TY - JOUR
T1 - Robust optimization of valve management to improve water quality in WDNs under demand uncertainty
AU - Marquez Calvo, Oscar
AU - Quintiliani, Claudia
AU - Alfonso, Leonardo
AU - Cristo, Cristiana Di
AU - Leopardi, Angelo
AU - Solomatine, Dmitri
AU - de Marinis, Giovanni
PY - 2018
Y1 - 2018
N2 - Water quality deterioration in water distribution networks can be associated with high water residence time in the network. To this end, some previous studies have proposed optimization procedures for valve management. However, these studies generally come up with operational configurations assuming deterministic user demand patterns that may never occur in reality. In consequence, the proposed solutions may not be effective for improving water quality or do not comply with pressure constraints if different demand patterns are observed. This study proposes a methodology to determine robust configurations of the valves to keep water residence time at acceptable levels regardless of the variability in demand patterns. The methodology is tested on four different distribution systems of varying topology and size. Results show the importance of executing robust – instead of deterministic, optimization to find valve configurations that guarantee the performance of the networks in terms of hydraulics and water quality.
AB - Water quality deterioration in water distribution networks can be associated with high water residence time in the network. To this end, some previous studies have proposed optimization procedures for valve management. However, these studies generally come up with operational configurations assuming deterministic user demand patterns that may never occur in reality. In consequence, the proposed solutions may not be effective for improving water quality or do not comply with pressure constraints if different demand patterns are observed. This study proposes a methodology to determine robust configurations of the valves to keep water residence time at acceptable levels regardless of the variability in demand patterns. The methodology is tested on four different distribution systems of varying topology and size. Results show the importance of executing robust – instead of deterministic, optimization to find valve configurations that guarantee the performance of the networks in terms of hydraulics and water quality.
KW - Robust multi-objective optimization
KW - Water age
KW - Demand uncertainty
U2 - 10.1080/1573062X.2019.1595673
DO - 10.1080/1573062X.2019.1595673
M3 - Article
SN - 1573-062X
VL - 15
SP - 943
EP - 952
JO - Urban Water Journal
JF - Urban Water Journal
IS - 10
ER -