Network Performance and Analysis
Understanding how networks are performing and delivering accurate reporting
Understanding how networks are performing and maintaining accurate reporting is integral to the effective functioning of a water company.
We have a detailed understanding of the new consistency reporting requirements for AMP7 and can advise companies on how they can best balance their reporting to ensure clarity for regulators and driving internal performance improvements.
Developing and implementing an effective strategy for leakage targeting requires a combination of measures which reduce bursts and provide early awareness when new bursts occur. Using our experience in this area, we can provide guidance on the best approach to combine modern and traditional methods to provide the most efficient and effective solutions.
We work closely with our clients to understand the challenges they face, enabling us to select relevant and insightful analysis techniques. This ensures our projects deliver practical solutions and measurable benefits.
Dynamic Pressure Modelling
Combining reactive and proactive approaches to reduce reported leakage
Using a permanent network of pressure and flow logging across each DMA (around 12 loggers per DMA), we have developed our two pronged approach to leakage reduction; reacting to network events with speed and accuracy, and proactively identifying and resolving network anomalies.
Our proactive tool analyses historical head losses in the network, comparing expected performance against actual logged data. We work closely with local leakage teams to investigate anomalies and understand whether they are caused by excess leakage, unknown customer demand or network configuration.
Our reactive tool receives live data direct from our logger partners and analyses pressure and flow changes within the distribution network to allow leakage teams to accurately respond to network events as they occur. Combining the flow and pressure data in this manner gives a high confidence in the analysis outputs. This method is proven to deliver significant benefits in the identification and localisation of eruptive bursts within DMAs as well as understanding demand increases.
Seasonal Variation in Demand
Understanding and predicting customer consumption
Water companies are facing increasing difficulty in meeting supply and demand challenges as the UK’s climate becomes increasingly varied. Ofwat are driving tougher leakage reduction targets as well as requiring consistent leakage reporting across the sector. This has generated a requirement for water companies to be able to understand customer demand at an unprecedented level of detail.
Our component demand analysis models allow flexibility to tailor night use to individual DMAs based on their characteristics and historical performance, in a manner that gives confidence to both leakage targeting and regulatory reporting. By using machine learning to constantly review and evolve our models, improving their accuracy.
Being able to predict demand patterns for the forthcoming week allows leakage targeting teams to make quick and effective decisions to prioritise resources, separating genuine leaks from demand variation.
Our engineering experience allows us to fully understand your data and ensure that the conclusions we draw stand up to scrutiny.
Delivering engineering solutions to improve your water network
We are proficient in reviewing the configuration of strategic distribution networks and our experience can be applied to a number of situations. Previous projects have included, identifying opportunities for capital programs and the development of intelligent strategic solutions, including; network capacity, mains sizing, intelligent control using EOVs and pumping, and creating calmer networks to reduce risk.
We have extensive experience in the design and optimisation of pressure management schemes and work closely with established UK partners to deliver the latest in control and monitoring technology. We also work closely with our fieldwork partners to validate the design and implementation of schemes.