Proceedings of the Eleventh Annual Biochemical Engineering Symposium

This is the eleventh in a series of symposia devoted to talks by students on their biochemical engineering research. The first, third, fifth, and ninth were at Kansas State University in Manhattan; the second and fourth were at the University of Nebraska–Lincoln; the sixth was in Kansas City in conjunction with the 8lst American Institute of Chemical Engineers National Meeting; the seventh and the tenth were at Iowa State University in Ames; and the eighth was held at the University of Missouri–Columbia. ContentsPretreatment of Wheat Straw for Cellulose Hydrolysis, M. M. Gharpuray, Yong-Hyun Lee, and L. T. Fan, Kansas State University Sugar Production During Autohydrolysis of Wheat Straw, Robert A. Lewis, Colorado State University An Alkaline Copper Reagent for Use in Automated Analysis, Alfred R. Fratzke, Iowa State University Sugars Produced During Extrusion Processing of Corn, Ruth S. Korn, Colorado State University Characterization and Comparison of Renewable Energy Resources, Snehal A. Patel, Kansas State University Anaerobic Digestion of Alcohol Stillage, Laureen K. Binder, Colorado State University Estimation of Growth Yield and Maintenance Parameters, Bamidele 0. Solomon and Mehmet D. Oner, Kansas State University Immobilization of Glucoamylase Using TiCl4 and Organic Titanates, Robert E. Lesch, Iowa State University Solvent Toxicity in the Acetone-Butanol Fermentation, Jeanine M. Costa, Colorado State University

Export Restrictions in relation to Extractive Industries

A new E15 Think Piece by Ilaria Espa produced under the E15Initiative (E15). Implemented jointly by the International Centre for Trade and Sustainable Development (ICTSD) and the World Economic Forum, the E15 convenes world-class experts and institutions to generate strategic analysis and recommendations for government, business and civil society geared towards strengthening the global trade system. This paper considers concrete policy options to better regulate the use of export restrictions in relation to extractive industries. It briefly describes recent trends in the use of export restrictions on mineral and energy resources. It gives an account of the main shortcomings in the WTO legal treatment of export restrictions. It accordingly discusses possible avenues for reforming existing WTO disciplines in the interest of secure access to supplies, while still taking into account the need to preserve some policy space for host countries to use such measures as legitimate development tools.

Elevated pCO2 causes developmental delay in early larval Pacific oysters, Crassostrea gigas

Increasing atmospheric CO2 equilibrates with surface seawater, elevating the concentration of aqueous hydrogen ions. This process, ocean acidification, is a future and contemporary concern for aquatic organisms, causing failures in Pacific oyster (Crassostrea gigas) aquaculture. This experiment determines the effect of elevated pCO2 on the early development of C. gigas larvae from a wild Pacific Northwest population. Adults were collected from Friday Harbor, Washington, USA (48°31.7' N, 12°1.1' W) and spawned in July 2011. Larvae were exposed to Ambient (400 µatm CO2), MidCO2 (700 µatm), or HighCO2 (1,000 µatm). After 24 h, a greater proportion of larvae in the HighCO2 treatment were calcified as compared to Ambient. This unexpected observation is attributed to increased metabolic rate coupled with sufficient energy resources. Oyster larvae raised at HighCO2 showed evidence of a developmental delay by 3 days post-fertilization, which resulted in smaller larvae that were less calcified.

Why do oil importers diversify their import sources politically? : evidence from U.S. firm-level data

International politics affects oil trade. But why? We construct a firm-level dataset for all U.S. oil-importing companies over 1986-2008 to examine what kinds of firms are more responsive to change in "political distance" between the U.S. and her trading partners, measured by divergence in their UN General Assembly voting patterns. Consistent with previous macro evidence, we first show that individual firms diversify their oil imports politically, even after controlling for unobserved firm heterogeneity. We conjecture that the political pattern of oil imports from these individual firms is driven by hold-up risks, because oil trade is often associated with backward vertical FDI. To test this hold-up risk hypothesis, we investigate heterogeneity in responses by matching transaction-level import data with firm-level worldwide reserves. Our results show that long-run oil import decisions are indeed more elastic for firms with oil reserves overseas than those without, although the reverse is true in the short run. We interpret this empirical regularity as that while firms trade in the spot market can adjust their imports immediately, vertically-integrated firms with investment overseas tend to commit to term contracts in the short run even though they are more responsive to changes in international politics in the long run.

