998 resultados para Solar Window


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This paper proposes a method for the detection and classification of multiple events in an electrical power system in real-time, namely; islanding, high frequency events (loss of load) and low frequency events (loss of generation). This method is based on principal component analysis of frequency measurements and employs a moving window approach to combat the time-varying nature of power systems, thereby increasing overall situational awareness of the power system. Numerical case studies using both real data, collected from the UK power system, and simulated case studies, constructed using DigSilent PowerFactory, for islanding events, as well as both loss of load and generation dip events, are used to demonstrate the reliability of the proposed method.

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Cryptographic algorithms have been designed to be computationally secure, however it has been shown that when they are implemented in hardware, that these devices leak side channel information that can be used to mount an attack that recovers the secret encryption key. In this paper an overlapping window power spectral density (PSD) side channel attack, targeting an FPGA device running the Advanced Encryption Standard is proposed. This improves upon previous research into PSD attacks by reducing the amount of pre-processing (effort) required. It is shown that the proposed overlapping window method requires less processing effort than that of using a sliding window approach, whilst overcoming the issues of sampling boundaries. The method is shown to be effective for both aligned and misaligned data sets and is therefore recommended as an improved approach in comparison with existing time domain based correlation attacks.

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Side channel attacks permit the recovery of the secret key held within a cryptographic device. This paper presents a new EM attack in the frequency domain, using a power spectral density analysis that permits the use of variable spectral window widths for each trace of the data set and demonstrates how this attack can therefore overcome both inter-and intra-round random insertion type countermeasures. We also propose a novel re-alignment method exploiting the minimal power markers exhibited by electromagnetic emanations. The technique can be used for the extraction and re-alignment of round data in the time domain.

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Thin film solar cells have in recent years gained market quota against traditional silicon photovoltaic panels. These developments were in a large part due to CdTe solar panels on whose development started earlier than their competitors. Panels based on Cu(In,Ga)Se2 (CIGS), despite being more efficient in a laboratory and industrial scale than the CdTe ones, still need a growth technology cheaper and easier to apply in industry. Although usually presented as a good candidate to make cheap panels, CIGS uses rare and expensive materials as In and Ga. The price evolution of these materials might jeopardize CIGS future. This thesis presents three different studies. The first is the study of different processes for the incorporation of Ga in a hybrid CIGS growth system. This system is based on sputtering and thermal evaporation. This technology is, in principle, easier to be applied in the industry and solar cells with efficiencies around to 7% were fully made in Aveiro. In the second part of this thesis, a new material to replace CIGS in thin film solar cells is studied. The growth conditions and fundamental properties of Cu2ZnSnSe4 (CZTSe) were studied in depth. Suitable conditions of temperature and pressure for the growth of this material are reported. Its band gap energy was estimated at 1.05 eV and the Raman scattering peaks were identified. Solar cells made with this material showed efficiencies lower than 0.1%. Finally, preliminary work regarding the incorporation of selenium in Cu2ZnSnS4 (CZTS) thin films was carried out. The structural and morphological properties of thin films of Cu2ZnSn(S,Se)4 have been studied and the results show that the incorporation of selenium is higher in films with precursors rather with already formed Cu2SnS3 or Cu2ZnSnS4 thin films. A solar cell with 0.9 % of efficiency was prepared.

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Thermochromic materials change optical properties, such as transmittance or reflectance, with a variation in temperature. An ideal intelligent (smart) material will allow solar radiation in through a window in cold conditions, but reflect that radiation in warmer conditions. The variation in the properties is often associated with a phase change, which takes place at a definite temperature, and is normally reversible. Such materials are usually applied to window glass as thin films. This thesis presents the work on the development of thermochromic vanadium (IV) oxide (VO2) thin films – both undoped and doped with tungsten, niobium and gold nanoparticles – which could be employed as solar control coatings. The films were deposited using Chemical Vapour Deposition (CVD), using improved Atmospheric Pressure (APCVD), novel Aerosol Assisted (AACVD) and novel hybrid AP/AACVD techniques. The effects of dopants on the metalto- semiconductor transition temperature and transmittance/reflectance characteristics were also investigated. This work significantly increased the understanding of the mechanisms behind thermochromic behaviour, and resulted in thermochromic materials based on VO2 with greatly improved properties.

