Optimization techniques for leakage management in urban water distribution networks | Zendy

Aditya Gupta | Zendy; Neeraj Dhanraj Bokde | Zendy; Dushyat Marathe | Zendy; Kishore Kulat | Zendy

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Optimization techniques for leakage management in urban water distribution networks

Author(s) -

Aditya Gupta,

Neeraj Dhanraj Bokde,

Dushyat Marathe,

Kishore Kulat

Publication year - 2017

Publication title -

water science and technology water supply

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 39

eISSN - 1607-0798

pISSN - 1606-9749

DOI - 10.2166/ws.2017.064

Subject(s) - leakage (economics) , minification , reduction (mathematics) , storage tank , benchmark (surveying) , reliability engineering , computer science , genetic algorithm , pressure control , water leakage , mathematical optimization , control theory (sociology) , engineering , control (management) , mathematics , waste management , materials science , artificial intelligence , mechanical engineering , geometry , geodesy , economics , composite material , macroeconomics , geography

Reduction of leakages in water distribution systems (WDSs) is one of the major concerns for water industries. This paper presents a leakage reduction technique using pressure management by optimizing the water level in storage tanks, along with optimized control and localization of pressure-reducing valves (PRVs) in WDSs. A new mathematical tank and pump simulation algorithm is presented for controlling pressure in WDSs, by optimizing the water storage level in the tank depending upon the demand variations. The tank is used as a decision variable for the leakage reduction model. A modified reference pressure algorithm is introduced for improving PRV localization. A multiobjective genetic algorithm (NSGA-II) is used to find the optimized operational control setting of the PRV for leakage minimization. The proposed algorithm leads to a leakage reduction of 26.51% in Anytown WDS and 20.81% in a modified benchmark WDS. This technique leads to an appreciable reduction in leakage rate, with fewer PRVs required, taking into account constraints such as maintaining a lower hydraulic failure index (

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