923 resultados para Renewable energy. Solar dryer. Forced convection. Licuri


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Carbon dioxide reforming of methane into syngas over Ni/gamma-Al2O3 catalysts was systematically studied. Effects of reaction parameters on catalytic activity and carbon deposition over Ni/gamma-Al2O3 catalysts were investigated. It is found that reduced NiA1204, metal nickel, and active species of carbon deposited were the active sites for this reaction. Carbon deposition on Ni/gamma Al2O3 varied depending on the nickel loading and reaction temperature and is the major cause of catalyst deactivation. Higher nickel loading produced more coke on the catalysts, resulting in rapid deactivation and plugging of the reactor. At 5 wt % Ni/gamma-Al2O3 catalyst exhibited high activity and much lesser magnitude of deactivation in 140 h. Characterization of carbon deposits on the catalyst surface revealed that there are two kinds of carbon species (oxidized and -C-C-) formed during the reaction and they showed different reactivities toward hydrogenation and oxidation. Kinetic studies showed that the activation energy for CO production in this reaction amounted to 80 kJ/mol and the rate of CO production could be described by a Langmuir-Hinshelwood model.

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U.S. Department of Energy (DOE), Office of Science[DE-FG02-94ER61937]

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This work reports on the effect of initial substrate concentration on COD consumption, pH, and H(2) production during cassava processing wastewater fermentation by Clostridium acetobutylicum ATCC 824. Five initial COD wastewater concentrations, namely 5.0, 7.5, 10.7, 15.0, and 30.0 g/L, were used. The results showed that higher substrate concentrations (30.0 and 15.0 COD/L) led to lower H(2) yield as well as less efficient substrate conversion into H(2). On the other hand, initial COD concentrations of 10.7, 7.5 and 5 g/L furnished 1.34, 1.2 and 2.41 mol H(2)/mol glucose, with efficiency of glucose conversion into H(2) of 34, 30, and 60% (mol/mol), respectively. These results demonstrate that cassava processing wastewater, a highly polluting effluent, can be successfully employed as substrate for H(2) production by C acetobutylicum at lower COD concentrations. (C) 2011 Elsevier Ltd. All rights reserved.

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Least-Cost Planning played a key role in the development of the energy efficiency and renewable energy industries in the USA, It has not been widely used elsewhere, largely due to differences in other nations' regulatory environments and the emergence of competitive markets as the dominant paradigm for electricity planning, Least-Cost Planning, however may over valuable insights for creating regulatory framework for competitive electricity markers. This paper examines some lessons which may be extracted from an analysis of the Least-Cost Planning experience in the USA and suggests how these lessons might prove beneficial in guiding Australia's electricity industry reform, This analysis demonstrates how market-based reforms may be flawed if they ignore the history of previous reform processes.

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Crambe (Crambe abyssinica) pertence à família Brassicaceae, originário da Etiópia e principalmente destinado à produção de forragem (30 a 32% de proteína bruta). Atualmente, tem sido bastante cultivado visando à extração de óleo vegetal. Com os atuais incentivos à busca de fontes de energias renováveis, o cultivo de crambe vem ganhando papel de destaque na produção de biodiesel por suas diversas vantagens, como: (a) rápido ciclo de vida (colhida em torno de 90 dias); (b) alta produção de biomassa; (c) alta produtividade de sementes (1000 e 1500 kg ha-1); (d) menor custo de produção em relação a outras fontes oleaginosas, como, canola, girassol e soja; (e) um percentual de óleo total na semente entre 32 e 38%, superando, por exemplo, a soja; (f) potencial de fitorremediação, eficiente na descontaminação de arsênio, cromo e outros metais pesados; e (g) elevado percentual de ácido erúcico (50 a 60%) sendo útil na indústria de plástico e lubrificante. Devido aos poucos trabalhos realizados com crambe, abre-se um vasto campo de investigações científicas que tenham como objetivo desenvolver as potencialidades dessa cultura e, consequentemente, melhorar os aspectos agronômicos e tecnológicos para seu emprego na indústria de biodiesel. Nesse contexto, as técnicas de cultivo in vitro foram importantes tanto para a propagação massal, quanto como ferramenta para uma possível aplicação de outras técnicas biotecnológicas, contribuindo para uma produção homogênea, fiel e em larga escala. Portanto, este trabalho teve como objetivo geral avaliar as condições mais favoráveis à germinação, estabelecimento in vitro e micropropagação de Crambe abyssinica Hochst., além de verificar possíveis alterações genéticas e anatômicas, possibilitando a regeneração e produção de plântulas viáveis. Para a germinação e estabecimento in vitro de crambe, as condições mais favoráveis foram em meio B5 ou WPM, na presença ou ausência de pericarpo e na presença de luz. Na micropropagação dessa espécie, uma frequência satisfatória de regeneração de brotos foi obtida a partir de segmentos apicais utilizados como explante em meio contendo 5 μM de BAP (6- benzilaminopurina), e o alongamento foi satisfatório com 1 μM de GA3 (ácido giberélico). Os marcadores moleculares ISSR (Inter-Simples Sequence Repeats) utilizados para a análise da estabilidade genética indicaram que o segmento apical de crambe é um explante confiável para a micropropagação de plantas geneticamente verdadeiras (true-to-tipe), ou seja, mantém a estabilidade genética. As diversas fontes de citocininas e concentrações utilizadas neste trabalho não promoveram mudanças, no sentido de alterar a organização e/ou a espessura em relação ao controle, e as alterações observadas na estrutura e espessura das folhas dos tratamentos de aclimatização prejudicaram o processo de estabelecimento da plântula ex vitro. Contudo, existe a necessidade de um enraizamento e aclimatização eficiente para completa propagação in vitro de crambe. Portanto, este protocolo de regeneração de plantas in vitro de crambe pode ser útil no processo de criação e desenvolvimento de novas cultivares em um tempo mais curto e no melhoramento genético usando explantes apicais.

