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During March 2023, CDIF-UPC Universitat Politècnica de Catalunya was in a new Kaplan Turbine in Angola. The turbine experienced strong vibrations problems in the Speed No Load phase. In such conditions it is very difficult to determine the origin of vibrations as the blades and other part of the turbines are totally submerged, confined and rotating. Alexandre Presas and Greco Moraga González used all the accumulated experience of the CDIF-UPC in prototype testing and measurements. Finally, the origin of the vibrations was determined, and the unit could go to the next phase of the commissioning tests. It was a pleasure for us to work in the solution of this problem together with Elecnor Group and TRACTEBEL and to contribute to the electrification of Angola with renewable energy.
Alpiq recently opened its doors to XFLEX HYDRO partners, providing an exclusive look at the latest flexibility upgrade at Z'Mutt pumping station. Z'Mutt, part of the Grande Dixence hydroelectric complex, plays a crucial role in storing and converting potential energy into electricity, supporting the integration of intermittent renewable energy sources.
In the context of XFLEX HYDRO, CDIF-UPC from Universitat Politècnica de Catalunya, together with EDP have published a new paper about a realistic evaluation of the use of variable speed technology in hydropower. Real data of a prototype demonstrator of the XFLEX HYDRO project has been used to evaluate how variable speed would improve the efficiency of a mid-head Francis turbine. It is shown that this technology could be used to generate the same energy as with a conventional fixed speed unit, but using less water.
Exciting learning experience at Iberdrola Campus! Last week of May, Eduard Egusquiza conducted an advanced course on Hydraulic Turbines, Dynamic Behavior, and Vibrations for Iberdrola Engineers. Engaging sessions, talented engineers, and a big thank you to Iberdrola for the opportunity!
Within the frame of the European Project XFLEX Hydro, the benefits of hybridizing a hydroturbine with a battery have been studied. In this investigation, a Kaplan turbine has been hybridized with a battery in paral·lel, which can deliver or substract energy to compensate the frequency deviations of the grid. This is an important novel solution to provide flexibility to the grid with fast response at the same time than minimizing wear and tear of the turbine components. UPC has contributed to this work by installing a monitoring system in the unit and performing the comparisons about wear and tear of the main components involved.
Greco Moraga has published his first journal paper derived from his investigation of his ongoing PhD thesis. The paper is titled "Analysis of the Mode Shapes of Kaplan Runners" and it characterize the modal behavior of Kaplan turbines in order to assess preventing lifetime shortening and premature failures.
More flexibility in hydropower requires new monitoring strategies and advances data analytics. New paper published by Weiqiang Zhao and Alexandre Presas about this topic in Structural Health Monitoring: On the use of vibrational hill charts for improved condition monitoring and diagnosis of hydraulic turbines. With the knowledge acquired in this paper, more flexible and safe operation of hydraulic turbines can be achieved, assessing the new challenges in this topic and ensuring a safe transition to more renewable energy.
David Valentín together with the members of CDIF have studied a catastrophic failure in a solar tracker located in the south of Spain. Torsional galloping due to high speed wind have been identified as the cause of the failure, which is a dangerous aerodynamic and self-excited phenomenon. This study will help to avoid similar failures in the future following the recommended actions.
Last September 2021 CDIF performed the second experimental campaing in Caniçada hydropower plant, part of the WP8 of XFLEX Hydro project. The test will be used to study the possibility to convert the units to variable speed.
Weiqiang Zhao has presented his PhD Thesis entitled "Improved Condition Monitoring of Hydraulic Machines based on Artificial Intelligence Techniques" under the supervision of Prof. Eduard Egusquiza and Alexandre Presas. The presentation has been conducted online. This PhD is one of the first steps that approaches artificial intelligence to the monitoring of hydraulic turbines.
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