863 resultados para Renewable Portfolio Standard


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Ethanol-gasoline fuel blends are increasingly being used in spark ignition (SI) engines due to continued growth in renewable fuels as part of a growing renewable portfolio standard (RPS). This leads to the need for a simple and accurate ethanol-gasoline blends combustion model that is applicable to one-dimensional engine simulation. A parametric combustion model has been developed, integrated into an engine simulation tool, and validated using SI engine experimental data. The parametric combustion model was built inside a user compound in GT-Power. In this model, selected burn durations were computed using correlations as functions of physically based non-dimensional groups that have been developed using the experimental engine database over a wide range of ethanol-gasoline blends, engine geometries, and operating conditions. A coefficient of variance (COV) of gross indicated mean effective pressure (IMEP) correlation was also added to the parametric combustion model. This correlation enables the cycle combustion variation modeling as a function of engine geometry and operating conditions. The computed burn durations were then used to fit single and double Wiebe functions. The single-Wiebe parametric combustion compound used the least squares method to compute the single-Wiebe parameters, while the double-Wiebe parametric combustion compound used an analytical solution to compute the double-Wiebe parameters. These compounds were then integrated into the engine model in GT-Power through the multi-Wiebe combustion template in which the values of Wiebe parameters (single-Wiebe or double-Wiebe) were sensed via RLT-dependence. The parametric combustion models were validated by overlaying the simulated pressure trace from GT-Power on to experimentally measured pressure traces. A thermodynamic engine model was also developed to study the effect of fuel blends, engine geometries and operating conditions on both the burn durations and COV of gross IMEP simulation results.

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Michigan depends heavily on fossil fuels to generate electricity. Compared with fossil fuels, electricity generation from renewable energy produces less pollutants emissions. A Renewable Portfolio Standard (RPS) is a mandate that requires electric utilities to generate a certain amount of electricity from renewable energy sources. This thesis applies the Cost-Benefits Analysis (CBA) method to investigate the impacts of implementing a 25% in Michigan by 2025. It is found that a 25% RPS will create about $20.12 billion in net benefits to the State. Moreover, if current tax credit policies will not change until 2025, its net present value will increase to about $26.59 billion. Based on the results of this CBA, a 25% RPS should be approved. The result of future studies on the same issue can be improved if more state specific data become available.

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Corn ethanol produced in the US and sugarcane ethanol produced in Brazil are the world`s leading sources of biofuel. Current US biofuel policies create both incentives and constraints for the import of ethanol from Brazil and together with the cost competitiveness and greenhouse gas intensity of sugarcane ethanol compared to corn ethanol will determine the extent of these imports. This study analyzes the supply-side determinants of cost competitiveness and compares the greenhouse gas intensity of corn ethanol and sugarcane ethanol delivered to US ports. We find that while the cost of sugarcane ethanol production in Brazil is lower than that of corn ethanol in the US, the inclusion of transportation costs for the former and co-product credits for the latter changes their relative competitiveness. We also find that the relative cost of ethanol in the US and Brazil is highly sensitive to the prevailing exchange rate and prices of feedstocks. At an exchange rate of US$1=R$2.15 the cost of corn ethanol is 15% lower than the delivered cost of sugarcane ethanol at a US port. Sugarcane ethanol has lower GHG emissions than corn ethanol but a price of over $113 per ton of CO(2) is needed to affect competitiveness. (C) 2010 Elsevier Ltd. All rights reserved.

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Dissertação para a obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia

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La búsqueda de los Estados por mitigar su dependencia energética de las fuentes fósiles, ha traído consigo la búsqueda de energías alternativas, desencadenando en el uso y producción de biocombustibles. A su vez, la producción de estos últimos a través de cultivos transgénicos ha ido cobrando importancia en el escenario internacional. Esta opción se ha considerado como una salida al dilema de utilización de tierras "Biocombustible vs. Alimentos". En este contexto, el caso de Argentina, como uno de los mayores productores de cultivos transgénicos del mundo, entre los cuales se destaca la soja, se analiza en esta investigación por ser importante para determinar cuál es el impacto de los biocombustibles producidos a través de cultivos transgénicos en la seguridad alimentaria de la población.

