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.

About the origin of low wafer performance and crystal defect generation on seed-cast growth of industrial mono-like silicon ingots

The era of the seed-cast grown monocrystalline-based silicon ingots is coming. Mono-like, pseudomono or quasimono wafers are product labels that can be nowadays found in the market, as a critical innovation for the photovoltaic industry. They integrate some of the most favorable features of the conventional silicon substrates for solar cells, so far, such as the high solar cell efficiency offered by the monocrystalline Czochralski-Si (Cz-Si) wafers and the lower cost, high productivity and full square-shape that characterize the well-known multicrystalline casting growth method. Nevertheless, this innovative crystal growth approach still faces a number of mass scale problems that need to be resolved, in order to gain a deep, 100% reliable and worldwide market: (i) extended defects formation during the growth process; (ii) optimization of the seed recycling; and (iii) parts of the ingots giving low solar cells performance, which directly affect the production costs and yield of this approach. Therefore, this paper presents a series of casting crystal growth experiments and characterization studies from ingots, wafers and cells manufactured in an industrial approach, showing the main sources of crystal defect formation, impurity enrichment and potential consequences at solar cell level. The previously mentioned technological drawbacks are directly addressed, proposing industrial actions to pave the way of this new wafer technology to high efficiency solar cells.

NGCPV: a new generation of concentrator photovoltaic cells, modules and systems

Starting on June 2011, NGCPV is the first project funded jointly between the European Commission (EC) and the New Energy and Industrial Technology Development Organization (NEDO) of Japan to research on new generation concentration photovoltaics (CPV). The Project, through a collaborative research between seven European and nine Japanese leading research centers in the field of CPV, aims at lowering the cost of the CPVproduced photovoltaic kWh down to 5 ?cents. The main objective of the project is to improve the present concentrator cell, module and system efficiency, as well as developing advanced characterization tools for CPV components and systems. As particular targets, the project aims at achieving a cell efficiency of at least 45% and a CPV module with an efficiency greater than 35%. This paper describes the R&D activities that are being carried out within the NGCPV project and summarizes some of the most relevant results that have already been attained, for instance: the manufacturing of a 44.4% world record efficiency triple junction solar cell (by Sharp Corp.) and the installation of a 50 kWp experimental CPV plant in Spain, which will be used to obtain accurate forecasts of the energy produced at system level.

AALUMO: a user model ontology for ambient assisted living services supported in next-generation networks

Ambient Assisted Living (AAL) services are emerging as context-awareness solutions to support elderly people?s autonomy. The context-aware paradigm makes applications more user-adaptive. In this way, context and user models expressed in ontologies are employed by applications to describe user and environment characteristics. The rapid advance of technology allows creating context server to relieve applications of context reasoning techniques. Specifically, the Next Generation Networks (NGN) provides by means of the presence service a framework to manage the current user's state as well as the user's profile information extracted from Internet and mobile context. This paper propose a user modeling ontology for AAL services which can be deployed in a NGN environment with the aim at adapting their functionalities to the elderly's context information and state.

Electricity production usíng different photovoltaic technologies working at the same conditíons , a real case

The manufacture of photovoltaic (PV) modules has greatly increased in the past few years. The classical PV module is based on crystalline silicon (e-Si) , nevertheless the so called thinfilm technology is gaining importance each year. In this research paper we present a experimental grid-connected solar plant situated in one of the buildings of the Technical University of Madrid, with two main objectives.

Mixed models for short-run forecasting of electricity prices: Application for the Spanish market

Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every profit maximization strategy. In this article a new and very easy method to compute accurate forecasts for electricity prices using mixed models is proposed. The main idea is to develop an efficient tool for one-step-ahead forecasting in the future, combining several prediction methods for which forecasting performance has been checked and compared for a span of several years. Also as a novelty, the 24 hourly time series has been modelled separately, instead of the complete time series of the prices. This allows one to take advantage of the homogeneity of these 24 time series. The purpose of this paper is to select the model that leads to smaller prediction errors and to obtain the appropriate length of time to use for forecasting. These results have been obtained by means of a computational experiment. A mixed model which combines the advantages of the two new models discussed is proposed. Some numerical results for the Spanish market are shown, but this new methodology can be applied to other electricity markets as well

