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Open AccessArticle

Cost–Benefit Prediction of Asset Management Actions on Water Distribution Networks

by Amir Nafi 1,2,* and Jonathan Brans 1
1
Unité Mixte de Recherche Gestion Territoriale de l’Eau et de l’Environnement (GESTE) IRSTEA-ENGEES, 1 quai Koch, 67070 Strasbourg, France
2
CSIP-ICube, Université de Strasbourg, 3-5, rue de l’Université, 67084 Strasbourg, France
*
Author to whom correspondence should be addressed.
Water 2019, 11(8), 1542; https://doi.org/10.3390/w11081542
Received: 19 June 2019 / Revised: 12 July 2019 / Accepted: 15 July 2019 / Published: 25 July 2019
(This article belongs to the Special Issue Advances in Modeling and Management of Urban Water Networks)
The potential costs and benefits of a combination of asset management actions on the water distribution network are predicted. Two types of actions are considered: maintenance actions and renewal actions. Leak detection and reparation of failures on connections and pipes define the set of potential maintenance actions to be carried out. Renewal actions concern connections, pipes, and meters. All these actions represent the model’s decision variables in order to determine a trade-off between two objectives: (i) the maximization of the water efficiency rate and (ii) the minimization of the total cost of actions to be carried out on the water system. The assessment of objective functions is ensured by an artificial neural network (ANN) trained on a French mandatory database «SISPEA». A non-dominated sorting genetic algorithm (NSGA-II) is coupled to the ANN to reach the set of compromised solutions representing potential actions to achieve. Applied to a real water distribution system in the southeast of France, the proposed decision model indicates that the improvement of water efficiency rate (WER) in the short term requires increasing operation expenditures (OPEX), which represent 99% of the total cost. Results show the existence of a threshold effect that implies to use the budget in a certain way to improve performance. A potential solution can be chosen by the decision maker among the generated Pareto front with regard to the constraint on the budget and the targeted WER. View Full-Text
Keywords: actions; asset management; ANN; prediction; performance; water utility; water system; NSGA-II actions; asset management; ANN; prediction; performance; water utility; water system; NSGA-II
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Nafi, A.; Brans, J. Cost–Benefit Prediction of Asset Management Actions on Water Distribution Networks. Water 2019, 11, 1542.

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