185 resultados para hydropower


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The regional population of the Grey-headed Fish-Eagle (Ichthyophaga ichthyaetus) in Southeast Asia is thought to be in recent decline and its conservation status Linder threat. We undertook a systematic survey in a flooded swamp forest at the Tonle Sap Lake in Cambodia and recorded 32 pairs of eagles in an area of approximately 80 km(2). Three species of water snakes were identified as eagle prey items, previously unrecorded for this species. We suggest that this eagle population has significant regional importance and discuss potential anthropogenic threats to population stability, such as water snake harvesting and construction Of upstream hydropower dams.

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Remote sensing data and digital elevation models were utilized to extract the catchment hydrological parameters and to delineate storage areas for the Ugandan Equatorial Lakes region. Available rainfall/discharge data are integrated with these morphometric data to construct a hydrological model that simulates the water balance of the different interconnected basins and enables the impact of potential management options to be examined. The total annual discharges of the basins are generally very low (less than 7% of the total annual rainfall). The basin of the shallow (5 m deep) Lake Kioga makes only a minor hydrological contribution compared with other Equatorial Lakes, because most of the overflow from Lake Victoria basin into Lake Kioga is lost by evaporation and evapotranspiration. The discharge from Lake Kioga could be significantly increased by draining the swamps through dredging and deepening certain channel reaches. Development of hydropower dams on the Equatorial Lakes will have an adverse impact on the annual water discharge downstream, including the occasional reduction of flow required for filling up to designed storage capacities and permanently increasing the surface areas of water that is exposed to evaporation. On the basis of modelling studies, alternative sites are proposed for hydropower development and water storage schemes

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UK wind-power capacity is increasing and new transmission links are proposed with Norway, where hydropower dominates the electricity mix. Weather affects both these renewable resources and the demand for electricity. The dominant large-scale pattern of Euro-Atlantic atmospheric variability is the North Atlantic Oscillation (NAO), associated with positive correlations in wind, temperature and precipitation over northern Europe. The NAO's effect on wind-power and demand in the UK and Norway is examined, focussing on March when Norwegian hydropower reserves are low and the combined power system might be most susceptible to atmospheric variations. The NCEP/NCAR meteorological reanalysis dataset (1948–2010) is used to drive simple models for demand and wind-power, and ‘demand-net-wind’ (DNW) is estimated for positive, neutral and negative NAO states. Cold, calm conditions in NAO− cause increased demand and decreased wind-power compared to other NAO states. Under a 2020 wind-power capacity scenario, the increase in DNW in NAO− relative to NAO neutral is equivalent to nearly 25% of the present-day average rate of March Norwegian hydropower usage. As the NAO varies on long timescales (months to decades), and there is potentially some skill in monthly predictions, we argue that it is important to understand its impact on European power systems.

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India is increasingly investing in renewable technology to meet rising energy demands, with hydropower and other renewables comprising one-third of current installed capacity. Installed wind-power is projected to increase 5-fold by 2035 (to nearly 100GW) under the International Energy Agency’s New Policies scenario. However, renewable electricity generation is dependent upon the prevailing meteorology, which is strongly influenced by monsoon variability. Prosperity and widespread electrification are increasing the demand for air conditioning, especially during the warm summer. This study uses multi-decadal observations and meteorological reanalysis data to assess the impact of intraseasonal monsoon variability on the balance of electricity supply from wind-power and temperature-related demand in India. Active monsoon phases are characterised by vigorous convection and heavy rainfall over central India. This results in lower temperatures giving lower cooling energy demand, while strong westerly winds yield high wind-power output. In contrast, monsoon breaks are characterised by suppressed precipitation, with higher temperatures and hence greater demand for cooling, and lower wind-power output across much of India. The opposing relationship between wind-power supply and cooling demand during active phases (low demand, high supply) and breaks (high demand, low supply) suggests that monsoon variability will tend to exacerbate fluctuations in the so-called demand-net-wind (i.e., electrical demand that must be supplied from non-wind sources). This study may have important implications for the design of power systems and for investment decisions in conventional schedulable generation facilities (such as coal and gas) that are used to maintain the supply/demand balance. In particular, if it is assumed (as is common) that the generated wind-power operates as a price-taker (i.e., wind farm operators always wish to sell their power, irrespective of price) then investors in conventional facilities will face additional weather-volatility through the monsoonal impact on the length and frequency of production periods (i.e. their load-duration curves).