The effects of international politics on oil-exporting developing countries

International politics affects oil trade. But does it affect the oil-exporting developing countries more? We construct a firm-level dataset for all U.S. oil-importing companies over 1986-2008 to examine how these firms respond to changes in "political distance" between the U.S. and her trading partners, measured by divergence in their UN General Assembly voting patterns. Consistent with previous macro evidence, we first show that individual firms diversify their oil imports politically, even after controlling for unobserved firm heterogeneity. We conjecture that the political pattern of oil imports from these individual firms is driven by hold-up risks, because oil trade is often associated with backward vertical FDI. To the extent that developing countries have higher hold-up risks because of their weaker institutions, the political effect on oil trade should be more significant in the developing world. We find that oil import decisions are indeed more elastic when firms import from developing countries, although the reverse is true in the short run. Our results suggest that international politics can affect oil revenue and hence long-term development in the developing world.

ロシアの中東政策 -- プーチン大統領のシリア政策を通じて

The active initiative taken by Russian President Vladamir Putin by bombarding the antigovernment forces in Syria at the end of September 2015 startled the world by its precalculated boldness. Russian intervention has radically changed the dynamic of the war by empowering the Syrian government of Bashar Assad, and has resulted in a ceasefire agreement which starts on 27th February 2016, led by Russia and the US. No one can predict at present the next stage of conflicts in Syria or whether it will result in a positive solution to the tragic wars there. However, there is no denying the fact that Russia has played an important role in the development of the game. This paper analyzes the motivations of Putin in intervening in the Syrian crisis and the factors which have enabled Russia to play an enlarged role in the Middle East, seemingly beyond its objective capabilities. Legacies of international networks built during the Soviet period; shrewd tactics in making use of the inconsistency and vacillation of US policies, particularly towards the Middle East; its historical experience of interaction with the Muslim cultures, including domestic ones; its geopolitical perception of world politics, and the export of energy resources and military weapons as tools of diplomacy are some of the factors which explain Russian behavior. At the same time, the personal leadership and accumulated experience of President Putin in formulating Russian diplomacy and in manipulating different issues in a combined policy should be taken into account. His initiative in Syria succeeded to some extent in turning world attention away from the Ukrainian issue, aimed at changing the present sanctions imposed by the West. Another phenomenon to be noted in the international arena is the newly developed mutual interaction between Russia and the Arab countries in the Gulf. Frequent visits to Russia by autocratic leaders, including kings, emirsand princes do not always reflect a shared common interest between Russia and the Arab leaders. On the contrary, in spite of sharp and fundamental differences in their attitude toward the issues related to Syria, Iran and Yemen, the Arab leaders find it necessary to communicate with Russia and to know Russia’s expected strategies and intentions towards the Middle East, apart from its oil and gas policies. The Iran deal on the nuclear issue in July 2015 may have been a factor behind the phenomena.

Concentrating solar power technologies. The DESERTEC megaproject

The European strategies on energy have been searching for years to reduce the dependency of Europe from fossil fuels. Underlying this effort, there exist geopolitical, economic, environmental reasons and the reality that oil reservoirs will dry out some day. Renewable energies have become a milestone of this strategy because their huge potential has emerged after years of uncertainty. One of the better developed renewable sources, which is nearer to commercial maturity is solar-thermal energy. In this paper, the current state of this technology will be described as well as the developments that may be expected in the short and mid terms, including the thermoelectric solar megaproject DESERTEC, a German proposal to ensure energy resources to the mayor areas of the EU-MENA countries. The reader will acquire a picture of the current state of the market, of the technical challenges already achieved and of the remaining ones.

Contribution sharing of a fuel mixture components to the fuel cell potencial of a direct alcohol fuel cell

The increasing worldwide demand for electricity impels to develop clean and renewable energy resources. In the field of portable power devices not only size and weight represent important aspects to take into account, but the fuel and its storage are also critical issues to consider. In this last sense, the direct methanol (MeOH) fuel cells (DMFC) play an important role as they can offer high power and energy density, low emissions, ambient operating conditions and fast and convenient refuelling.

Designing and simulating smart grids

Growing energy demands and the increased use of renewal energies have changed the landscape of power networks leading to new challenges. Smart Grids have emerged to cope with these challenges by facilitating the integration of traditional and renewable energy resources in distributed, open, and self-managed ways. Innovative models are needed to design energy infrastructures that can enable self-management of the power grid. Software architectures smoothly integrate the software that provides self-management to Smart Grids and their hardware infrastructures. We present a framework to design the software architectures of autonomous Smart Grids in an intuitive domain-oriented way and to simulate their execution by automatically generating the code from the designed autonomous smart grid architectures.

