2007
DOI: 10.3182/20070723-3-pl-2917.00011
|View full text |Cite
|
Sign up to set email alerts
|

Optimized Allocation of Chlorination Stations for Integrated Quantity and Quality Control in Drinking Water Distribution Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
3
0

Year Published

2012
2012
2024
2024

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 17 publications
0
3
0
Order By: Relevance
“…The several works on joint control -booster station allocation can be found e.g. [10][11][12][13]30]. The approach presented in this works follow the scheme of integrated allocation and control design which has for years been recognised by control engineers to significantly reduce conservatism of the final system to be deployed.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…The several works on joint control -booster station allocation can be found e.g. [10][11][12][13]30]. The approach presented in this works follow the scheme of integrated allocation and control design which has for years been recognised by control engineers to significantly reduce conservatism of the final system to be deployed.…”
Section: Introductionmentioning
confidence: 99%
“…The approach presented in this works follow the scheme of integrated allocation and control design which has for years been recognised by control engineers to significantly reduce conservatism of the final system to be deployed. In [11][12][13]30] this problem has been formulated as a multiobjective optimisation problem and solution in the sense of Pareto front approximation has been found. Due to highly nonlinear dynamics of Drinking Water Distribution System (DWDS) and usage of external simulation environment, a Genetic Algorithm (GA) has been utilised to obtain the result.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The consequence of better representing the IMM on CJs in the water distribution network is that the lack of accuracy in the simulation of water quality can lead to errors in two kinds of applications: (1) The detection of low concentrations of chlorine, which may affect the proposal of Booster Chlorine Stations needed to maintain the minimum required concentration [5,[19][20][21][22][23][24] and (2) the design of monitoring systems, such as the optimal placement of sensors to detect contaminant events . The accuracy of these models is also necessary to simulate the spatio-temporal dispersion of the chemical and microbial agents during accidental or intentional pollutant events.…”
Section: Introductionmentioning
confidence: 99%