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A rápida expansão da cultura da cana-de-açúcar, essencialmente ocorrida a partir de 2004, tanto no Estado de São Paulo, um dos mais tradicionais e mais bem localizado do país, em termos de logística e proximidade de grandes centros consumidores, bem como em outros não tão privilegiados, levantou diversas discussões sobre a sustentabilidade do setor e eventual avanço em terras que, direta e indiretamente, prejudicariam a produção de alimentos no país. Esse evento desencadeou uma rápida reorganização do setor, através de sua principal entidade representativa, a UNICA, e, fundamentalmente, iniciou um processo irreversível de profissionalização e consolidação de grandes grupos com o intuito de crescimento e fortalecimento para fazer frente aos desafios da “comoditização” integral de seus produtos: o açúcar e o etanol. Nesse âmbito, após implementações de projetos como o “Protocolo Etanol Verde” e o “Zoneamento Agroambiental para o Setor Sucroalcooleiro do Estado de São Paulo”, e posteriormente o “Zoneamento Agro-Ecológico da Cana-de-Açúcar”, no Brasil, e divulgação da “RFS2 – Renewable Fuel Standard 2”, nos Estados Unidos, os quais podem ser considerados pontos fundamentais para a indicação de que o setor deveria evoluir, seja via sócio-ambiental, ou através da oportunidade de crescimento do mercado externo (EUA), sem esquecer a crescente frota de veículos flex-fuel no Brasil, e tenta evoluir a passos largos, evidentemente que com maior enfoque e investimento tecnológico nos Estados Unidos, no sentido de obter maior produtividade industrial, com a mesma quantidade de área de cana plantada, o que atenderia aos dois apelos: o de sustentabilidade e o de abertura de mercado. O etanol de segunda geração é o assunto central, e de maior expectativa atualmente, para a esperada evolução de um dos setores de maior crescimento e participação na economia brasileira. As pesquisas de laboratório demonstram viabilidade produtiva do etanol de segunda geração, através da hidrólise do material celulósico, mas os grandes problemas estão relacionados à ausência de plantas com escala de produção comercial, elevado tempo de processamento (hidrólise enzimática) e deterioração de equipamentos envolvidos no processo (hidrólise ácida), além da necessidade de melhores estudos, para entendimento da substituição do bagaço pela palha da cana-de-açúcar, no processo de geração de energia elétrica nas unidades industriais. Este trabalho demonstrou, considerando suas limitações e parâmetros, que a viabilidade econômica para o etanol de segunda geração está um pouco distante de ser atingida e depende do preço futuro do etanol. O rendimento adicional de 85% (oitenta e cinco por cento) de litros de etanol, por tonelada de cana processada, e o preço de R$ 800 (oitocentos reais) o metro cúbico, são dados de entrada em tese factíveis de serem obtidos para geração de lucro líquido, mas não para o VPL. As incógnitas são a velocidade do desenvolvimento da planta de grande escala de produção e comportamento de preços diante das perspectivas analisadas. Diante dos resultados obtidos e do exposto, há a clara possibilidade de autoafirmação do setor que, após décadas de insucessos, como o do Proálcool, e críticas às suas políticas de sustentabilidade (sócio-ambiental), vislumbra um cenário promissor para a perpetuação de sua hegemonia e vanguarda na produção de biocombustível (etanol), alimento (açúcar) e energia elétrica.

