| Issue |
E3S Web Conf.
Volume 321, 2021
XIII International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT 2021)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 10 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202132102005 | |
| Published online | 11 November 2021 | |
A study on the individual pump flow estimation processor for optimal operation
1
Department of Mechanical Engineering, IUBAT–International University of Business Agriculture and Technology, Dhaka, 1230, Bangladesh
2
Future Technology Institute, Anyang-si, Gyeonggi-Do, 14051, Korea
3
School of Mechanical Engineering, Soongsil University, Seoul, 06978, Korea
4
Dooch Co. Ltd., R & D Center, 162 LS-ro, Gunpo-si, Gyeonggi-Do, 15807, Korea
* Corresponding author: suhsh@ssu.ac.kr
The booster pump is an energy-saving system that controls the number of turns of the pump and optimal operation by installing an inverter to control the discharge pressure of the pump in accordance with the flow rate. The development of an optimum operation algorithm and flow rate information for the individual pumps without flow sensors is critical of a smart booster pump system. The objectives of this study was to investigate the algorithm based flow detection method without use of a flow sensor for each pump. Therefore, it was developed an algorithm-based flow rate detection method of individual pumps without the use of a flow sensor that has not been studied in the conventional booster pump system. The software-based processor development and experimental verification for detecting the flow rate of individual pumps were confirmed. The ensemble error was within 2%. For optimal operation, the result of examining the accumulated flow rate for the sequential operation method and the optimum operation method. The flow measurement accuracy of the system was confirmed by experiment and the development of a booster pump system without a flow sensor was found effective.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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