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Real-time control of combined surface water quantity and quality: polder flushing.

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Title: Real-time control of combined surface water quantity and quality: polder flushing.
Authors: Xu, M.1 min.xu@tudelft.nl;, van Overloop, P. J.1 p.j.a.t.m.vanoverloop@tudelft.nl;, van de Giesen, N. C.1 n.c.vandegiesen@tudelft.nl, Stelling, G. S.2 g.s.stelling@tudelft.nl
Source: Water Science & Technology. 2010, Vol. 61 Issue 4, p869-878. 10p. 4 Diagrams, 4 Charts, 8 Graphs.
Subjects: Real-time control, Water quality monitoring, Water supply, Water depth, Modeling (Sculpture), Automatic control systems, Algorithms, Industrial efficiency, Water pollution
Abstract: In open water systems, keeping both water depths and water quality at specified values is critical for maintaining a 'healthy' water system. Many systems still require manual operation, at least for water quality management. When applying real-time control, both quantity and quality standards need to be met. In this paper, an artificial polder flushing case is studied. Model Predictive Control (MPC) is developed to control the system. In addition to MPC, a 'forward estimation' procedure is used to acquire water quality predictions for the simplified model used in MPC optimization. In order to illustrate the advantages of MPC, classical control [Proportional-Integral control (PI)] has been developed for comparison in the test case. The results show that both algorithms are able to control the polder flushing process, but MPC is more efficient in functionality and control flexibility. [ABSTRACT FROM AUTHOR]
Copyright of Water Science & Technology is the property of IWA Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 48594785
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Real-time control of combined surface water quantity and quality: polder flushing.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+M%2E%22">Xu, M.</searchLink><relatesTo>1</relatesTo><i> min.xu@tudelft.nl;</i><br /><searchLink fieldCode="AR" term="%22van+Overloop%2C+P%2E+J%2E%22">van Overloop, P. J.</searchLink><relatesTo>1</relatesTo><i> p.j.a.t.m.vanoverloop@tudelft.nl;</i><br /><searchLink fieldCode="AR" term="%22van+de+Giesen%2C+N%2E+C%2E%22">van de Giesen, N. C.</searchLink><relatesTo>1</relatesTo><i> n.c.vandegiesen@tudelft.nl</i><br /><searchLink fieldCode="AR" term="%22Stelling%2C+G%2E+S%2E%22">Stelling, G. S.</searchLink><relatesTo>2</relatesTo><i> g.s.stelling@tudelft.nl</i>
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  Data: <searchLink fieldCode="JN" term="%22Water+Science+%26+Technology%22">Water Science & Technology</searchLink>. 2010, Vol. 61 Issue 4, p869-878. 10p. 4 Diagrams, 4 Charts, 8 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Real-time+control%22">Real-time control</searchLink><br /><searchLink fieldCode="DE" term="%22Water+quality+monitoring%22">Water quality monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Water+supply%22">Water supply</searchLink><br /><searchLink fieldCode="DE" term="%22Water+depth%22">Water depth</searchLink><br /><searchLink fieldCode="DE" term="%22Modeling+%28Sculpture%29%22">Modeling (Sculpture)</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+control+systems%22">Automatic control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+efficiency%22">Industrial efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Water+pollution%22">Water pollution</searchLink>
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  Data: In open water systems, keeping both water depths and water quality at specified values is critical for maintaining a 'healthy' water system. Many systems still require manual operation, at least for water quality management. When applying real-time control, both quantity and quality standards need to be met. In this paper, an artificial polder flushing case is studied. Model Predictive Control (MPC) is developed to control the system. In addition to MPC, a 'forward estimation' procedure is used to acquire water quality predictions for the simplified model used in MPC optimization. In order to illustrate the advantages of MPC, classical control [Proportional-Integral control (PI)] has been developed for comparison in the test case. The results show that both algorithms are able to control the polder flushing process, but MPC is more efficient in functionality and control flexibility. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Water Science & Technology is the property of IWA Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.2166/wst.2010.847
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      – Code: eng
        Text: English
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        PageCount: 10
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      – SubjectFull: Real-time control
        Type: general
      – SubjectFull: Water quality monitoring
        Type: general
      – SubjectFull: Water supply
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      – SubjectFull: Water depth
        Type: general
      – SubjectFull: Modeling (Sculpture)
        Type: general
      – SubjectFull: Automatic control systems
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Industrial efficiency
        Type: general
      – SubjectFull: Water pollution
        Type: general
    Titles:
      – TitleFull: Real-time control of combined surface water quantity and quality: polder flushing.
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            NameFull: van Overloop, P. J.
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            NameFull: van de Giesen, N. C.
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              Text: 2010
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