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Multi-objective optimization of pressure sensor location for burst detection and network calibration
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Advisor(s)
Abstract(s)
This paper proposes a methodology to determine the optimal location of pressure sensors for the simul-
taneous 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 loca-
tion 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.
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Citation
Bruno Ferreira, André Antunes,Ferreira, B., Antunes, A., Carriço, N., & Covas, D. (2022).Multi-objective optimization of pressure sensor location for burst detection and network calibration. Computers & Chemical Engineering, 162, 107826,
