基于Horizon 2020计划的欧盟风能研究布局分析

Analysis of EU Wind Energy Research Projects in Horizon 2020

本文选取欧盟Horizon 2020计划风能科研项目,通过建立风能行业自定义词典,利用自然语言处理(Natural Language Processing,NLP)方法提取了项目关键词;采用文献计量学方法,并运用可视化工具绘制知识图谱,分析了项目主题聚类、研究热点和发展趋势等。分析发现,研究项目热点主题包括ICT类、转子及叶片、风机结构、风力发电机创新型概念模型,以及风力发电相关的电气技术、控制技术、传感技术、检测技术、风资源与选址技术、机器人运维技术等;2018年以来,数字地图、卫星云图、海洋机器人、系泊系统、预测模型等风能研究主题开始受到更多关注;欧盟形成了以西门子、丹麦技术大学、代尔夫特理工大学、弗劳恩霍夫研究所、天主教鲁汶大学等为核心的风能创新生态圈。在“碳达峰、碳中和”目标背景下,中国风能行业将获得更大发展机遇,本文最后提出了应加强与欧盟风能行业的创新合作,拓展风能行业创新内容的覆盖面,激发中小企业创新活力,繁荣中国风能行业创新生态圈等建议。

The paper selects the EU’s wind energy research projects in Horizon 2020,establishes a wind energy industry custom dictionary and utilizes natural language processing(NLP)methods to extract project keywords.Using bibliometrics methods and visualization tools,knowledge maps are drawn,and project theme clustering,research hotspots and development trends,etc.,are analyzed.It is found that the hot themes of the projects include ICT,rotor and blade structure,innovative concept design models for wind turbine,and many other wind energy related technologies such as electrical,control,sensing,detection,wind resources and site selection,robot operation and maintenance etc..Since 2018,wind energy research themes such as digital transformation,digital maps,satellite image,marine robots,mooring system,and predictive maintenance have received more attention.The EU wind energy industry has formed a wind energy innovation ecosystem,with SIEMENS,DANMARKS TEKNISKE UNIVERSITET,TECHNISCHE UNIVERSITEIT DELFT,FRAUNHOFER,KATHOLIEKE UNIVERSITEIT LEUVEN as the core.In the context of the"carbon peak and carbon neutrality"goal,China’s wind energy industry will embrace larger development opportunities.In the end,this article puts forward suggestions on strengthening innovation cooperation with the EU’s wind energy industry,expanding the coverage of innovation content,stimulating the innovation vitality of SMEs,and nourishing the innovation ecosystem of China’s wind energy industry.