Direction, legitimacy and structuration in technological innovation systems upscaling-insights from roadmaps for deepwater offshore wind energy

This research investigates strategies aiming to accelerate the up-scaling of low- carbon innovations. We adopt the technological innovation systems (TIS) perspective to focus on structuration or system building processes, including key innovative activities. We analyze national roadmaps that have been developed for offshore wind energy in deep waters - more than 50 meters deep where most of the potential is expected but whose technologyis more immature . in Europe. The roadmaps analysis not only reveals how actors expect the TIS grow but also enables the understanding about the critical functions at this stage, such as direction of search and legitimacy.

Hypothalamic Inflammation And The Central Nervous System Control Of Energy Homeostasis.

The control of energy homeostasis relies on robust neuronal circuits that regulate food intake and energy expenditure. Although the physiology of these circuits is well understood, the molecular and cellular response of this program to chronic diseases is still largely unclear. Hypothalamic inflammation has emerged as a major driver of energy homeostasis dysfunction in both obesity and anorexia. Importantly, this inflammation disrupts the action of metabolic signals promoting anabolism or supporting catabolism. In this review, we address the evidence that favors hypothalamic inflammation as a factor that resets energy homeostasis in pathological states.

Protection of wind energy systems against the indirect effects of lightning

This paper is concerned with the protection of wind energy systems against the indirect effects of lightning. As wind energy is gaining increasing importance throughout the world, lightning damages involving wind energy systems have come to be regarded with more attention. Nevertheless, there are still very few studies in Portugal regarding lightning protection of wind energy systems using models of the Electro-Magnetic Transients Program (EMTP). Hence, a new case study is presented in this paper, based on a wind turbine with an interconnecting transformer, considering that lightning strikes the soil near the tower at a distance such that galvanic coupling occurs through the grounding electrode. Computer simulations obtained by using EMTP-RV are presented and conclusions are duly drawn. (C) 2011 Elsevier Ltd. All rights reserved.

Acquisition of Horizon Wind Energy by EdP

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Energía Eólica en Argentina: una cuestión estratégica hacia la Economía del Hidrógeno. Wind Energy in Argentina: a strategic subject towards the Hydrogen Economy.

Identificación/caracterización del problema: El abastecimiento energético en base a fuentes no tradicionales o recursos no renovables es un tema altamente estratégico en las agendas de los Estados. El petróleo se está agotando y las existencias no alcanzarán para abastecer el consumo mundial.Esto ha llevado a Gobiernos a implementar alternativas de producción energética basadas en fuentes no tradicionales, tales como el Hidrógeno (H2), lo cual creará una Economía basada en el Hidrógeno.Argentina cuenta con una matriz energética dependiente en un 90 por ciento del petróleo y con reservas certificadas de petróleo y gas natural para 8,6 y 9,4 años respectivamente. Sin duda, los desafíos próximos serán: a) crear las herramientas necesarias para minimizar una potencial crisis energética en el corto plazo, y b) desarrollar políticas energéticas que articulen su autoabastecimiento e inserción en la Economía del Hidrógeno. Dado que Argentina cuenta con uno de los recursos renovables más importantes del mundo, "el viento", tiene condiciones inmejorables para obtener Hidrógeno (H2) por electrólisis del agua, utilizando energía eléctrica proveniente de fuentes renovables como la eólica (EE). Es por ello que apostar al desarrollo local del H2 basado en la EE nos ofrecerá como país, un rol estratégico en la futura Economía del Hidrógeno.Objetivo General: Identificar la actual Matriz Energética Argentina y reconocer los factores limitantes y oportunidades para la diversificación de la misma, utilizando la Energía Eólica (EE) como pilar hacia la Economía del Hidrógeno (Econo-H2). El fin último será esbozar herramientas de política energética e instrumentos regulatorios pertinentes, que sirvan de base para la formulación de una macro política energética.Metodología de Investigación: Se utilizarán técnicas de análisis de la siguiente información:a) Documental (textos, artículos, información periodística)b) Técnica, Legal y administrativa) Oral (Declaraciones oficiales-privadas y entrevistas)d) Visual (imágenes, gráficos y mapas)e) Datos (cronológicos, estadísticos y geográficos)Resultados esperados: La formulación de herramientas de política energética y de instrumentos regulatorios pertinentes, que sirvan de base para la formulación de una macro política energética que considere la Energía Eólica (EE) como un pilar fundamental para la diversificación de la matriz energética actual. Asimismo se reflexionará sobre la importancia de asociar la EE a la producción masiva del hidrógeno (H2) para la inserción y proyección futura de la Argentina hacia la Economía del Hidrógeno.Importancia del Proyecto: Argentina ha ratificado el protocolo de Kioto y forma parte de la Johannesburg Renewable Energy Coalition (JREC), por la cual ha asumido compromisos para fijar políticas nacionales de incentivo para el desarrollo de uso de energías renovables.Sin embargo, y a pesar de una serie de iniciativas y leyes promulgadas relacionadas a uso de energías renovables, hasta la fecha, no se ha logrado cumplir con metas concretas.Consideramos que uno de los factores fundamentales que ha dificultado esto, se basa en la ausencia de una política de Estado de mediano y largo plazo que incluya a las energías renovables como un objetivo concreto y un sistema de instrumentos y planes complementarios que acompañen dicha política.

