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海上风电大数据发展研究——以广东省海上风电大数据中心建设为例

Research on the Development of Big Data with Offshore Wind Power:A Case Study of the Construction of Guangdong Offshore Wind Farm Big Data Center

  • 摘要:
      目的  海上风电已成为全球可再生能源发展的研究热点,虽然前期取得了显著成绩,但勘测设计、建设管理、运行维护、技术创新、产业融资等方面还不太成熟,技术创新是解决以上问题主要途径。其中,大数据技术已经成为提升海上风电的可靠性和电力质量,降低运维成本的至关重要的一环。
      方法  基于大数据技术探讨了海上风电大数据的价值与意义。
      结果  以广东省海上风电大数据中心建设为例,提出了海上风电大数据的总体框架和主要任务。
      结论  海上风电大数据发展对充分发掘广东省海域风能资源,推动广东省海上风电产业发展,促进能源结构优化转型和节能减排提供了有力支撑。

     

    Abstract:
      Introduction  Offshore wind power has become a research hotspot in the development of renewable energy in the world. Although significant achievements have been made in the early stages, it is not yet mature in terms of survey design, construction management, operation and maintenance, technological innovation, and industrial financing. In order to solve the above problems, technological innovation is particularly important. Among them, big data technology has become an important part of improving the reliability and power quality of offshore wind power and reducing the cost of transportation.
      Method  Based on big data technology, the value and significance of offshore wind power data are discussed.
      Result  By taking the construction of Guangdong Offshore Wind Farm Big Data Center for example, this paper puts forward the general framework of offshore wind power data, and analyzes the important tasks of marine wind power data in Guangdong Province around this framework.
      Conclusion  The development of offshore wind power data has provided strong support for fully exploiting the wind energy resources in Guangdong Province, promoting the development of the marine wind power industry in Guangdong Province, and promoting the optimization and transformation of the energy structure and energy conservation and emission reduction.

     

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