LAPSE:2018.0266
Published Article
LAPSE:2018.0266
Minimizing the Effect of Substantial Perturbations in Military Water Systems for Increased Resilience and Efficiency
Corey M. James, Michael E. Webber, Thomas F. Edgar
July 31, 2018
A model predictive control (MPC) framework, exploiting both feedforward and feedback control loops, is employed to minimize large disturbances that occur in military water networks. Military installations’ need for resilient and efficient water supplies is often challenged by large disturbances like fires, terrorist activity, troop training rotations, and large scale leaks. This work applies the effectiveness of MPC to provide predictive capability and compensate for vast geographical differences and varying phenomena time scales using computational software and actual system dimensions and parameters. The results show that large disturbances are rapidly minimized while maintaining chlorine concentration within legal limits at the point of demand and overall water usage is minimized. The control framework also ensures pumping is minimized during peak electricity hours, so costs are kept lower than simple proportional control. Thecontrol structure implemented in this work is able to support resiliency and increased efficiency on military bases by minimizing tank holdup, effectively countering large disturbances, and efficiently managing pumping.
Keywords
control, Energy, military, Water
Suggested Citation
James CM, Webber ME, Edgar TF. Minimizing the Effect of Substantial Perturbations in Military Water Systems for Increased Resilience and Efficiency. (2018). LAPSE:2018.0266
Author Affiliations
James CM: Department of Chemistry and Life Science, United States Military Academy, West Point, NY 10996, USA
Webber ME: Department of Mechanical Engineering, University of Texas at Austin, Austin, TX 78712, USA
Edgar TF: Department of Chemical Engineering, University of Texas at Austin, Austin, TX 78712, USA
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Journal Name
Processes
Volume
5
Issue
4
Article Number
E60
Year
2017
Publication Date
2017-10-18
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr5040060, Publication Type: Journal Article
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LAPSE:2018.0266
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doi:10.3390/pr5040060
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Jul 31, 2018
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CC BY 4.0
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