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<p>Over the past few decades, traditional steel tubular towers have been replaced by prestressed concrete to place wind turbines at higher heights, thereby enhancing power generation efficiency. However, the high costs associated with these structures remain a significant challenge. Optimization techniques can strongly contribute to reducing the costs of implementing these structures in a wind farm while maintaining structural performance. This work proposes a cost optimization model for externally prestressed wind turbine towers, based on an accurate and efficient nonlinear finite element model. The design variables are the number of prestressing cables and the diameters and thicknesses of the tower’s segments, while the objective function is the total cost of the structural materials. The constraints include serviceability and ultimate limit states, resonance, and geometric requirements. Applications are presented to demonstrate the potential of the proposed optimization model in obtaining improved designs of wind turbine towers, serving as an auxiliary tool for preliminary design phase.</p>

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Optimization of externally prestressed concrete wind turbine towers

  • 期刊论文

  • 发表日期：

    2025年5月22日

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  • Maurício Alves de Melo,
  • Antônio Macário Cartaxo de Melo,
  • Evandro Parente Junior

摘要

Over the past few decades, traditional steel tubular towers have been replaced by prestressed concrete to place wind turbines at higher heights, thereby enhancing power generation efficiency. However, the high costs associated with these structures remain a significant challenge. Optimization techniques can strongly contribute to reducing the costs of implementing these structures in a wind farm while maintaining structural performance. This work proposes a cost optimization model for externally prestressed wind turbine towers, based on an accurate and efficient nonlinear finite element model. The design variables are the number of prestressing cables and the diameters and thicknesses of the tower’s segments, while the objective function is the total cost of the structural materials. The constraints include serviceability and ultimate limit states, resonance, and geometric requirements. Applications are presented to demonstrate the potential of the proposed optimization model in obtaining improved designs of wind turbine towers, serving as an auxiliary tool for preliminary design phase.