Issue |
E3S Web Conf.
Volume 85, 2019
EENVIRO 2018 – Sustainable Solutions for Energy and Environment
|
|
---|---|---|
Article Number | 06001 | |
Number of page(s) | 8 | |
Section | Hydro Power | |
DOI | https://doi.org/10.1051/e3sconf/20198506001 | |
Published online | 22 February 2019 |
Experimental test rig designed to analyse pumping station operation controlled by pressure at different key points
1
University POLITEHNICA of Bucharest, Power Engineering Faculty, 313 Spl. Independentei, 060042, Bucharest, Romania
2
Technical University of Civil Engineering Bucharest, Hydraulics and Environmental Protection Department, 124 Lacul Tei, 020396, Bucharest, Romania
* Corresponding author: carmen.georgescu@upb.ro
The operation of pumps within a pumping station can be controlled by the Pressure Set Point (PSP) value compared to the reading of a pressure sensor placed either at the exit of the pumping station, on the main discharge pipe (classical PSP method), or at a critical/monitoring point within the water distribution network (termed further as remote-control PSP method). We designed and built an experimental test rig, allowing to study both control methods, in the attempt to check the advantage of the remote-control PSP method, with respect to the classical PSP method, since governing equations show that they are equivalent. The design relies on the theoretical approach and numerical results presented within this paper.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.