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  • 标题:On-Line Optimization Method for Energy Efficient Pump-Storage Operation with Integrated Filling Time Constraint
  • 本地全文:下载
  • 作者:Thomas Hieninger ; Florian Goppelt ; Ronald Schmidt-Vollus
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2019
  • 卷号:9
  • 期号:5
  • 页码:1-10
  • DOI:10.5121/csit.2019.90506
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:This contribution presents a Nelder-Mead based on-line optimization algorithm for centrifugal pumps to decrease the energy demand for filling tasks during operation. This method works with power and filling level data, which adapts the rotational speed to the current filling level. During optimization, rotational speed constraints have to be regarded to fulfill a steadily filling within a maximum permitted time. To develop and to test the algorithm, a model of a pump system is used, which is implemented in Matlab/Simulink. The tuning method achieves energy savings at the permitted filling time.
  • 关键词:Online;Optimization; Centrifugal Pump; Energy Efficiency; Fluid Storage
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