Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Application of hydraulic model in optimal operation of water supply pumping station

Authors
Hao Fu, Jianjun Wang, Weining Yuan, Chunsheng Zhang, Hang Li, Yang Feng, Ming Zhao, Tong Wang, PanPan Huang
Corresponding Author
Hao Fu
Available Online April 2016.
DOI
10.2991/ameii-16.2016.253How to use a DOI?
Keywords
Hydraulic Model, Optimal Operation of Pumping Station, Genetic Glgorithm, Hydraulic Simulation Software
Abstract

Through the J City water supply network hydraulic model, QF pumping station optimization scheduling scheme is designed by genetic algorithm. And analyzing the working days and weekends in different working conditions. After the implementation of the optimal scheduling scheme, the power consumption of the pump station is reduced by 5.21%. The hydraulic model can be used to provide a high efficiency energy saving scheme for the optimal operation of pumping stations.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.253
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.253How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hao Fu
AU  - Jianjun Wang
AU  - Weining Yuan
AU  - Chunsheng Zhang
AU  - Hang Li
AU  - Yang Feng
AU  - Ming Zhao
AU  - Tong Wang
AU  - PanPan Huang
PY  - 2016/04
DA  - 2016/04
TI  - Application of hydraulic model in optimal operation of water supply pumping station
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.253
DO  - 10.2991/ameii-16.2016.253
ID  - Fu2016/04
ER  -