This document summarizes several work packages and deliverables related to pressure management. It discusses developing optimization algorithms to define optimal pressure zones and control schemes. It also covers integrating pump control with pressure control to minimize treatment and energy costs while maintaining good customer service and leakage. Case studies will apply these methods to real networks in Harrogate and Oldham.
22. NEPTUNE Workshop Esholt Hall, 9th July 2008 PID controller uses only pressure measurements Previous work
23. NEPTUNE Workshop Esholt Hall, 9th July 2008 Modified controller uses information about both the outlet pressure and the valve flow. Recent technical developments
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27. Test rig experiments on Aquai-Mod controller Piotr Skworcow, Hossam AbdelMeguid (DMU) David Hurley, Mark Lock (Aquavent)
35. Combined energy and pressure management Hossam AbdelMeguid, Peter Bounds, Piotr Skworcow , Bogumil Ulanicki
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37. Purpose Minimize cost of water treatment and pumps energy usage whilst supplying good service to customers without unnecessarily high pressure Integration and co-ordination of pump control in grid with pressure control of DMAs Pump scheduling Pressure control Combined energy and pressure management Calculate time schedules for treatment works, pumps, valves, reservoirs and PRV setpoints
38. Proposed Solution Formulate as optimisation problem; cost function: Total cost of water treatment and pumps energy use Inclusion of PRV model – setpoint as decision variable Network model with pressure dependent leakage: Excessive Pumping High energy cost High pressure Increased leakage More water from sources and to be pumped £ £ £