Pre-diseño de una instalación mixta fotovoltaica-térmica para una vivienda

El objetivo del presente proyecto es realizar el pre-diseño de una instalación solar mixta fotovoltaica-térmica para satisfacer la demanda eléctrica para iluminación y para parte de las necesidades de energía térmica para agua caliente de una vivienda. El proyecto define las condiciones técnicas de la instalación a partir de la radiación solar registrada en la localización elegida. Además de incluir el estudio económico y los planos correspondientes que indican la viabilidad del mismo. Como puntos a destacar en el proyecto, se puede tomar los datos obtenidos de generación eléctrica y térmica, la viabilidad técnica y económica y el análisis de la incipiente tecnología de paneles híbridos fotovoltaicos-térmicos. La incorporación de las energías renovables es ya una realidad para las viviendas de nueva construcción, en cambio son pocas las nuevas instalaciones en edificios o viviendas ya construidas. Es importante promover este tipo de tecnologías con objetivo de reducir la dependencia actual de los combustibles fósiles y evitar así sus efectos nocivos al medio ambiente. ABSTRACT The purpose of this project is to carry out the draft design of a solar mixed photovoltaic-thermal installation to satisfy the electrical and thermal demand in a building, for lighting as well as for some of the energy required for water heating. The project defines the technical conditions of the system, given the solar radiation registered in the chosen location. It also includes the economic analysis and the respective plans that indicates the viability of the project. The highlights of the project are the following: electricity and thermal energy generation data, the technical and financial viability and the analysis of the new technology of the Photovoltaic-Thermal hybrid solar collectors. The inclusion of renewable energies is already a living reality for newly constructed buildings. By contrast, they are rarely implemented in old buildings. In order to be able to reduce the fossil fuels dependency, and in doing so, avoid its damaging effects on the environment, it is very important to promote the use of these cleaner technologies.

Present and future of photovoltaic solar electricity

Introduction Crystalline silicon technology, from quartz to system Economical and environmental issues Alternatives to cristalline silicon technology Conclusions

Integración arquitectónica y constructiva de sistemas fotovoltaicos de tecnología de lámina delgada en relación con la disipación térmica y almacenamiento de calor

Esta tesis doctoral contribuye al análisis y desarrollo de nuevos elementos constructivos que integran sistemas de generación eléctrica a través de células fotovoltaicas (FV); particularmente, basados en tecnología FV de lámina delgada. Para ello se estudia el proceso de la integración arquitectónica de éstos elementos (conocido internacionalmente como “Building Integrated Photovoltaic – BIPV”) mediante diferentes metodologías. Se inicia con el estudio de los elementos fotovoltaicos existentes y continúa con los materiales que conforman actualmente las pieles de los edificios y su posible adaptación a las diferentes tecnologías. Posteriormente, se propone una estrategia de integración de los elementos FV en los materiales constructivos. En ésta se considera la doble función de los elementos BIPV, eléctrica y arquitectónica, y en especial se plantea el estudio de la integración de elementos de disipación térmica y almacenamiento de calor mediante los materiales de cambio de fase (“Phase Change Materials – PCM”), todo esto con el objeto de favorecer el acondicionamiento térmico pasivo a través del elemento BIPV. Para validar dicha estrategia, se desarrolla una metodología experimental que consiste en el diseño y desarrollo de un prototipo denominado elemento BIPV/TF – PCM, así como un método de medida y caracterización en condiciones de laboratorio. Entre los logros alcanzados, destaca la multifuncionalidad de los elementos BIPV, el aprovechamiento de la energía residual del elemento, la reducción de los excedentes térmicos que puedan modificar el balance térmico de la envolvente del edificio, y las mejoras conseguidas en la producción eléctrica de los módulos fotovoltaicos por reducción de temperatura, lo que hará más sostenible la solución BIPV. Finalmente, como resultado del análisis teórico y experimental, esta tesis contribuye significativamente al estudio práctico de la adaptabilidad de los elementos BIPV en el entorno urbano por medio de una metodología que se basa en el desarrollo y puesta en marcha de una herramienta informática, que sirve tanto a ingenieros como arquitectos para verificar la calidad de la integración arquitectónica y calidad eléctrica de los elementos FV, antes, durante y después de la ejecución de un proyecto constructivo. ABSTRACT This Doctoral Thesis contributes to the analysis and development of new building elements that integrate power generation systems using photovoltaic solar cells (PV), particularly based on thin-film PV technology. For this propose, the architectural integration process is studied (concept known as "Building Integrated Photovoltaic - BIPV") by means of different methodologies. It begins with the study of existing PV elements and materials that are currently part of the building skins and the possible adaptation to different technologies. Subsequently, an integration strategy of PV elements in building materials is proposed. Double function of BIPV elements is considered, electrical and architectural, especially the heat dissipation and heat storage elements are studied, particularly the use Phase Change Materials– PCM in order to favor the thermal conditioning of buildings by means of the BIPV elements. For this propose, an experimental methodology is implemented, which consist of the design and develop of a prototype "BIPV/TF- PCM element" and measurement method (indoor laboratory conditions) in order to validate this strategy. Among the most important achievements obtained of this develop and results analysis includes, in particular, the multifunctionality of BIPV elements, the efficient use of the residual energy of the element, reduction of the excess heat that it can change the heat balance of the building envelope and improvements in electricity production of PV modules by reducing the temperature, are some benefits achieved that make the BIPV element will be more sustainable. Finally, as a result of theoretical and experimental analysis, this thesis contributes significantly to the practical study of the adaptability of BIPV elements in the urban environment by means of a novel methodology based on the development and implementation by computer software of a useful tool which serves as both engineers and architects to verify the quality of architectural integration and electrical performance of PV elements before, during, and after execution of a building projects.

