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

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

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
17 Downloads (Pure)

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

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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