Lighting technology

From the economic point of view, additional lighting at night causes enormous costs and is responsible for using up a massive percentage of the worlds energy resources. During recent years, development trends in the field of LED technology have paved the way for novel concepts impacting on the subject oflight. In this way, the abovementioned issues can be greatly reduced resulting in a better balance between the environment and human needs.

Método de análisis diacrónico para la intervención en el alojamiento con criterios ecológicos. El caso de Madrid 1940–2100

Las evidencias del impacto sobre el medio ambiente asociado al funcionamiento de las ciudades hacen que sea urgente proponer medidas que reduzcan este consumo y mejoren la eficiencia del metabolismo urbano. La existencia de límites en la disponibilidad de recursos materiales y energéticos, plantea actualmente un reto importante al ser humano: ¿son posibles otras formas de organización más adecuadas a esta condición de limitación? Para dar respuesta, resulta fundamental conocer cómo interactuarán nuestros sistemas urbanos en un modelo económico de continuo desarrollo, con la población que alojan, y si podrán adaptarse a la capacidad de carga limitada del Planeta, evitando futuras situaciones de colapso anunciadas desde distintos ámbitos científicos. En ese contexto, la tesis formula un método de análisis del alojamiento que, mediante la evaluación a largo plazo, permita proponer medidas de intervención para reducir el consumo de recursos asociado a su funcionamiento. Se parte de un enfoque ecológico para definir el alojamiento como una parte fundamental del sistema urbano, que está compuesto por tres elementos: habitantes, viviendas y recursos naturales; por tanto, para reducir los impactos asociados al alojamiento es necesario tener en cuenta la diferente naturaleza de estos elementos y el carácter dinámico de las relaciones que se producen entre ellos. La Ecología, a través del estudio de los ecosistemas, ha identificado estrategias de supervivencia y adaptación ante los cambios y perturbaciones. La similitud entre los elementos de un ecosistema (población y soporte) y los del alojamiento (habitantes, viviendas y recursos naturales) permite verificar que la aplicación de estas estrategias al alojamiento puede conducir a situaciones más deseables en la relación de los sistemas urbanos con su entorno A partir de esta hipótesis, se propone un método de análisis diacrónico1 o a largo plazo, para conocer la evolución en el tiempo del alojamiento a través de la cuantificación de una serie de indicadores descriptivos de los habitantes, las viviendas y los recursos naturales. La aplicación de este método a un sistema urbano permitiría conocer las características de los elementos del sistema y, para un ámbito temporal de futuro, prever su evolución, identificar escenarios no deseables y proponer medidas de intervención que corrijan anticipadamente estas situaciones y eviten impactos ambientales innecesarios. La validación del método de análisis se realiza mediante la aplicación al caso de Madrid en periodo retrospectivo (de 1940 a 2010) A partir del estudio de la evolución en Madrid de los indicadores seleccionados, se proponen medidas de intervención en el alojamiento basadas en estrategias ecológicas que habrían conducido a una evolución alternativa con un impacto menor sobre el medio ambiente que la situación actual. El método de análisis se aplica con carácter prospectivo definiendo tres escenarios de futuro para Madrid hasta 2100. Para cada uno de ellos se analiza la evolución previsible de los indicadores y se proponen diferentes medidas de intervención que, desde el punto de vista ecológico, conducirían a una situación más adecuada. La tesis concluye en el interés de este método de análisis diacrónico que permite estimar posibilidades en la evolución futura del alojamiento, identificar las necesidades de recursos para responder a las demandas de los habitantes y, desde un enfoque ecológico, definir, cuantificar y evaluar posibles medidas de intervención que reduzcan los impactos ambientales. El método, por tanto, es una herramienta de interés para la toma de decisiones en la intervención en el alojamiento y en la planificación urbana a largo plazo. ABSTRACT Evidence of the impact on the environment associated with the operation of cities make it urgent to propose measures to reduce energy consumption and improve the efficiency of urban metabolism. The limited availability of materials and energy resources currently poses a significant challenge to human beings: are more appropriate forms of organization for this limitation possible? In response, it is essential to know how our urban systems with the population they host will interact in an economic model of continuous development and whether they can adapt to the limited endurance capacity of the planet, thus avoiding future collapse situations which are being announced from different scientific fields. In this context, the thesis puts forward a method of housing analysis that by a long term assessment will enable to propose intervention measures to reduce resource consumption associated with its operation. The thesis is based on an ecological approach to identify housing as a fundamental part of the urban system, which is composed of three elements: inhabitants, homes and natural resources. Therefore, in order to reduce the impacts associated with housing it is necessary to consider the characteristics of these elements and the dynamic nature of the relationships among them. Ecology, through the analysis of ecosystems, has identified strategies for survival and adaptation to changes and disturbances. The similarity between the elements of an ecosystem (population and support) and housing (inhabitants, homes and natural resources) enables to verify that the implementation of these strategies to housing can lead to better situations in the relationship existing between urban systems with their environment. From this hypothesis, a diachronic or long term analysis method is proposed to know the evolution of housing over time through the quantification of a descriptive indicators series of inhabitants, homes and natural resources. The implementation of this method to a urban system would allow better knowledge of the characteristics of these elements and forecast their development, identify undesirable scenarios and propose early intervention measures to correct these situations and avoid unnecessary environmental impacts. The validation of the method of analysis has been proved in the city of Madrid for the years 1940-2010. From the analysis of the evolution of the indicators selected, accommodation intervention measures are proposed based on ecological strategies that would have led to an alternative development having less impact on the environment than that of the current situation. The analysis method is implemented prospectively defining three future scenarios for the city of Madrid until 2100. The likely evolution of the indicators are analyzed for each scenario and various intervention measures that would lead to a better situation from an ecological point of view are proposed. The thesis conclusion states the interest of this diachronic analysis method to estimate potential future developments in the housing field, identify resource requirements to meet the demands of the citizens and, from an ecological approach, define, quantify and assess possible intervention measures to reduce environmental impacts. The method, therefore, is an interesting tool for decision-making process as for the intervention in housing and urban planning in the long term.

