This article extends previous work on optimal booster chlorination injection design and operation in water distribution systems by solving the scheduling problem of pumping units in conjunction with the design and operation problem of booster chlorination stations. Two models are formulated and solved using a genetic algorithm scheme tailor-made to EPANET: Min Cost - for minimizing the costs of pumping and the chlorine booster design and operation, and Max Protection - for maximizing the system protection by maximizing the injected chlorine dose. An example application is explored through a base run and sensitivity analysis showing that the algorithm proposed is robust and reliable, and that the pump and chlorine injection scheduling are mutually connected.
Bibliographical noteFunding Information:
This research was supported by the Technion Grand Water Research Institute (GWRI) and by the Winnipeg Research Fund for the Promotion of Research at the Technion.
- Genetic algorithm
- Operation: Booster chlorination
- Water distribution systems
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics