U1-1: Decision support system for efficient water management at municipal water company

Description

The DSS at the urban level includes a module which provides forecasted water demands as a driver for pressure optimisation (based on hydraulic modelling). Outcomes of this module are 1) optimised pressure for the pressure reduction valves and 2) water pressure over the entire distribution system. The latter, in a combination with a power low function, was used to interpret the relation between water leaks and pressure in the project validation phase.

A leakage in the water distribution system will be calculated for two cases: for the case when the pressure optimisation was not applied (the initial status) and for the case of use of the pressure optimisation feature of the DSS at urban level for both demonstration sites.

The difference in leakage resulting from water pressure distribution before and after the application of the DSS will be used as the main indicator of reduction of leakages.

Calculation method

Leakage was estimated for pressure before and after pressure control management. The leakage prior to pressure optimisation is based on the difference between observed water consumption and the amount of water pumped to the water distribution system. For the spatial disaggregation of leakage over the water distribution system, the pressure-driven leakage modelling approach was used. The reduced leakage is based on the same pressure-driven leakage modelling but with the application of pressure optimisation algorithm. Results of calculations include:

  • total leakage in the WDS prior to pressure optimisation
  • total leakage after the application of optimised pressure suggested by the DSS at the urban level
  • leakage in individual sections of the WDS before pressure optimisation
  • leakage in individual sections of the WDS after the application of pressure optimisation
  • reduction of the total leakage
  • reduction of leakage in individual sections of the WDS
  • The estimation has been updated every 3 months, giving a total of four validation trials.

Target value

Up to 5% decrease

0 Achieved result

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