Next Article in Journal
Insulation Strength and Decomposition Characteristics of a C6F12O and N2 Gas Mixture
Next Article in Special Issue
Advanced Energy Storage Technologies and Their Applications (AESA2017)
Previous Article in Journal
Optimizing Energy Efficiency in Operating Built Environment Assets through Building Information Modeling: A Case Study
Previous Article in Special Issue
Analysis of Low Temperature Preheating Effect Based on Battery Temperature-Rise Model
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Energies 2017, 10(8), 1169; https://doi.org/10.3390/en10081169

Parametric Design of an Ultrahigh-Head Pump-Turbine Runner Based on Multiobjective Optimization

1
Department of Thermal Engineering, State Key Laboratory of Hydro Science and Engineering, Tsinghua University, Beijing 100084, China
2
School of Energy and Power Engineering, Xihua University, Chengdu 610039, China
3
Harbin Institute of Large Electrical Machinery, Harbin 150040, China
*
Author to whom correspondence should be addressed.
Received: 19 April 2017 / Revised: 29 July 2017 / Accepted: 4 August 2017 / Published: 8 August 2017
(This article belongs to the Special Issue Advanced Energy Storage Technologies and Their Applications (AESA))
Full-Text   |   PDF [7996 KB, uploaded 17 August 2017]   |  

Abstract

Pumped hydro energy storage (PHES) is currently the only proven large-scale energy storage technology. Frequent changes between pump and turbine operations pose significant challenges in the design of a pump-turbine runner with high efficiency and stability, especially for ultrahigh-head reversible pump-turbine runners. In the present paper, a multiobjective optimization design system is used to develop an ultrahigh-head runner with good overall performance. An optimum configuration was selected from the optimization results. The effects of key design parameters—namely blade loading and blade lean—were then investigated in order to determine their effects on runner efficiency and cavitation characteristics. The paper highlights the guidelines for application of inverse design method to high-head reversible pump-turbine runners. Middle-loaded blade loading distribution on the hub, back-loaded distribution on the shroud, and large positive blade lean angle on the high pressure side are good for the improvement of runner power performance. The cavitation characteristic is mainly influenced by the blade loading distribution near the low pressure side, and large blade lean angles have a negative impact on runner cavitation characteristics. View Full-Text
Keywords: ultrahigh-head pump-turbine; multiobjective optimization; blade loading; blade lean ultrahigh-head pump-turbine; multiobjective optimization; blade loading; blade lean
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Liu, L.; Zhu, B.; Bai, L.; Liu, X.; Zhao, Y. Parametric Design of an Ultrahigh-Head Pump-Turbine Runner Based on Multiobjective Optimization. Energies 2017, 10, 1169.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top