Planta de trigeneración para industria papelera

El alcance de este proyecto es dimensionar un sistema de trigeneración para una industria papelera. El proyecto se realizará en base a la propuesta de la nueva reforma de la ley energética, por la cual no se podrá vender la energía eléctrica generada a la red sino que toda la energía generada ha de ser utilizada de forma exclusiva para autoconsumo. En primer lugar se desarrolla un proceso de selección de los equipos y tecnologías para la cogeneración, que posteriormente servirá para el dimensionamiento de la planta, en el cual se elegirá la tecnología oportuna para la generación de energía eléctrica y energía térmica, tanto en forma de frío como de calor. Con este estudio se podrá calcular el ahorro conseguido por el nuevo sistema propuesto, comparado con los costes de la generación por sistemas convencionales y desde ese ahorro, analizar la rentabilidad y viabilidad del proyecto en función de la inversión inicial que supone dicho proyecto. Abstract The scope of this project is to measure a trigeneration system for paper industry. The project will be based on the proposal of the new reform of the energy law, by which the electricity generated to the network may not be sold but that all the generated energy has to be used exclusively for self-consumption. First of all the study develops a process of selection of the equipment and technologies for cogeneration, which subsequently will be used for the dimensioning of the plant, the result will be an election of the appropriate technology for the generation of electric power and heat energy, both in the form of cold and heat. With this study the savings achieved by the new proposed system will be estimated, compared with costs of conventional generation and from these savings, analized for profitability and viability of the project on the basis of the initial investment involved in this project.

Optimal Combined Forecasts for Electricity Prices: Influence of Clean Energies

In this work, an electricity price forecasting model is developed. The performance of the proposed approach is improved by considering renewable energies (wind power and hydro generation) as explanatory variables. Additionally, the resulting forecasts are obtained as an optimal combination of a set of several univariate and multivariate time series models. The large computational experiment carried out using out-of-sample forecasts for every hour and day allows withdrawing statistically sound conclusions

A swarm intelligence approach based on coupled oscillators: an application in demand side management with photovoltaic distributed generation