Wind Energy Where Wind and Innovation Work, 2010

Centrally located in America’s upper Midwest, Iowa lies in the heart of a 12-state region that will have installed an average of 2,701 mfi per year through 2014. In 2009 alone, this region, which is within one day delivery from Iowa, installed turbines valued at $7.8 billion! Once you understand how this exploding growth in the market intersects with the supply chain established by over 250 Iowa companies that are already providing components and services to wind energy manufacturers, you have an outstanding picture of exactly why all major wind manufacturing components are made in Iowa.

Strategic groups and performance: an empirical analysis of strategic groups in the wind energy industry in Europe

The strategic group theory provides an intermediate level of analysis between a single company and the whole industry for identifying issues about the company's competitive position and strategic choices. Strategic groups are companies within an industry with similar strategic characteristics or competing on similar bases. Strategic choices are aligned with the firms’ resources. The purpose of this study was to identify the strategic groups in the wind energy industry in Europe, and study, whether a certain group membership results in financial performance differences. Altogether 80 European wind energy companies were included in the study, which were clustered into four strategic groups according to their age and growth rate. Each group corresponds to a different strategy. The results show that the wind energy companies can be clustered according to the chosen strategic characteristics. Strategic decisions were investigated with characteristic variables. Performance variables were used in the analysis measuring profitability, liquidity and solvency of the groups. These strategic choices of the companies did not have a significant influence on the firms’ performance. The more mature and slower growing group proved to be the most successful. However, the differences between groups were generally not statistically significant. The only statistically significant difference found was in the solvency ratio between Mature Slow and Young Rapid groups. Measured with these variables, more mature and slower growing companies performed better. Therefore, a certain strategic group membership results in performance differences.

Small wind energy

Master thesis represents the literature overview of small wind energy. I have given the description of principles of work wind turbines, the description of the types of wind turbines, their advantages and disadvantages, the characteristics of small wind turbines, have shown how to count the payback period, have given an overview of currently market wind turbines and the future forecast.

An Economic Analysis of Wind Energy Production in the Remote Areas of Quebec.

Rapport de recherche

Improved Biometric Authentication System Using Multimodal Cue Integration

Biometrics is an efficient technology with great possibilities in the area of security system development for official and commercial applications. The biometrics has recently become a significant part of any efficient person authentication solution. The advantage of using biometric traits is that they cannot be stolen, shared or even forgotten. The thesis addresses one of the emerging topics in Authentication System, viz., the implementation of Improved Biometric Authentication System using Multimodal Cue Integration, as the operator assisted identification turns out to be tedious, laborious and time consuming. In order to derive the best performance for the authentication system, an appropriate feature selection criteria has been evolved. It has been seen that the selection of too many features lead to the deterioration in the authentication performance and efficiency. In the work reported in this thesis, various judiciously chosen components of the biometric traits and their feature vectors are used for realizing the newly proposed Biometric Authentication System using Multimodal Cue Integration. The feature vectors so generated from the noisy biometric traits is compared with the feature vectors available in the knowledge base and the most matching pattern is identified for the purpose of user authentication. In an attempt to improve the success rate of the Feature Vector based authentication system, the proposed system has been augmented with the user dependent weighted fusion technique.