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O comércio de etanol entre Brasil e Estados Unidos é fortemente guiado por uma assimetria regulatória, que agrega valor ao etanol brasileiro ao gerar uma de-manda americana pelo produto derivado da cana de açúcar. A demanda advém dos mandatos de consumo de biocombustíveis estabelecidos no programa americano conhecido como Renewable Fuel Standard (RFS). A assimetria emerge pelo fato de RFS dar ao etanol brasileiro a classificação de Biocombustível Avançado, tornando-o para os Estados Unidos um produto mais nobre que o etanol derivado do amido de milho produzido domesticamente. Apesar dos processos produtivos tornarem os dois produtos diferenciados quanto ao teor de emissão de CO2 em seus ciclos de vida, o produto final é o mesmo: etanol anidro combustível. Portanto, quando a aquisição de etanol brasileiro pelos Estados Unidos é tal que torna o balanço do-méstico de oferta e demanda deficitário no Brasil, faz-se necessária a importação brasileira de etanol americano. Esse vai e vem do produto ocorre de forma simultâ-nea e, por isso, considera-se a existência de um fluxo redundante de etanol, geran-do custos logísticos, transacionais e emissões de CO2 que poderiam ser evitados. Dado que o objeto do interesse americano pelo produto brasileiro é o baixo índice de emissões de CO2 no ciclo de vida do etanol de cana de açúcar, o fluxo redun-dante de etanol pode ser substituído por transações de Créditos de Biocombustível Avançado, uma nova ideia que é desenvolvida ao longo deste trabalho. Para cada Crédito transacionado, os Estados Unidos contabilizarão em seu balanço a emissão de CO2 correspondente ao volume equivalente de etanol de cana de açúcar, trans-ferindo para o Brasil as emissões correspondentes ao mesmo volume de etanol de-rivado do amido de milho. A substituição do fluxo físico pela transação de contratos é a fonte de economia proposta no título deste trabalho.

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The U.S. Renewable Fuel Standard mandates that by 2022, 36 billion gallons of renewable fuels must be produced on a yearly basis. Ethanol production is capped at 15 billion gallons, meaning 21 billion gallons must come from different alternative fuel sources. A viable alternative to reach the remainder of this mandate is iso-butanol. Unlike ethanol, iso-butanol does not phase separate when mixed with water, meaning it can be transported using traditional pipeline methods. Iso-butanol also has a lower oxygen content by mass, meaning it can displace more petroleum while maintaining the same oxygen concentration in the fuel blend. This research focused on studying the effects of low level alcohol fuels on marine engine emissions to assess the possibility of using iso-butanol as a replacement for ethanol. Three marine engines were used in this study, representing a wide range of what is currently in service in the United States. Two four-stroke engine and one two-stroke engine powered boats were tested in the tributaries of the Chesapeake Bay, near Annapolis, Maryland over the course of two rounds of weeklong testing in May and September. The engines were tested using a standard test cycle and emissions were sampled using constant volume sampling techniques. Specific emissions for two-stroke and four-stroke engines were compared to the baseline indolene tests. Because of the nature of the field testing, limited engine parameters were recorded. Therefore, the engine parameters analyzed aside from emissions were the operating relative air-to-fuel ratio and engine speed. Emissions trends from the baseline test to each alcohol fuel for the four-stroke engines were consistent, when analyzing a single round of testing. The same trends were not consistent when comparing separate rounds because of uncontrolled weather conditions and because the four-stroke engines operate without fuel control feedback during full load conditions. Emissions trends from the baseline test to each alcohol fuel for the two-stroke engine were consistent for all rounds of testing. This is due to the fact the engine operates open-loop, and does not provide fueling compensation when fuel composition changes. Changes in emissions with respect to the baseline for iso-butanol were consistent with changes for ethanol. It was determined iso-butanol would make a viable replacement for ethanol.

