Journal of Applied Mathematics

  • J. Appl. Math.
  • Volume 2012, Special Issue (2012), Article ID 370502, 19 pages.

Modeling Optimal Scheduling for Pumping System to Minimize Operation Cost and Enhance Operation Reliability

Yin Luo, Shouqi Yuan, Yue Tang, Jianping Yuan, and Jinfeng Zhang

Full-text: Open access

Abstract

Traditional pump scheduling models neglect the operation reliability which directly relates with the unscheduled maintenance cost and the wear cost during the operation. Just for this, based on the assumption that the vibration directly relates with the operation reliability and the degree of wear, it could express the operation reliability as the normalization of the vibration level. The characteristic of the vibration with the operation point was studied, it could be concluded that idealized flow versus vibration plot should be a distinct bathtub shape. There is a narrow sweet spot (80 to 100 percent BEP) to obtain low vibration levels in this shape, and the vibration also follows similar law with the square of the rotation speed without resonance phenomena. Then, the operation reliability could be modeled as the function of the capacity and rotation speed of the pump and add this function to the traditional model to form the new. And contrast with the tradition method, the result shown that the new model could fix the result produced by the traditional, make the pump operate in low vibration, then the operation reliability could increase and the maintenance cost could decrease.

Article information

Source
J. Appl. Math., Volume 2012, Special Issue (2012), Article ID 370502, 19 pages.

Dates
First available in Project Euclid: 3 January 2013

Permanent link to this document
https://projecteuclid.org/euclid.jam/1357180118

Digital Object Identifier
doi:10.1155/2012/370502

Zentralblatt MATH identifier
1244.90145

Citation

Luo, Yin; Yuan, Shouqi; Tang, Yue; Yuan, Jianping; Zhang, Jinfeng. Modeling Optimal Scheduling for Pumping System to Minimize Operation Cost and Enhance Operation Reliability. J. Appl. Math. 2012, Special Issue (2012), Article ID 370502, 19 pages. doi:10.1155/2012/370502. https://projecteuclid.org/euclid.jam/1357180118


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