Articles | Volume 11, issue 1
https://doi.org/10.5194/dwes-11-67-2018
https://doi.org/10.5194/dwes-11-67-2018
Research article
 | 
15 May 2018
Research article |  | 15 May 2018

Algorithms for optimization of branching gravity-driven water networks

Ian Dardani and Gerard F. Jones

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Short summary
This work is an outgrowth of engineering service learning at Villanova University in Pennsylvania, USA. Teams of students assess and collect data on site, and design and communicate information for clean water networks that benefit developing areas around the world. The design of a water network requires the selection of pipe diameters that satisfy pressure and flow requirements while minimizing cost. This work contrasts and compares results of several models and makes key recommendations.