Inverse Optimization based Detection of Leaks from Simulated Pressure in Water Networks, Part 1: Analysis for a Single Leak

Peace K. Amoatey, University of Ghana, András Bárdossy, Heidrun Steinmetz, Universität Stuttgart (ISWA), University of Kaiserslautern
<span title="">2018</span> <i title="Computational Hydraulics International"> <a target="_blank" rel="noopener" href="" style="color: black;">Journal of Water Management Modeling</a> </i> &nbsp;
The ability to easily detect leaks in water networks enables prompt repairs thereby reducing the duration of a leak. This study uses a minimization approach related to the Monte Carlo method to detect leakage in water networks that do not have continuous real time pressure-measuring systems, using a hydraulic model of the network. The model works very well in detecting leaks occurring in a gridded network while it performs below average for leaks occurring in branched areas. Reference pressures
more &raquo; ... are obtained by introducing a leak of known magnitude into the network model by changing the emitter coefficient of a reference node. Reference pressures are compared with several simulated pressures from randomly simulated leaks. The leaking node is found as the most frequent node-emitter-coefficient combination for which the objective function is minimised. A minimum of eight reference points is required for a leak to be detected in any part of the network.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.14796/jwmm.c460</a> <a target="_blank" rel="external noopener" href="">fatcat:hh3ohqwmova4xhaagq7vtbmt5e</a> </span>
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