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Determination of Economic Leakage Level with Optimization Algorithm in Water Distribution Systems

Author

Listed:
  • Mahmut Firat

    (Department of Civil Engineering, Faculty of Engineering, Main Campus, İnönü Unıversıty, 44280 Battalgazi, Malatya, Turkey)

  • Salih Yilmaz

    (Department of Civil Engineering, Faculty of Engineering, Main Campus, İnönü Unıversıty, 44280 Battalgazi, Malatya, Turkey)

  • Abdullah Ateş

    (Department of Civil Engineering, Faculty of Engineering, Main Campus, İnönü Unıversıty, 44280 Battalgazi, Malatya, Turkey)

  • Özgür Özdemir

    (Department of Civil Engineering, Faculty of Engineering, Main Campus, İnönü Unıversıty, 44280 Battalgazi, Malatya, Turkey)

Abstract

It is necessary to set the most appropriate targets in water loss management (WLM) and to choose the most economically and technically suitable method to achieve these targets. The aim of this work is to define the level of economic leakage with the optimization algorithm in sustainable WLM, considering the system components, requirements and costs of the methods. For this purpose, a new model based on discrete stochastic optimization has been developed to determine the most appropriate values of the pressure level and the number of teams. After the system components were entered into the model, the optimal values of parameters were determined according to the problem-specific defined objective function. It was calculated that the pressure should be reduced from 40m to 25.30m, and the number of teams was 4 for the sample system. The Economic Leakage Level for the system was calculated as 145.85m3/day in volume and 11.9% in percentage.

Suggested Citation

  • Mahmut Firat & Salih Yilmaz & Abdullah Ateş & Özgür Özdemir, 2021. "Determination of Economic Leakage Level with Optimization Algorithm in Water Distribution Systems," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-38, July.
    • Handle: RePEc:wsi:wepxxx:v:07:y:2021:i:03:n:s2382624x21500144
    DOI: 10.1142/S2382624X21500144
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