Esta Tesis aborda los problemas de eficiencia de las redes eléctrica desde el punto de vista del consumo. En particular, dicha eficiencia es mejorada mediante el suavizado de la curva de consumo agregado. Este objetivo de suavizado de consumo implica dos grandes mejoras en el uso de las redes eléctricas: i) a corto plazo, un mejor uso de la infraestructura existente y ii) a largo plazo, la reducción de la infraestructura necesaria para suplir las mismas necesidades energéticas. Además, esta Tesis se enfrenta a un nuevo paradigma energético, donde la presencia de generación distribuida está muy extendida en las redes eléctricas, en particular, la generación fotovoltaica (FV). Este tipo de fuente energética afecta al funcionamiento de la red, incrementando su variabilidad. Esto implica que altas tasas de penetración de electricidad de origen fotovoltaico es perjudicial para la estabilidad de la red eléctrica. Esta Tesis trata de suavizar la curva de consumo agregado considerando esta fuente energética. Por lo tanto, no sólo se mejora la eficiencia de la red eléctrica, sino que también puede ser aumentada la penetración de electricidad de origen fotovoltaico en la red. Esta propuesta conlleva grandes beneficios en los campos económicos, social y ambiental. Las acciones que influyen en el modo en que los consumidores hacen uso de la electricidad con el objetivo producir un ahorro energético o un aumento de eficiencia son llamadas Gestión de la Demanda Eléctrica (GDE). Esta Tesis propone dos algoritmos de GDE diferentes para cumplir con el objetivo de suavizado de la curva de consumo agregado. La diferencia entre ambos algoritmos de GDE reside en el marco en el cual estos tienen lugar: el marco local y el marco de red. Dependiendo de este marco de GDE, el objetivo energético y la forma en la que se alcanza este objetivo son diferentes. En el marco local, el algoritmo de GDE sólo usa información local. Este no tiene en cuenta a otros consumidores o a la curva de consumo agregado de la red eléctrica. Aunque esta afirmación pueda diferir de la definición general de GDE, esta vuelve a tomar sentido en instalaciones locales equipadas con Recursos Energéticos Distribuidos (REDs). En este caso, la GDE está enfocada en la maximización del uso de la energía local, reduciéndose la dependencia con la red. El algoritmo de GDE propuesto mejora significativamente el auto-consumo del generador FV local. Experimentos simulados y reales muestran que el auto-consumo es una importante estrategia de gestión energética, reduciendo el transporte de electricidad y alentando al usuario a controlar su comportamiento energético. Sin embargo, a pesar de todas las ventajas del aumento de auto-consumo, éstas no contribuyen al suavizado del consumo agregado. Se han estudiado los efectos de las instalaciones locales en la red eléctrica cuando el algoritmo de GDE está enfocado en el aumento del auto-consumo. Este enfoque puede tener efectos no deseados, incrementando la variabilidad en el consumo agregado en vez de reducirlo. Este efecto se produce porque el algoritmo de GDE sólo considera variables locales en el marco local. Los resultados sugieren que se requiere una coordinación entre las instalaciones. A través de esta coordinación, el consumo debe ser modificado teniendo en cuenta otros elementos de la red y buscando el suavizado del consumo agregado. En el marco de la red, el algoritmo de GDE tiene en cuenta tanto información local como de la red eléctrica. En esta Tesis se ha desarrollado un algoritmo autoorganizado para controlar el consumo de la red eléctrica de manera distribuida. El objetivo de este algoritmo es el suavizado del consumo agregado, como en las implementaciones clásicas de GDE. El enfoque distribuido significa que la GDE se realiza desde el lado de los consumidores sin seguir órdenes directas emitidas por una entidad central. Por lo tanto, esta Tesis propone una estructura de gestión paralela en lugar de una jerárquica como en las redes eléctricas clásicas. Esto implica que se requiere un mecanismo de coordinación entre instalaciones. Esta Tesis pretende minimizar la cantidad de información necesaria para esta coordinación. Para lograr este objetivo, se han utilizado dos técnicas de coordinación colectiva: osciladores acoplados e inteligencia de enjambre. La combinación de estas técnicas para llevar a cabo la coordinación de un sistema con las características de la red eléctrica es en sí mismo un enfoque novedoso. Por lo tanto, este objetivo de coordinación no es sólo una contribución en el campo de la gestión energética, sino también en el campo de los sistemas colectivos. Los resultados muestran que el algoritmo de GDE propuesto reduce la diferencia entre máximos y mínimos de la red eléctrica en proporción a la cantidad de energía controlada por el algoritmo. Por lo tanto, conforme mayor es la cantidad de energía controlada por el algoritmo, mayor es la mejora de eficiencia en la red eléctrica. Además de las ventajas resultantes del suavizado del consumo agregado, otras ventajas surgen de la solución distribuida seguida en esta Tesis. Estas ventajas se resumen en las siguientes características del algoritmo de GDE propuesto: • Robustez: en un sistema centralizado, un fallo o rotura del nodo central provoca un mal funcionamiento de todo el sistema. La gestión de una red desde un punto de vista distribuido implica que no existe un nodo de control central. Un fallo en cualquier instalación no afecta el funcionamiento global de la red. • Privacidad de datos: el uso de una topología distribuida causa de que no hay un nodo central con información sensible de todos los consumidores. Esta Tesis va más allá y el algoritmo propuesto de GDE no utiliza información específica acerca de los comportamientos de los consumidores, siendo la coordinación entre las instalaciones completamente anónimos. • Escalabilidad: el algoritmo propuesto de GDE opera con cualquier número de instalaciones. Esto implica que se permite la incorporación de nuevas instalaciones sin afectar a su funcionamiento. • Bajo coste: el algoritmo de GDE propuesto se adapta a las redes actuales sin requisitos topológicos. Además, todas las instalaciones calculan su propia gestión con un bajo requerimiento computacional. Por lo tanto, no se requiere un nodo central con un alto poder de cómputo. • Rápido despliegue: las características de