M. Fischetti

Wind farms are progressively reaching their end of life, raising major challenges for their sustainable decommissioning. Beyond its environmental relevance, decommissioning has been identified by the European Commission as a key lever to secure access to critical raw materials (e.g., dysprosium, neodymium, praseodymium, and terbium) and reduce external dependencies. This work takes a first step toward formalizing emerging decision-making problems in wind farm decommissioning, which remain largely unexplored in the operations research community and require dialogue with multiple stakeholders. We investigate the optimization of circular economy pathways for onshore turbines, focusing on the coordinated planning of material recovery and transportation. We develop a mathematical optimization model, in collaboration with an industrial partner, integrating reuse and recycling strategies with transport optimization.

Keywords: wind energy, operations research, mathematical models, circular economy

Scheduled

SI Optimización y Aprendizaje Estadístico en Energía
September 3, 2026  9:00 AM
Aula 28


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