open access publication

Article, 2024

Optimal design of a hinge-spring-friction device for enhancing wind induced structural response of onshore wind turbines

Engineering Structures, ISSN 0141-0296, 1873-7323, Volume 314, Page 118305, 10.1016/j.engstruct.2024.118305

Contributors

Sorge, Ettore [1] Riascos, Carlos 0000-0003-4877-9976 [1] Caterino, Nicola 0000-0001-6718-8114 (Corresponding author) [1] [2] Demartino, Cristoforo 0000-0002-9364-5160 [3] Georgakis, Christos Thomas 0000-0001-6001-3856 [4]

Affiliations

  1. [1] Parthenope University of Naples
  2. [NORA names: Italy; Europe, EU; OECD];
  3. [2] National Research Council
  4. [NORA names: Italy; Europe, EU; OECD];
  5. [3] Roma Tre University
  6. [NORA names: Italy; Europe, EU; OECD];
  7. [4] Aarhus University
  8. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Wind turbines are subjected to fluctuating wind loads leading to considerable forces and structural fatigue to the towers, ultimately affecting costs, performances, and lifespan, for the tower as well as for the foundation. To mitigate these issues, both in terms of peak and fatigue structural demand, this paper presents the development and optimization of a Hinge-Spring-Friction Device (HSFD) designed for onshore wind turbines. A decoupled numerical model of the wind turbine system incorporating the HSFD is first established. The wind load is modelled by means of the open-source software QBlade© accounting for different wind conditions. These loads are then applied to a FEM structural model of the wind turbine developed in Simulink© and optimized for computational efficiency. The optimal design parameters (strength and stiffness of the frictional and elastic part, respectively) of the HSFD are determined through a multi-objective constrained optimization algorithm, minimizing the peak base moment and total damage fatigue. The proposed framework is then applied to a NREL 5 MW wind turbine to provide an applicative example. The results show that the optimized HSFD can significantly reduce the fatigue damage and the base moment demand to the tower, so providing a really promising solution for the effective design of wind turbines as well as for the repowering of existing plants.

Keywords

FEM, NREL, NREL 5, Simulink, affect costs, algorithm, application example, base, base moment, computational efficiency, conditions, constrained optimization algorithm, cost, damage, demand, design, design of wind turbines, design parameters, development, devices, effective design, efficiency, examples, fatigue, fatigue damage, fluctuating wind loads, force, framework, issues, lifespan, load, model, moment, moment demand, numerical model, onshore wind turbines, optimal design, optimal design parameters, optimization, optimization algorithm, parameters, peak, performance, plants, repowering, results, solution, structural demands, structural fatigue, structural model, system, tower, turbine, turbine system, wind, wind conditions, wind loads, wind turbine system, wind turbines

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