Wind Turbine’s Gearbox Aided Design Approach Using Bond Graph Methodology and Monte Carlo Simulation

  • Naima JouilelEmail author
  • Mohammed Radouani
  • Benaissa El Fahime
Regular Paper


Uncertainties in geared products vary according to different levels; there are design uncertainties (physical assumptions, parameters estimations, etc.), manufacturing errors (cutting defects, assembly errors, defects due to heat treatments, etc.) and operating errors such as lubrication. In this paper, uncertainties effect on the transmitted power within a 750 kW Horizontal Axis Wind Turbine gearbox is investigated. A methodology for transmission chain modelling and parametric synthesis in the design phase is detailed. It is based on Bond Graph theory to establish uncertain physical model and Monte Carlo Simulation to conduct a parametric synthesis allowing the definition of each parameter’s interval of variation. After model verification by means of 20-Sim (Controllab product), power gap reveals a variation of 34.87 kW around the nominal value. In addition, Monte Carlo Simulation allows the prediction of each parameter variation effect on the torque transmitted to the induction machine. Study’s results will provide designers with information to conduct a robust design and then achieve high machine’s efficiency.


Bond graph Gearbox Monte Carlo simulation Uncertainties Wind turbine 



Bond graph


Uncertain bond graph


Monte Carlo simulation


Horizontal axis wind turbine


Gearbox efficiency



Laboratory of mechanic, mechatronic and command in high Engineering School (ENSAM-Meknes) supported this work. All acknowledgements to the team members and to Z. Khaouch from Faculty of Sciences and Techniques (FST-BeniMellal) for his support.


Funding was provided by IMSM research team-ENSAM.


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Copyright information

© Korean Society for Precision Engineering 2019

Authors and Affiliations

  1. 1.Laboratory of Mechanic, Mechatronic and CommandENSAM, Moulay Ismail UniversityMeknesMorocco

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