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Integrated offshore wind farm design: Optimizing micro-siting and cable layout simultaneously

机译:集成式海上风电场设计:同时优化微选址和电缆布局

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Electrical layout and turbine placement are key design decisions in offshore wind farm projects. Increased turbine spacing minimizes the energy losses caused by wake interactions between turbines but requires costlier cables with higher rates of failure. Simultaneous micro-siting and electrical layout optimization are required to realize all possible savings. The problem is complex, because electrical layout optimization is a combinatorial problem and the computational fluid-dynamics calculations to approximate wake effects are impossible to integrate into classical optimization. This means that state-of-the-art methods do not generally consider simultaneous optimization and resort to approximations instead. We extend an existing model that successfully optimizes cable design to simultaneously consider micro-siting. We use Jensen's equations to approximate the wake effect in an efficient manner, calibrating it with years of mast data. The wake effects are precalculated and introduced into the optimization problem. We solve simultaneously for turbine spacing and cable layout, exploiting the tradeoffs between these wind farm features. We use the Barrow Offshore Wind Farm as a case study to demonstrate realizable savings up to 6 MEUR over the lifetime of the plant, although it is possible that unforeseen design constraints have implications for whether the savings seen in our model are fully realizable in the real world. In addition, the model provides insights on the effects of turbine spacing that can be used to simplify the design process or to support negotiations for surface concession at the earlier stages of a project.
机译:电气布局和涡轮机布置是海上风电场项目中的关键设计决策。增大的涡轮机间距可最大程度地减少由涡轮机之间的尾流相互作用引起的能量损失,但需要成本更高且故障率更高的电缆。需要同时进行微选址和电气布局优化,以实现所有可能的节省。这个问题很复杂,因为电气布局优化是一个组合问题,并且近似尾流效应的计算流体动力学计算不可能集成到经典优化中。这意味着,最新技术通常不会考虑同时优化,而是求近似值。我们扩展了现有模型,该模型成功地优化了电缆设计,同时考虑了微选址。我们使用Jensen方程以有效的方式近似唤醒效果,并使用多年的桅杆数据对其进行校准。预计算尾流效应并将其引入优化问题。我们利用这些风电场功能之间的权衡,同时解决了涡轮机间距和电缆布置问题。我们以巴罗(Barrow)海上风电场为案例研究,以证明在电厂的整个生命周期内可实现的节省高达6百万欧元,尽管不可预见的设计约束可能会影响我们模型中看到的节省是否能够在实际中完全实现。世界。此外,该模型还提供了有关涡轮机间距影响的见解,可用于简化设计过程或支持项目早期阶段的地面特许权谈判。

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