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

• Published in: International journal of precision engineering and manufacturing-green technology Vol. 8; no. 1; pp. 89 - 101
• Main Authors: Jouilel, Naima, Radouani, Mohammed, El Fahime, Benaissa
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer Nature B.V 01-01-2021
• Subjects: Design defects; Design parameters; Efficiency; Errors; Gearboxes; Graph theory; Heat treatment; Heat treatments; Horizontal Axis Wind Turbines; Induction motors; Kinematics; Mathematical models; Methods; Monte Carlo simulation; Parameter estimation; Robust design; Synthesis; Turbines; Uncertainty; Variables; Variation; Wind power
• ISSN: 2288-6206; 2198-0810
• DOI: 10.1007/s40684-019-00170-w

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.