A Continuous Pump Location Optimization Method for Water Pipe Network Design

Pump location optimization is a key issue in the design of water pipe networks to reduce energy consumptions and associated costs. The pump location variables in previous papers were typically discrete, resulting in potentially sub-optimal solutions. If the discrete variables are densified, the solv...

Full description

Saved in:
Bibliographic Details
Published in:Water resources management 2021, Vol.35 (2), p.447-464
Main Authors: Wang, Bohong, Liang, Yongtu, Zhao, Wei, Shen, Yun, Yuan, Meng, Li, Zhimin, Guo, Jian
Format: Article
Language:English
Subjects:
Atmospheric Sciences
Civil Engineering
Design
Design optimization
Earth and Environmental Science
Earth Sciences
Energy conservation
Energy costs
Environment
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology/Water Resources
Network design
Objective function
Operating costs
Optimization
Pipes
Pumps
Water pipelines
Water pipes
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Pump location optimization is a key issue in the design of water pipe networks to reduce energy consumptions and associated costs. The pump location variables in previous papers were typically discrete, resulting in potentially sub-optimal solutions. If the discrete variables are densified, the solving time increases substantially. To overcome the shortcomings of the discrete pump location optimization method, a novel continuous location optimization method is proposed. The hydraulic calculations of pipes and operation of pumps are coupled in the model to make it practical. The objective function minimizes the installation and operating costs of pumps. A branch and a looped water pipe network are studied. The proposed continuous location optimization method is compared with the previous discrete method. The results show that the proposed method has advantages regarding cost-minimization and it reduces the time required to produce solutions. The method is generic and can be applied to other real cases to determine the optimal pump locations to achieve the goals of cost-minimization and energy saving.
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-020-02722-1