TY - JOUR
T1 - Optimal joint deployment of flow and pressure sensors for leak identification in water distribution networks
AU - Raei, Ehsan
AU - Nikoo, Mohammad Reza
AU - Pourshahabi, Shokoufeh
AU - Sadegh, Mojtaba
N1 - Publisher Copyright:
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/10/21
Y1 - 2018/10/21
N2 - A multi-objective optimization methodology is proposed herein for accurate identification of leakage in water distribution networks (WDNs) using pressure and flow sensors. We first model leakage at potential nodes using the EPANET software, and then divide WDN into near-homogenous zones using k-means clustering algorithm based on geographic distribution of nodes. Finally, flow and pressure sensors locations are optimized using the NSGA-II algorithm to identify the leakage zone accurately. Novelty of the proposed approach lies in sequential optimization of flow and pressure sensors placement, which helps improve the accuracy of leakage zone identification in WDNs. The objective functions of this study are: 1) maximizing accuracy of identified leakage zone and 2) minimizing number of sensors (and hence operational costs). Simulation results of the Mesopolis WDN corroborate the efficiency and effectiveness of the proposed approach.
AB - A multi-objective optimization methodology is proposed herein for accurate identification of leakage in water distribution networks (WDNs) using pressure and flow sensors. We first model leakage at potential nodes using the EPANET software, and then divide WDN into near-homogenous zones using k-means clustering algorithm based on geographic distribution of nodes. Finally, flow and pressure sensors locations are optimized using the NSGA-II algorithm to identify the leakage zone accurately. Novelty of the proposed approach lies in sequential optimization of flow and pressure sensors placement, which helps improve the accuracy of leakage zone identification in WDNs. The objective functions of this study are: 1) maximizing accuracy of identified leakage zone and 2) minimizing number of sensors (and hence operational costs). Simulation results of the Mesopolis WDN corroborate the efficiency and effectiveness of the proposed approach.
KW - flow and pressure sensors
KW - k-means clustering
KW - leak identification
KW - multi-objective optimization
KW - Water distribution network (WDN)
UR - http://www.scopus.com/inward/record.url?scp=85060009500&partnerID=8YFLogxK
U2 - 10.1080/1573062X.2018.1561915
DO - 10.1080/1573062X.2018.1561915
M3 - Article
AN - SCOPUS:85060009500
SN - 1573-062X
VL - 15
SP - 837
EP - 846
JO - Urban Water Journal
JF - Urban Water Journal
IS - 9
ER -