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            Sustain.RD, Setúbal School of Technology, Polytechnic Institute of Setúbal, Setúbal, Portugal            
            CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal            
            Cited By :6            
            Export Date: 28 February 2024            
            CODEN: CCEND            
            Correspondence Address: Ferreira, B.; INCITE, Portugal; email: bruno.s.ferreira@estbarreiro.ips.pt</comment>
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      <abstractText>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.</abstractText>
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			Number of cited publications: 2
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    &lt;div class=&quot;mtid&quot;&gt;&lt;span class=&quot;long-pub-mtid&quot;&gt;Publication: 33381165&lt;/span&gt;
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&lt;div class=&quot;lastModified&quot;&gt;Last Modified: 2022.12.20. 23:13 Admin Szuper (admin)
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	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Comments&lt;/u&gt;: INCITE, Barreiro School of Technology, Polytechnic Institute of Setúbal, Setúbal, Portugal            
            Sustain.RD, Setúbal School of Technology, Polytechnic Institute of Setúbal, Setúbal, Portugal            
            CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal            
            Cited By :6            
            Export Date: 28 February 202...&lt;/pre&gt;

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