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It was further stated that:
"Capital expenditure to maintain the asset base would normally be allocated across performance (i.e. service risk) grades 3, 4 and 5." The descriptions of the service risk grades were expanded in more detail as an example in relation to the water distribution system. The implication of the above is that companies could justify capital maintenance without necessarily having observed a deterioration in service measures (serviceability indicators) which was a requirement in previous price reviews. Similarly the explicit recognition of Heath & Safety as a driver for capital maintenance is a new development bringing the water industry into line with other utilities such as gas where H&S issues are primary factors in justifying investment. There were a number of issues arising from the first AMP prepared using the Common Framework, including:
Case studiesTynemarch assisted seven water/water and sewerage companies in the estimation of their capital maintenance requirements covering both underground (infrastructure) assets and above ground (non-infrastructure) assets. For example all the non-infrastructure assets of United Utilities were 'modelled' using Tynemarch forward-looking risk-based analysis tools. The asset groups included in the assessment were:
In addition large diameter trunk mains/aqueducts were included in view of their role in the strategic water supply system. The analysis of the impact of failures of water treatment works, pumping stations and large mains on the security of supply was modelled3 systematically assessing the population likely to be affected by an interruption to supply of a given duration. A typical schematic is shown in Figure 1 as used for South East Water.
![]() Figure 1. MISER water supply optimisation model The overall process involves the determination of the economic capital maintenance required for each asset group, based on whole-life costing principles taking into account the cost of unplanned failures, repairs, refurbishment and replacement. The future service indicators such as pressure, interruptions to supply, water quality, etc, are then forecast for the next 15 to 20 years. Where the predicted service standards were unsatisfactory a formal optimisation method is then used to identify the most cost-effective additional investments required to avoid deterioration in future service. Primary data were used to estimate such relationships as failure rate changes with time as influenced by such factors as age, type of equipment and operating environment. Other data such as unit capacity, configuration, telemetry coverage, etc are required to undertake conventional reliability analysis. Hence the risk analysis for non-infrastructure assets delivers estimates of the probabilities of failure for each failure mode of each asset, together with failure durations and estimates of consequence magnitude measured against each level of service criterion. The results are assessed at a variety of functional and spatial levels in support of investment planning. At the works level for example, the customer service risks associated with individual unit processes can be compared for a range of planning horizons and investment scenarios. Equally, comparisons can be made across the set of treatment works to identify areas of unacceptably high risk. The results can be displayed in the form of a Pareto plot as in Figure 2.
![]() Figure 2. Water Quality risks organised by Treatment Works Analysis of infrastructure assets employs a similar approach but distribution mains are considered at the zonal level. The relationships between modes of failure resulting in reduced customer service and zonal or environmental characteristics are encapsulated within a formal structure. Each zone can then be analysed for risk under a variety of investment and asset deterioration scenarios. In addition to prioritising zones for further analysis and comparing zones for relative Corporate risk contribution, the analysis can be used to assess the risk-reduction impact of investment and to identify the sensitivity of risk to different capital maintenance options. Sensitivity analysis also assists in prioritising the collection of data to support the current and future analysis. A key component of the analysis of water distribution systems is the modelling of mains bursts which as well as being an Ofwat reportable performance measure also have an impact on other measures of service such as leakage, discolouration and interruptions to supply. Statistical models are used that take into account influential factors such as those in Table 1.
Table 1. Burst modelling data Reasonably good predictions of historical bursts confirmed the accepted general belief that hot summers and cold wet winters have a strong influence on the observed burst frequency, as illustrated in Figure 3, for a number of future scenarios.
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Future developmentThe capital maintenance planning assessment process used by Ofwat taking into account the Common Framework was reviewed by an independent assessor. Two reports have been produced which are available in the public domain4,5. Some of the conclusions and recommendations related to the CMPCF are as follows:
Future developments are likely to focus on the assessment of capital maintenance requirements within the broad guidelines of the CMPCF, but in more detail and as part of routine business rather than on the 5 year AMP cycle. Greater consideration of the integrated nature of water systems will be required together with better data and modelling capabilities in some areas.
SummaryThe Common Framework:
AcknowledgementsThe author wish to acknowledge all who have contributed to the development and practical realisation of the Common Framework, including the sub-contractors, Ofwat, Environment Agency, the Drinking Water Inspectorate, DEFRA and the water/water and sewerage companies, the Steering Group for their constructive guidance and support, and UKWIR for permission to write this paper. Note that this paper represents the views of the authors only. The Common Framework report is available from UKWIR at www.ukwir.org.
1 MD161, "Maintaining Serviceability to Customers", Ofwat, 12 April 2000. 2 Part B3 Information Requirements, Issue 1.2 06, Ofwat, May 2003. 3 Using MISER software 4 Capital Maintenance Review - Independent assessment of Ofwat's PR04 process -initial review May 2004, Ofwat, August 2004. 5 Capital Maintenance Review - Independent assessment of the Ofwat PR04 process to Draft Determination, Ofwat, September 2004
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