Progress on the Development of a Holistic Coupled Model of Dynamics for Offshore Wind Farms: Phase I — Aero-Hydro-Servo-Elastic Model, With Drive Train Model, for a Single Wind Turbine
Progress on the Development of a Holistic Coupled Model of Dynamics for Offshore Wind Farms: Phase I — Aero-Hydro-Servo-Elastic Model, With Drive Train Model, for a Single Wind Turbine
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DOI：
10.1115/omae2018-77886
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Z. Lin;D. Cevasco;M. Collu
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文献类型：
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作者：
Z. Lin;D. Cevasco;M. Collu
目前，英国约有1500台海上风力涡轮机在运行，总容量为5.4吉瓦，另有3GW在建，13GW已获批准。到目前为止，海上风力涡轮机的研究重点主要是如何最大限度地降低资本支出，但运营和维护（O&M）可能占海上风电场生命周期成本的39%，主要原因是资产成本高，环境恶劣，限制了这些资产的安全模式。目前的工作是一个名为HOME Offshore （www.homeoffshore.org）的大型项目的一部分，该项目旨在通过对风电场的整体多物理场建模，对断层机制进行高级解释。实现这一目标的第一步包括两个主要任务：首先，确定风电场中最相关的故障模式并对其进行排序，确定组件、故障模式和相关环境条件。然后，评估（针对每种故障模式）用于表示风力涡轮机动力学的全阶非线性动力学模型如何按顺序简化，从而减少计算成本（因此更适合按比例放大以表示多个风力涡轮机），但仍然能够捕获和表示与所选故障模式开始时相关的动力学。提出了一种对失效模式进行排序的方法，并提出了一种降低所采用的气动-液压-伺服-弹性（AHSE）动力学模型阶数的方法。讨论了所提出的降阶模型的结果，并将其与全阶耦合模型进行了比较，并以某海上固定风力机（单桩）齿轮箱失效为例进行了分析。
Currently, around 1500 offshore wind turbines are operating in the UK, for a total of 5.4GW, with further 3GW under construction, and 13GW consented. Until now, the focus of the research on offshore wind turbines has been mainly on how to minimise the CAPEX, but Operation and maintenance (O&M) can represent up to 39% of the lifetime costs of an offshore wind farm, due mainly to the high cost of the assets and the harsh environment, limiting the access to these assets in a safe mode. The present work is a part of a larger project, called HOME Offshore (www.homeoffshore.org), and it has as aim an advanced interpretation of the fault mechanisms through a holistic multiphysics modelling of the wind farm. The first step (presented here) toward achieving this aim consists of two main tasks: first of all, to identify and rank the most relevant failure modes within a wind farm, identifying the component, its mode of failure, and the relative environmental conditions. Then, to assess (for each failure mode) how the full-order, nonlinear model of dynamics used to represent the dynamics of the wind turbine can be reduced in order, such that is less computationally expensive (and therefore more suitable to be scaled up to represent multiple wind turbines), but still able to capture and represent the relevant dynamics linked with the inception of the chosen failure mode. A methodology to rank the failure modes is presented, followed by an approach to reduce the order of the Aero-Hydro-Servo-Elastic (AHSE) model of dynamics adopted. The results of the proposed reduced-order models are discussed, comparing it against the full-order coupled model, and taking as case study a fixed offshore wind turbine (monopile) in gearbox failure condition.