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A comprehensive framework to efficiently plan short and long-term investments in water supply and sewer networks

Author

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  • Ramos-Salgado, Cristóbal
  • Muñuzuri, Jesús
  • Aparicio-Ruiz, Pablo
  • Onieva, Luis

Abstract

Water supply and sewer networks are critical infrastructures that provide a basic service to society. However, these systems constantly age and degrade over time. In addition, since network infrastructures are so extensive in length, they require a significant investment in maintenance tasks. Hence, within the context of infrastructure asset management (IAM), accurately defining the most efficient investment planning possible is essential to ensure their long-term sustainability. This paper presents an original five-step comprehensive framework to successfully implement an infrastructure asset management strategy and plan long-term investments. Moreover, this methodology integrates innovative and relevant operational and convenience factors that, while provide the problem both with realism and practicality, have not been addressed so far. To illustrate the usefulness and applicability of this methodology, the case study of a large water company in Spain is presented.

Suggested Citation

  • Ramos-Salgado, Cristóbal & Muñuzuri, Jesús & Aparicio-Ruiz, Pablo & Onieva, Luis, 2022. "A comprehensive framework to efficiently plan short and long-term investments in water supply and sewer networks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:reensy:v:219:y:2022:i:c:s0951832021007262
    DOI: 10.1016/j.ress.2021.108248
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    References listed on IDEAS

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    Cited by:

    1. Wang, Chang & Zhou, Hua & Lin, Sen & Weng, Xiaodan & Shao, Yu & Yu, Tingchao, 2025. "A hybrid deep survival model for failure modeling of water distribution networks coupling physical survival and data reconstruction," Reliability Engineering and System Safety, Elsevier, vol. 264(PB).
    2. Rifaai, Talha M. & Abokifa, Ahmed A. & Sela, Lina, 2022. "Integrated approach for pipe failure prediction and condition scoring in water infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    3. Mehryar, Mehdi & Hafezalkotob, Ashkan & Azizi, Amir & Sobhani, Farzad Movahedi, 2023. "Dynamic zoning of the network using cooperative transmission and maintenance planning: A solution for sustainability of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
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    6. Shen, Yang & Yang, Zhen & Guo, Li & Zhao, Xiaozhe & Duan, Yao, 2024. "Scenario mapping for critical infrastructure failure under typhoon rainfall: A dependency and causality approach," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    7. Daulat, Shamsuddin & Rokstad, Marius Møller & Bruaset, Stian & Langeveld, Jeroen & Tscheikner-Gratl, Franz, 2024. "Evaluating the generalizability and transferability of water distribution deterioration models," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Fan, Xudong & Zhang, Xijin & Yu, Xiong Bill, 2023. "Uncertainty quantification of a deep learning model for failure rate prediction of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

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