Lifetime Extension of Wind Farms by a Low-Cost Energy-Autonomous IoT-Based Structural Health Monitoring System
A. Lopez-Martin, C. Castellano, M. Zivanovic, X. Iriarte and A. Carlosena Institute of Smart Cities, Public University of Navarra Campus Arrosadia, Pamplona (Spain) 2026-02-15

Abstract

The latest results of a research project pursuing anenergy-autonomous Structural Health Monitoring (SHM) system for wind farms are presented. The SHM system is based on the development of low-power IoT wireless nodes and electromagnetic harvesters to capture energy from low-frequency vibrations of wind towers. Computationally efficient operational modal analysis methods suited to the low-cost IoT edge nodes are also explored. The work carried out aims to extend the lifetime of existing wind farms by properly monitoring their structural integrity.

Key words: Wind farms, Structural Health Monitoring, IoT.

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