This paper proposes a methodology to determine the optimal location of pressure sensors
for the simultaneous calibration of the hydraulic network model and the detection
of pipe bursts. The methodology considers a search space reduction process and aims
at maximizing nodal pressure sensitivities to both pipe roughness coefficients and
pipe burst sizes. A multi-objective optimization problem is formulated for a given
number of sensors and multiple optimal configurations of pressure sensors are obtained.
Three different optimal configurations are selected and compared: one solution that
individually maximizes each objective function (two solutions) and one trade-off solution.
The methodology is applied to a real water distribution network with hourly consumption
data. Results demonstrate that (i) the optimal location of pressure sensors hardly
changes with the perturbation values used to numerically compute the sensitivities
and (ii) minor differences can be found in the performance of pipe roughness calibration
and pipe burst location by using either a solution that individually maximizes each
objective function or the trade-off solution considering the high number of pressure
sensors (26) and the oversized pipe diameters to comply with firefighting conditions,
being pressure less sensitive to friction and flow rate changes.(c) 2022 Elsevier
Ltd. All rights reserved.
