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  • 标题:A study on the individual pump flow estimation processor for optimal operation
  • 本地全文:下载
  • 作者:Md Rakibuzzaman ; Sang-Ho Suh ; In-Sik Yoon
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:321
  • 页码:1-10
  • DOI:10.1051/e3sconf/202132102005
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
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