escalabilidad y bajo coste de los algoritmos de GDE propuestos permiten una implementación rápida. No se requiere una planificación compleja para el despliegue de este sistema. ABSTRACT This Thesis addresses the efficiency problems of the electrical grids from the consumption point of view. In particular, such efficiency is improved by means of the aggregated consumption smoothing. This objective of consumption smoothing entails two major improvements in the use of electrical grids: i) in the short term, a better use of the existing infrastructure and ii) in long term, the reduction of the required infrastructure to supply the same energy needs. In addition, this Thesis faces a new energy paradigm, where the presence of distributed generation is widespread over the electrical grids, in particular, the Photovoltaic (PV) generation. This kind of energy source affects to the operation of the grid by increasing its variability. This implies that a high penetration rate of photovoltaic electricity is pernicious for the electrical grid stability. This Thesis seeks to smooth the aggregated consumption considering this energy source. Therefore, not only the efficiency of the electrical grid is improved, but also the penetration of photovoltaic electricity into the grid can be increased. This proposal brings great benefits in the economic, social and environmental fields. The actions that influence the way that consumers use electricity in order to achieve energy savings or higher efficiency in energy use are called Demand-Side Management (DSM). This Thesis proposes two different DSM algorithms to meet the aggregated consumption smoothing objective. The difference between both DSM algorithms lie in the framework in which they take place: the local framework and the grid framework. Depending on the DSM framework, the energy goal and the procedure to reach this goal are different. In the local framework, the DSM algorithm only uses local information. It does not take into account other consumers or the aggregated consumption of the electrical grid. Although this statement may differ from the general definition of DSM, it makes sense in local facilities equipped with Distributed Energy Resources (DERs). In this case, the DSM is focused on the maximization of the local energy use, reducing the grid dependence. The proposed DSM algorithm significantly improves the self-consumption of the local PV generator. Simulated and real experiments show that self-consumption serves as an important energy management strategy, reducing the electricity transport and encouraging the user to control his energy behavior. However, despite all the advantages of the self-consumption increase, they do not contribute to the smooth of the aggregated consumption. The effects of the local facilities on the electrical grid are studied when the DSM algorithm is focused on self-consumption maximization. This approach may have undesirable effects, increasing the variability in the aggregated consumption instead of reducing it. This effect occurs because the algorithm only considers local variables in the local framework. The results suggest that coordination between these facilities is required. Through this coordination, the consumption should be modified by taking into account other elements of the grid and seeking for an aggregated consumption smoothing. In the grid framework, the DSM algorithm takes into account both local and grid information. This Thesis develops a self-organized algorithm to manage the consumption of an electrical grid in a distributed way. The goal of this algorithm is the aggregated consumption smoothing, as the classical DSM implementations. The distributed approach means that the DSM is performed from the consumers side without following direct commands issued by a central entity. Therefore, this Thesis proposes a parallel management structure rather than a hierarchical one as in the classical electrical grids. This implies that a coordination mechanism between facilities is required. This Thesis seeks for minimizing the amount of information necessary for this coordination. To achieve this objective, two collective coordination techniques have been used: coupled oscillators and swarm intelligence. The combination of these techniques to perform the coordination of a system with the characteristics of the electric grid is itself a novel approach. Therefore, this coordination objective is not only a contribution in the energy management field, but in the collective systems too. Results show that the proposed DSM algorithm reduces the difference between the maximums and minimums of the electrical grid proportionally to the amount of energy controlled by the system. Thus, the greater the amount of energy controlled by the algorithm, the greater the improvement of the efficiency of the electrical grid. In addition to the advantages resulting from the smoothing of the aggregated consumption, other advantages arise from the distributed approach followed in this Thesis. These advantages are summarized in the following features of the proposed DSM algorithm: • Robustness: in a centralized system, a failure or breakage of the central node causes a malfunction of the whole system. The management of a grid from a distributed point of view implies that there is not a central control node. A failure in any facility does not affect the overall operation of the grid. • Data privacy: the use of a distributed topology causes that there is not a central node with sensitive information of all consumers. This Thesis goes a step further and the proposed DSM algorithm does not use specific information about the consumer behaviors, being the coordination between facilities completely anonymous. • Scalability: the proposed DSM algorithm operates with any number of facilities. This implies that it allows the incorporation of new facilities without affecting its operation. • Low cost: the proposed DSM algorithm adapts to the current grids without any topological requirements. In addition, every facility calculates its own management with low computational requirements. Thus, a central computational node with a high computational power is not required. • Quick deployment: the scalability and low cost features of the proposed DSM algorithms allow a quick deployment. A complex schedule of the deployment of this system is not required.

