad de observaciones no es adecuada. Se ha experimentado con el modelado de Redes Neuronales Artificiales (RNA) para la predicción a corto plazo de la IS utilizando observaciones próximas (componentes espaciales) en sus entradas y, los resultados son prometedores. Así los niveles de errores disminuyen bajo las siguientes condiciones: (1) cuando el horizonte temporal de predicción es inferior o igual a 3 horas, las estaciones vecinas que se incluyen en el modelo deben encentrarse a una distancia máxima aproximada de 55 km. Esto permite concluir que las RNA son capaces de aprender cómo afectan las condiciones meteorológicas vecinas a la predicción de la IS. ABSTRACT ABSTRACT The enrichment of knowledge about the Solar Irradiance (SI) at Earth's surface and its prediction, have a high interest for Renewable Energy (RE) - Solar Energy (SE) - and for various industrial and environmental applications. In the field of the RE, the optimal use of the SE involves having SI surface to help in the selection of sites for facilities ES, in the design stage (sizing energy production), and finally on their production. In the latter case, the observation and prediction is useful for the market, planning and management of the energy (generators and electrical system operators), especially in new contexts of smart transport networks (smartgrid). Despite the strategic importance of SI data, especially those observed by sensors of SI at surface (the ones that best measure this environmental variable), these are not always available to the sights and the spatial and temporal resolution desired. This limitation is bound to the need for short-term predictions of the SI to help planning and energy management. It has been investigated and characterized existing Networks of Weather Stations (NWS) in Spain that share its observations online, focusing on SI. 24 NWS have been identified (16 government and 8 volunteer networks) that implies 3492 stations, turning it into the sources of meteorological data used in the thesis. We have investigated five technical of spatial estimation of SI in 15 minutes to the mainland (3 geostatistical techniques and HelioSat2 a deterministic method based on satellite images) with different spatial configurations. When the study area has an adequate density of observations we identified the best method to estimate the SI is the regression kriging with auxiliary variables (one of them is the SI estimated from satellite images. Thus it is possible to spatially estimate the SI beyond the 25 km identified in the literature. Otherwise, when the density of observations is inadequate the appropriateness is using the estimates values from remote sensing. It has been experimented with Artificial Neural Networks (ANN) modeling for predicting the short-term future of the SI using observations from neighbor’s weather stations (spatial components) in their inputs, and the results are promising. The error levels decrease under the following conditions: (1) when the prediction horizon is less or equal than 3 hours the best models are the ones that include data from the neighboring stations (at a maximum distance of 55 km). It is concluded that the ANN is able to learn how weather conditions affect neighboring prediction of IS at such Spatio-temporal horizons.

Advances in technologies and techniques for ambient intelligence

Human activity attracting a lot of research activity in several fields including the use of wireless sensors, positioning technologies and techniques, embedded computing, remote sensing and energy management among others. There are a number of applications where the results of those investigations can be applied, including ambient intelligence to support human activity, particularly the elderly and disabled people. Ambient intelligence is a new paradigm for the information and communications technologies where the electronic/digital environment takes care of the people presence and their needs, becoming an active, adaptive and responsive environment.

Sistema para el análisis del consumo eléctrico y optimización en la contratación del suministro

