Innovative foresight for water utilities asset management using PRISM software

Amir Nafi and François Destandau

Utilities Policy, 2024, vol. 90, issue C

Abstract: Our analysis aims to better understand water losses by developing a specific methodology for estimating water leak flow rates and durations. Additionally, it aims to improve asset management practices for drinking water utilities by forecasting the costs and benefits of investment and operational decisions on the network. Current utility practices are compared to a "do nothing" policy and to the potential effective asset management policies proposed by an artificial neural network (ANN) based software, PRISM. Applied to four utilities in France, our methodology provides valuable insights for enhancing water loss estimates and finding trade-off asset management policies.

Keywords: Asset management; Drinking water network; PRISM software (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:juipol:v:90:y:2024:i:c:s0957178724000997

DOI: 10.1016/j.jup.2024.101806

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