Flight Paths of Migrating Golden Eagles and the Risk Associated with Wind Energy Development in the Rocky Mountains

In recent years, the eastern foothills of the Rocky Mountains in northeastern British Columbia have received interest as a site of industrial wind energy development but, simultaneously, have been the subject of concern about wind development coinciding with a known migratory corridor of Golden Eagles (Aquila chrysaetos). We tracked and quantified eagle flights that crossed or followed ridgelines slated for one such wind development. We found that hourly passage rates during fall migration peaked at midday and increased by 17% with each 1 km/h increase in wind speed and by 11% with each 1°C increase in temperature. The propensity to cross the ridge tops where turbines would be situated differed between age classes, with juvenile eagles almost twice as likely to traverse the ridge-top area as adults or subadults. During fall migration, Golden Eagles were more likely to cross ridges at turbine heights (risk zone, < 150 m above ground) under headwinds or tailwinds, but this likelihood decreased with increasing temperature. Conversely, during spring migration, eagles were more likely to move within the ridge-top area under eastern crosswinds. Identifying Golden Eagle flight routes and altitudes with respect to major weather systems and local topography in the Rockies may help identify scenarios in which the potential for collisions is greatest at this and other installations.

A conceptual design of a wireless sensor actuator system for optimising energy and well-being in a building

This article presents a prototype model based on a wireless sensor actuator network (WSAN) aimed at optimizing both energy consumption of environmental systems and well-being of occupants in buildings. The model is a system consisting of the following components: a wireless sensor network, `sense diaries', environmental systems such as heating, ventilation and air-conditioning systems, and a central computer. A multi-agent system (MAS) is used to derive and act on the preferences of the occupants. Each occupant is represented by a personal agent in the MAS. The sense diary is a new device designed to elicit feedback from occupants about their satisfaction with the environment. The roles of the components are: the WSAN collects data about physical parameters such as temperature and humidity from an indoor environment; the central computer processes the collected data; the sense diaries leverage trade-offs between energy consumption and well-being, in conjunction with the agent system; and the environmental systems control the indoor environment.

Future changes of wind energy potentials over Europe in a large CMIP5 multi-model ensemble

A statistical-dynamical downscaling method is used to estimate future changes of wind energy output (Eout) of a benchmark wind turbine across Europe at the regional scale. With this aim, 22 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble are considered. The downscaling method uses circulation weather types and regional climate modelling with the COSMO-CLM model. Future projections are computed for two time periods (2021–2060 and 2061–2100) following two scenarios (RCP4.5 and RCP8.5). The CMIP5 ensemble mean response reveals a more likely than not increase of mean annual Eout over Northern and Central Europe and a likely decrease over Southern Europe. There is some uncertainty with respect to the magnitude and the sign of the changes. Higher robustness in future changes is observed for specific seasons. Except from the Mediterranean area, an ensemble mean increase of Eout is simulated for winter and a decreasing for the summer season, resulting in a strong increase of the intra-annual variability for most of Europe. The latter is, in particular, probable during the second half of the 21st century under the RCP8.5 scenario. In general, signals are stronger for 2061–2100 compared to 2021–2060 and for RCP8.5 compared to RCP4.5. Regarding changes of the inter-annual variability of Eout for Central Europe, the future projections strongly vary between individual models and also between future periods and scenarios within single models. This study showed for an ensemble of 22 CMIP5 models that changes in the wind energy potentials over Europe may take place in future decades. However, due to the uncertainties detected in this research, further investigations with multi-model ensembles are needed to provide a better quantification and understanding of the future changes.