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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

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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Samenvatting

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.

Originele taal-2Engels
Artikelnummer122426
Aantal pagina's16
TijdschriftEnergy
Volume239
DOI's
StatusGepubliceerd - 15 jan. 2022

Bibliografische nota

Publisher Copyright:
© 2021 Elsevier Ltd

Financiering

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.

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  1. SDG 7 – Betaalbare en schone energie
    SDG 7 – Betaalbare en schone energie

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