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首页> 外文会议>ASME international conference on ocean, offshore and arctic engineering >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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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

机译：海上风电场动力学全耦合模型研究进展，第一阶段：单风轮机的气动-液压-伺服-弹性模型，带传动模型

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Currently, around 1500 offshore wind turbines are operating in the UK, for a total of 5.4GW, with further 3GW under construction, and 13 GW 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.
机译：目前，英国大约有1500台海上风力涡轮机在运行，总计5.4GW，另外3GW正在建设中，并同意使用13 GW。到目前为止，对海上风力涡轮机的研究主要集中在如何最小化CAPEX上，但是由于高昂的运营成本，运维（O＆M）可能占海上风力发电场整个生命周期成本的39％资产的成本和恶劣的环境，限制了以安全模式访问这些资产的机会。目前的工作是一个名为HOME Offshore（www.homeoffshore.org）的较大项目的一部分，旨在通过对风电场进行整体多物理场建模来对故障机制进行高级解释。实现此目标的第一步（此处提出）包括两个主要任务：首先，确定风电场内最相关的故障模式并对其进行排名，确定组件，其故障模式以及相关的环境条件。然后，为了评估（针对每种故障模式）如何按顺序减少用于表示风力涡轮机动力学的动力学的全阶非线性模型，从而降低了计算量（因此更适合按比例放大）代表多个风力涡轮机），但仍然能够捕获并代表与选定故障模式开始有关的相关动态。提出了一种对破坏模式进行排序的方法，然后介绍了一种减少采用的气动-液压-伺服-弹性（AHSE）动力学模型的顺序的方法。讨论了所提出的降阶模型的结果，将其与全阶耦合模型进行了比较，并以变速箱故障情况下的固定式海上风力发电机（单机）为例进行了研究。

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