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This work analyzes high-resolution precipitation data from satellite-derived rainfall estimates over South America, especially over the Amazon Basin. The goal is to examine whether satellite-derived precipitation estimates can be used in hydrology and in the management of larger watersheds of South America. High spatial-temporal resolution precipitation estimates obtained with the CMORPH method serve this purpose while providing an additional hydrometeorological perspective on the convective regime over South America and its predictability. CMORPH rainfall estimates at 8-km spatial resolution for 2003 and 2004 were compared with available rain gauge measurements at daily, monthly, and yearly accumulation time scales. The results show the correlation between satellite-derived and gauge-measured precipitation increases with accumulation period from daily to monthly, especially during the rainy season. Time-longitude diagrams of CMORPH hourly rainfall show the genesis, strength, longevity, and phase speed of convective systems. Hourly rainfall analyses indicate that convection over the Amazon region is often more organized than previously thought, thus inferring that basin scale predictions of rainfall for hydrological and water management purposes have the potential to become more skillful. Flow estimates based on CMORPH and the rain gauge network are compared to long-term observed average flow. The results suggest this satellite-based rainfall estimation technique has considerable utility. Other statistics for monthly accumulations also suggest CMORPH can be an important source of rainfall information at smaller spatial scales where in situ observations are lacking.

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Due to the increase in water demand and hydropower energy, it is getting more important to operate hydraulic structures in an efficient manner while sustaining multiple demands. Especially, companies, governmental agencies, consultant offices require effective, practical integrated tools and decision support frameworks to operate reservoirs, cascades of run-of-river plants and related elements such as canals by merging hydrological and reservoir simulation/optimization models with various numerical weather predictions, radar and satellite data. The model performance is highly related with the streamflow forecast, related uncertainty and its consideration in the decision making. While deterministic weather predictions and its corresponding streamflow forecasts directly restrict the manager to single deterministic trajectories, probabilistic forecasts can be a key solution by including uncertainty in flow forecast scenarios for dam operation. The objective of this study is to compare deterministic and probabilistic streamflow forecasts on an earlier developed basin/reservoir model for short term reservoir management. The study is applied to the Yuvacık Reservoir and its upstream basin which is the main water supply of Kocaeli City located in the northwestern part of Turkey. The reservoir represents a typical example by its limited capacity, downstream channel restrictions and high snowmelt potential. Mesoscale Model 5 and Ensemble Prediction System data are used as a main input and the flow forecasts are done for 2012 year using HEC-HMS. Hydrometeorological rule-based reservoir simulation model is accomplished with HEC-ResSim and integrated with forecasts. Since EPS based hydrological model produce a large number of equal probable scenarios, it will indicate how uncertainty spreads in the future. Thus, it will provide risk ranges in terms of spillway discharges and reservoir level for operator when it is compared with deterministic approach. The framework is fully data driven, applicable, useful to the profession and the knowledge can be transferred to other similar reservoir systems.

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No Brasil, água e energia têm uma forte e histórica nterdependência, de forma que a contribuição da energia hidráulica ao desenvolvimento econômico do País tem sido expressiva, seja no atendimento às diversas demandas da economia, ou da própria sociedade, melhorando o conforto das habitações e a qualidade de vida das pessoas. Também desempenha papel importante na integração e desenvolvimento de regiões distantes dos grandes centros urbanos e industriais. A década de 70 registrou um crescimento elevado da demanda por energia elétrica no Brasil; reflexo de políticas desenvolvimentistas de governos anteriores que promoveram o crescimento industrial do País atraindo e criando indústrias de uso alto intensivo da letricidade. No caso da região Nordeste, o crescimento econômico trouxe consigo o risco de um grave racionamento de energia. Para eliminar tal risco, o Estado por intermédio do Sistema Eletrobras realizou a construção de grandes usinas hidrelétricas interligando-as ao sistema nacional. Não há como negar que esta solução provocou um grande benefício para grande parte da população brasileira, mas trouxe, para uma parcela do povo brasileiro, um custo social bastante elevado. Essas pessoas ficaram então conhecidas como os “atingidos por barragens”. Para eles, a construção das barragens de usinas como Itaipu, Tucuruí, Sobradinho e Itaparica significou o deslocamento compulsório dos locais aonde viviam e tinham suas tradições e referência culturais e afetivas. Esta pesquisa objetiva resgatar a memória deste período de grandes obras, promessas de desenvolvimento e marcas deixadas em milhares de famílias brasileiras. O estudo em questão é também uma tentativa de mostrar como o Programa de Reassentamento de Itaparica, projeto conduzido pela Companhia Hidro Elétrica do São Francisco – CHESF foi o marco de uma nova dinâmica para tratamento das questões sociais envolvendo a reparação de danos causados aos atingidos por barragens e se constitui talvez, no primeiro caso de Responsabilidade Social Corporativa do setor elétrico brasileiro.

