Life Cycle Assessment of Piezoelectric Devices Implemented in Wind Turbine Condition Monitoring Systems

Rabie Aloui, Raoudha Gaha (), Barbara Lafarge, Berk Celik and Caroline Verdari
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Rabie Aloui: Roberval, Centre de Recherche Royallieu, Université de Technologie de Compiègne, CS 60319, 60203 Compiègne, France
Raoudha Gaha: Roberval, Centre de Recherche Royallieu, Université de Technologie de Compiègne, CS 60319, 60203 Compiègne, France
Barbara Lafarge: Roberval, Centre de Recherche Royallieu, Université de Technologie de Compiègne, CS 60319, 60203 Compiègne, France
Berk Celik: Avenues, Centre Pierre Guillaumat, Université de Technologie de Compiègne, 60203 Compiègne, France
Caroline Verdari: Roberval, Centre de Recherche Royallieu, Université de Technologie de Compiègne, CS 60319, 60203 Compiègne, France

Energies, 2024, vol. 17, issue 16, 1-20

Abstract: Assessing the vibration signature produced by a rotating component of the wind turbine enables the identification of operational conditions and the detection of potential faults at an early stage. The main purpose is to enhance the sustainability of wind turbines while increasing the lifespan and uptime of their operational systems. This vibration analysis is based on the processing of the signal provided by sensors, which often incorporates piezoelectric transducers. This paper evaluates the consequences of employing piezoelectric sensors used for vibration measurement on electrical machines integrated into wind turbines by conducting a life cycle assessment (LCA). The widespread use of piezoelectric materials is due to their high sensitivity to vibrations, although their selection is also influenced by regulatory restrictions. This research focuses on the environmental impact of piezoelectric accelerometers used commonly in condition monitoring systems. The collected literature data on the manufacturing processes are inputted into the LCA model which is powered by the Ecoinvent 3 database. The impact assessment is carried out using the European ILCD 2011 Midpoint+ method by calculating the unique scores of the selected impact categories. The results are presented and discussed in terms of environmental indicators, as well as ecological recommendations on the design.

Keywords: life cycle assessment; sustainability; ecodesign; wind turbine; piezoelectric sensors; predictive maintenance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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