Technical Papers
Jan 25, 2024

Analytical Sensitivity Analysis and Optimization for Cost-Efficient Operation of Water Supply Systems

Publication: Journal of Water Resources Planning and Management
Volume 150, Issue 4

Abstract

Water supply systems (WSS) transport water from the source to the population, requiring a significant amount of energy, particularly for hydraulic pumps. To improve the efficiency of WSS, the use of hydraulic models and optimization algorithms can provide valuable insights for their operation and management. However, the efficient combination of these tools requires an effective and reliable sensitivity analysis. This work presents a novel and precise calculation of the sensitivities for the pump scheduling problem using a real continuous formulation and the extended period simulation (EPS) hydraulic analysis, as used in the generality of hydraulic simulators, such as EPANET. The work was validated through comparison with the finite-difference method (FDM) in two numerical case studies: a simple pump-tank network and the AnyTown Modified benchmark. For the last case study, an optimization process was carried out comparing the results obtained by the FDM and the analytical approach previously validated. The analytical sensitivities were found to be more accurate and require lower computational resources than the alternative approaches.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors gratefully acknowledge the financial support of the Portuguese Foundation for Science and Technology (FCT) and UE/FEDER through the programs CENTRO 2020 and COMPETE 2020 and UID/EMS/00481/2013-FCT under CENTRO-01-0145-FEDER-022083 and Programa Operacional Regional do Centro, through the project I-RETIS-WATER (CENTRO-01-0247-FEDER-069857).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 150Issue 4April 2024

History

Received: Jun 13, 2023
Accepted: Oct 26, 2023
Published online: Jan 25, 2024
Published in print: Apr 1, 2024
Discussion open until: Jun 25, 2024

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Research Fellow, Dept. of Mechanical Engineering, Centre for Mechanical Technology and Automation, DEM-TEMA, Univ. of Aveiro, Campus Universitário de Santiago, Aveiro 3810-193, Portugal; Researcher, Intelligent Systems Associate Laboratory, LASI, Guimarães 4800-058, Portugal (corresponding author). ORCID: https://orcid.org/0000-0001-8915-9664. Email: [email protected]
António Andrade-Campos, Ph.D. [email protected]
Associate Professor, Dept. of Mechanical Engineering, Centre for Mechanical Technology and Automation, DEM-TEMA, Univ. of Aveiro, Campus Universitário de Santiago, Aveiro 3810-193, Portugal; Researcher, Intelligent Systems Associate Laboratory, LASI, Guimarães 4800-058, Portugal. Email: [email protected]

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