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Numerical and experimental investigations on inflow loss in the energy recovery turbines with back-curved and front-curved impeller based on the entropy generation theory

  • Bing Qi
  • , Desheng Zhang (Corresponding author)
  • , Linlin Geng
  • , Ruijie Zhao
  • , Bart P.M. van Esch

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Pump as turbine (PAT) is one of the economical and effective energy recovery devices in small hydropower stations. A back-curved PAT and a front-curved PAT were designed, and performance characteristics were studied, the accuracy of the numerical calculation was verified by comparing with the experimental results. The entropy generation theory was used to compare performance and energy loss of PATs. The results show that the high efficiency range of front-curved PAT is significantly wider than that of back-curved PAT. Under part-load condition (0.8Qd), design flow condition (1.0Qd) and over-load condition (1.2Qd), the efficiency of the front-curved PAT is 0.6%, 5.9% and 7.9% higher than that of the back-curved PAT, respectively. The energy loss in the PAT impeller mainly comes from the turbulent entropy generation rate which is mainly concentrated on the blade leading edge and trailing edge. Flow separation and flow impact caused by the mismatch between the relative flow angle and the blade setting angle are the main mechanisms of energy loss in impeller. In addition, the loss caused by the wall friction in the front-curved impeller is less than that in the back-curved impeller. Therefore, the entropy generation theory can provide guidance for the performance optimization of PAT.

Original languageEnglish
Article number122426
Number of pages16
JournalEnergy
Volume239
DOIs
Publication statusPublished - 15 Jan 2022

Bibliographical note

Funding Information:
This work was grant by the National key R&D project ( 2017YFC0404201 ), Jiangsu Distinguished Youth Fund ( BK20211547 ) and 2021 excellent scientific and technological innovation team project of universities in Jiangsu Province ( SKJ(2021)-1 ). The supports are gratefully acknowledged.

Funding

This work was grant by the National key R&D project ( 2017YFC0404201 ), Jiangsu Distinguished Youth Fund ( BK20211547 ) and 2021 excellent scientific and technological innovation team project of universities in Jiangsu Province ( SKJ(2021)-1 ). The supports are gratefully acknowledged.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Efficiency
  • Energy loss
  • Entropy generation theory
  • Experimental test
  • Numerical calculation
  • Pump as turbine

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