Supercritical Steam power cycle for Line-Focus Solar Power Plants

The supercritical Rankine power cycle offers a net improvement in plant efficiency compared with a subcritical Rankine cycle. For fossil power plants the minimum supercritical steam turbine size is about 450MW. A recent study between Sandia National Laboratories and Siemens Energy, Inc., published on March 2013, confirmed the feasibility of adapting the Siemens turbine SST-900 for supercritical steam in concentrated solar power plants, with a live steam conditions 230-260 bar and output range between 140-200 MWe. In this context, this analysis is focused on integrating a line-focus solar field with a supercritical Rankine power cycle. For this purpose two heat transfer fluids were assessed: direct steam generation and molten salt Hitec XL. To isolate solar field from high pressure supercritical water power cycle, an intermediate heat exchanger was installed between linear solar collectors and balance of plant. Due to receiver selective coating temperature limitations, turbine inlet temperature was fixed 550ºC. The design-point conditions were 550ºC and 260 bar at turbine inlet, and 165 MWe Gross power output. Plant performance was assessed at design-point in the supercritical power plant (between 43-45% net plant efficiency depending on balance of plantconfiguration), and in the subcritical plant configuration (~40% net plant efficiency). Regarding the balance of plant configuration, direct reheating was adopted as the optimum solution to avoid any intermediate heat exchanger. One direct reheating stage between high pressure turbine and intermediate pressure turbine is the common practice; however, General Electric ultrasupercritical(350 bar) fossil power plants also considered doubled-reheat applications. In this study were analyzed heat balances with single-reheat, double-reheat and even three reheating stages. In all cases were adopted the proper reheating solar field configurations to limit solar collectors pressure drops. As main conclusion, it was confirmed net plant efficiency improvements in supercritical Rankine line-focus (parabolic or linear Fresnel) solar plant configurations are mainly due to the following two reasons: higher number of feed-water preheaters (up to seven)delivering hotter water at solar field inlet, and two or even three direct reheating stages (550ºC reheating temperature) in high or intermediate pressure turbines. However, the turbine manufacturer should confirm the equipment constrains regarding reheating stages and number of steam extractions to feed-water heaters.

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.

Urban sprawl and city compactness. A proposal for regional sustainability indicators. Case study of the towns of Alcorcon and Majadahonda (Comunidad de Madrid, Spain)

The main contribution of this research paper is to display a range of figures and values which could help urban planners to quantify the urban phenomenon of sprawl. In this way, after a rigorous analysis and comparison between a scattered urban fabric (Majadahonda) and a compact urban fabric (Alcorcón), several possible indexes are established and characterized in order to verify the main hypothesis: in what extent land consumption and exploitation of energy resources are higher in a scattered urban fabric than in a compact one.

Offshore wind foundation design: some key issues

Despite the growth of the offshore wind industry, there are currently doubts relating to the design of wind facilities in the sea. This paper expounds current, already identified structural uncertainties: problems for soil characterization and transition piece (TP) design. This document also introduces new doubts or issues to be researched in the near future in this field (wave theory, scour process, wave load actions, scale difficulty, etc.), not as yet identified due to the scarce experience in the offshore wind industry. With this in mind, technical offshore wind standards related to foundation design have been reviewed.