Abstract

To fulfil the objective of providing acceptable level of service to customers, the water managers have to plan how to operate, maintain and rehabilitate the system under budget constraints. The model presented in this paper uses risk cost as an appropriate framework to define the optimal replacement time prediction based on the balance between investment for replacing and expenditures for maintaining the asset. An economic analysis compares the costs associated with maintaining an existing pipe in service, being completely depreciated or not, to the cost of replacing or rehabilitating the pipe. On this basis, the right time in the future to rehabilitate the pipeline can be determined. The costs associated with an existing pipe include direct operational and maintenance costs and indirect costs, such as those associated with risk of failure. The optimal replacement time is identified as the year in which the cost to maintain the existing stock of pipes exceed the investment to replace it. A dynamic programming tool was developed to search the vast combinatorial solution space of the problem. The model was applied, with the aim of supporting management decisions, to the wastewater network of Oslo in Norway, managed by Oslo Vann og Avløpsetaten (Oslo VAV), using available real-world information to estimate expected costs of maintenance and rehabilitation. The results show that a constant value for lifetime should not be applied to all the pipelines in the stock, as currently done by the utility for long-term investment; rather it is wiser to define different values for different cohorts of pipelines, to reduce the uncertainties associated with generalisations for simplification. The model has been applied to wastewater pipes, but is in principle valid for any aging infrastructure.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000038
https://www.cabdirect.org/cabdirect/abstract/20103187768,
https://cris.unibo.it/handle/11585/88026,
https://academic.microsoft.com/#/detail/1967930038
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Document information

Published on 01/01/2010

Volume 2010, 2010
DOI: 10.1061/(asce)wr.1943-5452.0000038
Licence: CC BY-NC-SA license

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