TY - JOUR
T1 - Optimal design of a new water distribution network using a water supply risk assessment
AU - Choi, Taeho
AU - Bae, Cheolho
AU - Shin, Hwisu
AU - Koo, Jayong
N1 - Publisher Copyright:
© 2017 Desalination Publications. All rights reserved.
PY - 2017/2
Y1 - 2017/2
N2 - This study considered water supply risk (WSR) as well as the cost of a water distribution network (WDN) design, and developed an optimized model of pipe diameters and gate valves within the WDN. Thus, a multipurpose algorithm was used to implement an optimal WDN design that minimizes both WDN establishment costs and the Block WSR. The algorithm adopted was non-dominated sorting genetic algorithm II, which has most frequently been used. The optimal model was applied to Block A2, and the results showed that the Block WSR of each pipe after ProbPB was changed to 0.2 (case/km/year) from that of the existing design method. As a result, the Block WSR of the existing network design was 0.306 m3/year, but that of the optimal network design was reduced by 10.1% to 0.275 m3/year. The construction cost of the existing network design was 139,600,000 won, but that of the optimal network design was reduced by 59.7% to 56,300,000 won. While the construction cost of the network with the optimal design is much lower than that of the network with the existing design, the optimal design method can also reduce the Block WSR; thus, the optimal design model was proven effective. In addition, apart from construction costs, the Block WSR reduction effect due to the optimal design showed that the daily water cut-off of 8.8 persons/year can be prevented by the conversion of 296 L/Lpcd.
AB - This study considered water supply risk (WSR) as well as the cost of a water distribution network (WDN) design, and developed an optimized model of pipe diameters and gate valves within the WDN. Thus, a multipurpose algorithm was used to implement an optimal WDN design that minimizes both WDN establishment costs and the Block WSR. The algorithm adopted was non-dominated sorting genetic algorithm II, which has most frequently been used. The optimal model was applied to Block A2, and the results showed that the Block WSR of each pipe after ProbPB was changed to 0.2 (case/km/year) from that of the existing design method. As a result, the Block WSR of the existing network design was 0.306 m3/year, but that of the optimal network design was reduced by 10.1% to 0.275 m3/year. The construction cost of the existing network design was 139,600,000 won, but that of the optimal network design was reduced by 59.7% to 56,300,000 won. While the construction cost of the network with the optimal design is much lower than that of the network with the existing design, the optimal design method can also reduce the Block WSR; thus, the optimal design model was proven effective. In addition, apart from construction costs, the Block WSR reduction effect due to the optimal design showed that the daily water cut-off of 8.8 persons/year can be prevented by the conversion of 296 L/Lpcd.
KW - Interpretive structural modeling
KW - NSGA II
KW - Optimal design
KW - Water distribution network
KW - Water supply risk
UR - http://www.scopus.com/inward/record.url?scp=85020229045&partnerID=8YFLogxK
U2 - 10.5004/dwt.2017.20260
DO - 10.5004/dwt.2017.20260
M3 - Article
AN - SCOPUS:85020229045
SN - 1944-3994
VL - 65
SP - 153
EP - 162
JO - Desalination and Water Treatment
JF - Desalination and Water Treatment
ER -