Detection of hydraulic phenomena in francis turbines with different sensors
Nowadays, hydropower is demanded to provide flexibility and fast response into the electrical grid in order to compensate the non-constant electricity generation of other renewable sources. Hydraulic turbines are therefore demanded to work under o -design conditions more frequently, where di erent c...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/175605 |
| Acceso en línea: | https://hdl.handle.net/2117/175605 https://dx.doi.org/10.3390/s19184053 |
| Access Level: | acceso abierto |
| Palabra clave: | Hydraulic turbines Water-power Hydraulic motors Hydropower Francis turbine Sensors Monitoring Vibration Detection Turbines hidràuliques Energia hidràulica Motors hidràulics Àrees temàtiques de la UPC::Enginyeria mecànica Àrees temàtiques de la UPC::Enginyeria mecànica::Motors::Motors hidràulics Àrees temàtiques de la UPC::Energies::Energia hidràulica |
| Sumario: | Nowadays, hydropower is demanded to provide flexibility and fast response into the electrical grid in order to compensate the non-constant electricity generation of other renewable sources. Hydraulic turbines are therefore demanded to work under o -design conditions more frequently, where di erent complex hydraulic phenomena appear, a ecting the machine stability as well as reducing the useful life of its components. Hence, it is desirable to detect in real-time these hydraulic phenomena to assess the operation of the machine. In this paper, a large medium-head Francis turbine was selected for this purpose. This prototype is instrumented with several sensors such as accelerometers, proximity probes, strain gauges, pressure sensors and a microphone. Results presented in this paper permit knowing which hydraulic phenomenon is detected with every sensor and which signal analysis technique is necessary to use. With this information, monitoring systems can be optimized with the most convenient sensors, locations and signal analysis techniques |
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