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  4. Structural impact of the start-up sequence on Pelton turbines lifetime: Analytical prediction and polynomial optimization
 
research article

Structural impact of the start-up sequence on Pelton turbines lifetime: Analytical prediction and polynomial optimization

Alerci, Aldo Leonardo  
•
Vagnoni, Elena  
•
Paolone, Mario  
2023
Renewable Energy

Hydropower plants play a crucial role in the power system facing ambitious renewable energy targets. Due to their inherent controllability, they are well suited to provide flexibility to the grid. However, an increased flexibility provision leads to a prolonged operation in off-design conditions and more frequent hydraulic transient, notoriously detrimental in terms of dynamic loads induced on the hydraulic machines. The aim of this paper is to provide a methodology to estimate the damage on Pelton turbines due to the accumulated mechanical stress during their start-up sequence. Transient sequences, as the back-to-back start-up of centrifugal pumps in a pumped-storage power plant, requires the hydraulic machine to operate in conditions featuring high mechanical torque values, leading to an increased structural damage with respect to the nominal operating point. In view of the above, the paper proposes a polynomial optimization algorithm to decrease the fatigue-related operational cost induced on the runner during a start-up sequence. The performance of the algorithm is assessed on a real test case. The presented algorithm identifies the admissible injector opening rate as the crucial parameter in the start-up computation, and shows the dependence of the optimal opening law on the admissible rate with the bucket resonance characteristics.

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Type
research article
DOI
10.1016/j.renene.2023.119341
Author(s)
Alerci, Aldo Leonardo  
Vagnoni, Elena  
Paolone, Mario  
Date Issued

2023

Publisher

Pergamon-Elsevier Science Ltd

Published in
Renewable Energy
Volume

218

Article Number

119341

Subjects

Pelton turbine

•

Transient operation

•

Structural damage

•

Polynomial optimization

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DESL  
FunderGrant Number

CTI/Innosuisse

HydroLeap

Available on Infoscience
October 3, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/201147
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