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Research on Carbon Emission for Preventive Maintenance of Wind Turbine Gearbox Based on Stochastic Differential Equation

作     者:Hongsheng Su Lixia Dong Xiaoying Yu Kai Liu 

作者机构:School of Automation and Electrical EngineeringLanzhou Jiaotong UniversityLanzhou730070China 

出 版 物:《Energy Engineering》 (能源工程(英文))

年 卷 期:2024年第121卷第4期

页      面:973-986页

核心收录:

学科分类:08[工学] 0807[工学-动力工程及工程热物理] 

基  金:supported by Basic Science Research Program through the National Natural Science Foundation of China(Grant No.61867003) Key Project of Science and Technology Research and Development Plan of China Railway Co.,Ltd.(N2022X009) 

主  题:Stochastic differential equation(SDE) condition-based maintenance(CBM) carbon emissions 

摘      要:Time based maintenance(TBM)and condition based maintenance(CBM)are widely applied in many large wind farms to optimize the maintenance issues of wind turbine gearboxes,however,these maintenance strategies do not take into account environmental benefits during full life cycle such as carbon emissions ***,this article proposes a carbon emissions computing model for preventive maintenance activities of wind turbine gearboxes to solve the *** on the change of the gearbox state during operation and the influence of external random factors on the gearbox state,a stochastic differential equation model(SDE)and corresponding carbon emission model are established,wherein SDE is applied to model the evolution of the device state,whereas carbon emission is used to implement carbon emissions *** simulation results indicate that the proposed preventive maintenance cannot ensure reliable operation of wind turbine gearboxes but reduce carbon emissions during their *** with TBM,CBM minimizes unit carbon emissions without influencing reliable operation,making it an effective maintenance method.

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