Sustainable Analysis of Wind Turbine Blade Fatigue: Simplified Method for Dynamic Load Measurement and Life Estimation

Cristofer Aguilar Jiménez, Geovanni Hernández Gálvez, José Rafael Dorrego Portela, Antonio Verde Añorve, Guillermo Ibáñez Duharte, Joel Pantoja Enríquez, Orlando Lastres Danguillecourt, Alberto-Jesus Perea-Moreno, David Muñoz-Rodriguez and Quetzalcoatl Hernandez-Escobedo ()
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Cristofer Aguilar Jiménez: Instituto de Investigación e Innovación en Energías Renovables, Universidad de Ciencias y Artes de Chiapas, Libramiento Norte Poniente 1150, Colonia Lajas Maciel, Tuxtla Gutiérrez 29039, Mexico
Geovanni Hernández Gálvez: División de Ciencias Básicas e Ingeniería, Universidad Popular de la Chontalpa, Carretera Cárdenas-Huimanguillo km 2, Ranchería Paso y Playa, Cárdenas 86556, Mexico
José Rafael Dorrego Portela: División de Estudios de Posgrado, Universidad del Istmo, Campus Tehuantepec, Ciudad Universitaria S/N, Barrio Santa Cruz, 4a. Sección, Santo Domingo, Tehuantepec 70760, Mexico
Antonio Verde Añorve: Instituto de Investigación e Innovación en Energías Renovables, Universidad de Ciencias y Artes de Chiapas, Libramiento Norte Poniente 1150, Colonia Lajas Maciel, Tuxtla Gutiérrez 29039, Mexico
Guillermo Ibáñez Duharte: Instituto de Investigación e Innovación en Energías Renovables, Universidad de Ciencias y Artes de Chiapas, Libramiento Norte Poniente 1150, Colonia Lajas Maciel, Tuxtla Gutiérrez 29039, Mexico
Joel Pantoja Enríquez: Instituto de Investigación e Innovación en Energías Renovables, Universidad de Ciencias y Artes de Chiapas, Libramiento Norte Poniente 1150, Colonia Lajas Maciel, Tuxtla Gutiérrez 29039, Mexico
Orlando Lastres Danguillecourt: Instituto de Investigación e Innovación en Energías Renovables, Universidad de Ciencias y Artes de Chiapas, Libramiento Norte Poniente 1150, Colonia Lajas Maciel, Tuxtla Gutiérrez 29039, Mexico
Alberto-Jesus Perea-Moreno: Departamento de Física Aplicada, Radiología y Medicina Física, Campus Universitario de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
David Muñoz-Rodriguez: Departamento de Física Aplicada, Radiología y Medicina Física, Campus Universitario de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
Quetzalcoatl Hernandez-Escobedo: Escuela Nacional de Estudios Superiores Unidad Juriquilla, Universidad Nacional Autónoma de Mexico, Campus Juriquilla, Queretaron 76230, Mexico

Sustainability, 2025, vol. 17, issue 17, 1-30

Abstract: This study presents a novel approach to addressing the challenges associated with wind turbine blade fatigue, focusing on the development of a simplified method for dynamic load measurement and life estimation. Wind turbine blades are subjected to complex and varied loads during their operational life, leading to fatigue-induced damage that can significantly impact the overall performance and longevity of the turbine. The proposed method integrates advanced sensor technologies and data analytics to capture dynamic loads on the blades more effectively. Dynamic load measurement and fatigue estimation for a wind turbine blade are quite challenging tasks, since the real-time wind-induced load is irregular and stochastic, and the associated load history affects blade fatigue life in complex ways. This paper shows the implementation of a simplified method for damage and life estimation of a 1.5 kW wind turbine blade with an aerodynamic stall-limiting system. The findings from this research contribute to advancing the field of wind energy by providing a streamlined and efficient approach to addressing blade fatigue issues, ultimately promoting the sustainable and economic utilization of wind power resources. The proposed method simplifies the processes of dynamic load measurement and fatigue life estimation by employing a resonance-based approach. This reduces energy and cost requirements compared to forced displacement methods, while maintaining accuracy in replicating damage equivalent loads. Additionally, it avoids the complexities of simulating real-world turbulence by using controlled conditions, ensuring reproducibility.

Keywords: wind turbine blade; fatigue test; dynamic load measurement; life estimation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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