El presente trabajo se enmarca en el ámbito de la eficiencia energética y contempla la gestión del consumo eléctrico en hogares. Concretamente, para este proyecto fin de grado se propone el desarrollo de un sistema informático que permita el análisis y monitorización del consumo eléctrico y optimización en la contratación del suministro eléctrico en el hogar. El sistema desarrollado permite la monitorización del consumo eléctrico, expresado en kilovatios-hora (kWh), y la monitorización del coste real de dicho consumo, expresado en euros, en función del tipo de tarifa que se tenga contratada en la modalidad del PVPC1 (Precio Voluntario para el Pequeño Consumidor). También se ha desarrollado una interfaz web a través de la cual el usuario tiene acceso a la información y datos del sistema. En dicha web se muestran gráficas de consumo, potencia, voltaje, corriente y coste de la energía por días. Además, se ha dotado al sistema de un generador de alertas que notifica al usuario, vía web y vía correo electrónico, cuando el consumo sobrepasa los límites fijados por él mismo. El usuario, por tanto, podrá definir los valores de alerta de sobreconsumo y visualizar tanto un histórico de las alertas generadas en el pasado como las alertas activas en ese momento. Las alertas se muestran en la gráfica correspondiente dentro de la aplicación web. Por último, se dispone de la opción de exportar las gráficas que son visualizadas en la aplicación web en formato PNG, JPEG, PDF y SVG, además de la posibilidad de imprimirla.---ABSTRACT---This project belongs to the Energy Efficiency field and is aimed at home energy management. Specifically, for this thesis the development of a computer system that allows monitoring and analysis of energy consumption and contracted power optimization is proposed. The developed system allows energy consumption management within households (expressed in kilowatts per hour, kWh) and real cost monitoring (in euros) according to the contract tariff. A web interface has been developed in order to provide the user with power consumption information and control energy tools. In this web application, electric consumption, power, voltage, current and energy cost by day are shown. Besides, an alert generation system has been implemented so that the user can define maximum power consumption values and be informed through email or web when these values are exceeded. The user will be able to check older power alerts as well as the currently active ones. These alerts are shown in a specific graph within the web application. Finally, the user generated graphs can be exported from the web using PNG, JPEG, PDF or SVG image formats as well as be printed from the web.

Criterios de selección de tecnologías sostenibles de generación de energía para el riego en invernaderos

Esta tesis desarrolla una metodología para comparar la viabilidad económica de distintas tecnologías de suministro energético para el bombeo de agua de riego en invernaderos tanto en España, Cuba o Pakistán (países con diferentes estados de desarrollo). En concreto, se analiza el bombeo directo eólico, el bombeo solar fotovoltaico, el bombeo con generadores diesel, y mediante conexión a la red eléctrica. El análisis tuvo en cuenta los recursos eólicos y solar, la altura de elevación, el tamaño de invernadero, la distancia al punto de conexión a la red, las necesidades de almacenamiento de agua y las fechas de siembra. Las comparaciones se realizaron usando un criterio técnico-económico basado en el coste normalizado de la energía de cada tecnología. En los tres países, el bombeo directo eólico no sería económicamente recomendable, en el caso de existir una conexión a la red. Allí donde no existe conexión a la red, la distancia a la red y los recursos eólico y solar disponibles son los factores clave a tener en cuenta a la hora de decidir entre las diferentes tecnologías. Por otro lado, la altura del bombeo del agua tiene una gran influencia sobre la viabilidad económica del bombeo directo eólico, mucho más que, por ejemplo, en el caso del bombeo solar fotovoltaico. En general, los resultados revelan que los factores críticos a tener en cuenta a la hora de elegir la solución energética óptima son diferentes en cada uno de los países. En el caso de España, la proximidad a los puntos de conexión de la red eléctrica determina que ésta sea la mejor opción. El limitado potencial eólico es el factor limitante en Pakistán. En Cuba, la altura del bombeo, la distancia al punto de conexión de la red eléctrica y el almacenamiento de agua necesario son los factores críticos para determinar la tecnología más apropiada para el bombeo al disponer de buenos recursos solar y eólico. ABSTRACT This thesis develops a methodology for comparing the economic feasibility of wind pump technology, solar photovoltaic pumping, diesel generators, and connection to the electrical grid to provide energy for pumping irrigation water in commercial greenhouses in Spain, Cuba and Pakistan (countries with different developmental backgrounds). The analysis studied the importance of the wind and solar resource, the water elevation, the greenhouse size, the distance to the grid, the pumping elevation, the water storage tank volume requirements, and the planting dates. Comparisons were made in terms of the levelised cost of energy associated with each technology. For all three countries, if a grid connection was already in place, installing wind pumps would be economically unwise. Where no grid connection exists, the distance to the grid and the wind and solar resources available are key factors to be taken into consideration when deciding between options. Finally, the water elevation has a major influence on the economic feasibility of wind pump technology, much more than, for example, on solar photovoltaic pumping technology. The results reveal that, generally, the critical factors to consider when making energy management decisions differ depending between countries. In Spain, the proximity of the electrical grid makes the connection to it the best option. In Pakistan, scarce wind resources are a serious limiting factor. Cuba, however, has good wind and solar resources; water elevation, distance to the grid, and water storage needed are the critical factors when determining the economic feasibility of wind pumping.

FWS/0BS.

79/39

FWS/0BS.

80/29