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Methodology for Detecting Critical Points in Pressurized Irrigation Networks with Multiple Water Supply Points

机译:在具有多个供水点的加压灌溉网络中检测关键点的方法

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The modernization processes of hydraulic infrastructures from old open channels to pressurized networks have increased water use efficiency along with a dramatic increase of energy consumptions. The significant energy requirements associated with the increment of the energy tariffs for irrigation involve higher production costs for farmers. Therefore, strategies to reduce energy consumption in irrigation districts are strongly demanded. Methodologies based on sectoring and critical points control have been applied to branched networks with a single water supply point, obtaining significant energy savings. In this work, a new critical point control methodology for networks with multiple sources has been developed: the WEPCM algorithm, which uses the NSGA-Ⅱ multi-objective evolutionary algorithm to find the lowest energy consumption operation rule of a set of pumping stations connected to an irrigation network that satisfies the pressure requirements, when the critical points are successively disabled. WECPM has been applied to a real irrigation district in Southern Spain. The obtained results were compared with those achieved by the WEBSOM algorithm, developed for sectoring multiple source networks. The control of critical points by the replacement of two pipes and the installation of four booster pumps provided annual energy savings of 36 % compared to the current network operation. Moreover, the control of critical points was more effective than sectoring, obtaining an additional annual energy saving of 10 %.
机译:从旧的明渠到加压网络的水力基础设施的现代化过程已提高了用水效率,同时能源消耗也急剧增加。与灌溉能源关税增加相关的大量能源需求,给农民带来了更高的生产成本。因此,强烈需要减少灌溉区能耗的策略。基于分区和临界点控制的方法已应用于具有单个供水点的分支网络,从而节省了大量能源。在这项工作中,开发了一种用于多源网络的新的临界点控制方法:WEPCM算法,该算法使用NSGA-Ⅱ多目标进化算法来找到与之相连的一组泵站的最低能耗运行规则。当关键点被连续禁用时,满足压力要求的灌溉网络。 WECPM已应用于西班牙南部的一个真正的灌溉区。将获得的结果与通过为多个源网络划分扇区而开发的WEBSOM算法获得的结果进行比较。与目前的网络运营相比,通过更换两条管道和安装四个增压泵来控制关键点,每年可节省36%的能源。此外,关键点的控制比分区更有效,每年可额外节省10%的能源。

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