Issue |
E3S Web Conf.
Volume 102, 2019
Mathematical Models and Methods of the Analysis and Optimal Synthesis of the Developing Pipeline and Hydraulic Systems 2019
|
|
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Article Number | 03005 | |
Number of page(s) | 6 | |
Section | Control of Functioning of Pipeline Systems | |
DOI | https://doi.org/10.1051/e3sconf/201910203005 | |
Published online | 14 June 2019 |
Optimal reconstruction of water supply network under conditions of reduced water consumption
1
Irkutsk National Research Technical University, 83 Lermontov St., Irkutsk 664074, Russia
2
Vinh University, 182 Le Duan St., Vinh, Vietnam
* Corresponding author: minhrow@gmail.com
In recent years, due to the country's energy conservation policies in cities and towns, there has been a steady decline in the specific water consumption. Many industrial enterprises switched to water-saving technologies and circulating water supply systems. Such a policy favorably affects the environmental safety of territories by reducing wastewater discharges into water bodies and saves energy for pumping water and wastewater. At the same time, due to a decrease in the speed of water movement, its quality indicators deteriorate and stagnant zones appear, and due to the reduction of water consumption, pumping stations began to operate in low efficiency modes. The article proposes to solve this problem by decommissioning certain sections of the network and facilities, which improve the speed of other pipelines and provide pumping stations with the highest efficiency. For this purpose, a technique has been developed to optimize flows in existing water supply systems and its implementation in the Trace – BK software package. A new method of optimizing operating costs for water supply systems in the face of decreasing water consumption is proposed. This technique makes it possible to identify inefficient sections of network and take them out of operation while improving the operation speed of other pipeline and bring the operation of pumping stations to the mode with the highest efficiency.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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