Appraising the Impact of Pressure Control on Leakage Flow in Water Distribution Networks

Water losses in Distribution Networks (WDNs) are inevitable. This is due to joints interconnections, ageing infrastructure and excessive pressure at lower demand. Pressure control has been showing promising results as a means of minimising water loss. Furthermore, it shown that information critical nodes often adequate ensure effective the system. In this work, greedy algorithm for identification presented. An emulator WDN solution put forward used simulate dynamics WDN. A model-free scheme based on reinforcement learning interact with proposed determine optimal reducing valve settings from node. Results show flows through pipes nodal heads can be reduced using scheme. The reduction leads leakage Moreover, work relies current operation system, unlike traditional machine methods require prior knowledge about