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Identifying and understanding disruptive energy technologies: A data-driven integrated approach

Author

Listed:
  • Dong, Jie
  • Yang, Chen
  • Zhang, Hongyan
  • Zhou, Peng

Abstract

Identifying disruptive technologies early is essential not only to stay at the forefront of technological development but also to prepare preemptively for its disruptive effects. This study proposes an integrated approach for identifying disruptive energy technologies based on the connotation and characteristics of disruptive technologies in general. The research approach includes a patent analysis, text mining, and expert surveys; the outcome is a comprehensive framework that integrates multiple data sources, such as patent data, governmental policy reports, news texts, and expert surveys. The study focuses on five key energy sectors to identify the general and domain-based potentially disruptive technologies; the sectors include nuclear energy, wind energy, solar energy, energy storage and hydrogen energy. The robustness of this framework is assessed by comparing it against empirical evidence of technology influence and the support received. This goal is to offer practical insights for predicting and directing technology investment and deployment, and shaping technology-driven policies in the clean energy sector.

Suggested Citation

  • Dong, Jie & Yang, Chen & Zhang, Hongyan & Zhou, Peng, 2026. "Identifying and understanding disruptive energy technologies: A data-driven integrated approach," Energy Economics, Elsevier, vol. 155(C).
    • Handle: RePEc:eee:eneeco:v:155:y:2026:i:c:s0140988326000575
    DOI: 10.1016/j.eneco.2026.109178
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