Optimization of water distribution network by genetic algorithm with EPANET-Python Toolkit

Water distribution systems (WDS) are essential for supplying water to urban and rural areas in an effective and consistent manner. This WDS operation may have a substantial effect on the environment and the sustainable development of cities in the future because of the substantial quantity of energy...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Earth System Science Vol. 134; no. 4; p. 205
Main Authors: Pavansimha, M N, Yusuf Javeed
Format: Journal Article
Language:English
Published: Bangalore Springer Nature B.V 01.12.2025
Subjects:
Algorithms
Capital costs
Design optimization
Drinking water
Environmental effects
Genetic algorithms
High density polyethylenes
Hydraulics
Linear programming
Optimization
Optimization techniques
Pipes
Python
Quality of life
Rural areas
Sanitation
Software
Solution space
Sustainable development
Toolkits
Variables
Water distribution
Water distribution systems
Water engineering
Water supply
United States > US
ISSN:0973-774X, 0253-4126, 0973-774X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Water distribution systems (WDS) are essential for supplying water to urban and rural areas in an effective and consistent manner. This WDS operation may have a substantial effect on the environment and the sustainable development of cities in the future because of the substantial quantity of energy that WDSs consume over the course of their lives. To improve the quality of life and to maintain the sustainability of nature, optimization of the water distribution network (WDN) is essential and also crucial to guarantee the accessibility of safe drinking water to homes, businesses, industries, and public facilities. To provide optimal or nearly optimal solutions for large-scale and complicated WDS networks, the genetic algorithm (GA) is used to efficiently search across the enormous solution space. The optimization of pipe diameter is obtained with respect to total network cost by combining GA with the EPANET-Python Toolkit for the Benchmark Network (Hanoi Network) which is for validation purpose and later Real-world Network (Koodlahalli Network) which is made of High-Density Polyethylene (HDPE) pipe and cost of pipes in the network is reduced from Rs. 775989.42 to Rs. 690540.27, around (11%) has been reduced with minimum pressure of 7 m.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0973-774X
0253-4126
0973-774X
DOI:10.1007/s12040-025-02651-w