A burst-driven renewal programme can achieve a reduction in burst frequencies leading to a reduction in the natural rate of rise (NRR) of leakage. This results in a reduction in the optimal survey frequencies, in turn reducing the costs of active leakage control (ALC) to maintain leakage at the current level. Understanding the full impacts on a range of key performance indicators (KPIs) for a DMA improves will help the industry to take a full totex view of benefits of future investment and allow existing asset management models to be calibrated appropriately.
This study assessed the historic impact of burst-driven mains renewal (mains only) on the operational costs of leakage management on DMA network performance. A representative industry dataset of 487 burst-driven mains renewal schemes from four Water Service Providers (WSPs) was included. Data was normalised to mitigate variation linked to operational, geographic, and climate differences between WSPs. The normalised dataset was used to build non-linear models to predict the performance of KPIs at the level of DMA based on DMA characteristics and current performance.
KPI performance was successfully modelled for each of NRR, total DMA mains repair numbers, mains repairs numbers of renewed sections, leakage, minimum achieved leakage, and supply interruptions.
This report details the new model development and approaches to quantify and optimise the targeting of burst-driven mains renewal programmes by application of individual company data sets. The findings have been incorporated into an Excel tool for ease of application to individual company data sets to support investment planning and optimisation.
ISBN: 1 84057 863 7