Overcoming renewable energy climatological risks: the hydroeolic pool

Pinto, L.M.V.G.; Szczupak, J.; Sica, D.; Melo, Elbia

doi:10.1109/eeeic.2012.6221587

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…In this sense, the work [4] discusses the dynamics of climatic variables associated with hydroelectric generation and wind power, treating the main features of each, possible complementarities, as shown in Figure 2, and the need for specific and innovative models for the phenomenon under study. It presented an integrated model for assessing the impact of the inclusion of new sources in the Brazilian system and market.…”

Section: Introductionmentioning

confidence: 99%

Short-term wind farm power forecasting with numerical weather prediction

Sperandio

Ferreira

Moraes

et al. 2013

4th International Conference on Power Engineering, Energy and Electrical Drives

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The deployment of wind farms in Brazil is beginning to affect the planning and scheduling of energy operation, mainly in south and northeast subsystems. As the wind is shifting, which can vary significantly even in a small interval of time, the System Operator must be prepared to act in the dispatch orders of the other sources. This paper presents a methodology for assessing meteorological and geographical data to measure the wind field in the turbine hub height, allowing to calculate the instantaneous electric power produced. This estimate can be extended to various points and times of day in order to monitor the variation of wind caused by climatic effects. The climatic variables are submitted to the California Meteorological Model (CALMET) to calculate wind fields in a three-dimensional mesh with a good assertiveness in the short term. Then, the forecast is used with the wind turbine model to obtain the electric power generated for a few hours ahead. With this result the System Operator can perform a more precise coordination of the hydrothermal short term dispatch, as well as the operative power reserve dimensioning.

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Section: Introductionmentioning

confidence: 99%

Short-term wind farm power forecasting with numerical weather prediction

Sperandio

Ferreira

Moraes

et al. 2013

4th International Conference on Power Engineering, Energy and Electrical Drives

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“…Esta resolução, entre outras coisas, estabelece as diretrizes para a venda de energia por parte de usuários finais à rede. Apesar dos fatos, a penetração em grande escala das energias renováveis nos sistemas de potência introduz variabilidade e falta de armazenamento de energia (PINTO et al, 2012). Os sistemas de potência foram projetados para gerar a energia suficiente para atender a demanda com certas condições de qualidade e confiabilidade.…”

Section: Introductionunclassified

Metodologia para avaliação do dimensionamento de sistemas fotovoltaicos conectados à rede.

Aguilar¹,

Javier²

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Este trabalho apresenta a avaliação do dimensionamento de sistemas fotovoltaicos conectados à rede por meio de indicadores de custo de energia; foram feitas diversas simulações de geração de energia para sistemas fotovoltaicos com diferentes configurações e tamanhos com o objetivo de verificar a aplicabilidade do método proposto a qualquer sistema. Com a utilização dos indicadores busca-se determinar uma configuração adequada de módulos fotovoltaicos dentro do sistema, isto é, o espaçamento entre fileiras de módulos, o ângulo de inclinação destes, a quantidade de strings e a quantidade de módulos por string, considerando o impacto que estas variáveis têm na geração de energia do sistema ao longo dos anos de vida do projeto. Para avaliar esse impacto são utilizados três indicadores, a saber, o custo da energia gerada, entendida como o custo de instalação de um sistema fotovoltaico (incluindo custo de equipamentos, estruturas, componentes elétricos, mão de obra, lucro do instalador, etc.) dividido pela quantidade de energia que o sistema é capaz de entregar à rede elétrica, o custo nivelado de energia simples (sLCOE por sua sigla em inglês) e o custo nivelado de energia (LCOE) calculado pelo método da taxa de encargo fixo (FCR por sua sigla em inglês). Os indicadores são apresentados em valores em USD/kWh. As simulações foram realizadas em duas locações utilizando equipamentos comercializados atualmente, para sistemas com e sem rastreador solar. O software utilizado para realizar as simulações foi o System Advisor Model (SAM), software gratuito desenvolvido pelo National Renewable Energy Laboratory (NREL) para dimensionamento e cálculo de sistemas fotovoltaicos.

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“…There is also an associated important factor, in addition to the continuous changes in the available energy: the difference between available resources and variation of load [9] , which means uncertainty in energy production. Studies of possible changes in the regulatory market, and also estimation of prices, have been discussed [9] , suggesting solutions as they create hydroeolic pools between participants to increase season complementarity as a mitigation tool.…”

Section: Introductionmentioning

confidence: 99%

Reduction of CO2 emissions in isolated power systems using energy storage.

Piernagorda¹,

Oswaldo²

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Today, the vast majority of energy used in isolated systems is generated from fossil fuels. This paper assesses the potential for reducing CO2 emissions in two test systems, the Fernando de Noronha system and the platform supply vessel system using Energy storage. In addition, as a major contribution, a methodology is proposed to find the ideal and lowest cost combination of renewable energy generation to meet one of the project-specific criteria: renewable penetration level, percentage reduction of CO2 emissions and a combination of the two.The analysis in isolated island systems is performed using solar and wind energy, these renewable sources contribute to the reduction of fossil fuel dependence of these systems. The variability of these sources is attenuated with the use of energy storage systems, allowing the increase of the participation of renewable energies. The methodology applied to island power systems is based on the consideration of multiple scenarios with different rated photovoltaic power, wind turbines and energy storage systems. These scenarios are analyzed using the HOMER software.The results showed that the same level of renewable energy penetration can be achieved by multiple combinations of solar energy, wind energy and the energy stored in batteries. In addition, an economical assessment of the isolated system is shown, allowing to choose the most cost-effective combination that meets the desired penetration level, considering fuel price, renewables equipment, batteries, CO2 emissions tax and aging batteries. The methodology proposed in this paper allows the selection of a combination of renewable energy and batteries that can be made independently of the preliminary analysis, in which the solutions that meet the requirements are selected.Finally, it is shown that the use of batteries in diesel-powered ship power systems promotes a reduction in CO2 emissions. This analysis also shows the impact of varying different battery parameters and different Li-ion battery technologies such as Lithium Iron Phosphate and Lithium Titanate.

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Overcoming renewable energy climatological risks: the hydroeolic pool

Cited by 5 publications

References 15 publications

Short-term wind farm power forecasting with numerical weather prediction

Short-term wind farm power forecasting with numerical weather prediction

Metodologia para avaliação do dimensionamento de sistemas fotovoltaicos conectados à rede.

Reduction of CO2 emissions in isolated power systems using energy storage.

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