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Regulating reservoirs in pressurized irrigation water supply systems

机译:调节加压灌溉供水系统中的水库

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摘要

A regulating reservoir between the water supply source and the delivery system buffers the system from fluctuating demands. In addition, the system can reduce energy costs, by storing water pumped during off-peak energy tariff times and by improving the operation of pumping stations. A model is proposed to determine a regulating reservoir's capacity and establish an annual pumping schedule that accounts for energy costs. The optimal reservoir size and operation minimize the sum of the amortized reservoir construction and annual pumping costs (annual total cost). The solution was determined using a dichotomic searching procedure that includes one algorithm to calculate the optimal reservoir dimensions using Newton's method and another algorithm to determine the optimal annual pumping to the reservoir based on the concept of 'emptying period'. The model was applied to a pressurized irrigation delivery system located in southern Spain. The analysis used historical hourly water demand data. A cluster analysis was used to screen non-typical demand data from the data set before extracting a typical temporal demand pattern. The analysis indicated that the addition of a regulating reservoir with optimal size and operation scheme was cost effective. Total costs can be further reduced by adjusting the demand pattern to better match with off-peak energy tariff times.
机译:供水源和输送系统之间的调节水库可以缓冲系统的波动需求。此外,该系统还可以通过存储在非高峰期电价时段抽水并改善抽水站的运行来降低能源成本。提出了一个模型,用于确定调节水库的容量并建立考虑能源成本的年度抽水计划。最佳的水库大小和运行方式可将摊余的水库建设和年度抽水成本(年度总成本)之和最小化。解决方案是使用二分法搜索程序确定的,该程序包括一种使用牛顿法计算最佳储层尺寸的算法,以及另一种基于“空期”概念确定向储层的年度最佳抽水量的算法。该模型已应用于西班牙南部的加压灌溉输送系统。该分析使用了历史小时需水量数据。在提取典型的时间需求模式之前,使用聚类分析从数据集中筛选非典型需求数据。分析表明,添加具有最佳尺寸和运行方案的调节水库具有成本效益。通过调整需求模式以更好地适应非高峰期的能源关税时间,可以进一步降低总成本。

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