技术融合是技术创新的源泉,合作研发被视为技术融合的关键驱动力,揭示融合背后合作网络的动态演变对于全面理解融合过程至关重要。基于2005-2022年我国数字技术与风电技术融合的合作专利数据,运用社会网络分析法,通过构建技术融合网络、组织合作网络及技术-组织双层网络,揭示数字技术与风电技术融合的动态演化趋势及其组织合作关系特征。研究表明:第一,技术融合过程呈现阶段化演变特征,随着时间推移,融合速度显著加快,融合网络的小世界特征不断凸显,技术融合的核心领域经历从传统风力发动机技术向电力供电、配电及电能储存技术,再到电数字数据处理技术的演变。第二,组织合作网络无标度特征更加明显,以国家电网有限公司等为代表的国有企业是组织合作网络的主导力量,国有企业之间形成庞大的内部合作网络,对外开放度明显不足。第三,随着双层网络规模扩大,组织技术宽度逐步增大,以G06(计算、推算或计数)为核心的技术集群成为组织间技术合作热点。研究为我国数字技术与风电技术融合的战略布局和管理实践提供了参考。

Global climate change and energy crises present urgent and complex challenges to human society, driving the need forinnovative solutions that can enhance sustainability and energy security. In recent years, thei ntegration of digital technol ogies to facilitate the transition toward smart energy systems has become a focal point of research and policyi nitiatives. This exploration aims tol everage the capabilities of digital technologies to optimize energy systems,i mprove operational efficiencies, and support sustainable development. Technological convergence is central to this transformation, define das the process ofi ntegrating elements from different technological domains to create new functionalities and value. In thedi gital age, the convergence of digital technology with energy technologyi s particularly significant asi t promotes novel solutionscritical for smart energy transitions.Collaboration plays a crucial rolei n enabling technological convergence. The rapid pace of technological evolution and the increasing complexity of interdisciplinary challenges make partnerships with external organizations an essential strategy. Establishing collaborative networks helps overcome disciplinary boundaries, promotes the exchange of knowledge, and accelerates the convergence process. However, despite thei mportance of collaborationi n driving convergence, the existing literatur eon digital and wind power technology integration, especially within the context of China, remains sparse. Althou ghpolicies supporting thisi ntegration have beeni mplemented, comprehensive studies from a patent-based perspective that detail the convergence trends and collaborative dynamics arel imited. Furthermore, research has often focused prim arilyo n technological elements, overlooking the role of collaborative actors and the evolution of their relationships. Thisoversight may hinder a comprehensive understanding of the mechanisms that drive convergence.To address these research gaps, this study aims to utilize patent co-classification data to explore the convergencel andscape of digital and wind power technologies in China and to uncover the dynamic evolution of the collaboration networks underpinning this process. Byf ocusing on collaborative patent dataf rom 2005 to 2022, sourcedf rom the IncoP at database, the st udy a pplies social network analysis to construct and analyze technological convergence networks, organizational collaborationnetworks, and two-layer networks that combine both dimensions. The findings reveal several keyi nsights:（1） The technological convergence process exhibits distinct evolutionary stages,marked by an accelerating pace over time. Thisi s evidenced by thei ncreasingly prominent small-world characteristics within the convergence network, suggesting enhanced connectivity and efficiency in knowledge flow across technological domains. The core technological areas of convergence have shifted over the study period, evolving from traditional wind turbinetech nologies to power supply, distribution, and energy storage technologies, and more recently, to digital data processi ngtechnologies. This progression highlights the growing role of digital solutionsi n the wind power sector, underscoringtheir importance for future innovation.（2） The organizational collaboration network has shown increasingly evidentscale-fre e properties,i ndicating that a few dominant organizations account for the majority of collaborative activities. State-ownedenterprises, such as the State Grid Corporation of China, have emerged as pivotal actors within this network, formin g ext ensive internal collaboration networks. However, these networks demonstrate limited external openness, whichmay restrict broader knowledge transfer and the incorporation of diverse perspectives.（3） The expansion of the two-lay ernetworkhas been accompanied by an increase in the technological breadth managed by organizations. In recent years,technology clusters centered on G06（computing,calculating or counting） have gained prominence as hotspots for inter-orga nizational technological cooperation. Thisresearch makes several contributions to the existing literature. By systematically revealing the trends of digital andw ind power technology convergence through patent network analysis, it provides empirical insights that fill a significa ntresearch gap. The study also enhances the understanding of how collaborative relationships evolve over time, offering acomprehen sive view of thei nteraction between technological and organizational factors. Thesei nsights are useful for policymakers,industry leaders and researchers, as they provide practical guidance for strategic planning and management pract ices aimed at fostering deeper integration of digital and renewable energy technologies. Ultimately, the findings supp or tthedevelopment of targeted strategies to strengthen collaboration, encourage innovation, and facilitate the transition tomore sustainable and efficient energy systems in China.