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Optimal design of hydroelectric projects in Uttara Kannada, India

机译:印度Uttara Kannada水电项目的优化设计

摘要

The planning of water resources depends on the type and size of projects, the ecological factors involved, etc. Emphasis is placed on presenting an overview of water resources through meteorological, hydrological, ecological and economic data. Economic data include all costs and benefits, specifically those hitherto under estimated, environmental social costs and benefits. This study was carried out on the Bedthi and Aghnashini rivers in the Uttara Kannada district of the Western Ghats region, Karnataka State, India. It is estimated that 720 and 510 million kWh of electricity can be generated in Bedthi and Aghnashini River basins, respectively, if all the streams are harnessed. Focusing on land submergence impact, a model is proposed to minimize submergence and maximize net energy in a region with seasonal power generation, reservoir storage capacity (to meet the region's demand during all seasons)and installed generation capacity as the decision variables. Net energy analyses incorporating biomass energy lost in submergence show that maximization in net energy at a site is possible if the hydroelectric generation capacity is adjusted according to the seasonal variations in the river's water discharge. A Decision Support System (DSS) used for optimal design of hydroelectric projects in Uttara Kannada district is discussed.
机译:水资源规划取决于项目的类型和规模,所涉及的生态因素等。重点是通过气象,水文,生态和经济数据对水资源进行概述。经济数据包括所有成本和收益,特别是迄今为止估计的环境社会成本和收益。这项研究是在印度卡纳塔克邦西高止山脉地区的Uttara Kannada地区的Bedthi河和Aghnashini河上进行的。如果利用所有河流,估计在贝德蒂河和阿格纳什尼河流域分别可发电720和5.1亿千瓦时。针对土地淹没的影响,提出了一个模型,该模型以季节性发电,水库存储容量(以满足所有季节的需求)和装机容量作为决策变量,以最小化淹没并最大化区域的净能量。结合淹没过程中损失的生物质能进行的净能分析表明,如果根据河流排水量的季节性变化来调整水力发电能力,则可以实现站点内净能的最大化。讨论了用于Uttara Kannada地区水电项目优化设计的决策支持系统(DSS)。

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