LAPSE:2023.17106
Published Article

LAPSE:2023.17106
A New Prediction Method for the Complete Characteristic Curves of Centrifugal Pumps
March 6, 2023
Abstract
Complete pump characteristics (CPCs) are the key for establishing pump boundary conditions and simulating hydraulic transients. However, they are not normally available from manufacturers, making pump station design difficult to carry out. To solve this issue, a novel method considering the inherent operating characteristics of the centrifugal pump is therefore proposed to predict the CPCs. First, depending on the Euler equations and the velocity triangles at the pump impeller, a mathematical model describing the complete characteristics of a centrifugal pump is deduced. Then, based on multiple measured CPCs, the nonlinear functional relationship between the characteristic parameters of the characteristic operating points (COPs) and the specific speed is established. Finally, by combining the mathematical model with the nonlinear relationship, the CPCs for a given specific speed are successfully predicted. A case study shows that the predicted CPCs are basically consistent with the measured data, showing a high prediction accuracy. For a pump-failure water hammer, the simulated results using the predicted CPCs are close to that using the measured data with a small deviation. This method is easy to program and the prediction accuracy meets the requirements for hydraulic transient simulations, providing important data support for engineering design.
Complete pump characteristics (CPCs) are the key for establishing pump boundary conditions and simulating hydraulic transients. However, they are not normally available from manufacturers, making pump station design difficult to carry out. To solve this issue, a novel method considering the inherent operating characteristics of the centrifugal pump is therefore proposed to predict the CPCs. First, depending on the Euler equations and the velocity triangles at the pump impeller, a mathematical model describing the complete characteristics of a centrifugal pump is deduced. Then, based on multiple measured CPCs, the nonlinear functional relationship between the characteristic parameters of the characteristic operating points (COPs) and the specific speed is established. Finally, by combining the mathematical model with the nonlinear relationship, the CPCs for a given specific speed are successfully predicted. A case study shows that the predicted CPCs are basically consistent with the measured data, showing a high prediction accuracy. For a pump-failure water hammer, the simulated results using the predicted CPCs are close to that using the measured data with a small deviation. This method is easy to program and the prediction accuracy meets the requirements for hydraulic transient simulations, providing important data support for engineering design.
Record ID
Keywords
centrifugal pump, complete characteristic curves, hydraulic transient, specific speed
Subject
Suggested Citation
Li H, Lin H, Huang W, Li J, Zeng M, Ma J, Hu X. A New Prediction Method for the Complete Characteristic Curves of Centrifugal Pumps. (2023). LAPSE:2023.17106
Author Affiliations
Li H: School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China
Lin H: School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China
Huang W: School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China [ORCID]
Li J: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China [ORCID]
Zeng M: Department of Hydraulic Engineering, Jiangxi Water Resources Institute, Nanchang 330013, China
Ma J: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Hu X: Shanxi Dongshan Water Supply Project Construction Management Co., Ltd., Taiyuan 030000, China
Lin H: School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China
Huang W: School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, China [ORCID]
Li J: State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China [ORCID]
Zeng M: Department of Hydraulic Engineering, Jiangxi Water Resources Institute, Nanchang 330013, China
Ma J: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
Hu X: Shanxi Dongshan Water Supply Project Construction Management Co., Ltd., Taiyuan 030000, China
Journal Name
Energies
Volume
14
Issue
24
First Page
8580
Year
2021
Publication Date
2021-12-20
ISSN
1996-1073
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Original Submission
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PII: en14248580, Publication Type: Journal Article
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LAPSE:2023.17106
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https://doi.org/10.3390/en14248580
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Mar 6, 2023
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