Detection of Pipes Causing Pressure Loss in Water Distribution Networks via Artificial Immune Systems

Abstract

This paper proposes the optimization model using Artificial Immune Systems, depending on a model calibration, in order to determine worn out pipes with low Hazen-Williams roughness coefficient causing pressure loss in the water distribution networks. The modified Clonal Selection Algorithm, a type of Artificial Immune Systems, was used as a heuristic optimization method. In order to evaluate its performance, the model was implemented to the four-loop hypothetical water distribution network under steady-state conditions. According to the results, the model appeared to be promising in the detection of old pipes causing high pressure losses in the water distribution networks

Keywords

• basınç kaybı
• su dağıtım şebekeleri
• optimizasyon
• model kalibrasyonu
• yapay bağışıklık sistemleri
• pressure loss
• water distribution networks
• optimization
• model calibration
• artificial immune systems