首页> 外文期刊>Environmental Modelling & Software >Optimal salinity and water level control of water courses using Model Predictive Control
【24h】

Optimal salinity and water level control of water courses using Model Predictive Control

机译:基于模型预测控制的水质最佳盐度和水位控制

获取原文
获取原文并翻译 | 示例
       

摘要

Worldwide, delta areas are under stress due to climate change. With rising sea levels and decreasing freshwater availability, surface water salinization due to groundwater exfiltration is expected to increase in these low-lying areas. To counteract surface water salinization, freshwater diverted from rivers is used to flush agricultural ditches. In this paper, we demonstrate a Model Predictive Control (MPC) scheme to control salinity and water levels in a water course while minimizing freshwater usage. A state space description of the discretized De Saint Venant and advection-dispersion equations for water and salt transport, respectively, is used as the internal model of the controller. The developed MPC scheme is tested using groundwater exfiltration data from two different representative Dutch polders. The tests demonstrate that water levels and salinity concentrations can successfully be controlled within set limits while minimizing the freshwater used.
机译:在全球范围内,三角洲地区由于气候变化而承受着压力。随着海平面的上升和淡水供应的减少,在这些低洼地区,由于地下水渗漏而引起的地表水盐碱化预计会增加。为了抵消地表水的盐碱化,从河流引来的淡水用于冲洗农业沟渠。在本文中,我们演示了一种模型预测控制(MPC)方案,该方案可控制水道中的盐度和水位,同时最大程度地减少淡水用量。离散的De Saint Venant的状态空间描述和分别用于水和盐传输的对流扩散方程被用作控制器的内部模型。使用来自两个不同的代表性荷兰田的地下水渗透数据测试了开发的MPC方案。测试表明,水位和盐度浓度可以成功地控制在设定的限值内,同时将所用的淡水降至最低。

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