Routines in precision agriculture technology: an action research study

A crop management and precision agriculture software application facilitates the flow of information between disparate software/equipment and the network of individuals that work with them. A new generation of farmers are using precision technology to help them more efficiently manage their roplands. By measuring precisely the way their fields reflect and emit energy at visible and infrared wavelengths, precision farmers can monitor a wide range of variables that affect their crops,such as soil moisture, surface temperature, photosynthetic activity, and weed or pest infestations. Over thirty years have passed since Nelson and Winter put the concept of routines firmly at the center of the analysis of organizational and economic change. Taken as the central unit of analysis, routines would help understand energy and agriculture economy evolution.

Análisis de viabilidad e implantación de sistemas de cogeneración en el sector residencial

En la actualidad la generación y utilización eficientes de la energía es el vector principal que permite el desarrollo sostenible en el marco ambiental, económico, seguro y rentable. Todo ello genera una necesidad en el ser humano de guiar a los avances tecnológicos hacia una manera cada vez más eficiente de generar nuestras necesidades básicas, como es el caso de la energía. La cogeneración ha sido uno de los resultados positivos en la búsqueda de la eficiencia energética, debido a tratarse de un sistema de producción simultánea de calor y electricidad partiendo inicialmente de un combustible como energía primaria. Es por ello, que en el presente proyecto se estudia, analiza y propone la posibilidad de implantar sistemas de cogeneración en el sector residencial, un sector que podría beneficiarse enormemente de los beneficios que ofrecen dichos sistemas. En una primera parte se analiza la tecnología de cogeneración y sus variantes, como son, la microcogeneración y la trigeneración. También se muestra la evolución legislativa que han sufrido estos sistemas. En una segunda parte se ha tomado un caso modelo, un edificio de 72 viviendas con sistema de calderas centralizado convencional, y se ha estudiado la posibilidad de implantar un sistema de cogeneración. Para ello se han calculado previamente las demandas energéticas del edificio y se han ido proponiendo diferentes modos de operación para cubrir dichas demandas por medio de sistemas de microcogeneración o cogeneración. Finalmente, una vez valoradas las opciones se muestra la elegida y se efectúa un análisis económico ABSTRACT Nowadays the efficient generation of energy is the main vector that allows sustainable development in environmental, economic, safety and cost effectiveness. All this generates a need in humans to lead to new technological advances towards an even more efficient way to generate our basic needs, such as energy. Cogeneration has been one of the positive results in the search for energy efficiency, due to the fact that it is a system of simultaneous production of heat and electricity initially starting from a primary energy fuel. It is for this reason that this project studies, analyzes and proposes the possibility of introducing cogeneration systems in the residential sector, a sector that could benefit greatly from the benefits offered by these systems. In the first part, cogeneration technology and its variants are analyzed, like, micro-cogeneration and trigeneration. The legislative evolutions that have suffered these systems are also displayed. In a second part, a model case has been taken; a building of 72 flats with conventional centralized boiler system, the possibility of introducing a cogeneration system has been studied. Previously the energy demands of the building have been calculated proposing different operating modes to meet those demands through micro-CHP or cogeneration systems. Finally, once the options are valued the chosen one is shown and an economic analysis is performed.

Scalable high-order UWB pulse generation employing an FBG-based photonic superstructure

In this letter, we propose and experimentally demonstrate a compact, flexible, and scalable ultrawideband (UWB) generator based on the merge of phase-to-intensity conversion and pulse shaping employing an fiber Bragg Grating-based superstructure. Our approach offers the capacity for generating high-order UWB pulses by means of the combination of various low-order derivatives. Moreover, the scheme permits the implementation of binary and multilevel modulation formats. Experimental measurements of the generated UWB pulses, in both time and frequency domain, are presented revealing efficiency and a proper fit in terms of Federal Communications Commission settled standards.