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

Boran Ekin Aydin*, Xin Tian, Joost Delsman, Gualbert H.P. Oude Essink, Martine Rutten, Edo Abraham

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)36-45
Number of pages10
JournalEnvironmental Modelling and Software
Volume112
DOIs
Publication statusPublished - 1 Feb 2019

Fingerprint

Dive into the research topics of 'Optimal salinity and water level control of water courses using Model Predictive Control'. Together they form a unique fingerprint.

Cite this