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Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization. / Aydin, Boran; Rutten, Martine; Abraham, Edo.

EPiC Series in Engineering: HIC 2018. 13th International Conference on Hydroinformatics. ed. / Goffredo La Loggia; Gabriele Freni; Valeria Puleo; Mauro De Marchis. Vol. 3 EasyChair, 2018. p. 117-122 (EPiC Series in Engineering; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Aydin, B, Rutten, M & Abraham, E 2018, Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization. in G La Loggia, G Freni, V Puleo & M De Marchis (eds), EPiC Series in Engineering: HIC 2018. 13th International Conference on Hydroinformatics. vol. 3, EPiC Series in Engineering, vol. 3, EasyChair, pp. 117-122, HIC 2018: 13th International Conference on Hydroinformatics, Palermo, Italy, 1/07/18. https://doi.org/10.29007/rpmp

APA

Aydin, B., Rutten, M., & Abraham, E. (2018). Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization. In G. La Loggia, G. Freni, V. Puleo, & M. De Marchis (Eds.), EPiC Series in Engineering: HIC 2018. 13th International Conference on Hydroinformatics (Vol. 3, pp. 117-122). (EPiC Series in Engineering; Vol. 3). EasyChair. https://doi.org/10.29007/rpmp

Vancouver

Aydin B, Rutten M, Abraham E. Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization. In La Loggia G, Freni G, Puleo V, De Marchis M, editors, EPiC Series in Engineering: HIC 2018. 13th International Conference on Hydroinformatics. Vol. 3. EasyChair. 2018. p. 117-122. (EPiC Series in Engineering). https://doi.org/10.29007/rpmp

Author

Aydin, Boran ; Rutten, Martine ; Abraham, Edo. / Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization. EPiC Series in Engineering: HIC 2018. 13th International Conference on Hydroinformatics. editor / Goffredo La Loggia ; Gabriele Freni ; Valeria Puleo ; Mauro De Marchis. Vol. 3 EasyChair, 2018. pp. 117-122 (EPiC Series in Engineering).

BibTeX

@inproceedings{1b089be6c48b4472a0fa061cec911e5d,
title = "Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization",
abstract = "Surface water salinization in deltaic areas due to saline groundwater exfiltration is an important issue. Fresh water diverted from the rivers is used for flushing the canals and the ditches in coastal areas to remove the low quality saline surface water mixed with saline groundwater. Worldwide, deltaic areas are under stress due to climate change, sea level increase and decrease in fresh water availability. The current fresh water management strategies in polders to overcome the salinization problem solely depends on uncontrolled freshwater use. However, this operation will not be effective during a scarce freshwater availability scenario and has to be revised for efficient management possibilities. With the advances in real time measurement of salinity and water level measurements, using a Model Predictive Control (MPC) scheme for the operation of a polder system is gaining popularity. MPC is a powerful control tool that can handle multiple objectives, consider the constraints and the uncertainties of the system. However, a MPC scheme requires a simple and reliable internal model that will be used to calculate the optimum control actions. The internal model should be robust, should reflect the system behaviour with enough detail and should not be computationally costly. In this paper, a MPC scheme is proposed using the discretized linearized De Saint Venant (SV) and Advection-Diffusion (AD) equations as the internal model of the controller. The proposed scheme will be able to control salinity and water level at any discretization point by manipulating the flushing and outflow discharges. This is an ongoing research with tests continuing on a realistic test case.",
keywords = "Flushing, polders, Salinization, Water quality control, water quantity control",
author = "Boran Aydin and Martine Rutten and Edo Abraham",
year = "2018",
month = "9",
day = "20",
doi = "10.29007/rpmp",
language = "English",
volume = "3",
series = "EPiC Series in Engineering",
publisher = "EasyChair",
pages = "117--122",
editor = "{La Loggia}, { Goffredo} and Gabriele Freni and Valeria Puleo and {De Marchis}, Mauro",
booktitle = "EPiC Series in Engineering",

}

RIS

TY - GEN

T1 - Model Predictive Control of Salinity and Water Level in a Hypothetical Polder Ditch: Is it Possible to Use the Discretized Linearized Physical Equations for Optimization

AU - Aydin, Boran

AU - Rutten, Martine

AU - Abraham, Edo

PY - 2018/9/20

Y1 - 2018/9/20

N2 - Surface water salinization in deltaic areas due to saline groundwater exfiltration is an important issue. Fresh water diverted from the rivers is used for flushing the canals and the ditches in coastal areas to remove the low quality saline surface water mixed with saline groundwater. Worldwide, deltaic areas are under stress due to climate change, sea level increase and decrease in fresh water availability. The current fresh water management strategies in polders to overcome the salinization problem solely depends on uncontrolled freshwater use. However, this operation will not be effective during a scarce freshwater availability scenario and has to be revised for efficient management possibilities. With the advances in real time measurement of salinity and water level measurements, using a Model Predictive Control (MPC) scheme for the operation of a polder system is gaining popularity. MPC is a powerful control tool that can handle multiple objectives, consider the constraints and the uncertainties of the system. However, a MPC scheme requires a simple and reliable internal model that will be used to calculate the optimum control actions. The internal model should be robust, should reflect the system behaviour with enough detail and should not be computationally costly. In this paper, a MPC scheme is proposed using the discretized linearized De Saint Venant (SV) and Advection-Diffusion (AD) equations as the internal model of the controller. The proposed scheme will be able to control salinity and water level at any discretization point by manipulating the flushing and outflow discharges. This is an ongoing research with tests continuing on a realistic test case.

AB - Surface water salinization in deltaic areas due to saline groundwater exfiltration is an important issue. Fresh water diverted from the rivers is used for flushing the canals and the ditches in coastal areas to remove the low quality saline surface water mixed with saline groundwater. Worldwide, deltaic areas are under stress due to climate change, sea level increase and decrease in fresh water availability. The current fresh water management strategies in polders to overcome the salinization problem solely depends on uncontrolled freshwater use. However, this operation will not be effective during a scarce freshwater availability scenario and has to be revised for efficient management possibilities. With the advances in real time measurement of salinity and water level measurements, using a Model Predictive Control (MPC) scheme for the operation of a polder system is gaining popularity. MPC is a powerful control tool that can handle multiple objectives, consider the constraints and the uncertainties of the system. However, a MPC scheme requires a simple and reliable internal model that will be used to calculate the optimum control actions. The internal model should be robust, should reflect the system behaviour with enough detail and should not be computationally costly. In this paper, a MPC scheme is proposed using the discretized linearized De Saint Venant (SV) and Advection-Diffusion (AD) equations as the internal model of the controller. The proposed scheme will be able to control salinity and water level at any discretization point by manipulating the flushing and outflow discharges. This is an ongoing research with tests continuing on a realistic test case.

KW - Flushing

KW - polders

KW - Salinization

KW - Water quality control

KW - water quantity control

U2 - 10.29007/rpmp

DO - 10.29007/rpmp

M3 - Conference contribution

VL - 3

T3 - EPiC Series in Engineering

SP - 117

EP - 122

BT - EPiC Series in Engineering

A2 - La Loggia, Goffredo

A2 - Freni, Gabriele

A2 - Puleo, Valeria

A2 - De Marchis, Mauro

PB - EasyChair

ER -

ID: 47507204