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Biofuels are an increasingly important component of worldwide energy supply. This research aims to understand the pathways and impacts of biofuels production, and to improve these processes to make them more efficient. In Chapter 2, a life cycle assessment (LCA) is presented for cellulosic ethanol production from five potential feedstocks of regional importance to the upper Midwest - hybrid poplar, hybrid willow, switchgrass, diverse prairie grasses, and logging residues - according to the requirements of Renewable Fuel Standard (RFS). Direct land use change emissions are included for the conversion of abandoned agricultural land to feedstock production, and computer models of the conversion process are used in order to determine the effect of varying biomass composition on overall life cycle impacts. All scenarios analyzed here result in greater than 60% reduction in greenhouse gas emissions relative to petroleum gasoline. Land use change effects were found to contribute significantly to the overall emissions for the first 20 years after plantation establishment. Chapter 3 is an investigation of the effects of biomass mixtures on overall sugar recovery from the combined processes of dilute acid pretreatment and enzymatic hydrolysis. Biomass mixtures studied were aspen, a hardwood species well suited to biochemical processing; balsam, a high-lignin softwood species, and switchgrass, an herbaceous energy crop with high ash content. A matrix of three different dilute acid pretreatment severities and three different enzyme loading levels was used to characterize interactions between pretreatment and enzymatic hydrolysis. Maximum glucose yield for any species was 70% oftheoretical for switchgrass, and maximum xylose yield was 99.7% of theoretical for aspen. Supplemental β-glucosidase increased glucose yield from enzymatic hydrolysis by an average of 15%, and total sugar recoveries for mixtures could be predicted to within 4% by linear interpolation of the pure species results. Chapter 4 is an evaluation of the potential for producing Trichoderma reesei cellulose hydrolases in the Kluyveromyces lactis yeast expression system. The exoglucanases Cel6A and Cel7A, and the endoglucanase Cel7B were inserted separately into the K. lactis and the enzymes were analyzed for activity on various substrates. Recombinant Cel7B was found to be active on carboxymethyl cellulose and Avicel powdered cellulose substrates. Recombinant Cel6A was also found to be active on Avicel. Recombinant Cel7A was produced, but no enzymatic activity was detected on any substrate. Chapter 5 presents a new method for enzyme improvement studies using enzyme co-expression and yeast growth rate measurements as a potential high-throughput expression and screening system in K. lactis yeast. Two different K. lactis strains were evaluated for their usefulness in growth screening studies, one wild-type strain and one strain which has had the main galactose metabolic pathway disabled. Sequential transformation and co-expression of the exoglucanase Cel6A and endoglucanase Cel7B was performed, and improved hydrolysis rates on Avicel were detectable in the cell culture supernatant. Future work should focus on hydrolysis of natural substrates, developing the growth screening method, and utilizing the K. lactis expression system for directed evolution of enzymes.

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Frequent references are made to the use of portfolio spread rates in managing financial risks in banks, but indications as to the procedures for determining such rates are very scant.The purpose of this article is to present some initial ideas on the subject: a Standard Funding system indicates what each portfolio should have earned, while an Actual Funding system points out what each portfolio did, in fact, earn; additionally, by comparing the outcomes of the two funding systems for each portfolio, it is possible to determine what each portfolio earned (or lost) in the way of arbitrage.

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As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.

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The scope of this paper is to adapt the standard mean-variance model of Henry Markowitz theory, creating a simulation tool to find the optimal configuration of the portfolio aggregator, calculate its profitability and risk. Currently, there is a deep discussion going on among the power system society about the structure and architecture of the future electric system. In this environment, policy makers and electric utilities find new approaches to access the electricity market; this configures new challenging positions in order to find innovative strategies and methodologies. Decentralized power generation is gaining relevance in liberalized markets, and small and medium size electricity consumers are also become producers (“prosumers”). In this scenario an electric aggregator is an entity that joins a group of electric clients, customers, producers, “prosumers” together as a single purchasing unit to negotiate the purchase and sale of electricity. The aggregator conducts research on electricity prices, contract terms and conditions in order to promote better energy prices for their clients and allows small and medium customers to benefit improved market prices.

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As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.

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Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which performs realistic simulations of the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from each market context. However, it is still necessary to adequately optimize the players’ portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering different market opportunities (bilateral negotiation, market sessions, and operation in different markets) and the negotiation context such as the peak and off-peak periods of the day, the type of day (business day, weekend, holiday, etc.) and most important, the renewable based distributed generation forecast. The proposed approach is tested and validated using real electricity markets data from the Iberian operator – MIBEL.

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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