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| 基于LCOE最优的数字化风电场及其关键技术研究 |
| Study on the key technologies of digital wind farm based on the optimal LCOE |
| 投稿时间：2018-11-21 |
| DOI：10.13259/j.cnki.eri.2020.04.003 |
| 中文关键词: LCOE 数字化风电场 数字化 数字孪生 |
| 英文关键词:levelized cost of energy digital wind farm digitalization digital twins |
| 基金项目: |
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| 摘要点击次数: 2896 |
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| 中文摘要: |
| 数字化风电场是风电场综合利用数字化技术的新阶段。在分析风电场建设管理所面临的挑战的基础上，讨论了平准化度电成本（LCOE）的计算公式和内涵，给出了数字化风电场的定义，阐述了基于LCOE最优的数字化风电场的“风、机、场、网、环”五大特征以及数字化技术在降低LCOE中的作用。最后，总结了实现数字化风电场的风资源、大数据平台、数据分析建模、数字孪生和数据安全五大关键技术。 |
| 英文摘要: |
| Digital wind farm is the new stage of comprehensive digital utilization of wind farm. Based on the challenges of wind farm implementation and management, the calculation and content of levelized cost of energy (LCOE) were discussed. The term of “Digital wind farm” was defined. Five characteristics such as “Wind, Turbine, Plant, Grid, Environment” and their roles of reducing LCOE were described based on the optimal LCOE. At last, five key technologies including wind source, big-data platform, data extraction and modeling, digital twins and data security were summarized to favor achieving the goals of digital wind farm. |
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