Modelling flow and pressure controlled pump stations with application to optimal pump scheduling

Many pressurized water distribution systems use pumps for the transport of water and tank filling. Modelling groups of parallel pumps with a common control target remains an open problem in hydraulic modelling. In this article, the authors show how to model flow- and pressure-controlled pumping stat...

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Published in:Cambridge Prisms: Water Vol. 3
Main Authors: Elhay, Sylvan, Fischer, Michael, Piller, Olivier, Deuerlein, Jochen, Simpson, Angus Ross
Format: Journal Article
Language:English
Published: Cambridge University Press 01.01.2025
Subjects:
bilevel optimization
Civil Engineering
Computer Science
content model
Engineering Sciences
Mathematics
Modeling and Simulation
Nash equilibrium
Operations Research
Optimization and Control
pump scheduling
variable speed pump
variable speed pump
content model
Nash Equilibrium
bi-level optimization
Pump scheduling
ISSN:2755-1776, 2755-1776
Online Access:Get full text
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Abstract Many pressurized water distribution systems use pumps for the transport of water and tank filling. Modelling groups of parallel pumps with a common control target remains an open problem in hydraulic modelling. In this article, the authors show how to model flow- and pressure-controlled pumping stations in the analysis of hydraulic pipe networks. The process comprises two distinct phases. In the first phase, the pump station is regarded as a single surrogate link connected to the remainder of the network. The flow and head gain at the active pump stations are computed to ensure satisfaction of the network load requirements. In the second phase, an energy minimization problem is formulated for each local pump station to ascertain the optimal pump speed and which pumps should be active. For real-time applications, very significant improvements are possible by hybrid modelling, such as coupling deterministic modelling, surrogate modelling and neural networks. This can lead to performance improvement with a magnitude of the order of $ {10}^5 $ . The application to optimal pump scheduling in the context of strongly varying electricity tariffs is summarized.
AbstractList Many pressurized water distribution systems use pumps for transport of water and tank-filling. Modelling groups of parallel pumps that have a common control target is still an open problem in hydraulic modelling. In this paper the authors show how to model flow-and pressure controlled pumping stations in the analysis of hydraulic pipe networks. The process is comprised of two distinct phases. In the first phase, the pump station is regarded as a single surrogate link connected to the remainder of the network. The flow and head gain at the active pump stations are computed to ensure satisfaction of the network load requirements. In the second phase, an energy minimisation problem is formulated for each local pump station to ascertain the optimal pump speed and which are the active pumps. For real-time applications very significant improvements are possible by hybrid modelling: coupling deterministic modelling, surrogate modelling and neural networks. This can lead to performance improvement with magnitude of the order of 1e5 . The application to optimal pump scheduling in the context of strongly varying electricity tariffs is summarised.
Many pressurized water distribution systems use pumps for the transport of water and tank filling. Modelling groups of parallel pumps with a common control target remains an open problem in hydraulic modelling. In this article, the authors show how to model flow- and pressure-controlled pumping stations in the analysis of hydraulic pipe networks. The process comprises two distinct phases. In the first phase, the pump station is regarded as a single surrogate link connected to the remainder of the network. The flow and head gain at the active pump stations are computed to ensure satisfaction of the network load requirements. In the second phase, an energy minimization problem is formulated for each local pump station to ascertain the optimal pump speed and which pumps should be active. For real-time applications, very significant improvements are possible by hybrid modelling, such as coupling deterministic modelling, surrogate modelling and neural networks. This can lead to performance improvement with a magnitude of the order of $ {10}^5 $ . The application to optimal pump scheduling in the context of strongly varying electricity tariffs is summarized.
ArticleNumber e11
Author Fischer, Michael
Elhay, Sylvan
Deuerlein, Jochen
Piller, Olivier
Simpson, Angus Ross
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Keywords variable speed pump
content model
Nash Equilibrium
bi-level optimization
Pump scheduling
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Snippet Many pressurized water distribution systems use pumps for the transport of water and tank filling. Modelling groups of parallel pumps with a common control...
Many pressurized water distribution systems use pumps for transport of water and tank-filling. Modelling groups of parallel pumps that have a common control...
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SubjectTerms bilevel optimization
Civil Engineering
Computer Science
content model
Engineering Sciences
Mathematics
Modeling and Simulation
Nash equilibrium
Operations Research
Optimization and Control
pump scheduling
variable speed pump
Title Modelling flow and pressure controlled pump stations with application to optimal pump scheduling
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