• [口頭報告]Evolution Forecasting of Low-carbon Technology in Coal-fired Power: A Novel Three-layer Text Mining Framework
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    [口頭報告]Evolution Forecasting of Low-carbon Technology in Coal-fired Power: A Novel Three-layer Text Mining Framework

    Evolution Forecasting of Low-carbon Technology in Coal-fired Power: A Novel Three-layer Text Mining Framework
    編號:290 稿件編號:69 訪問權限:僅限參會人 更新:2024-05-19 15:35:20 瀏覽:171次 口頭報告

    報告開始:2024年05月31日 14:45 (Asia/Shanghai)

    報告時間:15min

    所在會議:[S10] Green Energy Transformation and Sustainable Development ? [S10-2] Afternoon of May 31st

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    摘要
    Exploring the evolution characteristics and development trends of low-carbon technologies in coal-fired power is conducive to promoting the adoption of low-carbon technologies by coal-fired power enterprises and facilitating the formation of new quality productivity in the coal-fired power industry. In this paper, a novel technology evolution forecast framework based on three-layer text mining is proposed. Utilizing the data of scientific papers and patent texts from 2000-2023, the evolution characteristics and development status of low-carbon coal power technology system are analyzed from three dimensions: technological positioning, evolution pathway and content trend. The results show that there are differences in the evolution trend of different categories of low-carbon technologies, with carbon control and system coupling technologies emerging as the core areas for future development. The correlation between different categories often leads to their similar development trends, such as fuel and combustion technologies, carbon control and system coupling technologies. Evolution characterized by incremental technological innovation will gradually lose vitality in the later stages of technological development, reducing the emergence frequency of emerging technologies, as observed in combustion technology. On this basis, according to the analysis results of technology evolution, the development of low-carbon technology system of coal power in the next time window (2024-2028) is systematically forecasted.
     
    關鍵字
    Evolution analysis; Technology forecasting; Text mining; Low-carbon technology; Coal-fired power
    報告人
    Fan Chen
    China University of Mining and Technology

    稿件作者
    帆 陳 中國礦業大學經濟管理學院
    金敏 張 中國礦業大學經濟管理學院
    家樂 林 中國礦業大學
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