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Em um mundo onde a questão da necessidade de se preservar o meio ambiente e de movimentos socialmente responsáveis em alta, este trabalho surgiu da curiosidade de se buscar entender o binômio do desenvolvimento econômico versus o desenvolvimento sustentável, visando compreender como se deu a evolução desta relação em grandes projetos hidrelétricos brasileiros. Neste contexto, os levantamentos de acontecimentos à época da construção de Itaipu serviram de base comparativa para o que hoje está sendo vivenciado pela hidrelétrica de Santo Antônio. É fato que projetos desse porte vão causar impactos e externalidades, porém como, hoje estão sendo tratadas, é algo que pode nortear o andamento futuro de sua gestão. Por isso, questões como a preservação da fauna e flora, reassentamento e desenvolvimento local, foram colocadas na pauta para verificação de como, ainda hoje, mesmo com o avanço da tecnologia e com pressões externas a respeito da questão sustentável, as externalidades desses projetos são as mesmas. As luzes das teorias apresentadas de Responsabilidade Social Corporativa, desenvolvimento sustentável e econômico, além da estruturação dos movimentos sociais, servirão de base para entender as questões apresentadas. Identificou-se que o sacrifício de poucos para usufruto de muitos continua a ser uma das principais questões a ser resolvida, e neste, inclui-se a questão da terra, assim como a não integração entre stakeholders e shareholders para se conseguir em alinhamento a melhor forma de se aproveitar e interagir com o meio em que será inserido o empreendimento, a exclusão política dos stakeholders do processo decisório sobre os projetos hidrelétricos a serem implementados.

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This paper presents an interior point method for the long-term generation scheduling of large-scale hydrothermal systems. The problem is formulated as a nonlinear programming one due to the nonlinear representation of hydropower production and thermal fuel cost functions. Sparsity exploitation techniques and an heuristic procedure for computing the interior point method search directions have been developed. Numerical tests in case studies with systems of different dimensions and inflow scenarios have been carried out in order to evaluate the proposed method. Three systems were tested, with the largest being the Brazilian hydropower system with 74 hydro plants distributed in several cascades. Results show that the proposed method is an efficient and robust tool for solving the long-term generation scheduling problem.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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O ensaio tem a intenção de discutir, apresentando como pano de fundo os recentes projetos hidrelétricos propostos e em andamento na Amazônia brasileira, aspectos referentes aos processos de licenciamento ambiental, problemas conceituais que dizem respeito à caracterização da conversão hidrelétrica como energia limpa e renovável. Este trabalho parte da análise de planos governamentais e das discussões sobre projetos hidrelétricos, identificando a necessidade de implementar mudanças institucionais e de fortalecer as leis ambientais e de proteção dos direitos de populações tradicionais e indígenas. Propõe-se uma nova maneira de formular problemas energéticos e de planejar a oferta de energia, que leva em consideração aspectos sustentáveis e patrocinadores da discussão pública, além do entendimento e da incorporação das consequências sobre os grandes ciclos biogeoquímicos que dão suporte às conversões de energia.

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Representative Life-Cycle Inventories (LCIs) are essential for Life-Cycle Assessments (LCAs) quality and readiness. Because energy is such an important element of LCAs, appropriate LCIs on energy are crucial, and due to the prevalence of hydropower on Brazilian electricity mix, the frequently used LCIs are not representative of the Brazilian conditions. The present study developed a LCI of the Itaipu Hydropower Plant, the major hydropower plant in the world, responsible for producing 23.8% of Brazil's electricity consumption. Focused on the capital investments to construct and operate the dam, the LCI was designed to serve as a database for the LCAs of Brazilian hydroelectricity production. The life-cycle boundaries encompass the construction and operation of the dam, as well as the life-cycles of the most important material and energy consumptions (cement, steel, copper, diesel oil, lubricant oil), as well as construction site operation, emissions from reservoir flooding, material and workers transportation, and earthworks. As a result, besides the presented inventory, it was possible to determine the following processes, and respective environmental burdens as the most important life-cycle hotspots: reservoir filling (CO(2) and CH(4) emission: land use); steel life-cycle (water and energy consumption; CO, particulates, SO(x) and NO(x) emissions); cement life-cycle (water and energy consumption; CO(2) and particulate emissions); and operation of civil construction machines (diesel consumption; NO(x) emissions). Compared with another hydropower studies, the LCI showed magnitude adequacy, with better results than small hydropower, which reveals a scale economy for material and energy exchanges in the case of ltaipu Power Plant. (C) 2009 Elsevier Ltd. All rights reserved.

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This paper presents a nonlinear model with individual representation of plants for the centralized long-term hydrothermal scheduling problem over multiple areas. In addition to common aspects of long-term scheduling, this model takes transmission constraints into account. The ability to optimize hydropower exchange among multiple areas is important because it enables further minimization of complementary thermal generation costs. Also, by considering transmission constraints for long-term scheduling, a more precise coupling with shorter horizon schedules can be expected. This is an important characteristic from both operational and economic viewpoints. The proposed model is solved by a sequential quadratic programming approach in the form of a prototype system for different case studies. An analysis of the benefits provided by the model is also presented. ©2009 IEEE.