• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Water Resources Management >Optimal Operation of Pressurized Irrigation Networks with Several Supply Sources
【24h】

Optimal Operation of Pressurized Irrigation Networks with Several Supply Sources

机译：具有多个供应源的加压灌溉网络的优化运行

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The evolution of water distribution systems to pressurized networks has improved water use efficiency, but also significantly increased energy consumption. However, sustainable irrigated agriculture must be characterized by the reasonable and efficient use of both water and energy. Irrigation sectoring where farmers are organized in turns is one of the most effective measures to reduce energy use in irrigation water distribution networks. Previous methodologies developed for branched irrigation networks with one single source node have resulted in considerable energy savings. However, these methodologies were not suitable for networks with several water supply points. In this work, we develop an optimization methodology (WEBSOM) aimed at minimizing energy consumption and based on operational sectoring for networks with several source nodes. Using the NSGA-11 multi-objective genetic algorithm, the optimal sectoring operation calendar that minimizes both energy consumption and pressure deficit is obtained. This methodology is tested in the irrigation district of Palos de la Frontera (Huelva, Spain) with three pumping stations, showing that potential annual energy savings of between 20 % -and 29 % can be achieved, thus ensuring full pressure requirements in nearly all hydrants, along with the total satisfaction of irrigation requirements.
机译：自来水分配系统向加压网络的演进提高了用水效率，但也显着增加了能耗。但是，可持续灌溉农业必须以合理有效利用水和能源为特征。轮流组织农民的灌溉部门是减少灌溉用水分配网络中能源消耗的最有效措施之一。为具有一个单一源节点的分支灌溉网络开发的先前方法已节省了大量能源。但是，这些方法不适用于具有多个供水点的网络。在这项工作中，我们开发了一种优化方法论（WEBSOM），旨在最小化能耗并基于具有多个源节点的网络的操作分区。使用NSGA-11多目标遗传算法，可以获得使能源消耗和压力不足最小化的最佳扇区操作日历。该方法在具有三个泵站的帕洛斯·德拉弗龙特拉（Palos de la Frontera）灌溉区（西班牙韦尔瓦）进行了测试，结果表明，每年可实现20％-29％的节能量，从而确保几乎所有消防栓的压力需求，以及对灌溉要求的完全满足。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号