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A actual dependência mundial dos combustíveis fósseis e a crescente necessidade de redução do seu consumo têm culminado em novas directrizes de gestão de recursos de energia. A utilização de recursos energéticos renováveis apresenta-se como um caminho vital para o desenvolvimento sustentável da nossa sociedade. Assim sendo, a energia das ondas surge como potencial fonte de energia que muitos autores afirmam como sendo um dos sectores com maior potencial energético por metro quadrado de área. Contudo, esta ainda é uma tecnologia muito recente, que ainda evidencia uma grande diversidade de conceitos e que ainda se encontra numa fase inicial de demonstração. É neste contexto que foi criado o projecto CORES que visa desenvolver uma turbina de impulso com pás guia de posição variável, no âmbito do desenvolvimento de novos dispositivos e componentes para produção de energia através das ondas do mar. Neste trabalho será desenvolvido um sistema de accionamento de pás móveis para a turbina de impulso, tendo como principal objectivo o fabrico de um protótipo. Assim sendo, será realizado o desenvolvimento, dimensionamento e análise dos seus elementos móveis, bem como do sistema de actuação que melhor se adeqúe e permita um correcto funcionamento do conjunto.

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Power converters play a vital role in the integration of wind power into the electrical grid. Variable-speed wind turbine generator systems have a considerable interest of application for grid connection at constant frequency. In this paper, comprehensive simulation studies are carried out with three power converter topologies: matrix, two-level and multilevel. A fractional-order control strategy is studied for the variable-speed operation of wind turbine generator systems. The studies are in order to compare power converter topologies and control strategies. The studies reveal that the multilevel converter and the proposed fractional-order control strategy enable an improvement in the power quality, in comparison with the other power converters using a classical integer-order control strategy. (C) 2010 Elsevier Ltd. All rights reserved.

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The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs may turn electricity generation by renewable sources valuable in electricity markets. Information availability and adequate decision-support tools are crucial for achieving VPPs’ goals. This involves information concerning associated producers and market operation. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, focusing mainly in the information requirements for adequate decision making.

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The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets. One of the most important tasks of a VPP is the conjugation of technologies to obtain a consistent set of associated producers and allow them to operate in the electric market. This paper presents some characteristics regarding already existent technologies and relevant aspects for producers and for VPP.

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Power systems have been through deep changes in recent years, namely with the operation of competitive electricity markets in the scope and the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new player type which allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles, (V2G) and consumers), to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players` benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.

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Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

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This paper proposes artificial neural networks in combination with wavelet transform for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. Results from a real-world case study are presented. A comparison is carried out, taking into account the results obtained with other approaches. Finally, conclusions are duly drawn. (C) 2010 Elsevier Ltd. All rights reserved.

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In this work is proposed the design of a system to create and handle Electric Vehicles (EV) charging procedures, based on intelligent process. Due to the electrical power distribution network limitation and absence of smart meter devices, Electric Vehicles charging should be performed in a balanced way, taking into account past experience, weather information based on data mining, and simulation approaches. In order to allow information exchange and to help user mobility, it was also created a mobile application to assist the EV driver on these processes. This proposed Smart ElectricVehicle Charging System uses Vehicle-to-Grid (V2G) technology, in order to connect Electric Vehicles and also renewable energy sources to Smart Grids (SG). This system also explores the new paradigm of Electrical Markets (EM), with deregulation of electricity production and use, in order to obtain the best conditions for commercializing electrical energy.

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The organotin(IV) compounds [Me2Sn(L)(2)] (1), [Et(2)sn(L)(2)] (2), [(Bu2Sn)-Bu-n(L)(2)] (3), [(n)Oct(2)Sn(L)(2)] (4), [Ph2Sn(L)(2)] (5), and [PhOSnL](6) (6) have been synthesized from the reactions of 1-(4-chlorophenyl)-1-cyclopentanecarboxylic acid (HL) with the corresponding diorganotin(IV) oxide or dichloride. They were characterized by IR and multinuclear NMR spectroscopies, elemental analysis, cyclic voltammetry, and, for 2, 3, 4 and 6, single crystal X-ray diffraction analysis. While 1-5 are mononuclear diorganotin (IV) compounds, the X-ray diffraction of 6 discloses a hexameric drumlike structure with a prismatic Sn6O6 core. All these complexes undergo irreversible reductions and were screened for their in vitro antitumor activities toward HL-60, BGC-823, Bel-7402, and KB human cancer cell lines. Within the mononuclear compounds, the most active ones (3, 5) are easiest to reduce (least cathodic reduction potentials), while the least active ones (1, 4) are the most difficult to reduce. Structural rearrangements (i.e., Sn-O bond cleavages and trans-to-cis isomerization) induced by reduction, which eventually can favor the bioactivity, are disclosed by theoretical/electrochemical studies.

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This paper addresses the problem of energy resource scheduling. An aggregator will manage all distributed resources connected to its distribution network, including distributed generation based on renewable energy resources, demand response, storage systems, and electrical gridable vehicles. The use of gridable vehicles will have a significant impact on power systems management, especially in distribution networks. Therefore, the inclusion of vehicles in the optimal scheduling problem will be very important in future network management. The proposed particle swarm optimization approach is compared with a reference methodology based on mixed integer non-linear programming, implemented in GAMS, to evaluate the effectiveness of the proposed methodology. The paper includes a case study that consider a 32 bus distribution network with 66 distributed generators, 32 loads and 50 electric vehicles.