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Optimum hydropower potential study on nine Brazilian drainage basins using a numerical algorithm

机译:使用数值算法的九个巴西排水盆地的最佳水电潜力研究

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The proportion of hydroelectric participation in the Brazilian electricity matrix stretches beyond 65% of total energy generation, reaching around 248 GW. Much of this comes from the Amazon Basin, where more than half have not yet been explored. With the objective of assisting the development of hydroelectric plants in Brazil and other regions of the world, this study presents a numerical algorithm constructed from Scilab(R) software to calculate the optimum power for a hydropower plant that maximizes net financial benefits. The algorithm was applied to 57 fluviometric stations in nine drainage basins from different regions of Brazil, enabling the assessment of all relevant parameters for energy generation and economic analysis of hypothetical plants at each station, as well as analysis of the total hydroelectric energy potential of each basin. Energy potential in the studied basins exceeds 2 GW, generating more than 27 TWh/year. The economic results were related to energy, which allowed for a series of discussions about the hydroelectric market in Brazil. Finally, a study was conducted on the correlation between potential and the geometric, hydrological and perennial coefficients of the hydrographic basins. The correlations obtained were not satisfactory since heterogeneous and geographically distant hydrographic basins were used.
机译:巴西电基质的水电参与比例延伸超过总能量的65%,达到约248 GW。其中大部分来自亚马逊盆地,尚未探索一半以上。凭借协助巴西水力发电的发展和世界其他地区的发展,本研究介绍了一种由Scilab(R)软件构建的数值算法,以计算最大化净金融益处的水电站的最佳功率。将该算法应用于来自巴西不同地区的九个排水盆中的57个氟化机站,从而可以评估每个站的假想植物的能量发电和经济分析的所有相关参数,以及分析每种水力电能潜力盆地。学习盆中的能量潜力超过2 GW,产生超过27次/年。经济结果与能源有关,允许一系列关于巴西水力发电的一系列讨论。最后,对水文盆地的电位与几何,水文和多年生系数之间的相关性进行了研究。所获得的相关性并不令人满意,因为使用了异质和地理上遥远的水文盆。

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