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An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades

Smooth integration of intermittent energy sources, such as solar and wind power, into the electrical grid induces new operating conditions of the hydraulic turbine by increasing the off-design operations, start/stops, and load variations. Therefore, hydraulic turbines are subject to unstable flow co...

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Autores principales: Soltani Dehkharqani, Arash, Engström, Fredrik, Aidanpää, Jan-Olov, Cervantes, Michel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766594/
https://www.ncbi.nlm.nih.gov/pubmed/33339455
http://dx.doi.org/10.3390/s20247220
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author Soltani Dehkharqani, Arash
Engström, Fredrik
Aidanpää, Jan-Olov
Cervantes, Michel J.
author_facet Soltani Dehkharqani, Arash
Engström, Fredrik
Aidanpää, Jan-Olov
Cervantes, Michel J.
author_sort Soltani Dehkharqani, Arash
collection PubMed
description Smooth integration of intermittent energy sources, such as solar and wind power, into the electrical grid induces new operating conditions of the hydraulic turbine by increasing the off-design operations, start/stops, and load variations. Therefore, hydraulic turbines are subject to unstable flow conditions and unfavorable load fluctuations. Predicting load fluctuations on the runner using indirect measurements can allow for optimized operations of the turbine units, increase turbine refurbishment time intervals, and avoid structural failures in extreme cases. This paper investigates an experimental methodology to assess and predict the flow condition and load fluctuations on a Kaplan turbine runner at several steady-state operations by performing measurements on the shaft in the rotating and stationary frame of references. This unit is instrumented with several transducers such as miniature pressure transducers, strain gages, and proximity probes. The results show that for any propeller curve of a Kaplan turbine, the guide vane opening corresponding to the minimum pressure and strain fluctuations on the runner blade can be obtained by axial, torsion, and bending measurements on the shaft. Torsion measurements on the shaft could support index-testing in Kaplan turbines particularly for updating the cam-curve during the unit operation. Furthermore, a signature of every phenomenon observed on the runner blade signals, e.g., runner frequency, rotating vortex rope components, and rotor-stator interaction, is found in the data obtained from the shaft.
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spelling pubmed-77665942020-12-28 An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades Soltani Dehkharqani, Arash Engström, Fredrik Aidanpää, Jan-Olov Cervantes, Michel J. Sensors (Basel) Article Smooth integration of intermittent energy sources, such as solar and wind power, into the electrical grid induces new operating conditions of the hydraulic turbine by increasing the off-design operations, start/stops, and load variations. Therefore, hydraulic turbines are subject to unstable flow conditions and unfavorable load fluctuations. Predicting load fluctuations on the runner using indirect measurements can allow for optimized operations of the turbine units, increase turbine refurbishment time intervals, and avoid structural failures in extreme cases. This paper investigates an experimental methodology to assess and predict the flow condition and load fluctuations on a Kaplan turbine runner at several steady-state operations by performing measurements on the shaft in the rotating and stationary frame of references. This unit is instrumented with several transducers such as miniature pressure transducers, strain gages, and proximity probes. The results show that for any propeller curve of a Kaplan turbine, the guide vane opening corresponding to the minimum pressure and strain fluctuations on the runner blade can be obtained by axial, torsion, and bending measurements on the shaft. Torsion measurements on the shaft could support index-testing in Kaplan turbines particularly for updating the cam-curve during the unit operation. Furthermore, a signature of every phenomenon observed on the runner blade signals, e.g., runner frequency, rotating vortex rope components, and rotor-stator interaction, is found in the data obtained from the shaft. MDPI 2020-12-16 /pmc/articles/PMC7766594/ /pubmed/33339455 http://dx.doi.org/10.3390/s20247220 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Soltani Dehkharqani, Arash
Engström, Fredrik
Aidanpää, Jan-Olov
Cervantes, Michel J.
An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades
title An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades
title_full An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades
title_fullStr An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades
title_full_unstemmed An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades
title_short An Indirect Measurement Methodology to Identify Load Fluctuations on Axial Turbine Runner Blades
title_sort indirect measurement methodology to identify load fluctuations on axial turbine runner blades
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766594/
https://www.ncbi.nlm.nih.gov/pubmed/33339455
http://dx.doi.org/10.3390/s20247220
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