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State of Technology Report for Force Main Rehabilitation, Final ...

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7.0 GAPS BETWEEN NEEDS AND AVAILABLE TECHNOLOGIES<br />

All <strong>of</strong> the tools <strong>for</strong> <strong>for</strong>ce main system rehabilitation programs are not yet in place. This section addresses<br />

the gaps that need to be closed in order to provide utilities with the decision-making processes and the<br />

rehabilitation technologies necessary to develop such programs. The first section will address data gaps<br />

in terms <strong>of</strong> knowledge <strong>of</strong> the host pipe condition and the second section will address capability gaps in<br />

terms <strong>of</strong> available renewal technologies.<br />

7.1 Data Gaps<br />

The data gaps between needs and available technologies are significant.<br />

The available inspection technologies can obtain the required data concerning the condition <strong>of</strong> <strong>for</strong>ce<br />

mains, which is necessary <strong>for</strong> assessment and renewal design purposes. But these technologies cannot be<br />

used cost-effectively or without shutdown <strong>of</strong> the main, which is generally not possible or entails major<br />

cost. Data may be obtained either externally or internally. External data require excavation <strong>for</strong> inspection<br />

on the pipe surface. For reasons <strong>of</strong> cost and practicality, this can only be done at a small number <strong>of</strong><br />

discrete locations along a pipeline. As a result, the sample size is extremely small and the confidence<br />

level <strong>of</strong> the findings in terms <strong>of</strong> being representative <strong>of</strong> the pipeline as a whole is very low. Internal data<br />

require the main to be shut down and dewatered <strong>for</strong> inspection. This is extremely costly due to the<br />

service interruption, which may require by-pass pumping or honey wagons to be used to transport the<br />

wastewater in the absence <strong>of</strong> upstream storage capacity.<br />

As a result, little data are obtained on <strong>for</strong>ce main condition upon which assessment and subsequent<br />

rehabilitation decisions can be based. <strong>Rehabilitation</strong> decision-making can only be made on the basis <strong>of</strong><br />

operational indicators such as power consumption, air release valve operation, or main breaks. The<br />

alternative is to consider consequence <strong>of</strong> failure and to renew high risk lines irrespective <strong>of</strong> any<br />

knowledge <strong>of</strong> their condition. This is inefficient and results in higher cost than either preventative<br />

maintenance or rehabilitation intervention based on condition assessment within a risk-based framework.<br />

The WERF report titled Inspection Guidelines <strong>for</strong> <strong>Force</strong> <strong>Main</strong>s addresses this issue (WERF, 2009). It<br />

sets out guidelines <strong>for</strong> inspection based on material. It also covers prioritization <strong>of</strong> inspections and the<br />

key considerations in the development <strong>of</strong> an inspection plan.<br />

A key finding based on international experience reviewed is that utilities consider that there is benefit in<br />

being able to make a proactive decision on whether to renew based on risk. Part <strong>of</strong> this is to know where<br />

problems do not exist so expenditure can be deferred. The renewal decision is based on three elements:<br />

the rate <strong>of</strong> deterioration <strong>of</strong> assets; the condition <strong>of</strong> critical locations; and whether spending can be<br />

deferred. Risk analysis can also help indicate where the “wait and see” approach is most cost-effective.<br />

It is also important to take into account that inspection can create liabilities. Knowledge <strong>of</strong> a defect<br />

creates a need to do more than “wait and see.”<br />

A first step is to establish risk-based assessment methods to identify <strong>for</strong>ce mains with serious<br />

consequences <strong>of</strong> failure, either in operational or environmental and public impact terms, or both. This<br />

will drive the need to understand the likelihood <strong>of</strong> failure and will identify the characteristics <strong>of</strong> <strong>for</strong>ce<br />

mains <strong>for</strong> which this in<strong>for</strong>mation is needed. A second step is to consider prioritization <strong>for</strong> external data<br />

collection. A method <strong>for</strong> identifying high risk locations in terms <strong>of</strong> likelihood <strong>of</strong> failure based on<br />

environment and operating characteristics could pinpoint high risk locations, which would be selected <strong>for</strong><br />

direct inspection. This would increase the chance that the small sample obtained would identify more<br />

critical conditions than otherwise.<br />

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