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Photodegradation is considered to be one of the most important processes of elimination of pharmaceutical drugs from natural water matrices. The high consumption and discharge of these substances, in particular antidepressants, to the aquatic environment supports the need to study degradation processes. This dissertation aimed at studying the direct and indirect photodegradation of sertraline, an antidepressant known for its persistence in the environment, and the evaluation of the influence of environmentally relevant factors in its photodegradation. The photodegradation experiments were developed under simulated solar light and the irradiation times converted to summer sunny days (SSD), an equivalent time in natural environmental conditions. The direct photodegradation was evaluated in solutions of sertraline prepared in ultrapure water and the indirect photodegradation was studied through the addition of photosensitizers (humic substances, Fe(III), nitrates and oxygen). Further irradiation studies were perfomed in aqueous samples collected from two wastewater treatment plants, Vouga river and Ria de Aveiro. The samples were chemically characterized (dissolved organic carbon, nitrates and nitrites and iron determination and UV/Vis spectroscopy). The quantification of sertraline was done by HPLC-UV and photoproducts from direct photodegradation were identified by electrospray mass spectrometry. An observed direct photodegradation rate of sertraline of 0.0062 h-1 was determined, corresponding to a half-life time of 111 h (equivalent to 29 SSD). A significant influence of photosensitizers was observed, the best results being achieved in irradiations of sertraline with humic acids, obtaining a half-life time of 12 h. This was attributed to the hydrophobicity of this substance and higher absortivity in the UV/Vis wavelength, which promote processes of indirect photodegradation. The degradation of sertraline in natural samples was also enhanced comparatively to the direct photodegradation, achieving half-life times between 10 and 25h; the best results were achieved in samples from the primary treatment of a wastewater treatment plant and Ria de Aveiro, with half-life times of 10 and 16 h, respectively. A total of six photoproducts formed during the direct photodegradation of sertraline were identified, three of which were not yet identified in the literature. The main factors contributing to the degradation of sertraline were analysed but this was not fully accomplished, requiring further studies of the composition of the natural matrices and the combined influence of distinct photosensitizers during the irradiation. Nevertheless, it was concluded that the photodegradation of sertraline is greatly influenced by indirect photodegradation processes, promoted by the presence of photosensitizers.

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In this study, Artificial Neural Networks are applied to multistep long term solar radiation prediction. The networks are trained as one-step-ahead predictors and iterated over time to obtain multi-step longer term predictions. Auto-regressive and Auto-regressive with exogenous inputs solar radiationmodels are compared, considering cloudiness indices as inputs in the latter case. These indices are obtained through pixel classification of ground-to-sky images. The input-output structure of the neural network models is selected using evolutionary computation methods.

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Utilização da energia solar nas escolas e.b. 2/3 do Algarve.

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Tele-experimentação detécnicas de monitorização via Internet com aplicações em agricultura e energia solar.

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Dissertação de mest., Engenharia do Ambiente, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2012

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Dissertação de mest., Energias Renováveis e Gestão de Energia (Tecnológica), Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2012

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A dependência energética dos combustíveis fósseis é, reconhecidamente, uma das principiais inquietações das economias mundiais. Questões como a concentração de gases de efeito de estufa, poluição atmosférica e o facto de estes combustíveis serem esgotáveis estão cada vez mais no centro das atenções globais, ao que se associa um aumento significativo da população mundial e por conseguinte, dos consumos. Contudo, começa a ser notório um empenho na procura de soluções viáveis que possam contornar esta dependência, nomeadamente no desenvolvimento de tecnologia que permita o aproveitamento de fontes de energias renováveis. Neste sentido, Portugal encontra-se numa posição privilegiada sendo, dos países da europa, o que apresenta índices mais elevados de radiação solar por unidade de superfície, em média cerca de 1500kWh/m2/ano. O sucesso do aproveitamento de fontes de energia renováveis vai depender, em muito, da análise e compreensão do potencial determinado pelas realidades locais, pelos dados meteorológicos, pelas tecnologias existentes e por fatores económicos. (WITTMAN et al., 1997). O processo para estimativa o potencial não é simples e implica uma interação disciplinar; no entanto tendem a aparecer modelos que, a montante do processo, simplificam a análise espacial da energia solar. Neste campo, o contributo dos Sistemas de Informação Geográfica tem sido fundamental, oferecendo um conjunto de ferramentas de processamento de dados bastantes úteis para a modelação solar. A presente dissertação combina a utilização dos SIG com a análise do potencial solar, apresentando como objetivos principais: i) a estimativa do potencial solar no Município de Albufeira e ii) a criação de uma aplicação que disponibilize os resultados através da web, facilitando a consulta e análise espacial dos mesmos.

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Dissertação de mestrado, Energia e Climatização de Edifícios, Instituto Superior de Engenharia, Universidade do Algarve, 2015

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Dissertação de mestrado, Biologia Marinha, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

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Tese de doutoramento, Sistemas Sustentáveis de Energia, Universidade de Lisboa, Faculdade de Ciências, 2015