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Comparative patent analysis for the identification of global research trends for the case of battery storage, hydrogen and bioenergy

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  • Baumann, Manuel
  • Domnik, Tobias
  • Haase, Martina
  • Wulf, Christina
  • Emmerich, Philip
  • Rösch, Christine
  • Zapp, Petra
  • Naegler, Tobias
  • Weil, Marcel

Abstract

Patent documents provide knowledge about which countries are investing in certain technologies and make it possible to identify potential innovation trends. The aim of this article is to analyze trends in patenting that might result in innovations for three energy technologies: thermochemical conversion of biomass (Bioenergy), lithium-ion battery storage, and hydrogen production by alkaline water electrolysis. Based on different patent indicators, the most active countries are compared to provide insights into the global market position of a country, particularly Germany which is used as a reference here. In line with this, a freely available patent analysis software tool was developed directly using the European Patent Office database through their Open Patent Services. The results for named technologies show that patenting activity of Germany is considered lower in comparison to countries such as Japan, China, and the US. Whereas the position of Germany for batteries and hydrogen is comparable, bioenergy shows different results regarding the identified countries and the number of patents found. However, a broader context beyond patenting is suggested for consideration to make robust statements about particular technology trends. The presented tool and methodology in this study can serve as a blueprint for explorative assessments in any technological domain.

Suggested Citation

  • Baumann, Manuel & Domnik, Tobias & Haase, Martina & Wulf, Christina & Emmerich, Philip & Rösch, Christine & Zapp, Petra & Naegler, Tobias & Weil, Marcel, 2021. "Comparative patent analysis for the identification of global research trends for the case of battery storage, hydrogen and bioenergy," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    • Handle: RePEc:eee:tefoso:v:165:y:2021:i:c:s0040162520313317
    DOI: 10.1016/j.techfore.2020.120505
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    References listed on IDEAS

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    1. Palage, Kristoffer & Lundmark, Robert & Söderholm, Patrik, 2019. "The impact of pilot and demonstration plants on innovation: The case of advanced biofuel patenting in the European Union," International Journal of Production Economics, Elsevier, vol. 210(C), pages 42-55.
    2. Jonas Meckling, 2019. "Governing renewables: Policy feedback in a global energy transition," Environment and Planning C, , vol. 37(2), pages 317-338, March.
    3. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
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    9. Naeini, Ali Bonyadi & Zamani, Mehdi & Daim, Tugrul U. & Sharma, Mahak & Yalcin, Haydar, 2022. "Conceptual structure and perspectives on “innovation management”: A bibliometric review," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    10. Metzger, Philipp & Mendonça, Sandro & Silva, José A. & Damásio, Bruno, 2023. "Battery innovation and the Circular Economy: What are patents revealing?," Renewable Energy, Elsevier, vol. 209(C), pages 516-532.
    11. Berna Serener & Dervis Kirikkaleli & Kwaku Addai, 2022. "Patents on Environmental Technologies, Financial Development, and Environmental Degradation in Sweden: Evidence from Novel Fourier-Based Approaches," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    12. Su, Yu-Shan & Huang, Hsini & Daim, Tugrul & Chien, Pan-Wei & Peng, Ru-Ling & Karaman Akgul, Arzu, 2023. "Assessing the technological trajectory of 5G-V2X autonomous driving inventions: Use of patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    13. Fiori, Giovana Maria Lanchoti & Basso, Fernanda Gisele & Porto, Geciane Silveira, 2022. "Cooperation in R&D in the pharmaceutical industry: Technological and clinical trial networks in oncology," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Yong-Jae Lee & Young Jae Han & Sang-Soo Kim & Chulung Lee, 2022. "Patent Data Analytics for Technology Forecasting of the Railway Main Transformer," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    15. Chie Hoon Song, 2021. "Exploring and Predicting the Knowledge Development in the Field of Energy Storage: Evidence from the Emerging Startup Landscape," Energies, MDPI, vol. 14(18), pages 1-20, September.
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    17. Wu, Yingwen & Ji, Yangjian, 2023. "Identifying firm-specific technology opportunities from the perspective of competitors by using association rule mining," Journal of Informetrics, Elsevier, vol. 17(2).

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